AI Eyes, Memory, and a Map
Spattio gives AI eyes, memory, and a map so your copilots work with time, place, and truth.
No GIS skills needed. LangChain helps agents think. Spattio helps them understand the real world.
Watch how Spattio connects AI agents to real-world spatial and temporal data streams, turning smart language models into context-aware systems.
LLMs are smart, but blind. They can write your email, but they can't answer questions grounded in real places and real times.
Questions like these remain out of reach for standard AI systems today:
When did shipping delays spike in Amazon's SoCal network between May 6–9, 2025?
When did air quality drop below safe levels in Denver during the third week of January 2024?
Where were EV chargers offline in Texas on Tuesday, March 12th, 2024?
Which neighborhoods in Santa Rosa were evacuated first during the wildfire on August 17th, 2023?
Where did rainfall exceed 200mm in Lagos between April 1st and June 30th, 2024?
When did port congestion in Singapore trigger rerouting from June 10–15, 2025?
As OpenAI themselves acknowledge: AI can make mistakes. Check important info. That's fine for fiction, but not for climate, logistics, infrastructure, or business ops.
Standard LLMs and AI copilots lack real-time awareness of where and when events occur. They reason from training data, not from live, located, timestamped facts. The result: confident-sounding answers that miss what actually happened.
Spattio gives AI real-time awareness of where and when things happen. Your copilots make decisions based on facts, not guesses, grounded in live environmental and geospatial data at the moment it matters.
Three core capabilities that transform how AI agents interact with the real world.
Spattio helps teams make smarter decisions by answering complex questions with live environmental and geospatial data, not stale training snapshots.
From flash floods to heatwaves, Spattio alerts you when and where conditions shift so you can act fast before impact reaches your operations.
Use Spattio with your current dashboards, agents, or automations. No rip-and-replace, just smarter results layered onto what you already have.
We're rethinking how AI interacts with the real world by adding a spatio-temporal query layer and a plugin-ready core.
Spattio adds a spatio-temporal query layer and a plugin-ready core, so your AI can connect to sensors, APIs, and live data streams in real time.
The result? Agents that don't just talk. They see, sync, and respond with context.
Real-world insights for the teams building the next generation of intelligent systems.
Transform how your team uses time and location data. Surface the insights buried in complex, real-world signals.
Build agents and apps that reason with space and time, not just tokens. Custom tools for real-world development.
Give your copilots spatial awareness and real-time memory for better decisions at the moment they matter most.
From custom copilots to automated pipelines, Spattio powers a new class of operations that are location-aware and time-grounded.
Create tailored copilots and dashboards that deliver actionable insights based on what's happening right now, in specific places.
Integrate seamlessly with existing tools to automate processes and enhance efficiency with spatial and temporal reasoning baked in.
Receive timely alerts and insights from spatial data pipelines so you make informed decisions before conditions escalate.
Track environmental conditions, utility states, and infrastructure health across geographies, updated as events unfold.
Answer where-and-when questions across shipping networks, ports, and distribution hubs with precision and speed.
A memory layer that preserves spatial context across sessions.
Spattio is in active development. We are building the spatio-temporal query layer, API integrations, and the plugin framework for agent toolchains. Seeking early partners and pilot collaborators.
Interested in partnering, integrating, or learning more about Spattio? We'd love to hear from you.