AI Development
We design and fine‑tune models around your data and constraints—from classical ML to modern LLM/RAG systems—with safety and observability built‑in.
Trusted by teams like
Modeling & eval
Data pipelines, features, and offline/online evaluation.
RAG systems
Indexing, embeddings, retrieval strategies, and guardrails.
MLOps
Deployment, monitoring, drift alerts, and cost management.
Search & Q&A (RAG)
Document summarization
Content classification
Entity extraction
Forecasting & scoring
Personalization
How we work
Discover
Business outcomes, data landscape, feasibility.
Design
Evaluation plan, data contracts, safety policy.
Prototype
Spike models/approaches with rapid A/B eval.
Build
Pipelines, services, and observability.
Launch
Gradual rollout with guardrails.
Improve
Closed‑loop feedback and cost tuning.
Safety
PII handling, redaction, moderation, jailbreak/TOX tests.
Metrics
Quality, latency, cost, drift, and business KPIs.
Documentation
Model cards, prompts, versioning, and runbooks.
Have data and a use case in mind?
Tell us about your objective and constraints. We’ll propose an approach and timeline, then follow up with a detailed plan.
Contact us