New startup ideas · Physical world · Robotics and physical world
startup idea
Deckhand
AI agents that operate the software running factories, warehouses and yards.
Deckhand deploys AI agents that sit on top of the systems a plant or warehouse already runs (WMS, MES, ERP, ticketing, robot fleet consoles) and do the operator work between them: reconciling inventory exceptions, reassigning tasks when a line stops, chasing a stalled robot's ticket, closing the shift report.
- AI agent as a service
- Enterprise
- $100B+ market
- Platform others build on
- Global from day one
3/5
venture judge
15
similar startups, last 2 years (71 all-time)
96%
of 4 nearest real companies still alive
yes
8 matching federal grants and programs
Direction supported by government programs and grants
Scorecard
One score that balances how trendy the idea is, the demand for it and its potential for 100x, with competition measured relative to every other idea in the catalog. Recent startup trends first, government priorities second.
56
Idea Score, 0-100 · raw 34.0 x 1.64
Crowded
competition: more crowded than 83% of ideas · headwind x0.59
+2.9
government priorities, secondary (19 matching grants)
Trend
52
Is the wave forming now? 2025-26 entrants vs 2023-24, rounds since 2025, the sector's live-batch direction, the 2026 trend analyst.
- Entrants 2025-26 vs 2023-24 (similar companies)56
- Rounds announced 2025+ in the sector25
- Sector direction (live batch)100
- 2026 trend analyst25
Demand
68
Does anyone want it? YC's current RFS, companies already paid for something similar, the operator judge, founders' yes-rate in decks, readers who would run the test.
- YC asks for it (current RFS: idea / sector)30
- Someone already pays (similar companies, recent / all-time)100
- Operator judge: real pain75
100x potential
42
Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.
- Venture judge50
- Market size axis100
- Moat axis20
- Neighbours still alive34
- Technologist judge0
Score = 100 x cbrt(Trend x Demand x 100x) x (1 - 0.5 x crowding) + government bonus (max 5), calibrated so the 95th-percentile idea scores 90 (order never changes). A geometric mean: a weak pillar cannot be papered over. Percentiles are among the 272 ideas in the catalog; the terms matched were operate, factories, warehouses, yards, deploys, sit, plant, warehouse.
The idea in full
- What
- Deckhand deploys AI agents that sit on top of the systems a plant or warehouse already runs (WMS, MES, ERP, ticketing, robot fleet consoles) and do the operator work between them: reconciling inventory exceptions, reassigning tasks when a line stops, chasing a stalled robot's ticket, closing the shift report. It is configured through connectors and no-code playbooks rather than custom code, and other teams publish their own playbooks on top. Sold as a per-agent subscription, deployed globally through systems integrators.
- Why now
- YC's Fall 2026 Request for Startups names New Operating Systems for the Physical World for this cluster, and the S26 batch is full of point solutions above the machine layer (Osseus for robotics development, Control Seat for operations monitoring, Aktoria Robotics putting a human in the loop as an API); the coordinating layer between all of that software is still a person with three screens.
- Wedge: first customer and entry point
- Third-party logistics operators with 5 to 15 sites: start with a single agent that clears inventory exceptions between WMS and ERP overnight, a task with a countable error rate.
- Path to 100x
- Physical operations coordination labor is a $100B+ global spend, and an integration-light agent priced per seat replaced can capture it without touching a single machine. If enough integrators and customers publish playbooks, the playbook library becomes the reason to buy Deckhand rather than a bare model, and a genuine platform forms; until that happens the company has no moat and says so.
- Ceiling
- Playbooks stay site-specific and never compound, leaving Deckhand a competent integration business that any ERP vendor can undercut from inside the stack.
- Closest real companies, as the generator saw them
- Control Seat monitors industrial operations and Osseus is a development platform for robotics; both give humans better views, while Deckhand takes the actions. Aktoria Robotics routes work to humans, Deckhand routes it away from them.
- Main risk
- With no moat, the incumbent WMS and MES vendors ship equivalent agents inside the systems Deckhand only integrates with.
Five judges
Each judge scores every idea in the catalog with a named rubric; the venture judge decides whether a card is shown at all (4-5 is venture-grade).
Venture investor
3/5
$100B+ coordination spend and capital-light delivery, but no moat on day one and WMS and MES incumbents ship the same agents from inside.
Bootstrapper
3/5
Software margins and real 3PL budgets, but no moat and WMS incumbents shipping the same agent makes retention the weak point.
Operator
4/5
3PL exception clearing between WMS and ERP is a countable-error task done nightly by a person with three screens, priced against that seat.
Technologist
1/5
Connectors and no-code playbooks over WMS, MES and ERP is precisely what those incumbent vendors ship from inside the stack in one release.
Risk
2/5
States no moat and lives on top of WMS, MES and ERP vendors who can ship the same agents inside the stack.
trends
2/5
Cites the Physical World RFS but is agents-on-enterprise-software, the exact thesis the brief shows crowded at 25% of S26 with no moat admitted.
Similar startups in the directory
Companies whose pitch matches most of the idea's terms (operate, factories, warehouses, yards, deploys, sit, plant, warehouse): 71 all-time, 15 from the last two years. Same matching as Idea Check.
Physical AI for Warehouses and Factories
Deployment-ready robotic labor for the supply chain industry
Robotic arms that pick and pack your orders.
Moon Hotel -> The Intergalactic Construction Company of Earth
The leading provider of Spatial Generative AI, Claryo is a turnkey way to upgrade your entire warehouse ecosystem
Arvist allows supply chain operators to remotely manage quality, throughput and safety creating efficient, streamlined warehousing operations without any additional infrastructure costs.
BitQuark develops AI systems to optimize operations in production lines, manufacturing, warehouses, and logistics.
Tuum is a cloud-native, next-generation core banking platform.
Enabling warehouses and factories to select, implement and operate the best robotic solutions.
Smart, clean and efficient urban transportation.
Dexory captures real-time insights of warehouse operations using fully autonomous robots and Artificial Intelligence.
Evaluating robots in the real world.
The generator's reference companies
Real companies the model named as closest when it wrote the card, with their fate. A check mark is a company the radar could verify in its directory.
Public money in this direction
US federal grants, SBIR/STTR awards and open opportunities from the radar's public-money feed, matched to the idea's terms; the sector totals give the context.
8
grants and programs matching the idea
284
startup-relevant grants in Robotics and physical world
$260M
awarded in the sector, tracked
3
opportunities open now in the sector
- I-Corps: Translation Potential of an Ultra-Low-Power Microrobotic Sensing Platform for Deployable Distributed Robotic Systemsawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-17
- SBIR Phase I: Wireless Sidestep Network: Harnessing Sub-terahertz to Enable New Degrees of Freedom in AI Data Center Architecturesawardhigh relevance
National Science Foundation · SBIR Phase I · $305K · posted 2026-08-18
- SBIR Phase I: Intelligent Wireless Charging and Device Management System for High-Volume Environmentsawardhigh relevance
National Science Foundation · SBIR Phase I · $305K · posted 2026-08-11
- I-Corps: Translation potential of a compact power generation system based on rotating detonation combustion integrated with a turbine generatorawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-10
- VINES: Track 1: Enabling Real-Time Agricultural Robotics with AI-Native Cellular Access Edgeawardhigh relevance
National Science Foundation · Use-Inspired NextG · $1M · posted 2026-07-30
- Collaborative Research: Learning In-Context Improvement for Robotic Systems via Training-Time Failure Simulationawardmedium relevance
National Science Foundation · FRR-Foundationl Rsrch Robotics · $360K · posted 2026-08-11
- Collaborative Research: Learning In-Context Improvement for Robotic Systems via Training-Time Failure Simulationawardmedium relevance
National Science Foundation · FRR-Foundationl Rsrch Robotics · $320K · posted 2026-08-11
- CPS-FR: Toward Cyber-Physical-Cognitive Collaborative Systems for Epistemic Human-Robot Teamingawardmedium relevance
National Science Foundation · CPS-Cyber-Physical Systems · $839K · posted 2026-08-10
Market signal
What the radar sees in Robotics and physical world: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.
Robotics and physical world · 77 → 60 → 202 → 133 → 120 new companies 2022 → 2026 · 91% aliveYC S26: 32 in this cluster, 13% of the batch (was 6% in X26) (F26 is still forming: 21 listed)Since February, of 253 YC companies here: 2 acquired, 3 shut down, 33 rewrote their pitch
Design attributes
The card is one cell of a designed set: every axis below was chosen before the text was written, and the text had to realize it.
- Buyer
- Enterprise
- Business model
- AI agent as a service
- Path to 100x
- Platform others build on
- Market size
- $100B+ market
- Capital intensity
- Capital-light (software margins)
- Speed to revenue
- Revenue in 1-3 years
- Technical depth
- Integrations, no-code
- Go-to-market
- Partners and channels
- Moat
- No moat yet
- Geography
- Global from day one
- Regulation
- Unregulated
- Vibe
- Hot space
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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Fictional company written 2026-08-22 from MarkosWeb data; the companies, grants and numbers around it are real and tracked. Treat the idea as a research prompt, not a plan.