Realistic, executable worlds where agents do real work.
Ventuno builds realistic software environments from real, operated products — working applications, sanitised data, long-horizon tasks and outcome-based verifiers — for evaluating, training and improving AI agents.
Agents need somewhere to learn real work.
Together they create environments where an agent does the work — not merely answers questions about it.
FAST World
A complete free ad-supported streaming TV stack — ChannelForge originates the channels, the SSAI ad server monetizes them, and FAST World TV presents them — turned into a long-horizon RL world for coding agents.
Four channels stream live right now, with real ads inserted server-side over real SCTE-35 breaks. Toggle operator mode and the schedule, playout and telemetry underneath appear — and it’s the base for the agentic eval bench we’re building on top.
Worlds run as local Docker, in containerized eval frameworks, on hosted platforms, or inside your own infrastructure — independent of any single training stack.
Ventuno has spent more than two decades building and operating complex software systems — from testing infrastructure for Sonoa Systems, which became Apigee, to a video distribution platform serving more than 300 publishers, and later a multi-platform streaming SaaS product. We are now applying that systems experience to building realistic synthetic worlds for AI agents.
[ our journey ]Build agents that can handle the real thing.
Working with foundation-model labs, coding-agent companies, computer-use teams and post-training researchers.