Whether you need a research partner, a production optimization team, or an embedded AI leader, we shape the engagement to your bottleneck.
We develop new AI solutions and features.
We take ambiguous, open-ended problems and turn them into working systems. Our team has shipped production prototypes in weeks across vision-language, agentic systems, generative video, and numerical/time-series modeling — backed by 20+ peer-reviewed publications and an NSF SBIR grant. We also work directly with AI silicon teams: reviewing software stacks, bringing models up on new accelerators, and designing HPC algorithms for architectures whose toolchains are still moving.
We optimize for performance, quality, and cost — and integrate new features cleanly.
Once it works, it has to run. We make AI/ML pipelines faster, cheaper, and more reliable; we re-architect cloud + codebase for maintainability; and we cleanly integrate newly designed features into your existing production stack so nothing breaks.
Senior AI leadership without a full-time hire.
We embed with your team as a fractional technical leader for the AI initiatives that matter most: defining roadmap, raising hiring quality, building eval frameworks, and reporting to your board. Useful when you need depth on demand and accountability between board meetings.
You don't have to decide up front how far this goes. Every long engagement we've had started as one scoped piece of work, and grew because the last stage earned the next one.
We start small and scoped. A review of what you have, a plan we both believe in, and a working proof of concept that shows the approach holds on your actual problem. You get something real before you commit to anything larger.
The prototype becomes production, one piece at a time. We deploy gradually alongside what already works, so nothing breaks while your stack changes underneath you. Most of the value shows up in this stage, and so does most of the work.
For the engagements that go furthest, we take ownership: leading the AI team, setting technical direction, and training your engineers to run what we built together. The goal is a team that outlasts the engagement.
Conducted a deep review of the software stack at Tenstorrent — a unicorn AI hardware company building next-generation AI/HPC accelerators — mapped the landscape of potential applications across their platform, and ran focused R&D to design and prototype new HPC algorithms tailored to it.
“Thank you for your professional deliverables.”
What started as one scoped cloud backend project became a long-term partnership: we ended up leading their AI team, training their engineers, and shipping dozens of AI/ML features, pipelines, and API backends that supported major business deals. The first phase set that up — proposed, designed, and delivered within weeks, reaching up to 10× better performance on the pipelines we rebuilt, alongside better scalability, quality, and maintainability.
“Their team's dedication, innovation, and seamless integration of cloud and AI solutions propelled us to new levels of quality, performance, and efficiency.”
Helped EXTROPOLIS develop AI-based image and video generation pipelines based on Stable Diffusion, ControlNet, and LoRA fine-tuning — used in their consumer-facing application.
“Their expertise in Stable Diffusion was invaluable and allowed us to create a truly cutting-edge system.”
Start with one scoped piece of work. We'd love to hear about your problem and tell you honestly whether we're the right fit — and where this could go if it works.
