Production-grade Machine Learning
We ship models to production—recommendations, NLP, forecasting, and vision—with robust pipelines, observability, and cost control.
- Guardrails
- Monitoring
- MLOps
What We Build
Pick a use-case—see real, production-ready patterns.
Personalized Recos
Ranked, session-aware suggestions with bandits.
Semantic Search
Embeddings + ANN for blazing fast retrieval.
Chat & Assist
RAG pipelines with tools, memory, and policies.
Demand Forecasting
Probabilistic forecasts with feature stores.
Visual QA
Image labeling, similarity, and content safety.
Cart Uplift
Next-best-action & A/B orchestration.
Latency vs. Cost Playground
Tweak the knobs to see typical trade-offs we deliver in production.
- P95 Latency120 ms
- Throughput350 r/s
- Est. Cost / 1k$0.012
Our Pipeline
Data & Features
Connectors, quality checks, and feature stores.
Experiment
Notebooks → tracked runs, reproducible baselines.
Serve
Real-time/Batch endpoints with autoscaling & AB.
Observe
Drift, guardrails, budgets, and SLIs/SLOs.
MLOps Toolkit
Battle-tested tools we use to ship fast and safely to production.
Engagement Models
Pick the collaboration style that fits your roadmap and velocity.
Sprint Packages
2–4 week targeted outcomes
- POC / Spike / Benchmark
- Experiment design & report
- Fixed scope & timelines
Dedicated Pod
Core team embedded with yours
- PM + DS/ML + MLE
- CI/CD & monitoring included
- Monthly roadmap & KPIs
End-to-End Delivery
From discovery to production
- Design → Build → Ship
- Security & compliance gates
- Runbooks & handover
Ready to make ML measurable?
Free 30-min consult + clear milestones & estimates.