Semantic correctness is fragile
A query can execute correctly but still miss business meaning. Grain, time policy, identity stitching, and exclusions must be explicit and versioned.
Transform data production with an agent-native data platform.
Pact is the definitive agent data platform. Define metrics and constraints as contracts, and let the platform operate the full production chain across engines—backed by lineage, run history, and guardrails.
Note: We are working on launching the product as soon as possible. Thank you for your patience.
The Problem
AI accelerated analysis, not data production reality.
The bottleneck is not query generation. The hard part is continuously producing correct metrics as semantics evolve, dependencies drift, and operational constraints tighten.
Operational reliability is still hard
Schedules, retries, backfills, rollbacks, lineage, and cost boundaries require real platform control loops, not prompt-only workflows.
Solution
Contracts in, deterministic production out.
Pact turns human intent into a governed system: users define meaning and constraints, then the platform compiles and operates pipelines with traceability.
Metric Contract
Define business meaning with grain, time semantics, filters, and join policy.
Production Intent
Declare sources, cadence, dependencies, and incremental/backfill strategies.
Constraints & Gates
Set freshness, cost, governance, and quality targets that production must satisfy.
How It Works
A closed-loop operating model for trustworthy metrics.
- 1Declare metric contracts and constraints
- 2Compile deterministic plans and workflows
- 3Execute ingestion and transformations
- 4Observe history, lineage, costs, and runtime
- 5Reconcile drift with safe, auditable actions
From Our Blog
Introducing Pact
Introducing Pact AI made data work faster — but it didn’t change what data production is If you’ve built or operated real data systems, the AI era has already delivered genuine convenience: You can draft SQL and document...