Living Data Systems
What your agents see. What they trust. What they act on.
Most organizations don't have an AI problem. They have a data feed problem. We build the living data layer that makes critical information qualified, scored, and continuously delivered to both humans and agents.
What We Build
Three components of a living data system.
Living Feeds
Continuously enriched, scored signal delivered to intelligent systems.
A searchable, agent-ready knowledge layer built around your domain, portfolio, or technical market. Structured primitives that score, relate, and compound over time. Ships with MCP and REST API. Your team keeps their existing tools. We provision the intelligence underneath.
Best for: PE portfolio intelligence, VC thesis tracking, M&A target mapping, defense opportunity tracking, competitive intelligence, agent-ready domain memory.
Scored Signal
Curated intelligence matched to your decision cycle.
For teams that need sharper awareness without a full build. Scored, structured signal delivered as snapshots, briefings, and curated intelligence matched to your decision cycle.
Best for: Ongoing technical awareness across AI, defense tech, medical automation, or industrial AI.
Attested Lineage
Evidence trails for every data point.
When agents act on data, you need to know where it came from and how it was scored. We deploy lightweight accountability ledgers that preserve source provenance, scoring decisions, and data transformations over time. Append-only, reviewable by approved stakeholders, and designed to give leadership a tamper-evident record of what your systems ingested, how it was qualified, and what changed.
The mechanism: Attested Lineage turns data flow into evidence. An independent, append-only record of what your systems ingested and how it was qualified.
Public Proof
Gerolamo
A production living data system monitoring 125+ domains.
A production living data system monitoring the open-source landscape across GitHub, arXiv, and Hugging Face. Continuously enriched primitives, semantic search, GraphRAG synthesis, MCP tool server, REST API, trajectory tracking, and composition modes. The same architecture we deploy for partners.
Explore it, query it, point your AI agents at it. Then imagine the same thing built on your data.