Arm youragents.
Tools, data, and decision-making controls for autonomous agents, with human-in-the-loop oversight where it matters.
Five layers.
One control plane.
Agent Orchestration
Full control over building and running production agents.
- Visual workflow builder
- Multi-agent swarms
- Open-source skills and connectors
- Long-running agent execution
Safety & Guardrails
Runtime enforcement at every layer of the stack.
- Human approval gates
- Automatic kill switches
- Input and output validation
Observability
Complete visibility into every agent decision path.
- Step-level execution traces
- Real-time anomaly detection
- Structured logging and metrics
- Cost and usage tracking
Data & Integrations
Plug agents into any data source, tool, or endpoint.
- Open-source connectors
- Custom integrations via MCP
- Model-agnostic provider support
- Granular access controls
Governance & Compliance
Enterprise-ready.
- Just-in-time authorization
- Runtime policy engine
- Role-based access control
- Immutable audit trails
Making agents
fully autonomous.
The data, tools, and controls that let agents take complete autonomous action within your business, at scale.
Data Connectors
Feeds from any source: databases, APIs, SaaS tools, ERPs, and more.
MCP Connectors
Native Model Context Protocol integrations.
Skills
Composable capabilities that agents can learn and execute.
Managed Memories
Persistent context and knowledge that carries across agent sessions. Policy-based access.
Action Levers
Design custom agent-to-system interfaces with our open-source Python and TypeScript SDKs. Agents produce structured outputs that feed directly into your tools and workflows.
Pre-loaded.
Ready to deploy.
Market Intelligence
Aggregates pricing data across marketplaces to surface arbitrage opportunities, competitive positioning, and demand signals in real time.
Inventory Intelligence
Full visibility into stock levels, aging, and movement. Automated reorder recommendations, multi-location balancing, and cost analysis.
Demand Forecasting
Proprietary forecasting models that combine historical data with market signals to predict demand at any granularity.