Verified data
Turn source-grounded evidence, expert judgment, and model disagreement into provenance-bearing data, evaluations, and reusable training signal.
Architect · Enterprise and lab systems
Production AI agents, built around your data
Architect is Tempera's hands-on engineering product for enterprises and applied AI labs. We build production-grade agents across the systems you already use, from document processing and unstructured-data workflows to labeled datasets, evaluation, and controlled action.
Architect
Private, hands-on engagement
Turn a real workflow into a production agent
Tempera works inside your existing data and application stack to design, build, evaluate, and integrate an agent for one consequential job. The engagement includes the data and evidence layer the system needs to operate beyond a demo.
Built for
Enterprise AI, data, and engineering teams, plus research labs that need a working agent system around proprietary data, domain expertise, or complex tools.
- Application
- A working agent integrated into the systems the team already operates
- Data layer
- Structured, labeled, and provenance-bearing data for the workflow
- Evaluation boundary
- Review, evaluation, and deployment criteria agreed before expansion
Real applications
Start with the work, not a platform migration
Architect begins with one high-value workflow, the data it depends on, and the people who judge whether the result is correct.
Document processing
Build agents that classify, extract, reconcile, route, and review contracts, reports, filings, research, and operational documents while keeping sources and exceptions visible.
Unstructured data and labeling
Turn documents, notes, conversations, and domain judgment into labeled, provenance-bearing datasets with reviewer traceability and quality checks.
Enterprise agent workflows
Connect agents to existing applications, APIs, browsers, and data stores, with controlled execution and human checkpoints for consequential actions.
Agent evaluation and RL environments
Create task environments, reviewed trajectories, learning signals, and held-out cases for systematic agent evaluation and reinforcement-learning workflows.
Biology and scientific workflows
Build research agents around literature, experimental records, scientific datasets, and domain-expert review while keeping provenance and uncertainty visible.
Agentic systems research
Research that feeds practical agent systems
Alongside Architect engagements, Tempera pursues applied research into the systems that let agents run longer, learn from reviewed work, retain useful context, and coordinate under explicit authority.
Research directions are labeled separately from Architect delivery and do not imply hosted availability or a production claim.
- RL environments
- Human feedback and evaluation
- Long-running agent runtimes
- Memory and context
- Authority and action receipts
- Multi-agent coordination
Architect delivery
Build across data, models, tools, and operations
Architect combines the bounded parts of the Tempera stack needed for one production workflow. Start with the job, prove each integration, and leave the enterprise or lab with a working system it can inspect.
Read about the underlying systemsControlled environments
Run agent work in bounded browser, code, and task environments where execution, inputs, and evidence stay inspectable.
Durable agent work
Coordinate long-running work with clear state, recovery, and evidence, so useful agent behavior is more than a one-off model response.
Interfaces that fit
Deliver the right surface for the job: data services, private APIs, SDKs, MCP, or local controls around the systems your team already operates.
Architect · 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.