Triple Down

Build AI powered products from scratch

We build the kind of AI software that actually makes it to production and stays there. LLM powered apps, agent systems, automation tools, internal platforms. We know what it takes to go from a working prototype to something you can put real users on without losing sleep.

What we build

• LLM powered apps (assistants, document processors, content engines)
• AI agents and multi step workflow systems
• Automation that replaces manual processes at scale
• Existing platforms reimagined with AI at the core
• Internal tools that make your team wildly more productive

Our AI stack: Claude, GPT, Gemini, and open weight models where they earn their place. Agent loops and MCP servers, retrieval and hybrid search, structured outputs, prompt caching, fine tuning and distillation, plus the evals and tracing that keep it honest. On the engineering side: .NET, React, Next.js, Astro, Python, TypeScript. We use whatever fits the problem best.

Your AI generated codebase needs senior engineers

You used AI to build fast and it got you pretty far. But now the codebase is getting harder to work with, bugs are showing up in weird places, and your team spends more time fighting the code than shipping features. We see this constantly. We come in, figure out what's actually solid and what needs to go, then fix it incrementally without blowing everything up.

Problems we see in almost every AI generated codebase

• Inconsistent architecture (every file was generated in a different chat session)
• Security holes and edge cases the AI never thought about
• Tests that exist but don't actually test anything useful
• Random dependencies, version conflicts, abandoned packages
• The same logic copy pasted and slightly different in ten places

How we approach it: We start with a full audit so everyone knows where things stand. Then we triage by risk, stabilize the worst parts first, add real test coverage and monitoring, and work from there. No big rewrites. Just steady improvement on a codebase that keeps running the whole time.

Make your existing systems smarter

Not everything needs to be built from scratch. Sometimes the smartest thing to do is plug AI into systems you already have running. We've done a lot of integration work over the years, so we know how to get AI working inside real production infrastructure without breaking what's already there.

What we plug in

• AI powered search (semantic understanding across your data)
• Document processing (extraction, classification, summarization)
• Internal AI assistants trained on your own docs and processes
• Workflow automation with AI decision making baked in
• Data pipelines that use AI to enrich, classify, and route