Platform
Five capabilities. One engineering team.
Everything below is something we have built before and can stand up in your environment — not a slide about what might be possible.
Agentic systems
Most AI projects stall because nobody decided what the agent is allowed to do. We start with the routing model: what the AI handles on its own, what it drafts for a person to approve, and what never leaves human hands.
Then we build it — tools, guardrails, evaluation, and logging — so you can see what the agent did and why.
What you get
- A routing model your team agrees on
- Agent tools wired to your systems
- Approval and escalation paths
- Run logs and evaluation you can audit
LLM applications
We build model-backed features into products: assistants, drafting tools, classification, extraction, and summarization. We design for the failure modes first — wrong answers, slow answers, empty answers — because that is what decides whether people keep using it.
Model choice stays flexible. We build against an interface, not a vendor.
What you get
- Working features in your product
- Prompt and context architecture
- Fallback and error states
- Cost and token controls
Retrieval and RAG
Your best answers are already written down somewhere. We build retrieval over your documents, policies, tickets, and product data so answers come back grounded and cited, not invented.
We handle the unglamorous parts: chunking, metadata, freshness, access control, and evaluation against real questions from your team.
What you get
- An indexed, permission-aware knowledge base
- Cited answers
- A question set to measure quality
- A refresh pipeline
Apps and sites
We build and ship production applications: React and Next.js front ends, Supabase or Postgres data, authentication, payments, and deployment. AI-assisted where it speeds us up, reviewed by people before it ships.
What you get: a working product; source code you own; documentation; a deployment you control.
What you get
- A working product
- Source code you own
- Documentation
- A deployment you control
AI readiness for teams
Before building anything, many teams need to know where AI actually fits. We audit the workflow, map tasks to the three tiers, and train the team on the tools they will use.
What you get: a workflow audit; a tiered routing playbook; tool recommendations; hands-on training sessions.
What you get
- A workflow audit
- A tiered routing playbook
- Tool recommendations
- Hands-on training sessions