Search & Q&A
Retriever-augmented generation with vector stores, citations, and guardrails.
AI / ML
Applied AI that adds real value—integrations, data pipelines, model serving, evaluation, and safety.
Use cases
Content tooling
Summarization, rewriting, translation, structuring, and workflows with approvals.
Recommendations
Behavioral signals, embeddings, and feedback loops with evaluation.
Automation
Agents for support tasks, triage, routing, and scripted actions with audit trails.
MLOps & safety
- Data pipelines, labeling strategies, and prompt/version management
- Model serving: hosted APIs or on-prem; vector DBs (pgvector, Pinecone)
- Evaluation: golden sets, offline/online metrics, hallucination checks
- Governance: PII handling, consent, rate limits, and abuse prevention
Explore an AI pilot
We’ll frame a measurable experiment before you scale.