Matimo™ Workbench, Studio & Governance
AI Agent Operations Platform: Build, Deploy & Govern Agents
What it does
Matimo Workbench is an Agent Operations Platform built to build, deploy, and govern AI agents. Features include 16 reasoning engines, human-in-the-loop oversight, and multi-tenant enterprise governance. Matimo Studio offers workflow automation to easily deploy production-grade agents and other tools. Free to start.
Matimo is the Agent Operations Platform for building, deploying, and governing AI agents across any business function. 16 reasoning engines, human-in-the-loop oversight, real multi-tenant governance. Free to start.
Any team builds them, no code required. Sixteen reasoning strategies adapt to the job instead of a fixed script. Every consequential action still needs a human's sign-off, logged to one audit trail. A real Matimo Studio workflow: a CRM trigger routes into an SDR agent, a branching qualification rule splits the lead, a nurture path or a personalised outreach agent picks it up, and a Gmail send closes the loop, every step wired to a reasoning engine and a real tool. The EU AI Act's human-oversight requirements for high-risk systems are already in force. In the US, a wave of state-level bills, including California's SB-833, are pushing the same principle toward a hard requirement: a human has…from matimo.ai
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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