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The context layer for autonomous systems The context layer for autonomous systems
We turn messy urban data into a curated, scalable context layer for AI agents, autonomous systems, and the operators moving through cities today.
Built for everyone that plays in our cities
Ride share
Delivery
Agents
Humanoids
City
State
Federal agencies
People
Priors for machines moving through cities.
See around corners
Give fleets and agents ahead-of-time context on closures, work zones, hazards, events, and incidents before sensors can observe them.
Normalize city chaos
Turn portals, permits, curb specs, emergency feeds, and transit signals into one authenticated state layer machines can trust.
Avoid late surprises
Reduce stranded robots, blocked routes, unsafe entries, and operations escalations by pushing the world state before arrival.
Precept
Bring messy city feeds
into one context layer
Start from open and standardized urban data without waiting on city-by-city integrations.
Open and standard feeds
Unify WZDx, mobility specs, curb data, permits, events, transit, and open portals into one usable source.
Coverage before permission
Source-aware normalization
Metro-by-metro expansion
CityQL
Turn raw street signals
into machine-ready state
Transform fragmented institutional data into route-aware context a planner can trust.
Route-state reasoning
Translate closures, disruptions, curb limits, and emergency activity into actionable context for each route.
Ahead-of-time alerts
Operator review loops
Provenance and confidence
Serve
Keep fleets and agents
ahead of the street
Deliver low-latency world-state through MCP for agents and streaming APIs for autonomy.
Real-time monitoring
Track changing street state across work zones, incidents, curb rules, closures, and mobility feeds.
MCP context requests
Streaming API delivery
City observability layer
World-state layer
Unlock the state of the world
with intelligence
Serve authoritative physical-world context to agents, robotaxis, delivery fleets, and city operators.
Street-state alerts
Push closures, work zones, hazards, and permitted disruptions before a machine reaches them.
Emergency awareness
Curb and right-of-way context
Agent-ready MCP and API feeds
Early access
Tell us how we can help you
Share a few details and we will follow up about pilots, data coverage, and the first cities coming online.