EEMBD
Loading…
Loading…
You describe the job to Oliver; he coordinates the work. Every run is a version of these four steps, in this order, with a record you can read, then an AI-ready surface on top.
Connecting your inventory export and mapping it onto the marketplace model. I'll pause for your review on anything I'm unsure about.
Connected to source. Sampled 45,000+ inventory records, inferred the schema, landed raw to the lake.
Mapped 6 source entities onto your canonical model. 2 rows I’m not sure about, your call before I continue.
grade_B+ → quality_tier?Waiting on the two mappings above. I'll run the full gate the moment they're approved.
Queued. Idempotent load, a re-run never duplicates.
Each stage is owned by one specialist agent and handed off to the next through a validated contract. Agents never import each other's code, the contract is the only seam.
Vera profiles the source, database, warehouse, API, files or stream, authenticates, pulls a bounded sample, infers the schema, and lands a raw copy in the lake.
No re-platforming. No change to the system you already own.
Ezra maps the raw source onto your canonical model, resolving conflicts and routing the handful of edge cases to a human for approval.
This is where most integrations fail, and where Oliver does the most work.
Eve runs the quality gate, completeness, uniqueness, referential integrity, freshness, per-rule, and decides. A blocking failure stops the run.
Fails closed. Nothing ships unverified. Ever.
Theo binds the data to the destination identity and runs an idempotent load, to a marketplace, a warehouse or an app, then verifies the result.
The destination is where the customer sees the work.
Data moves one way, landing at each stage before the next begins. Raw stays raw; harmonized is reviewable; the canonical model is the single source of truth; delivery is idempotent, so a re-run never duplicates.
On top of the four steps, Atlas publishes an AI-ready surface, MCP, retrieval and metrics, straight from your trusted data, so your own agents can query it directly.
The runtime enforces one path on every procedure: validate → gate → record lineage → meter the work. Trust and proof aren’t reports you ask for later; they’re produced as the run happens.