Blog

Our simulation sandbox that's been powering enterprise AI agents for a year is now fully self-serve.

We built SantaBench, a fun benchmark with a serious methodology. The task: play a cheeky Santa who researches users online and roasts them based on their social media presence. Adding a little sneer to your holiday cheer.

Turn production failures into improvements. See how Veris AI uses simulation, targeted evaluation, and automated prompt optimization to help agents self-improve without regressions.

See how reinforcement fine-tuning transforms small models into high-accuracy Sigma rule generators—delivering enterprise-grade detection at lower cost and latency.

Deep dive into how Veris AI uses reinforcement fine-tuning and simulation to train small models to generate accurate Sigma detection rules for enterprise security.

Agents live in messy systems with unpredictable users, interconnected tools, and cascading consequences. Unlike traditional software where inputs and outputs are fully controlled, an agent’s flexible I/O and its reasoning capability are both its superpower and its failure mode.

We're thrilled to share that Veris AI is launching with $8.5M in seed funding from an oversubscribed round led by Decibel Ventures and Acrew Capital.