AI agents that work your data and prove every answer.
Chatbots bolted onto raw tables guess — and industry evaluations put them near 20% accuracy. SpooqW agents only answer from governed, contracted data, cite the evidence behind every conclusion, and hand you the receipt. When the data can't support an answer, they say so. And agents that propose actions for human approval are running in production today — not a roadmap slide.
Grounded chat, not confident guessing
Every answer is grounded in project data that passed contracts, permissions and freshness checks — the same governed foundation your pipelines run on. No semantic free-styling over raw tables: if the evidence isn't there, the agent withholds the conclusion instead of inventing one.
A trust bar that degrades honestly
Uniform confidence is the tell of an ungoverned copilot. SpooqW shows the trust behind each answer — evidence receipts, source freshness, steward verification, deterministic versus AI interpretation — and visibly downgrades when data is stale or missing. “I don't know” is a first-class answer.
Receipts: signed, exportable, hash-chained
Every run writes a receipt — the exact model, every tool call, latency and the evidence used — onto a hash-chained ledger you can verify and export. When someone asks “why should I trust this number?”, you hand them the chain, not a shrug.
Missions that run on schedule
Turn a question into a standing mission: the agent re-runs it on your schedule, watches the governed thresholds you set, and notifies you with evidence when something moves. Every mission run is receipted like an interactive one.
Actions proposed, never executed silently — in production, today
When an agent sees an action worth taking, it stages a typed proposal under an Action Contract. A human reviews the exact payload — scope, impact, SQL — and approves, edits or rejects. Execution happens only after an authenticated decision, and the receipt links proposer, decider and outcome.
AI cost you can attribute, not guess
Most AI platforms hand you an opaque monthly bill. SpooqW meters every model and tool call per answer, per project and per tenant — so you know what a question cost, which workloads are worth it, and where to optimize. And the model itself is a choice, not a lock-in: swaps are gated by a measured accuracy benchmark, never by a vendor contract.
External agents, governed via MCP — proposals included
Your own agents and copilots connect through MCP and get the same treatment: scoped tools, permission checks and receipted activity. They can even PROPOSE governed actions — a join, an ingestion, a data product — but execution always passes through a human approval card. Governance follows the data, not the client.
An open foundation underneath
Agents are the front door; the house is an open Spark + Iceberg lakehouse with Nessie versioning and Trino SQL. Your data stays in open formats you own — in the EU cloud, your VPC or fully on-premises.