AI & Machine LearningModels that hold up in production
We take AI past the demo. Retrieval systems, forecasting, document intelligence and LLM copilots — built with evaluation harnesses, guardrails and monitoring so the thing that ships is the thing that keeps working.
What this includes
- LLM & RAG platforms with evaluation harnesses
- Forecasting, scoring and risk models
- Document & vision intelligence pipelines
- MLOps: feature stores, drift monitoring, rollback
- Responsible-AI review and audit trails
Typical outcomes
- Manual review removed
- up to 68%
- Model-to-production cycle
- 6 weeks
Technology we use
- PyTorch
- LangGraph
- Vertex AI
- Bedrock
- pgvector
- Ray
Related services
Industries we serve- 02Software EngineeringCore systems, built to be maintained
- 03Web DevelopmentFrom flagship sites to dense portals
- 04Mobile ApplicationsNative feel, one delivery team
- 05UI/UX & Design SystemsInterfaces that survive scale
- 06Full-Stack DeliveryEmbedded squads, your roadmap
- 07E-CommerceCommerce that converts under load
- 08Shopify & WordPressPlatform depth, not plugin sprawl
- 09SEO & GrowthTechnical SEO as an engineering discipline
- 10Cloud & DevOpsPlatforms your team can operate
- 11SaaS Product DevelopmentFrom single-tenant idea to billable platform
[ Start here ]
Bring us the problemthat keeps getting deferred
Tell us what you’re building. We’ll give you a straight answer on feasibility, sequencing and cost before you commit to anything.
Response within one business dayYou speak to engineers, not account managers