AI & ML Solutions
Classification, search and assistants added to real products, measured against real data.
AI features embedded in real products — not demos. LLM integrations, fine-tuning, classification pipelines, and the ML Ops to keep them honest in production. We shipped shot-by-shot video classification for grassroots cricket before it was fashionable.
PythonLangchainFine-tuningML OpsDeep Learning
TYPICAL TIMELINE · 4–8 WEEK PILOT/01 · SOUNDS FAMILIAR?
When this is the fix
/01You know AI belongs in your product — just not what it should do yet.
/02The demo impressed everyone; production is another story.
/03Your data could answer questions nobody has time to ask.
/02 · WHAT'S INCLUDED
What we do
01LLM features in your productSearch, summarisation, drafting, extraction — embedded where users already work.
02RAG & knowledge systemsYour documents, answerable — retrieval grounded in your own data.
03Classification & visionTagging and video/image analysis pipelines — like shot-by-shot classification in AthMech.
04Chat & support automationAssistants that resolve the routine questions and hand off the rest.
05Document processingInvoices, forms, and PDFs parsed into structured data.
06ML Ops & evaluationEval sets and monitoring that keep AI features honest in production.
/03 · PROOF
ALL CLIENT WORK →Shipped with this
/04 · EVERY ENGAGEMENT
HOW WE WORK →What you get
/01The repositoryClean, documented code — yours from day one, full commit history included.
/02CI/CD pipelineAutomated build, test, and deploy. Shipping doesn't depend on us.
/03DocumentationArchitecture notes, runbooks, and onboarding docs for whoever comes next.
/04Handover & supportA working session with your team — then we stay reachable after launch.