Infona
OPEN SOURCE · APACHE 2.0

The model is fine.
Your facts are stale.

Maintained data infrastructure for production AI agents.

Infona re-verifies every fact on a schedule and escalates what changed. Every answer carries its source and last-checked date.

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same agent · same question
What stage is Acme Corp?
WITHOUT INFONA
Acme Corp is a Series C company.
⚠ WRONG · stale · record last verified Nov 2024
WITH INFONA
Series D, closed June 2026. The Series C record was merged as a duplicate.
✓ CORRECT⛓ view source✓ verified 2026-06-30
01PROBLEM

Data breaks quietly. Agents keep answering.

The model didn't fail. The data did, and nothing in the stack noticed. Agents ship on operational data with only RAG in between: no exact aggregates, no multi-hop joins, no citation a compliance team can approve.

RAW TABLE · BEFORE INFONA2 ROWS · 1 ENTITY
COMPANYSTAGELAST_VERIFIED
Acme Corp.Series D2026-06-30
ACME CORPSeries C2024-11-02 · stale
Same company. Different names, conflicting attributes, one two years stale. Every agent answer built on this is wrong.
SILENT STALENESS
Facts go quietly wrong.
Prices, statuses and licenses change. Nothing errors. Nothing alerts.
DUPLICATES AND GAPS
The same company, three times.
One entity scattered across spreadsheets, PDFs and the web breaks every aggregate.
NOBODY OWNS IT
Your engineers are shipping product.
Maintaining external data is nobody's job until an answer is wrong in front of a customer.
HOW IT WORKS

Infona keeps the facts current long after setup

SET UP ONCE
01
Connect
Files, APIs, databases and approved web sources.
02
Reconcile
Resolve entities and propose a structure you can review.
RUNS FOREVER
03
Maintain
Re-verify on a schedule. Escalate exceptions, not queues.
04
Serve
Exact answers and records, with citations.
PROVENANCE
Every fact has a source.
Citations down to the row, page, or API call it came from.
REVIEW GATE
Every change can be reviewed.
Diffs and approvals before an update reaches your agents.
ONE RECORD
Every agent reads the same record.
One maintained store behind MCP, the skill, and the API.
OPEN SOURCE · APACHE 2.0Build and self-host free. Infona Cloud runs the maintenance loop.github →
02PRODUCT

Drop a CSV. Ask questions. That's it.

No schema design, no data modeling, no config. Infona infers entity types, attributes and relationships from raw rows — a production-ready graph in seconds.

a
Any source
A CSV, a database, an API. Raw rows in — no schema design required.
b
Review the schema
Infona infers a typed ontology. You approve before anything is written.
c
Resolve entities
Duplicates merge. One real-world thing, one node — then agents get exact answers.
PORTFOLIO.CSV312 rows→ kg/fund
COMPANYSECTORSTAGE
RampFintechSeries D
VantaSecuritySeries C
LinearDevToolsSeries B
↓  ontology inferred — no schema written
CompanyFounderInvestorRound
Companyfounded_byFounder
Companybacked_byInvestor
CompanyraisedRound
Acme Foods Inc. ← merged with ACME FOODS · one node for every agent
ENRICHMENT LOG · LIVE
kg/master
09:24:01enrich(Company)Ramp · industry → Fintech · cited
09:24:08enrich(Company)Vanta · HQ → San Francisco · series ID
09:24:15enrich(Founder)Alice Chen · LinkedIn → verified
09:24:22enrich(Investor)Sequoia · AUM → filled
09:24:29reverify(Company)18/18 attributes filled · public filings
09:24:36enrich(Round)weekly re-verification scheduled
Scheduled enrichment behind a confidence gate — every value cited.
03ENRICH

Fill missing facts. Re-verify on a schedule.

Scheduled enrichment fills missing and stale attributes from external sources behind a confidence gate. New sources pass the same review gate as day one — the schema evolves deliberately instead of rotting.

Provenance on every value
Source URL, series ID, verified-at — what compliance can approve.
Maintenance compounds
Each re-verification run accretes history a fast-follower starts at zero on.
04ASK

Exact, cited, fresh answers

Ask in plain English or over MCP. Agents traverse a reviewed, typed graph — every answer carries receipts back to source rows and enrichment runs. SPARQL is the internal execution target, never the interface.

ASK YOUR KNOWLEDGE LAYER
kg/master
What's average deal size by region?
$47,5001 hop · 12 regions
Company→filter(has_deal)→group_by(region)→avg(deal_size)

Computed over every row — not a sample, not a hallucination.

CONNECT

Point your agent at Infona

Your client's agent connects over MCP or a drop-in skill and queries the maintained records directly — same answers, same citations, whichever door it comes through. Open source core, Apache 2.0.

{
  "mcpServers": {
    "infona": {
      "command": "npx",
      "args": ["-y", "-p", "@infona-ai/mcp", "mcp"],
      "env": { "INFONA_API_KEY": "ak_...", "INFONA_TENANT": "your-workspace" }
    }
  }
}
LIVE AT INFONA.AI

Build the knowledge layer your agents depend on

Get early access to hosted enrichment and re-verification. We'll reach out when your spot is ready.

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