01 · Existing systems
Map the work as it runs today
Identify the records, applications, owners, handoffs, and constraints that already shape the workflow
A data-backed stack for consequential AI
The stack built for agents
Product, data, and engineering teams use Tempera to turn operational records, agent traces, and expert decisions into provenance-bearing data for AI systems
Data-backed by design
Keep evidence attached across the stack
Every product area is designed around inspectable data, human judgment, and provenance, with its own contract and evidence boundary
See the full product stack- 01
Source data
Verify records and claims against source artifacts while keeping the evidence and provenance attached
- 02
Agent traces
Structure runs, tool actions, outcomes, and failures into records your team can inspect and compare
- 03
Human decisions
Capture expert judgment, review reasons, and supporting evidence as reusable signal
- 04
Evaluation data
Turn representative work and reviewed failures into reusable cases and held-out evaluation sets
- 05
Durable context
Keep time-aware, inspectable context with clear boundaries around what an AI system knows
Hands-on integration
Make the data layer fit the systems you already run
Work directly with Tempera to map your sources, decisions, security boundaries, and existing tools. Start with one useful integration instead of replatforming the business.
Integration working session
Founder-led private scope02 · Data contracts
Define what evidence must stay attached
Agree on source provenance, review decisions, permissions, retention, and the boundaries between product contracts
03 · Working integration
Land one useful data path
Deliver a scoped dataset, evaluation set, or controlled input inside the tools and processes the team already uses
Your systems stay in place. Tempera adds the data and evidence layer around one real workflow.
Book an integration sessionArchitect · Founder-led private engagement
Bring one enterprise or lab workflow
Work directly with Tempera to scope the agent, data, review, and integration boundary, then build the smallest production system that can prove value on real work.