Applied AI & Agentic Systems
We build production AI — RAG, multi-agent systems, voice agents, document intelligence — that does measurable work, not demos.
AI is the differentiator that turns CRUD systems into advanced products. It's both a standalone practice and the capability layer inside Healthcare and Commerce.
What we do
Capabilities tied to outcomes — not a technology list.
01RAG pipelines with strict grounding
02Multi-agent orchestration (LangGraph)
03Voice agents (Twilio + Whisper + LLM)
04Document intelligence (hybrid OCR + LLM)
05LLM-powered analytics at scale (10K+ entities)
06Serverless AI architecture (Supabase Edge + OpenAI)
07Token-cost engineering
08LLM evaluation & guardrails
ROI thesis
Where the work pays back.
Cost reduction
60–80% reduction in cost per processed unit; hybrid OCR-first pipelines cut token cost.
Revenue growth
Recovered work previously written off; faster cycles via AI analytics at scale.
Time saved
Hours-to-minutes on document-heavy workflows; serverless removes ops overhead.
Risk & compliance
Strict RAG grounding, human-in-the-loop gates, full audit trails — defensible against hallucination liability.
Proof
Anchor case studies from this practice.
Supporting proofs
HR Policy RAG AssistantWebScrapper AI-Agentgetzippo — OCR-first pipeline
Talk to us about applied ai & agentic systems.
You'll talk to a founder, not a sales rep. Tell us what you're building and we'll tell you how we'd ship it.