Warehouses that run all night. People approve. Every step is proven.
VectraNode is the autonomy-and-trust software layer above the robots and warehouse systems operators already own. Machines do the operating work, people approve what the system proposes, and every movement leaves signed evidence that can release a vendor payment.
- Software only, hardware-agnostic
- Safety stays in certified hardware
- Non-custodial payments
Operators cannot staff every night shift, and rule-scripted software stalls on irregular goods
The physical fulfilment layer is where supply chains lose time and money. VectraNode sells one outcome: a warehouse that receives, stores, picks, ships and pays for goods around the clock, with people approving instead of performing routine work.
One software layer to perceive, plan and prove
Three technologies are joined, and each is wrapped in a control that makes it safe to sell to an enterprise.
Vision-Language-Action handling
VLA models let commercial robots recognise, unbox and sort unfamiliar goods. The VLA proposes and a deterministic Action Governor checks every action chunk within a 10 ms budget before any robot moves.
Generative orchestration
A language model reads manifests and drafts typed Intent Plans for routing and coordination. It holds no keys. A deterministic engine validates, authorises and runs every plan, and untrusted documents are read in quarantine.
Evidence and settlement
A per-tenant tamper-evident log records every movement. Only hashes and commitments are anchored, personal data stays off-ledger, and corrections are appended, never edited.
Built to survive diligence
| Concept claim | What VectraNode commits to |
|---|---|
| “Zero-human” warehouse | Approval-only operation. The system runs routine work and handles exceptions, people approve, reject or constrain its proposals, and physical maintenance and rescue stay with people under lock-out. |
| Zero-shot handling of any package | Measured success targets per object class. Low-confidence picks escalate as machine-prepared options for a person to approve, and each one feeds the learning loop. |
| Payment “the millisecond” a robot validates offload | Evidence-gated, value-tiered release with stated latency targets, an escrow option and a dispute window. |
| An “immutable ledger” of everything | Hash-anchored commitments only, with personal data off-ledger and erasable, which keeps the product compatible with GDPR and DPDP. |
| An LLM as the “cognitive engine” | The model proposes. A deterministic engine validates, authorises and executes. |
Autonomy that safety assessors, banks and CISOs can sign off
Authority flows down only through verification. Evidence flows up only through signatures. Each plane can fail, be attacked or be certified without taking the others down.
Autonomy is earned with statistical evidence, one workflow at a time
Every new workflow starts at A0. It is promoted only when a published gate is met, and demoted automatically when it is not. The lower bound is the low end of the 95% Wilson interval, so a small lucky sample cannot promote a workflow.
Demotion is automatic. A Governor rule violation drops a workflow to Act on approval at once and opens a safety incident. A rolling 7-day lower bound below threshold drops it one level. A change of model, firmware, geometry, tooling or payload sends it back through shadow mode.
Eight capability suites push the product toward a self-maintaining, verifiable future
Each capability sits behind a feature flag with a kill criterion and a tested baseline fallback. Every numeric claim has a held-out evaluation.
Approval-only operations
Every human input is a signed decision on a machine-prepared, evidence-linked proposal.
Foresight
A predictive twin previews the outcome of a plan before it runs, and cuts onboarding to weeks.
Fleet learning
A signed Skill Library and federated learning, so every site improves without sharing raw data.
Agent network
Machine-to-machine negotiation under signed mandates, with no agent holding authority over money or motion.
Proof and attested compute
Customers and counterparties check behaviour without trusting the vendor.
Autonomous engineering
One-approval commissioning, auto-calibration, self-recovery and predictive maintenance.
Optimisation and sustainability
Solver-backed plans, carbon- and tariff-aware scheduling, and green receipts.
Frontier capabilities
Touch-aware handling, a confidence cascade that cuts compute, black-box recorders, content credentials and claims automation.