Build beyond the prompt
A good prompt is the beginning of any successful AI solution. However, the journey from prototype to production is where the real engineering begins.
Join us as we unlock a new solution space by combining LLM powered stochastic functions with traditional software engineering techniques.
Let's build together!
AI Engineering Expertise
We build state of the art AI systems for your business using the latest tools and techniques.
RAG (Retrieval Augmented Generation)
Ground AI in your data with advanced custom retrieval techniques instead of one size fits all.
Context Extraction
Read between the lines of your user's input to understand their intent.
Function Calling/Tools
Reliable, structured output from models is critical in production use cases.
Long Inference
Sometimes called flow engineering. Break problems down into smaller chunks to solve harder problems and improve quality.
Evals and Benchmarks
Use custom tailored Evals and Benchmarks to ensure AI systems are meeting your needs.
Deterministic code
Retries, fallbacks, and other deterministic code patterns ensure your AI systems are reliable and predictable.
Real World Results
Hear firsthand how we make a difference.
“Matt is an unstoppable force. Any team fortunate enough to have him will undoubtedly thrive. His ability to deliver thoughtful and pragmatic solutions is matched by his unwavering consistency and calm demeanor under pressure. Whether he’s diving deep into ML research or tackling production bugs at 1 a.m., working with Matt has been one of the highlights of my career.”
“Pair Programming with Matt is casual, comfortable, moves at my speed and is as technical as I want. Each session I learn things that can only be picked up from time spent around a veteran of the industry.”
“Worked with Matt on multiple Gen AI projects, and, in short, he made it easy. I was new to the space, and Matt's coaching helped me be productive quickly and ramp up to more advanced dev faster than I expected. His approach is grounded in solid dev principles (agile, test-driven dev), and he is well versed on current Gen AI state of the art and stays up to update on the constant flood of news. In our projects, he helped define a plan upfront, provided as much or as little direction as needed, and maybe most importantly helped quickly remove blockers as they came up. In all this, he also put a premium on teaching me how to fish and is a big believer in using Gen AI to support that (e.g., Cursor, Warp, Obsidian).”
