We don't build AI to replace people. We build tools that invent new capabilities — and the industries that come with them. Rapid prototyping, R&D, and applied-AI consulting for teams that need to move first.
Productized AI consulting
The $999 MuseLabs AI Implementation Audit maps your operation, ranks the workflows where AI can create real leverage, and gives you a 30-day build plan. No generic tool list. No slide deck theater. Just the clearest first system to prototype, plus the ones to leave alone.
The audit output
Best fit: owner-led businesses with repeated intake, follow-up, documentation, support, scheduling, or CRM work that is too important to leave to generic automation.
What we do
01 · Rapid Prototyping
We compress the part most teams stretch. You ship a real prototype to real users in the time most agencies spend on a deck — and you kill the bad ideas before they cost a quarter.
POCs · interactive mocks · custom demos
02 · Research & Development
The work that doesn't fit into a sprint. New input modalities, new model architectures, new ways of orchestrating agents. We invest the curiosity hours so your roadmap stops looking like everyone else's.
Applied research · novel architectures · new capabilities
03 · Applied AI Consulting
We don't help you replace people. We help you do things you couldn't do at all before. Diagnostic engagements that map your operation, then the smallest possible build that proves the new capability before you commit to scale.
Discovery · feasibility studies · pilot builds
Selected case studies · 4 of many
POCs that turned into products. Research that turned into capabilities. A handful are live; one is in stealth.
Personalized AI coloring books, from a prompt or a photo.
Coloring books on the shelf are mass-produced and never about the kid holding them. Making a custom one — characters, story, line art that prints clean — is hours of art direction most parents won’t do.
COLOR turns a written prompt or a reference photo into a complete coloring book: it auto-generates a title, casts characters, plans each page, and renders print-ready line art. Pages flip in the browser. Export the whole book as a PDF.
Live at color.muselabs.ai. Built on Gemini and OpenAI image models with a Supabase library so books survive past one session.
An open-source DAW with a generative spine.
Music production is held hostage by closed software stacks. Generative AI is usually bolted on as a plugin, fighting the rest of the workflow.
MuseRoom Studio is a browser-native DAW with autonomous composition and arrangement agents at its core. Forked from openDAW for the audio engine; the agentic layer is ours.
Public BETA at museroom.studio with an active beta cohort.
Door-through-door companions for non-emergency medical transport.
Older adults, people with mobility challenges, and families coordinating care don’t need just a ride — they need a trained, certified person who walks the rider in and back, and a coordinator who keeps every appointment from slipping.
TrustedRiders is the service. We built the technology spine: a dispatch backend, a chat-first booking flow for caregivers and clinics, and a React Native iOS app the companions carry on every trip — rides claimed from a push, status syncing live to the dispatcher.
Live at trustedriders.org. The iOS companion app is dispatching real trips today.
Hear your scripts.
Writers re-read drafts silently and miss everything an actor would catch in thirty seconds out loud.
Copherd casts your script. Assign a distinct AI voice to every character, scrub a waveform under the lines like a DAW, and edit text with the audio re-rendering only the parts you changed.
Public deploy preview is live. Open beta is next.
More projects in development behind the scenes.
Ask for a tour.
Field notes
As agents move from demos into production work, the most important design surface is becoming the runtime that scopes what they can see, touch, and explain.
Read note
A short live post created through the production blog API to verify the publishing flow end to end.
Read note
The useful work starts when an AI system knows what it is allowed to touch, when it should stop, and how a person can take over.
Read note