Everyone says they're customer obsessed. We're hirings someone whose entire job is to prove it. Our Customer Engagement Lead isn't a traditional sales role. We're looking for someone who's curious, technical, and excited to spend their days talking to AI teams, uncovering real problems, and helping shape the future of multi-agent AI systems. NYC - full time. proveai.careers.hibob.com/jo…

Multi-agent systems look clean in demos. In production? Not so much. Coordination breaks, behavior drifts, and debugging gets messy. Join us for a webinar May 7 to see what actually goes wrong and how teams are fixing it. Save your spot: luma.com/6hpkmz5z

Most AI systems don’t fail loudly. They degrade quietly. - outputs drift - quality slips - “looks right” starts being wrong By the time it’s in prod, it’s already broken. Our CTO breaks this down in a recent conversation with From the Ground Up. proveai.com/blog/why-ai-reli…

Demos are easy. Production AI is hard. Our CTO Greg Whalen explains what dev teams actually need to ship reliable GenAI: telemetry, observability, and operational guardrails. smartechdaily.com/greg-whale…

GenAI isn’t hard to prototype. It’s hard to run in prod. Our technical white paper breaks down the infrastructure layer most stacks are missing: unified telemetry + full-pipeline observability. Have a read. proveai.com/blog/technical-w…

Enterprises aren’t failing at GenAI because of bad models. They’re failing because they can’t measure, monitor, or prove performance in production. Our CTO Greg Whalen breaks down the biggest mistake teams make with generative AI. proveai.com/blog/greg-whalen…