Agents · Robotics · Research
Autonomous systems for software, machines and science
Automation that runs itself, safely, and proves every step.
orchestrator / demo
- AI Agents1,285 done
Invoice exception INV-20418
Tool call - Robotics9,311 done
Bin picking, cell 3
Place - Research313 done
Sweep curriculum-v2, 20 runs
Queue
- Actions traced
- 100%
- Policy violations
- 0
- Awaiting approval
- 0
- Every action traced
- Simulation first
- Multi-seed evidence
- Human approval gates
Three fields. One standard.
AI Agents
Agents that do the work
Workflow automation across your tools, with guardrails, approvals and an audit trail.
Robotics
Robots that learn tasks
Manipulation and humanoid policies trained in simulation, deployed on real hardware.
Research
Research that proves itself
Experiment pipelines from hypothesis to multi-seed evidence and independent review.
Watch it run
Resolve a billing exception. A multi-agent workflow across email, ERP and warehouse systems.
Trigger, running
Invoice INV-20418 flagged for amount mismatch
Retrieve, pending
Purchase order, goods receipts, vendor contract
Reason, pending
Over-billed by 4 units at $320 each
Act, pending
Draft a debit memo through the ERP tool
Policy check, pending
Spend limit, vendor and duplicate rules
Human approval, pending
Finance lead signs off on the memo
Complete, pending
Memo posted, vendor notified, trace archived
Running
- Tool calls
- 0
- Policy checks
- 0/3
- Human touches
- 0
- Run cost
- $0.006
Illustrative runs with representative data.
Where teams automate first
Finance operations (AI Agents)
Customer and IT support (AI Agents)
Warehouse picking (Robotics)
Humanoid platforms (Robotics)
Experiment loops (Research)
Model post-training (Research)
One stack under everything
- AI Agents
- Robotics
- Research
- Interfaces
- AI Agents: APIs, ERP, CRM
- Robotics: ROS 2, PLCs, sensors
- Research: Clusters, datasets
- Orchestration
- AI Agents: Multi-agent routing
- Robotics: Task and motion planning
- Research: Sweep scheduling
- Evaluation
- AI Agents: Scenario suites
- Robotics: Parallel simulation
- Research: Multi-seed statistics
- Safety
- AI Agents: Approval gates
- Robotics: Force and workspace limits
- Research: Review gates
- Observability
- AI Agents: Audit log
- Robotics: Telemetry replay
- Research: Data lineage
A loop, not a launch
- Frame: Define the task, the success metric, and the failure modes that matter.
- Prototype: Build the smallest measurable system, in simulation or on a sandboxed copy of your data.
- Evaluate: Test against held-out and adversarial cases, and report the misses too.
- Deploy: Ship with monitoring, rollback, and human oversight from the first release.
- Improve: Feed production signals back into evaluation and training without drift.