You focus on what you want to build.We focus on getting the data to you.
Phiuto turns a data objective into verified data. You define the goal; our agents find, acquire and verify the data — and return it structured, with provenance. For humans, companies and AI agents.
The world's data exists.Getting to it is the problem.
Companies need external data every day — and it is scattered across APIs, portals, registries, filings and providers. Getting anything useful means finding it, accessing it, extracting it, combining it and verifying it.
Today that means manual research, custom integrations, scraping, pipelines, multiple subscriptions and recurring engineering work.
Companies spend valuable resources getting data — instead of creating value on top of it.
Tell Phiuto the goal.Its agents work out how to get the data.
A goal-driven multi-agent system for data acquisition.
of analyst work — finding sources, subscriptions, integrations, cleaning, verification
Agents exploring the data territory. Right now.
Every source we touch becomes a node in a graph our agents traverse in parallel — hits turn red, dead ends get mapped so no agent wastes time there twice.
Every run leaves the map smarter. That map is the moat.
See how the system works →One goal in. A dataset out.
What the €0 demo run above hands back: hundreds of entities gathered over free public routes, resolved, verified and shaped for corporate use — the same result in a table for people, JSON for your pipelines, and a structured response for AI agents.
{
"goal_id": "g_2481",
"status": "delivered", // stops on criteria, not on steps
"coverage": 0.89,
"spend_eur": 0,
"entities": 500,
"record": {
"name": "Nordpump Industri AB",
"org_nr": "556610-2314",
"iso_9001": { "value": true, "confidence": 0.97,
"evidence": ["cert-register/2026-04", "site/quality"] },
"revenue_eur": { "value": 24600000, "source": "filing/2025-AR",
"retrieved": "2026-08-09T14:02Z" }
},
"gaps": [ { "field": "iso_9001", "count": 7, "close_cost_eur": 120 } ]
}agent → phiuto.acquire({ goal: "find 500 qualifying manufacturers…", budget_eur: 0 }) phiuto ← { entities: 500, coverage: 0.89, verified_fields: 3214, schema: "supplier.v1", // stable contract per goal type provenance: "per-field", gaps: [ { field: "iso_9001", count: 7, close_cost_eur: 120 } ] } ready for context ingestion — the agent never needs to know which registry, API or website.
Sample output — illustrative records, real structure. Every cell traces to a source, a retrieval time and a transformation history.
Gathered on free routes. Delivered corporate-ready — one contract for humans, pipelines and AI agents.
What could you build if the data were accessible?
We are onboarding a small number of design partners in procurement — supplier discovery and qualification, Sweden first.