One vision. Every circuit connected.
This whole plan is one machine. Hover a node to see what it powers. Click to fly to that subsystem.
The assets are real.
The structure isn't finished.
We customize enterprise-grade robots to fit how each business actually operates — source, customize, deploy — as a fully managed service.
Nursing-round telepresence
The $11.8M LOI — 300 units into healthcare facilities, automating vitals rounds, delivery, and non-patient tasks.
Charging-station manager robots
Robots that manage electric-vehicle downtime — physically plugging in vehicles that need a human hand today. A pilot is underway right now.
Hotel operations
Back-of-house logistics, delivery, and guest-facing service in hotels — a staffing-shortage industry ready for the PureUpside wedge.
We are the deployment layer
Hardware manufacturers build platforms. Physical-AI companies build intelligence. Neither can put a working robot inside a real business. We partner with both sides and build everything in between.
Hardware OEMs
Platform supply — arms, chassis, lifts, hands
OPEN DROIDS
Task fit · reliability engineering · on-site integration · managed operations
Physical-AI Models
Intelligence supply — manipulation & embodied reasoning
In commercial service deployment, nobody else plays this role — InOrbit orchestrates warehouses, Formant sells fleet tooling, Formic and Intrinsic live in industrial manufacturing. The commercial deployment layer is empty. We take it — with VLA-native orchestration, an always-upside contract, and India-leveraged economics.
The API layer for all robots
One interface between every business problem and the right robot — regardless of vendor, regardless of use case. The experts in between, so neither side gets ripped off.
The right robot, not our robot
Buyers don't know robots; robot makers don't know the buyer's operation. We consult across every use case and match the platform that actually fits — ours or anyone's.
Nobody gets ripped off
Buyers don't overpay for the wrong platform; OEMs get qualified, deployment-ready customers. We monetize deployment and RaaS — never information asymmetry.
The LOI queue is the proof
Every concierge conversation is captured via Google sign-in, curated into a plan, and converted toward pre-orders and LOIs — a visible queue of real demand for whoever gets robots out of labs and into production.
> curated plans → follow-up → pre-order/LOI
> every entry = evidence of demand
Robots that build robots
Long-term, Open Droids is not just deploying robots. We're building toward self-replication: develop one robot that can assemble the next one.
A factory factory
A production system where robots build more robots — capacity that compounds instead of scaling linearly.
Deployments fund the mission
Every deployment generates the revenue, the data, and the reliability engineering self-replication will demand.
Trust, earned deliberately
None of it happens unless clients — and people — trust these robots far beyond what the industry has earned. We build that trust deployment by deployment, by design.
Get the robots out. And collect.
Bigger is better — more orders force cleaner execution. First on the ground wins what no lab can produce: real-world task data and real-world failures.
We collect more than the models consume
Cameras, audio, everything — but only while the robot is working: executing tasks, running agent workflows, interacting with people. Never passive, never always-on. Partners only ever touch a slice.
Partners get their slice free
Physical-AI partners get free access to deployment data — that free flow is what cements the partnerships.
The surplus is ours to sell — consented & rights-cleared
Idle-time perception, human interaction, agent traces — captured event-triggered with on-device de-identification, healthcare fenced under BAAs. What we sell is the consented, rights-cleared dataset; that's what makes it sellable at all.
Annotation is the edge
A large, extremely accurate annotation team in India turns raw logs into labeled, high-value datasets at very low cost.
Let everyone build on these robots
The biggest key: thousands of roboticists and software engineers creating on our platforms — without owning a robot. We are not building robots stuck in time.
Hosted simulation platform
A website where anyone can experiment, write algorithms, and vibe-code their way up. // UNDER DEVELOPMENT — ALMOST READY
Clone it. Run it. It works.
Movement, grasping, core task primitives — R2D3_ros2 is live and public today; the rogent-v3 orchestrator opens with the platform launch. Together: the community's starting point.
Robot Orchestration System
Our core IP: the orchestration layer that wraps physical-AI models and gives the robot agentic interaction with its surroundings — built on Gemini Robotics-ER, publicly available via API since July 30, 2026.
The API door is already open
Gemini Robotics-ER went public API on July 30, 2026 — we can build on it today, no permission needed. The partnership play: one robot demonstrably working end-to-end on it, then walk it into DeepMind.
Real money for real progress
Community builders earn bounties for every "solve" or meaningful contribution to the models and code — the stack actively improves because improving it pays. Standout contributors get onboarded full-time from the community — the bounty board doubles as our hiring pipeline.
The loop closes in deployment: real → sim → real plus reinforcement learning in the field. Collect, fine-tune, redeploy — every robot keeps improving.
First contact → deployed robot
One pipeline. Six stages. Two continents. Hover each station.
Outreach & Contract
SALESLand the PureUpside agreement — the always-upside contract. The $0-cost automation audit is the wedge in the door.
Audit & Discovery
ON-SITECapture problems, map what to automate, review layouts, workflows, throughput, payroll baselines.
Sourcing Decision
PER USE CASEAdapt an existing design, create a whole new robot, or procure a platform from China.
R&D, Build & Test
INDIAHardware design + software harness by top engineers and standout students. Partner models supply intelligence; we build the rest for whole-task reliability.
Integration & Assembly
USAOnly actuators & mechanical parts ship over. Every sensor and Jetson is bought in the US — NDAA & FCC compliance is the point, the value prop — assembled at our SF site, locked with CBP binding rulings before scale. A US-based robot: simple, safe to use.
Deploy & Operate
CUSTOMER SITE30-day proof-of-savings pilot (≥33% cost cut, ≥98% completion), convert waves, operate under RaaS.
What's on. What we switch on next.
Not roles — objectives. An honest board of what the current team covers against what the pipeline demands.
On-site discovery, workflow mapping, solution architecture.
Full-stack robotics — ROS, autonomy, manipulation — through whole-task reliability.
OEM + physical-AI partnerships — carried alongside build work; short-term sustainable only.
Founder-level investor access and the PureUpside contract engine.
The CEO seat is empty; the Founder sits above the structure. Finding the operator is a near-term objective.
No one owns outreach and closing PureUpside agreements at volume.
The Founder owns fundraising; missing is an experienced operator beside him.
The India facility and US assembly site don't exist yet. Both get stood up.
Post-conversion, someone must own uptime and the 98% guarantee daily.
An experienced CEO via the Founder's network + deliberate search. Everything accelerates once this exists.
3 sales & business-development hires at the foundation — driving contracts and pre-orders from day one, scaled aggressively from there.
Solved by the first gap: an operator beside the Founder in investor conversations.
The India design/build/test facility + the US assembly site — funded and stood up, not hired.
Grows out of deployment experience; formalized when the first wave converts to RaaS.
Derived. Not asserted.
A bottoms-up estimate built from component research — India facility, US site, tariff stack, executive comp, pilot economics, sim infrastructure.
| Component | Low | Expected | High |
|---|---|---|---|
| PHASE 1 — R&D FOUNDATION (MONTHS 0–9/12) · ROBOTS AREN'T SOFTWARE — DEV TAKES REAL TIME | |||
| CEO cash (9–12 mo) | $120k | $150k | $180k |
| Sales & business development — 3 (9–12 mo)> at the foundation: driving contracts & pre-orders from day one | $180k | $270k | $380k |
| Core SF engineering (2 senior + intern cohort, 9–12 mo)> two senior builders; intern cohort included | $220k | $250k | $300k |
| India starter team + workspace (scaled down)> in Phase 1 from day one — robot R&D can't wait for Phase 2 | $70k | $115k | $180k |
| Robot R&D prototypes (2–3, BOM + tariffs) | $70k | $110k | $180k |
| Shipping & misc (freight, crating, spares, tools)> everything robot development needs — deployments don't happen out of the blue | $25k | $45k | $80k |
| 3–4 provider-funded pilots | $60k | $100k | $150k |
| Sim platform (dev share + infra)> carried by cloud-provider credits & partnerships | $8k | $18k | $35k |
| Legal / entity setup> $0 — entity already established | — | — | — |
| Phase 1 subtotal | $0.75M | $1.06M | $1.49M |
| PHASE 2 — THE MACHINE (MONTHS ~12–24) | |||
| India facility scale-up (one-time: fit-out, lab) | $40k | $70k | $160k |
| India full 12-mo run (rent + 6 eng + interns + ops) | $135k | $205k | $330k |
| Annotation & data collection> partner-run, not in-house hires — separate partnership cost | $25k | $45k | $75k |
| SF assembly site: setup + 12-mo lease + 2 techs | $230k | $290k | $400k |
| ~10 deployment robots (BOM + tariffs + freight) | $300k | $420k | $600k |
| US team growth (+3–5 eng, +sales, months 12–24) | $800k | $1.05M | $1.4M |
| Core team continuation (months 12–24)> the Phase 1 team keeps running while the machine scales | $520k | $670k | $860k |
| Field service & deployment engineering> lean forward-deployed engineers — 1 FDE + 1 field tech covers the first 10–20 robots | $200k | $300k | $430k |
| Site integration — 4–6 revenue sites @ $15–30k> mapping, elevators, doors, workflow config (Diligent/Aethon norm) | $60k | $120k | $180k |
| Fleet sustainment: spares inventory + maintenance> 10–15%/yr of fleet hardware value | $60k | $110k | $170k |
| Insurance & healthcare compliance> GL/PL, per-robot policies, vendor credentialing — get quotes | $50k | $90k | $160k |
| 24/7 remote monitoring / teleassist (India, 3–5 FTE) | $40k | $80k | $140k |
| Sim scale + internal Isaac + cloud> under GPU credits from cloud/NVIDIA partnerships | $10k | $25k | $50k |
| Ops & G&A (residual) | $70k | $100k | $150k |
| Phase 2 subtotal | $2.54M | $3.58M | $5.11M |
| MARGIN + FLEET CAPITAL | |||
| Total spend (24 mo) | $3.3M | $4.6M | $6.6M |
| Contingency margin (+25% expected) | — | +$1.16M | +$0.9M |
| Equity raise target | $6M – $7.5M | ||
| Fleet hardware at LOI conversion (150–300 units ≈ $5.6–18M)> NOT equity — pre-arranged $4–8M equipment-debt facility, drawn only on signed conversion orders; Series A (~$25M median) triggers at months 18–24 for the 50→300 ramp | $4–8M debt facility + Series A trigger | ||
SF payroll
~40–50% of total spend, repriced at a Bay Area premium (~10–15% over national). Seed-stage CEO cash averages $147k; the 3 foundation sales/BD hires run $100–150k OTE each. Engineering stays lean: 2 seniors + interns.
Hardware under two shocks
NVIDIA raised Jetson prices 33–101% in July 2026; China parts carry a ~25–40% tariff stack. Our split: only actuators & mechanicals cross the border — NDAA-compliant sensors and GPUs bought in the US, with CBP rulings locking the origin math.
The India entity
Cheap per unit — mid engineers ₹12–25 LPA, annotation <$1/hr, 4,000 sq ft lab ≈ $39k/yr — but a real second entity: ~$220–350k/yr + setup.
Equity funds the team. Debt funds the robots.
The comparables are brutal: Diligent Robotics burned ~$100M to reach ~100 hospital robots and sold for $25.7M; Serve ran a negative gross margin at 2,000 robots; Rapid Robotics abandoned RaaS entirely. The winners split the capital: Chef Robotics paired $20.6M equity with a $22.5M SVB equipment facility; Formic stacked $100M+ of dedicated debt. We do the same — the $6–7.5M equity never buys fleet hardware; a pre-arranged $4–8M equipment-debt facility (2025 terms: 8–15%, dropping to ~6–9% asset-backed as contracts season) draws only on signed PureUpside conversion orders, and a Series A at months 18–24 — triggered by 10 robots live and proven unit economics — funds the 50→300-unit ramp.
// verify before investor use: post-July-2026 tariff rate · senior India salary band · sim GPU density · $25–40k robot BOM
Three phases
Each phase begins when the previous one's milestones are real — power flows forward only when earned.
Foundation
- New operating structure adopted — clear ownership of every objective
- CEO search launched
- 3 sales & BD hires onboard — contracts and pre-orders driven from day one, scaled aggressively from there
- India starter cohort onboarded — robot R&D underway from day one; hardware takes real time, deployments don't happen out of the blue
- Simulation platform launches publicly
- AI concierge front door live — Google-login intake feeding the pre-order/LOI queue
- DeepMind milestone: one robot end-to-end on the embodied-reasoning model
- First PureUpside audits signed; engagements advanced to deployment scopes
The Machine
- India design/build/test facility live with first engineering cohort
- US assembly & integration site operational
- First contract-driven robots designed, built, shipped, assembled, deployed
- Annotation team online — data flywheel turning
- Community building on the combined starting-point repos
Compounding
- Wave conversions stacking long-term RaaS revenue
- Data revenue flowing as a second stream
- Fleet operations mature — 98% completion held at scale
- Real→sim→real RL loop running across the fleet
- First dedicated R&D toward self-replication — robots assembling robots