Plurai

Plurai Simulation is the #1 Product of the Day on Product Hunt 🏆

Thousands of builders showed up, not just to test their agents, but to break them on purpose, before their users do.

Because agents don't fail in the demo. They fail on the 10,000th conversation, in the case nobody thought to test.

That's why we built Plurai Simulation the Waymo way: simulate real-world scenarios at scale, find where your agent breaks, and fix it before production.

Until recently, this was available only to a handful of enterprise teams. Now every engineer can run it on their own agent, right from their coding agent.

Thank you to everyone who upvoted, tried it, shared it and pushed us with feedback. This is just the beginning!

Try it for free: simulation.plurai.ai/connect

What a launch!

Yesterday, we opened Plurai Simulation to every AI engineer. Within hours, thousands of builders were already simulating their own agents, uncovering edge cases, and fixing failures before they ever reached real customers.

The feedback has been incredible. Builders discovering and fixing in minutes what manual testing would have missed entirely.

And we wrapped up the day at the @nebiusai x @nvidia event, sharing how our partnership is pushing the boundaries of what AI agents can do.

A huge thank you to everyone who tried Plurai, pushed it to its limits, and shared feedback. And to our incredible team and partners for making this possible. ❤️

Self-driving cars earned our trust one simulated mile at a time. Now it's time for AI agents.

Start simulating for free: simulation.plurai.ai/connect

Today we're launching Plurai Simulation, the self-improvement layer for AI agents, free for every AI engineer, and announcing our $13M seed round led by Team8, with U&I, Velocity, and a group of industry leaders.

AI agents deliver incredible demos. But the moment they meet real customers, they enter the long tail: unexpected requests and rare situations no one planned for. Testing more won't catch it. What works is finding the edge cases that matter and learning from them before a single customer runs into one.

So we built Plurai Simulation. It recreates an agent's world with realistic users, tools, and workflows, discovers failures, understands why they happen, and turns them into fixes and training data for specialized models that make agents more accurate, faster, and dramatically cheaper to run. New production failures feed back into simulation, creating a continuous cycle of self-improvement.

Simulation is how Waymo earned trust on the road. Now it's becoming the standard for AI agents.

Our design partners are already seeing it: development cycles cut from months to hours, 82% fewer failures reaching real users, and 97% lower costs.

Starting today, it's free directly from Claude Code, Codex, and GitHub Copilot, with Cursor coming soon.

Start free: simulation.plurai.ai/connect

Small open models can match frontier models on complex policy checks: 9–47x cheaper and way more consistent.

Our new method, SCOPE, turns a plain-language policy into yes/no questions a cheap model can answer.

Paper + open benchmark here -
plurai.ai/papers/scope-c…

Excited to announce our collaboration with @nvidia and @nebiusai at NVIDIA #gtcberlin!

We post-trained NVIDIA’s Nemotron 3.5 Lightning into a specialized model that outperforms Claude Haiku 5.5 at 44× lower cost and matches OpenAI’s GPT-6 Luna at 40× lower cost.

With Plurai, any engineer can go from a task description and a few production examples to a post-trained, benchmarked, production-ready model in under 20 minutes.

Works on any open-source model.

Full research: plurai.ai/blog/vibe-post…