Solutions / Enterprise AI Teams
Applied AI & platform teams
Turn a promising prototype into a system your business can trust.
Enterprise AI fails in the gap between a demo and production: domain edge cases, policy compliance, and reliability under real workflows. Teams need data and evaluations grounded in their own domain, policies, and failure modes — without exposing sensitive data.
AI use cases
Where it applies.
- Domain-specific fine-tuning
- Workflow and tool-use agents
- Policy-grounded evaluation
- Retrieval and grounding QA
- Production risk assessment
- Human preference evaluation
Data requirements
What it takes.
- Domain expert labeling
- Policy-aligned rubrics
- Custom evaluation suites
- PII de-identification
- Failure mode taxonomies
- Continuous quality monitoring
Relevant data products
Products that map to this work.
Workflow
How the program runs.
- 01Use-case Scoping
- 02Taxonomy Design
- 03Pilot Batch
- 04Calibrated Production
- 05Evaluation
- 06Continuous Iteration
Continuous loop — outputs feed back into the data engine.
Quality & compliance
Built for regulated, high-stakes work.
Every engagement runs on our quality system and enterprise-grade security workflows — the controls an auditor would expect.
- Enterprise-grade security workflows
- Role-based access control
- PII handling and retention policy
- GDPR-ready data processing