Your enterprise is one bad dataset away from a wrong decision.
A production-grade data infrastructure layer for AI: agents that continuously hunt, validate, and refresh the data that powers your models — so your analysts spend time on insight, not ingestion.
Critical data lives across dozens of APIs, PDFs, and portals — each with its own format and update cadence.
Annual or quarterly updates in markets that move daily. By the time data publishes, the decision has been made.
Numbers pulled manually with no record of source, version, or last-verified date. Impossible to reproduce.
Hours spent on collection and cleaning that should flow automatically into AI models and dashboards.
Sufi Data Factory™ acquires, validates, enriches, and continuously refreshes data across all three tiers — delivering clean, model-ready intelligence to any AI workload. Every record traceable, versioned, and auditable from source to model.
ERPs · CRM · data lakes · internal systems & operational data.
D&B · Bloomberg · industry databases · vendor & partner signals.
Google Data Commons · Census · NOAA · SEC · government & open data APIs.
A living constellation of the open and commercial providers our agents hunt, validate, and refresh. Move your cursor through it — click a category to filter.
Continuously scouts private, community, and public sources. Evaluates signal quality and proposes new datasets within governance guardrails — no human search required.
Runs null checks, range & unit validation, delta detection, trend reconciliation, and outlier flagging on every record — before data reaches any model or dashboard.
Self-healing pipelines with automated refresh loops keep every dataset current — data never silently goes stale.
Follow the data drop. Anything that fails validation is rejected before production — and every rejection is logged with its reason.
Every data point traces to a pre-vetted institutional source. SME-reviewed. No compromises on provenance.
No forecasts, opinions, or unverified content enters the system. Purely factual grounding for every model.
Agents discover and collect data autonomously — within human-defined guardrails. Coverage expands continuously.
Automated refresh loops keep every dataset current — in markets that move daily.
AI initiatives stall at PoC because data plumbing blocks deployment. Data Factory removes that blocker.
Reusable pipelines, pre-built connectors, and auto-refreshed datasets compress time-to-insight from weeks to hours.
Every record carries provenance metadata — source, version, validation status, refresh timestamp. Fully auditable.
An agentic foundation that expands coverage continuously as your AI stack grows.
Start with a one-week Discovery Workshop — we map your data sources, gaps, and AI use cases.
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