Robots Primer
A complete reference to the robots on the market: types and technology, 22 robots one by one, suppliers, operations and return on investment, and how humans lead them.
Overview
Atomgigs at a glance
Ten facts that frame the offer.
ATOMGIGS AT A GLANCE
Ten facts that frame the offer
The essentials a client, partner or investor needs before reading on.
01
Physical AI, delivered
Robots, drones, VTOL (vertical take-off) aircraft, IoT (connected) sensors and automation, with people, run as one hybrid workforce.
03
We do not build machines
Makers (OEMs, original equipment manufacturers) do. Atomgigs sources from makers, then staffs, integrates, deploys and operates.
05
Labor is short
The U.S. needs 349,000 net new construction workers in 2026. 1.9M factory jobs could go unfilled by 2033.
07
Three sources
Robots, everything other than robots, and the humans: experts on contract.
09
One path
A consulting engagement, then a pilot, then production.
02
Humans in the lead
People set scope, sequence and quality. Every robot has a named human manager.
04
Machines are arriving
603,000 industrial robots were installed in 2025, and about 250,000 service robots shipped.
06
Capital is flowing
Robotics startups raised $18.8B by mid-June 2026, more than in any full year before it.
08
End-user groups
Data centers; manufacturing and logistics; construction and infrastructure; public safety and defense; commercial services.
10
Pay for capacity and outcomes
No capital outlay for machines and no long-term headcount.
Chapter 1
Who Atomgigs is
What Atomgigs is, why now, the gap in the market, the hybrid workforce model and how people and machines share work.
1 WHO ATOMGIGS IS · 1.1 WHAT ATOMGIGS IS
Atomgigs puts humans and machines to work together
Every kind of physical AI, put to work on your build and kept running.
Machines
From makers, not from us
- Robots, drones and VTOL aircraft
- IoT devices and sensors
- Automation and control systems
- Digital twins (live site models) and simulation
- Any complex high-tech product that must be deployed
People
Experts on contract
- Independent experts, experts with their own company, or experts through a staffing firm
- Electricians, technicians, pilots, engineers and safety leads
- Atomgigs brings the talent to the table, wherever it comes from
Atomgigs
Scales up the build, then operates
- Sources machines from their makers
- Staffs, integrates and deploys
- Scales and operates the site
- Robot-agnostic: the machine is matched to the task
- Humans in the lead, physical AI in the loop
Atom means matter: AI used to move matter in the physical world. Gigs are jobs done. Atomgigs does not build robots; makers do.
1 WHO ATOMGIGS IS · 1.2 WHY NOW
Four forces make this the moment
Physical projects are growing faster than the teams that build and operate them, and machines are arriving.
349KNet new U.S. construction workers needed in 2026
603KIndustrial robots installed worldwide in 2025, a record
$18.8BRobotics startup funding by mid-June 2026, above any full year
~7,000Full-size humanoids sold in 2025
Demand is rising
- The top four hyperscalers guide to over $700B of capital spending in 2026.
- AI campuses, transit and energy programs are scaling up.
Labor is short
- 1.9M U.S. manufacturing jobs could go unfilled by 2033.
- More than half of data center operators lack qualified staff.
Capital is flowing
- Robotics funding passed every earlier year before mid-2026.
- Humanoids, robot intelligence and defense autonomy lead.
Robots are ready
- 79% of surveyed contractors use jobsite robots.
- Layout, inspection, piling and unloading are paid work today.
Machines are arriving. The people and process to deploy them are the scarce part.
1 WHO ATOMGIGS IS · 1.3 THE GAP IN THE MARKET
Robot makers sell machines. Owners need finished work
A robot on a pallet is not a productive crew. Between the factory and the finished site sits a layer nobody owns.
ROBOT MAKERS SELL
Machines
- Robots, as units or as a service
- Focus on product, funding and scale
- Few field and site-integration teams
- Support for the machine, not the project
- Deployment left to the buyer
THE GAP
Who does all of this?
- Selects and sources the right robot
- Integrates it into the site workflow
- Trains, supervises and keeps it running
- Staffs the people working beside it
- Answers when the schedule slips
OWNERS NEED
Outcomes
- Work finished on schedule and to spec
- Skilled people they cannot find
- Safety and compliance on live sites
- One responsible party, not five vendors
- A way to start small and scale
Atomgigs fills the gap: the integrator that scales your build and stays to operate, turning machines and labor into delivered work.
1 WHO ATOMGIGS IS · 1.4 THE HYBRID WORKFORCE MODEL
Robots take more of the load as they prove out
Clients get capacity from day one. The machine share grows as it proves safe, reliable and cheaper.
People leadRobots lead
- Phase 1Human crews
- Specialized trades placed fast
- Labor partners vetted
- Safety and quality managed
- Robots limited to pilots
- Phase 2Robot-assisted
- Robots take repetitive tasks
- Layout, drilling, tying, hauling
- Humans supervise and finish
- Safety cases proven
- Phase 3Hybrid crews
- Mixed crews by design
- Robots do the dull and dangerous work
- Humans do the judgment work
- Fleet orchestration
- Phase 4Robot-led
- Robots at scale across sites
- Humans as supervisors and technicians
- Fewer people, higher skill
- Robots handle routine operations
We never move faster than safety permits.
1 WHO ATOMGIGS IS · 1.5 HOW PEOPLE AND MACHINES SHARE WORK
People lead the work; machines handle defined tasks
“Humans in the lead, physical AI in the loop” is the operating model: people set scope, sequence and quality.
| Mode | Human role | Machine role | Typical work |
|---|---|---|---|
| Cooperation | Same area, sequential tasks | Does the step before or after the person | Robot moves materials to a human-run station |
| Shared task | Hands-on with the machine | Responds to human motion and force | People pick or fit; robots carry |
| Operator-directed | Directs from a tablet or remote; touches up | Does the bulk repetitive work | Finishing and drilling |
| Supervised autonomy | Sets the job, monitors, resolves exceptions | Runs the mission on its own | Layout from a design model; site rounds |
| Teleoperation | Takes control for exceptions or whole tasks | Executes motion; may be partly human-driven | Delivery and general-purpose robots |
| Fleet supervision | One person oversees many machines | Fleets coordinate themselves | Many robots under one supervisor |
Maturity rises down the table. In construction, most deployed systems today are operator-directed or supervised autonomy.
Chapter 2
Three sources
Robots, everything other than robots, and the humans: three inputs that make one crew.
2 THREE SOURCES · 2.1 THREE INPUTS, ONE CREW
Three inputs make one crew
Between robots, other machines and people, every source of product and talent is covered.
Robots
Primer 01 · atomgigs.com/robots
Every robot type for every application: arms and cobots (arms that work beside people), mobile robots, humanoids, legged robots, construction and heavy-equipment robots.
Each one profiled in depth.
Suppliers, ways to buy, lease or rent, safety and standards.
Everything other than robots
Primer 02 · atomgigs.com/oems
- Drones and unmanned vehicles, VTOL and advanced air mobility, IoT and sensors, automation and control, digital twins.
- Named makers in every group.
- These makers are Atomgigs' vendors.
The humans
Primer 03 · atomgigs.com/talent
- Role families: technicians, engineers, pilots, operators, safety leads and site pod leaders.
- Every person is a contractor: independent, with their own company, or through a staffing firm.
Atomgigs does not build machines. It sits between the maker and the client: it sources, staffs, integrates, deploys, scales and operates.
2 THREE SOURCES · 2.2 ROBOTS
Robots: every type, each with its level of proof
From factory arms to farm robots, every robot type is mapped to the jobs it does today.
603KIndustrial robots installed worldwide in 2025 (IFR)
~250KProfessional service robots shipped in 2025 (IFR)
~7,000Full-size humanoids sold in 2025 (IFR)
$18.8BRobotics startup funding by mid-June 2026
Arms and cobots
Mobile robots and forklifts
Storage, picking, unloading
Humanoids
Quadrupeds and legged
Crawlers and confined space
Construction robots by trade
Heavy equipment and mining
Data center robots
Solar and energy construction
Cleaning, delivery, hospital
Surgical and wearable
Agriculture robots
Waste, hazmat, nuclear, disaster
Lab automation
Semiconductor robots
Consumer robots
Aerial, marine and space
Fixed, repeat jobs are proven. Open-ended work is still being tested. Every robot is labeled by how proven it is.
2 THREE SOURCES · 2.3 EVERYTHING OTHER THAN ROBOTS
Everything other than robots: the other machines
Drones, VTOL, IoT, sensors and automation: the other machines that help people work in the physical world.
$44.4BCivil drone market, 2026
481,760FAA-certificated remote pilots, Nov 2025
21.1BConnected IoT devices, end of 2025
| Group | Examples | Proof today |
|---|---|---|
| Drones and delivery | Skydio, Zipline, Wing, Matternet, BRINC | Commercial |
| Industrial inspection | Percepto, Flyability, Voliro, Asylon | Commercial |
| VTOL and eVTOL | Joby, Archer, BETA, Wisk, Eve | Pilot; some concept |
| Marine unmanned | Saildrone, Ocean Infinity, Teledyne Marine | Commercial |
| IoT and sensors | Samsara, Cognex, Honeywell, Bosch | Commercial |
| Automation and control | Rockwell, Siemens, Emerson, Beckhoff | Commercial |
2 THREE SOURCES · 2.4 THE HUMANS
The humans: role families on contract
Experts who work alongside machines, brought to the table whether independent, in their own company or through a staffing firm.
Build and install
- Electricians and mechanical trades
- Commissioning agents
- BIM, VDC and digital twin
- IoT and network engineers
Machines and controls
- Robot technicians and integrators
- Controls and robotics engineers
- AI and perception engineers
- OEM-certified field technicians
Operate
- Remote operators and teleoperators
- Drone pilots and visual observers
- Logistics automation specialists
- Critical-facility technicians
Safety and quality
- Safety officers
- QA and inspectors
Lead and specialize
- Site pod leads and project managers
- Public-safety and cleared experts
- Service experts: health, farm, hospitality
- Trainers and curriculum experts
- Technical diligence experts
Atomgigs may hire some full-time staff, but every person on a project is a contractor. The Talent Primer shows each role, skill and machine.
Chapter 3
Investors
Consulting before and after the deal, and who we work with and how.
3 INVESTORS · 3.1 CONSULTING BEFORE AND AFTER THE DEAL
Capital is arriving faster than proof of deployment
Atomgigs helps investors find new physical AI investments and keep track of the ones they hold.
$18.8B
Raised by robotics startups by mid-June 2026, above any full year on record
~$15B
Raised in full-year 2025, the previous record
40%+
Share of 2025 robotics funding that went to ten companies
Find new investments
Market, trends, what is hot and what is not, and what is coming.
Diligence in the field
A diligence framework, and validation on real sites.
Track what you own
KPIs, investment-committee reporting and early-warning flags.
Support value creation
A board or observer role, plus M&A and exit support.
Atomgigs provides consulting and field evidence. Your team makes every investment decision.
3 INVESTORS · 3.2 WHO WE WORK WITH, AND HOW
Every kind of investor, and ways to work together
Investment views cover every focus area in this deck, from robots and OEMs to each end-user group.
Venture capital
LPs and funds of funds
Private equity
Real-asset and infrastructure funds
Growth equity
Corporate venture
Family offices
Sovereign funds
Advisory retainer
Ongoing access to the team: market intelligence and portfolio monitoring, on a monthly rhythm.
Project
Fixed scope and timing: diligence, a market map or field validation, with one report.
Board or observer role
A seat at the table: governance and operating support, agreed with the company.
Success-linked
Part of the work tied to a result: introductions, deals or exits, agreed up front.
Consulting, not investment advice. Models can be combined; scope and terms are agreed before work starts.
Chapter 4
Enablers
The six gates every deal clears, and the financiers, insurers, platforms and regulators behind them.
4 ENABLERS · 4.1 SIX GATES EVERY DEAL CLEARS
A physical AI deal clears six gates
Machines are only the second gate. Money, cover, clearance and operations decide whether a pilot reaches production.
1 Need
The client names a task, its cost today and the date a result is needed.
WHO DECIDES
Client
2 Machines
A maker or integrator fits robots, drones or vehicles to the task.
WHO DECIDES
OEM, integrator
3 Money
Someone funds the machines: a purchase, a lease or a monthly fee.
WHO DECIDES
Financier, lessor, OEM
4 Cover
An insurer prices the risk of damage, injury, downtime and cyber events.
WHO DECIDES
Insurer, broker
5 Clearance
The site, standards bodies and regulators confirm the work is safe and legal.
WHO DECIDES
Safety team, OSHA, FAA
6 Operate
Software runs the fleet and people supervise it, with data fed back.
WHO DECIDES
Platform, operator
Atomgigs works across all six gates, so a pilot is designed from day one to clear the ones that come later.
4 ENABLERS · 4.2 THE KINDS OF ENABLERS
The enablers behind every deal
Atomgigs works with enablers. It does not lend, insure or certify.
Financiers and lessors
Banks, equipment finance, specialty lenders, project finance, OEM captive finance and robots-as-a-service financing.
Insurers and brokers
Equipment, liability, workers' compensation, cyber, drone and aviation, builders' risk and surety.
Software and AI platforms
Robot operating systems and fleet management, foundation models, simulation and twins, cloud, edge and data, security.
Regulators, standards and certifiers
OSHA, FAA, FCC, NIST, ISO, ANSI, A3/RIA, UL, IEEE, NFPA and others.
$25M
Top limit of a standalone AI liability policy, Lloyd's, 2026
$8,500
A month: modeled service fee for one humanoid
2,369
Generative AI exclusion filings in 49 states
Pilots built with enablers from the start move to production faster. The Enablers Primer maps each group.
Chapter 5
Channel partners
How Atomgigs works through or alongside engineering, design, MEP and construction firms.
5 CHANNEL PARTNERS · 5.1 YOUR PROJECTS, MATCHED WITH MACHINES AND PEOPLE
Your projects, matched with machines and people
Atomgigs goes through partners to the end client, or alongside them. A partner can also be a client.
$2.2TU.S. construction spending a year
Engineering firms
Specify machines into the design.
Design and architecture
Make designs buildable and measurable.
349KWorkers the industry must add in 2026
MEP and specialty contractors
The trades where labor is tightest.
General contractors and builders
Schedule, margin and safety.
79%Surveyed contractors using jobsite robots
Construction and program managers
Control, reporting and coordination.
EPC, EPCM and data center builders
Scale, speed and peak labor.
When the partner is the client, Atomgigs advises on how to figure out projects, how to execute them, and projects already in motion.
5 CHANNEL PARTNERS · 5.2 WAYS TO WORK TOGETHER
Ways to work together
Pick the model that fits the project. The Channel Partners Primer compares them.
Teaming
Pursue the project together, with machines in the pursuit and the price.
Subcontract
Engage Atomgigs as a machine trade, with its own scope.
Referral
A light-touch model: you keep the client relationship.
White-label
Machines and crews offered under your relationship with the client.
Master agreement
Move fast on repeat work under terms agreed once.
BIM and VDC integration
Connect machine data to your models and reports.
Advisory
Atomgigs as your advisor on physical AI.
How a project runs
Win the work, specify and procure, pilot, then scale. Machines and people arrive as one team under one pod lead.
Start with one project. Every model can grow into a master agreement.
Chapter 6
End users
Buyer groups, the big players in each and where a first pilot fits.
6 END USERS · 6.1 END-USER GROUPS
End-user groups, each with its own pitch
Atomgigs targets buyers by group: how they buy, who the big players are and where a first pilot fits.
| Group | Who buys | Big players (examples) | Where a first pilot fits |
|---|---|---|---|
| Data centers | Hyperscalers, colocation providers, neoclouds (clouds built for AI), AI labs, enterprise and edge | Amazon (AWS), Microsoft, Google, Meta; Equinix, Digital Realty; CoreWeave, Crusoe | Layout and drilling robots on new halls; inspection robots in live halls |
| Manufacturing and logistics | Automakers and other manufacturers, 3PLs (third-party logistics firms), carriers, warehouse operators | Ford, GM, Toyota, Hyundai, Tesla; GXO, DHL Supply Chain, Ryder | Machine-tending or palletizing cell; AMR (mobile robot) zone; truck unloading |
| Construction and infrastructure | Builders, owners, program managers; energy, mining, oil and gas, transit, telecom, public works | Sundt, Brasfield & Gorrie; Georgia Power, Shell, Chevron, Port of Rotterdam | Inspection and capture rounds against the model |
| Public safety and defense | Police, fire, EMS, security, corrections, border; installations, depots and primes | About 17,500 police agencies, 29,500 fire departments, 23 Army depots | A 90-day drone-first-response district pilot. No weapons |
| Commercial services | Healthcare, hospitality, real estate and facilities, food, agriculture, retail, waste | Greystar, Marriott, Hilton, Cedars-Sinai, Providence, Aramark | One site, one task, one measure |
Each group has its own primer with full buyer profiles, what each cares about and the roles to approach.
6 END USERS · 6.2 DATA CENTERS
Data centers: who buys
Hyperscalers, colocation providers and neoclouds each buy, build and run capacity differently.
| Group | Big players | How they get capacity | Where Atomgigs starts |
|---|---|---|---|
| Hyperscalers | Amazon (AWS), Microsoft, Google, Meta, Oracle | Self-build and lease; about $730B of 2026 capex | Layout and drilling robots on new halls |
| Colocation providers | Equinix, Digital Realty, QTS, CyrusOne, Vantage, Aligned, STACK, Compass | Build and lease to many tenants | Inspection robots and drones in live halls |
| Neoclouds | CoreWeave, Nebius, Crusoe, Lambda, Nscale, Fluidstack | Lease shells from landlords; building more | Fast fit-out and commissioning crews |
| AI labs | OpenAI, xAI, Anthropic | Build gigawatt campuses with partners | Hybrid crews to compress the build |
| Enterprise and edge | Banks, health systems, retailers; telecom and CDN operators | Own, lease or rent colocation | IoT monitoring and inspection pilots |
Also developers and miners, and government sites. Hyperscalers are 59% of 2026 demand (JLL); every group needs its own pitch.
6 END USERS · 6.3 MANUFACTURING AND LOGISTICS
Manufacturing and logistics: plants, warehouses, freight
Auto buys the most robots; 3PLs add automation when a client contract pays for it.
| Segment | Big players | What the primer shows | First pilot |
|---|---|---|---|
| Automotive and EV | Ford, GM, Stellantis, Toyota, Hyundai, Tesla, Rivian | Auto took about 40% of U.S. industrial robot installs in 2024 | Machine-tending cell, palletizing cell or AMR zone |
| 3PLs and contract logistics | GXO, DHL Supply Chain, Ryder, NFI, Geodis, Kuehne+Nagel | GXO runs 1,000+ sites; DHL Group uses 7,500+ robots | Truck-unloading pilot or AMR zone |
| Other manufacturing | Electronics and semiconductors, aerospace and space, medical devices, food and beverage, pharma, metals, machinery, batteries | Profiled sub-sector by sub-sector | Visual inspection or palletizing cell |
| Freight, yards and ports | Trucking and freight, yards, last mile, shipping, air cargo, rail; ports link to infrastructure | Autonomy and teleoperation lead the debate | Yard automation pilot |
Start with a task that is boring, bounded and measurable. Pilot packages, each a few weeks long.
6 END USERS · 6.4 CONSTRUCTION AND INFRASTRUCTURE
Construction and infrastructure: builders and owners
Construction buyer groups and infrastructure sectors, each with its own entry point.
| Construction group | Entry point |
|---|---|
| Commercial and industrial | GC technology lead or owner capital projects |
| Data center developers and builders | Builder operations and owner program team |
| Residential and multifamily | Division or regional operations lead |
| Heavy civil | Contractor operations, then agency pilot |
| Owner's reps and program managers | Technology and innovation practice leads |
Infrastructure sectors
- Energy and power
- Airports
- Mines and quarries
- Oil and gas
- Transit, rail and roads
- Telecom towers and fibre
- Municipal public works and water
- Maritime and offshore
- Environmental remediation and decommissioning
Go direct to large builders; ten firms hold 23% of ENR Top 400 revenue. Reach the long tail through partners. First pilot: inspection and capture.
6 END USERS · 6.5 PUBLIC SAFETY AND DEFENSE
Public safety and defense: who buys
Observation, inspection, rescue and hazardous-duty machines, with people in the lead. No weapons.
| Buyer group | Scale and money | Starting pilot |
|---|---|---|
| Municipal and state police | About 17,500 state and local agencies; city and county budgets, federal grants | 90-day drone-first-response district pilot |
| Fire and rescue | About 29,500 departments, 62% volunteer firefighters; local budgets, FEMA grants | Wildfire detection and mapping, one county, one season |
| EMS and emergency management | Counties, states, hospital systems and FEMA | One response-zone test |
| Security operators and private security | Utilities, ports, campuses, venues; operating budgets | Perimeter pilot on one fenced site |
| Corrections and border | Federal and state prison systems, CBP; appropriations | Perimeter and patrol on one fenced site |
| Military installations and depots | 23 Army depots, arsenals and plants, plus Air Force and Navy sites | Depot inspection cell; one logistics route |
| Defense primes and integrators | Large primes, mid-tier firms and startups; program funds | Inspection cell; digital twin and training |
Each pilot starts where proof is strongest, with public reports and clear limits on every deployment.
6 END USERS · 6.6 COMMERCIAL SERVICES
Commercial services: the segments
One site, one task, one measure, starting where the problem is known and the measure is easy.
| Segment | Big players (examples) | First pilot | Measure |
|---|---|---|---|
| Multifamily | Greystar, AvalonBay, Equity Residential | Overnight garage patrol | Guard hours removed |
| Commercial property and facilities | Allied Universal; airports and large campuses | Night floor care in one building | Rider hours removed |
| Hospitality and venues | Marriott, Hilton, IHG, Wyndham; Aramark; Disney parks | Back-of-house linen hauling | Hours removed |
| Food service | White Castle, Jack in the Box, Sweetgreen, Taco Bell, Sodexo | One kitchen station | Hours and errors |
| Healthcare | Cedars-Sinai, Providence, Endeavor Health, VA, Mercy | Pharmacy delivery on one unit | Nurse hours returned |
| Retail | Walmart, Harmons, Theisen's, Homebase USA | Floor care in two stores | Hours removed |
| Agriculture | Large growers, Taylor Farms, dairy operators | Weeding on one block | Labor hours |
| Waste and recycling | Waste Management, Republic Services, Waste Connections, GFL | One sorting line or route | Safety events and picks |
Chapter 7
How it works
Consulting, pilot, production; services, the site pod and how Atomgigs is paid.
7 HOW IT WORKS · 7.1 CONSULTING, PILOT, PRODUCTION
Three steps from idea to production
Every step ends with a decision you make.
1
Consulting engagement
- Review the site and the task.
- Choose machines and a measure.
- Design the safety case.
2
Pilot
- Four to eight weeks.
- One scope, one site, one metric.
- Go or no-go gate at the end.
3
Production
- Scale what the pilot proved.
- Machines and people run with you.
- Shift toward outcomes as machines earn it.
Contractors are hired per gig as the work grows. Atomgigs scales up the build and stays to operate.
7 HOW IT WORKS · 7.2 SERVICES
Everything the hybrid workforce needs, plus advice
Buy the full package or pick the pieces.
Machine sourcing
Select and contract the right machines from many makers, on service or purchase terms.
Equipment and automation
Coordinate drones, IoT sensors, controls and digital twins with the makers.
Specialized labor
Vetted experts engaged as contractors, gig by gig.
Integration and engineering
Site mapping, task design, tooling, networks, charging and handoffs.
Safety and compliance
Safety cases, training, supervision and incident response for people and machines.
Fleet operations
Deployment, monitoring, maintenance and uptime, with remote support.
Data and reporting
Productivity, progress and safety data, reported weekly.
Advisory
Consulting for owners, partners, makers and investors.
One accountable team for the machines, the people and the result, from build to operations.
7 HOW IT WORKS · 7.3 THE SITE POD
A pod, not a pyramid
A small senior pod runs each site, with a named human manager for every robot.
Site Pod Lead
- Single point of contact
- Owns schedule and outcome
- Weekly reporting
Robotics Lead
- Chooses machines per task
- Runs integration and tooling
- Fleet uptime
Skilled Crew
- Trades on contract
- Works beside machines
- Foreman on every shift
Safety and Compliance
- Site safety plan
- Human-machine zoning
- Stop-work authority
Remote Ops and Data
- Fleet monitoring
- Progress capture
- Owner dashboards
Right-sized to the scope, and scaled up or down as the work changes.
7 HOW IT WORKS · 7.4 PAY FOR CAPACITY AND OUTCOMES
Start small. Pay for capacity and outcomes
No capital outlay for machines and no long-term headcount. Scale up as results are proven.
Pilot
START HERE- One defined scope on site.
- Four to eight weeks.
- Agreed success metrics.
- Fee based on Atomgigs' own estimate.
Managed crew
ONGOING WORK- A hybrid crew on retainer.
- Labor, machines and supervision.
- Flex up or down on notice.
- Weekly reporting on output and safety.
Outcome-based
AS THE MODEL MATURES- Paid for work completed.
- Priced per unit of finished work.
- Shared savings against a baseline.
- Multi-site master agreements.
Advisory
OWNERS, MAKERS, INVESTORS- Scoped engagements for expertise.
- Go-to-market support for makers.
- Diligence and tracking for investors.
Start with a pilot; move to a managed crew; shift to outcomes as the machines earn it.
7 HOW IT WORKS · 7.5 TEN THINGS TO REMEMBER
Ten things to remember
The offer in one page.
01
Atomgigs is physical AI: machines and people as one hybrid workforce.
03
Atomgigs does not build machines. It sources them from makers.
05
Every person on a project is a contractor.
07
End-user groups, each with its own pitch and starting pilot.
09
Pay for capacity and outcomes. No capital outlay for machines.
02
Humans in the lead, physical AI in the loop.
04
Three inputs: robots, everything other than robots, and the humans.
06
Investors, enablers and channel partners each have a seat at the table.
08
The path is consulting engagement, pilot, production.
10
Primers hold the detail, each at its own address.
Chapter 8
Next steps
How to start a pilot.
8 NEXT STEPS · 8.1 START A PILOT
Have a project to scale up with people and machines?
Tell us about the site, the scope and the schedule. We will come back with a proposal.
Contact
- Monty Pandey, Principal and CEO
- Email [email protected]
- Phone +1-310-694-4750
- Web atomgigs.com
- Based in Los Angeles, with no geographic limit
Next steps
- 1 We meet to discuss your requirements.
- 2 We send a consulting proposal within five days.
- 3 We design a pilot with one scope, one site and one metric.
- 4 We scale what the pilot proves.
Consulting engagement, then pilot, then production.
Chapter 9
Addendum A: robots by application
Which robot does which job, in every line of business, and how proven it is.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.1 BUILDING AND HEAVY INDUSTRY
Building and heavy industry: the jobs robots already do
Layout, drilling, rebar, piling, earthmoving and haulage.
| Job to be done | Robots that do it | Examples | Proof today |
|---|---|---|---|
| Marking floor layout | Layout robots | Dusty Robotics, HP SitePrint | Commercial |
| Drilling overhead anchors | Drilling robots | Hilti Jaibot | Commercial |
| Tying rebar on decks | Rebar-tying robots | Advanced Construction Robotics (TyBot) | Commercial |
| Installing solar piles and modules | Piling and module robots | Built Robotics, AES, Terabase | Commercial; modules early |
| Capturing and inspecting progress | Quadrupeds and drones | Boston Dynamics Spot, Skydio | Commercial |
| Moving earth | Autonomous excavators and dozers | Built Robotics, Teleo | Commercial to pilot |
| Hauling in mines | Autonomous haul trucks | Caterpillar, Komatsu | Scaled |
| Laying bricks, printing walls | Bricklaying and 3D-print robots | Construction Robotics, ICON | Early commercial |
Start with capture, layout and inspection: lowest risk, easy to measure against the model.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.2 DATA CENTERS, FACTORIES, WAREHOUSES
Data centers, factories, warehouses: arms and movers
The densest use of robots today, and the main place humanoids are being tested.
| Job to be done | Robots that do it | Examples | Proof today |
|---|---|---|---|
| Inspecting halls, thermal checks | Quadrupeds and drones | Boston Dynamics Spot, thermal drones | Commercial |
| Swapping racks and routing cable | Arms on mobile bases | Vendor pilots | Pilot |
| Welding, assembly, machine tending | Arms and cobots | Fanuc, ABB, KUKA, Universal Robots | Scaled |
| Palletizing and packing | Palletizing cells | Arm and cell makers | Scaled |
| Moving goods in warehouses | Autonomous mobile robots | Amazon Robotics, Locus, Symbotic | Scaled |
| Unloading trucks | Unloading robots | Boston Dynamics Stretch, Pickle | Commercial |
| Moving trailers in yards | Autonomous yard trucks | Outrider | Commercial |
| Totes and general tasks | Humanoids | Agility Digit, Figure, Apptronik | Early commercial |
Warehouse and arm cells are proven; unloading and humanoids are the growth frontier.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.3 HEALTH, HOSPITALITY, RETAIL, PROPERTY
Health, hospitality, retail, property: public spaces
Delivery, cleaning, patrol and care, in places where people are close by.
| Job to be done | Robots that do it | Examples | Proof today |
|---|---|---|---|
| Surgery | Surgical robots | Intuitive da Vinci | Scaled |
| Hospital delivery | Delivery robots | Aethon TUG, Diligent Moxi | Commercial |
| Floor cleaning | Autonomous cleaners | Brain Corp, Avidbots | Commercial |
| Hotel and restaurant delivery | Service robots | Bear Robotics, Pudu | Commercial |
| Scanning shelves | Shelf-scanning robots | Simbe Tally | Commercial |
| Patrolling garages and campuses | Security robots | Knightscope, Cobalt | Commercial |
| Vacuuming homes | Robot vacuums | iRobot, Roborock | Scaled |
| Household chores | Home robots with arms | Early vendors | Early commercial |
Pilot one task in one site first; the measure is hours returned to staff.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.4 FARMS, WASTE, LABS AND FABS
Farms, waste, labs and fabs: repeatable work
Machines do the dull, sorted and sterile jobs.
| Job to be done | Robots that do it | Examples | Proof today |
|---|---|---|---|
| Weeding | Laser and vision weeders | Carbon Robotics, FarmWise | Commercial |
| Harvesting fruit | Harvest robots and drones | Tevel, Advanced Farm | Early commercial |
| Milking | Milking robots | Lely, DeLaval | Scaled |
| Sorting recycling | AI sorting robots | AMP Robotics, ZenRobotics | Commercial |
| Running lab protocols | Lab automation | Opentrons, Hamilton | Commercial |
| Running experiments end to end | Self-driving labs | Research programs | Pilot |
| Moving wafers in fabs | Wafer-handling robots | Brooks, Hirata | Scaled |
| Hazardous or nuclear sorting | Remote sorting robots | National labs | Pilot or concept |
Controlled settings give the cleanest pilots: the task repeats and the result is counted.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.5 SAFETY, HAZARD AND DEFENSE SITES
Hazard and defense sites: machines take the risk
Observation, inspection, rescue and hazardous work. No weapons.
| Job to be done | Robots that do it | Examples | Proof today |
|---|---|---|---|
| Handling hazmat and bombs | Tracked and arm robots | Teledyne FLIR, Endeavor | Commercial |
| Retrieving nuclear waste | Remote arms and crawlers | National lab programs | Early commercial |
| Finding fires from the air | Wildfire drones | Drone makers and agencies | Commercial |
| Fighting fires | Firefighting robots | Fire-service pilots | Pilot |
| Patrolling a perimeter | Ground robots and drones | Knightscope, Asylon | Commercial |
| Responding to 911 calls | Drone-first-response | BRINC, Skydio | Commercial |
| Searching after disasters | Search and rescue robots | Research teams | Pilot |
| Inspecting depots and plants | Inspection robots | Depot programs | Pilot |
People stay in the lead on every deployment, with clear limits written down first.
9 ADDENDUM A: ROBOTS BY APPLICATION · 9.6 MATURITY MAP
The maturity map: how proven is each robot?
Match the ambition to the evidence.
SCALED
- Factory arms and cobots
- Warehouse robots
- Surgery robots
- Mining haulage
- Robot vacuums
- Fab robots
COMMERCIAL
- Cleaning robots
- Inspection robots
- Solar piling
- Hazmat robots
- Recycling sorters
EARLY COMMERCIAL
- Humanoids
- Home robots with arms
- Module installers
- Nuclear retrieval
PILOT OR CONCEPT
- Autonomous nuclear sorting
- Self-driving labs
- Space robots
Scale on what is scaled; pilot what is early. Each robot in the Robots Primer carries its own label.
Chapter 10
Addendum B: other machines by application
Drones, VTOL, marine, IoT and automation, and the makers behind them.
10 ADDENDUM B: OTHER MACHINES BY APPLICATION · 10.1 DRONES BY APPLICATION
Drones by application: sectors that already fly
The civil drone market is $44.4B in 2026, led by inspection, mapping and delivery.
| Sector | What drones do |
|---|---|
| Construction | Progress capture, site mapping, volume and roof surveys |
| Data centers | Roof, perimeter and thermal inspection |
| Mines and quarries | Stockpile volumes, blast surveys, haul-road mapping |
| Oil and gas | Flare, tank and pipeline inspection |
| Utilities and telecom | Line, tower and substation inspection |
| Rail | Track, bridge and right-of-way surveys |
| Ports and airports | Perimeter, yard and apron checks |
| Agriculture | Crop scouting, spraying and mapping |
| Public safety | First response, search and fire mapping |
| Logistics and delivery | Parcel, medical and yard-inventory flights |
10 ADDENDUM B: OTHER MACHINES BY APPLICATION · 10.2 VTOL AND MARINE
VTOL and marine: the longer reach
Aircraft that take off like helicopters, and vessels that work without a crew on board.
VTOL and eVTOL aircraft
Pilot, some concept
- Joby, Archer, BETA, Eve
- Cargo and inspection hops to remote sites
- Air taxi and medical flights as rules mature
- Best for time-critical moves over difficult ground
Marine unmanned vehicles
Commercial
- Saildrone, Ocean Infinity, Teledyne Marine
- Seabed and route survey
- Port, hull, pipeline and offshore inspection
- Best for work over water or underwater
VTOL is for pilots and partners; marine is ready for survey and inspection programs today.
10 ADDENDUM B: OTHER MACHINES BY APPLICATION · 10.3 IOT AND AUTOMATION
IoT and automation: the eyes and nerves of a site
21.1B connected devices at the end of 2025; sensors and controls make robots useful.
IoT and sensors
- Makers: Samsara, Cognex, Honeywell, Bosch
- Vision, vibration, temperature and location sensors
- Fleet and asset tracking
- Edge computing and data feeds
Automation and control
- Makers: Rockwell, Siemens, Emerson, Beckhoff
- Controllers, drives and industrial networks
- PLCs that robots plug into
- Digital twins and simulation
Where it applies
- Factories: machine health, quality vision
- Warehouses: asset and fleet tracking
- Data centers: power, cooling and leak sensing
- Construction: site and equipment telemetry
Instrument the site first. A pilot without data cannot prove value.
10 ADDENDUM B: OTHER MACHINES BY APPLICATION · 10.4 MAKERS BY GROUP
Makers by group: which one fits which job
Drone, inspection, VTOL, marine, IoT and automation makers, matched to the job.
| Group | Examples | Best for |
|---|---|---|
| Drones and delivery | Skydio, Zipline, Wing, Matternet, BRINC | Delivery, first response, mapping |
| Industrial inspection | Percepto, Flyability, Voliro, Asylon | Tanks, plants, confined and high places |
| VTOL and eVTOL | Joby, Archer, BETA, Eve | Cargo and passenger air mobility |
| Marine unmanned | Saildrone, Ocean Infinity, Teledyne Marine | Survey, ports and offshore |
| IoT and sensors | Samsara, Cognex, Honeywell, Bosch | Monitoring, vision and tracking |
| Automation and control | Rockwell, Siemens, Emerson, Beckhoff | Controls and plant integration |
Makers are the vendors. Atomgigs matches the maker to the task and the site.
10 ADDENDUM B: OTHER MACHINES BY APPLICATION · 10.5 HOW TO CHOOSE A MAKER
Six questions that choose the maker
Ask these before any shortlist.
1 What is the task?
One job, in one place, that repeats.
2 How proven is it?
Scaled, commercial, early or pilot.
3 What are the rules?
FAA, OSHA and site standards for this machine.
4 Who services it?
Parts, support and field technicians nearby.
5 How is it bought?
Buy, lease, rent or service contract.
6 What is the measure?
Hours, errors, safety events or cost per unit.
Atomgigs runs this checklist on every pilot and records the answers.
Appendix
About us and notes
The primers, Atomgigs, Mavengigs, Monty Pandey and notes on use.
A APPENDIX: ABOUT US AND NOTES · A.1 THE PRIMERS
The primers, one address each
Every primer is readable on atomgigs.com or in presentation mode.
| # | Primer | Address | What it promises |
|---|---|---|---|
| 00 | Value Proposition | atomgigs.com | Why Atomgigs, and how it works. |
| 01 | Robotics | atomgigs.com/robots | Every robot type, for every application. |
| 02 | OEMs, Drones and VTOL | atomgigs.com/oems | Everything that helps people work in the physical world, other than robots. |
| 03 | Talent | atomgigs.com/talent | The experts who work alongside physical AI. |
| 04 | Investors | atomgigs.com/investors | Where physical AI capital is going, and how to find and track deals. |
| 05 | Enablers | atomgigs.com/enablers | The organizations that pay for, insure, run and approve machines at work. |
| 06 | Channel Partners | atomgigs.com/channel-partners | Winning and delivering projects with physical AI. |
| 07 | Data Centers | atomgigs.com/data-center | How data centers are built, run and paid for, and who buys them. |
| 08 | Manufacturing and Logistics | atomgigs.com/manufacturing | How goods are made, stored and moved. |
| 09 | Construction and Infrastructure | atomgigs.com/construction | How we build and run the physical world. |
| 10 | Public Safety and Defense | atomgigs.com/public-safety | Extending public safety and defense teams with machines. No weapons. |
| 11 | Commercial Services | atomgigs.com/commercial | Where robots, drones and automation work in service businesses. |
A APPENDIX: ABOUT US AND NOTES · A.2 ATOMGIGS
Atomgigs: Physical AI Delivered as Jobs Done
Machines and people as one hybrid workforce, to scale up what you build and run. Primers hold the details.
What Atomgigs is
- Robots, drones, VTOL, IoT and automation, with people, as one hybrid workforce.
- Humans in the lead, physical AI in the loop.
- Not a machine builder: it sources from makers, then staffs, integrates, deploys and operates.
The inputs
- Robots: every robot type, profiled in depth.
- Everything other than robots: drones, VTOL, IoT and automation, from many makers.
- The humans: role families across the trades, engineering and safety, every person a contractor.
Who we work with
- Investors: consulting before and after the deal.
- Enablers: financiers, insurers, platforms and regulators behind every deal.
- Channel partners: engineering, design, MEP and construction firms.
End-user groups
- Data centers
- Manufacturing and logistics
- Construction and infrastructure
- Public safety and defense (no weapons)
- Commercial services
How it works
- Consulting engagement, then a short pilot, then production.
- One scope, one site, one metric in the pilot.
- A small senior pod runs every site, with a named human manager for every robot.
How we are paid
- Pilot, managed crew, outcome-based or advisory.
- No capital outlay for machines and no long-term headcount.
- Pay for capacity and outcomes; scale up as results are proven.
Atomgigs is a Mavengigs venture. Atomgigs is a division of Panvisage Inc.
A APPENDIX: ABOUT US AND NOTES · A.3 MAVENGIGS
Mavengigs: the Scale Up Guys
Consulting, Capital and Ventures.
$20B+M&A deal value
30+Years consulting
50+Companies scaled
$100M+Business impact
Mavengigs Consulting
- Strategic M&A, transformation and optimization
- Focused on the part of M&A that begins after everyone shakes hands
- Built for PE-backed and Fortune 500 teams
Mavengigs Capital
- An independent sponsor platform
- Family office strategy and management
Mavengigs Ventures
- Funding and mentorship for founders we back
- Panmedical: digital health in India, run as CEO
- Atomgigs, Mavens Life and Mavens Health
Mavengigs is a division of Panvisage Inc.
A APPENDIX: ABOUT US AND NOTES · A.4 MONTY PANDEY
Monty Pandey: Founder and CEO
Founder, CEO and driving force behind Atomgigs
Career and experience
- 30+ years of management consulting: managed major M&A deals totaling $20 billion; scaled 50+ companies for $100 million of impact
- Deep expertise in M&A consulting, including integrations and divestitures
- 2018 to present: Mavengigs: Consulting, Capital and Ventures
- 2004 to present: Founded Panvisage, CEO for 22 years
- 2024 to present: Panmedical CEO (digital health)
- 1998 to 2004: Oracle, led 14 enterprise programs
- 1994 to 1996: Rolled out nationwide cell networks
- 1992 to 1994: Car and truck design (CAD, CAM, CIM)
- 1991: B.E. Electrical and Electronics Engineering
- 1989 to 1991: Designed robots, AGVs and manufacturing transfer lines
- Data centers: built one from scratch in 2000; data center migration in 2008; Equinix in 2020
- E&C companies: WSP, Jacobs, Worley, Halliburton, Fluor, Brown & Root
- Managed the buildout of a manufacturing plant and a distribution center
Monty Pandey
- Founder and CEO, Atomgigs
- Founder and CEO, Mavengigs
- Co-founder and CEO, Panmedical
| Selected transactions | Value | Role |
|---|---|---|
| GE Appliances / Haier | $5.6B | Readied for sale |
| Jacobs / CH2M / Worley | $3.3B | Integration, Divestiture |
| ITW Signode / Carlyle | $3.2B | Carve-out, then sale |
| AMLI / Morgan Stanley | $2.1B | Take-private |
| Fortune Brands / ACCO / GBC | $2B | Divestiture, Integration |
| Equinix / Packet | $335M | Integration |
A APPENDIX: ABOUT US AND NOTES · A.5 NOTES
Notes on use
Three things to keep in mind when reading this deck.
Not investment advice
Atomgigs provides consulting. We are not an investment advisor, so you make your own decisions on investments.
Products belong to their owners
Company, product and robot names are used as examples. They belong to their owners.
About the numbers
All numbers in this document are based on publicly available sources and will be updated for your specific engagement as relevant.
Start a pilot
Have a project to scale up and operate with hands and machines?
Tell us about the site, the scope and the schedule. We will come back with a pilot proposal within five days. Monty Pandey, CEO · [email protected] · +1-310-694-4750 · Los Angeles, California.