Four projects, each starting from a real problem. We show what was needed, what we built and what came out of it, so you can judge how we work before you talk to us.
Need: finding and qualifying prospects by hand is slow, inconsistent and doesn't scale.
Built: an autonomous pipeline — prospect discovery, data verification, scoring and personalised outreach drafting, orchestrated by AI agents.
Result: a repeatable lead engine our own outreach runs on — research that took days now runs overnight.
Need: one assistant that can reason over private documents and pick the right model for each task — no single LLM does everything well.
Built: a multi-model RAG platform with intelligent routing across Nemotron, Groq and Gemini, vector search on Qdrant, and an agent layer for multi-step tasks.
Result: grounded, cited answers over private knowledge — the architecture pattern we now reuse for client assistants.
Need: small teams lose candidates in spreadsheets and email threads — hiring needs one source of truth.
Built: a full applicant-tracking system — job postings, applications, candidate pipeline and team collaboration in one dashboard.
Result: a complete multi-role SaaS product, from database schema to deployed UI.
Need: agencies and sales teams run outreach from scattered sheets and inboxes — leads slip through, follow-ups get forgotten, and nobody owns the pipeline.
Built: a multi-tenant CRM and outreach automation platform — lead pipeline, campaign orchestration, AI-assisted outreach drafting, proposals and invoicing in one workspace.
Result: built and tested end-to-end — 205/205 build tasks complete, 1661 automated backend tests passing — our flagship product, now being hardened for real client campaigns.
Different industries and tools, the same habits.
Every build started with a specific, painful task. Technology came second.
We carry projects through testing and deployment, not just to a good-looking prototype.
What we learn on our own products, like routing and retrieval, goes straight into client work.
Tell us what slows your business down. On a free call we will say honestly whether AI can help, what it would take and what it would cost. If it is not a fit, you still leave with ideas.