Veecle

Veecle brings the physical world to AI agents. As trillions of machines (sensors, robots, drones, vehicles) come online, each runs firmware, and firmware is the one place agents still cannot close their write, run, observe, and fix loop, because an agent can write firmware but cannot run it on a real chip, see what the chip did, or fix what it cannot observe. Through Veecle's MCP and single API, agents build, run, and test firmware on a virtual instance of the real target chip, with no hardware, flashing, or waiting, so the chip becomes a programmable resource that agents can call, evaluate, and learn from. Around this sits an open browser-based platform: Veecle OS is open source and fully portable with no proprietary dependencies and abstracts away hardware, operating systems, and communication protocols so developers write application logic once. An AI provisions a workspace from a natural-language project description, recommends tools from a catalog of simulators and toolchains, and a Copilot that understands the full architecture (controllers, networks, telemetry, and data flows) generates verifiable components, defines optimization goals, and validates code against real physics using high-fidelity simulators like BeamNG, CARLA, and Isaac Sim, streaming live telemetry from every sensor, ECU, and actuator and flagging anomalies before any hardware exists. Safety constraints and structural rules are enforced to prevent hallucinations and keep every generated component within specification, and the whole flow, from code generation to simulation to deployment, runs across one integrated CI/CD pipeline.