Scale up your build with Physical AI.

Physical AI, delivered

Robots, drones, VTOL (vertical take-off) aircraft, IoT (connected) sensors and automation, with people, run as one hybrid workforce.

Humans in the lead

People set scope, sequence and quality. Every robot has a named human manager.

We do not build machines

Makers (OEMs, original equipment manufacturers) do. Atomgigs sources from makers, then staffs, integrates, deploys and operates.

Machines are arriving

603,000 industrial robots were installed in 2025, and about 250,000 professional service robots sold (IFR).

Labor is short

The U.S. needs 349,000 net new construction workers in 2026. 1.9M factory jobs could go unfilled by 2033.

Capital is flowing

Robotics startups raised more than $27B in Jan–Sep 2026 (Crunchbase), more than in any full year before.

Three sources

Robots, everything other than robots, and the humans: experts on contract.

Six buyer groups

Data centers; manufacturing and logistics; construction and infrastructure; public safety and defense; commercial services; physical AI labs.

One path

A consulting engagement, then a pilot (usually 4 to 8 weeks), then production.

Pay for capacity and outcomes

No capital outlay for machines and no long-term headcount.

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

• Two crew members in hard hats and harnesses check a roadway and wall project.
• An excavator and a loader work the same trench line behind them.
• Atomgigs adds robots, drones and sensors to crews like this, with people in the lead.

Demand is rising

• The top four hyperscalers guide to more than $720B 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 struggle to find qualified staff.

Capital is flowing

• By September, 2026 funding had passed every earlier full year.
• Humanoids and robot foundation models lead.

Robots are ready

• 79% of contractors surveyed by BuiltWorlds use jobsite robots.
• Layout, inspection, piling and unloading are paid work today.

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

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

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

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.

603K

~250K

~7,000

$27B+

• Rows of robot arms weld and assemble car bodies at Tesla's Fremont plant.
• Fixed, repeat jobs like these are the most proven use of robots.
• Auto is the largest U.S. buyer of industrial robots.

• An Apptronik Apollo humanoid moves items from bins into a shipping box.
• Humanoids are the newest robot type: about 7,000 full-size units sold in 2025 (IFR).
• Most are in pilots in warehouses and plants, with people supervising.

• A heavy-lift quadcopter with a lidar unit (blue) under its body.
• Lidar builds 3D maps of sites, stockpiles, roofs and structures.
• Drones like this are commercial today for mapping and inspection.

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

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.

~$15B

Raised in full-year 2025, the previous record

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.

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.

Milestone-linked

Milestone-linked advisory fees: part of the fee tied to agreed project milestones, set up front.

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

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

5.08M

Industrial robots in operation worldwide, end-2025 (IFR)

2,369

Generative AI insurance exclusions on file in 49 states, mid-2026

Engineering firms

Specify machines into the design.

Design and architecture

Make designs buildable and measurable.

MEP and specialty contractors

The trades where labor is tightest.

General contractors and builders

Schedule, margin and safety.

Construction and program managers

Control, reporting and coordination.

EPC, EPCM and data center builders

Scale, speed and peak labor.

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.

• A new Google data hall during its build, before racks go in.
• Boom and scissor lifts, a forklift and electrical gear share the floor.
• Each hall means weeks of overhead work, cabling and commissioning: tasks where robots and crews can work together.

• An Amazon Robotics drive unit, shown on display.
• In a warehouse, units like this slide under shelf pods and bring them to pickers.
• Mobile robots are scaled in warehouses today.

Infrastructure sectors

• Energy and power
• Airports
• Mines and quarries
• Oil and gas
• Transit, rail and roads
• Telecom towers and fiber
• Municipal public works and water
• Maritime and offshore
• Environmental remediation and decommissioning

Consulting engagement

• Review the site and the task.
• Choose machines and a measure.
• Design the safety case.

Pilot

• Usually 4 to 8 weeks; longer in public safety.
• One scope, one site, one metric.
• Go or no-go gate at the end.

Production

• Scale what the pilot proved.
• Machines and people run with you.
• Shift toward outcomes as machines earn it.

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.

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

Pilot

• One defined scope on site.
• Usually 4 to 8 weeks.
• Agreed success metrics.
• Fee based on Atomgigs' own estimate.

Managed crew

• A hybrid crew on retainer.
• Labor, machines and supervision.
• Flex up or down on notice.
• Weekly reporting on output and safety.

Outcome-based

• Paid for work completed.
• Priced per unit of finished work.
• Shared savings against a baseline.
• Multi-site master agreements.

Advisory

• Scoped engagements for expertise.
• Go-to-market support for makers.
• Diligence and tracking for investors.

Atomgigs is physical AI: machines and people as one hybrid workforce.

Humans in the lead, physical AI in the loop.

Atomgigs does not build machines. It sources them from makers.

Three sources: robots, everything other than robots, and the humans.

Every person on a project is a contractor.

Investors, enablers and channel partners each have a seat at the table.

Six buyer groups, physical AI labs included, each with its own pitch and starting pilot.

The path is consulting engagement, pilot, production.

Pay for capacity and outcomes. No capital outlay for machines.

Thirteen primers, 01 to 13, hold the detail, each at its own address.

Contact

• Monty Pandey, Founder and CEO
• Email [email protected]
• Phone +1-310-694-4750
• Web atomgigs.com
• Based in Los Angeles, with teams in San Francisco, Chicago, New York and Las Vegas, and 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.

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, logos and photos are used as examples and belong to their owners. This deck is for information only and is not a contract or an offer.

About the numbers

Numbers come from publicly available sources and are the latest available at publication. Costs, prices and returns are typical ballpark values, not quotes; they will be updated for your specific engagement.

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

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

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

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.