Empowering product experts to work smarter
We are building AI that understands the complexity of industrial commerce and helps teams make faster, better decisions with their product data.
Our mission
Eliminate product data complexity
The world runs on complex products, but the teams who sell, support, and analyze them are drowning in data chaos. Sales engineers spend hours hunting through PDFs for compatibility specs. Data analysts wrestle with inconsistent catalogs. Estimators manually parse RFQs that should take minutes, not days.
Traditional software wasn't built for this complexity. Generic AI tools don't understand industrial nuance. Meanwhile, decades of tribal knowledge walk out the door with retiring experts, leaving teams scrambling.
That's why we're building Conversant. AI co-workers purpose-built for product complexity. Our agents understand technical specifications, pricing logic, and compatibility rules. They learn from your catalogs, manuals, and expert knowledge, then work alongside your team to deliver faster answers, cleaner data, and smarter decisions.
We're building the infrastructure for a new kind of productivity, where every product decision is backed by intelligence, not guesswork.
Built by experts. For experts.
Our team combines deep AI expertise with real-world experience in industrial commerce. We've felt the pain of managing complex product data firsthand, and we're building the tools we wished we had.
Product leadership at Google building products that serve billions of users. Expertise in scaling complex technical products from conception to global deployment.
Google Research leadership advancing AI systems. Published research in machine learning and deep expertise in building and scaling LLM-focused teams and productization.
Our values
Everything we build is guided by these principles that keep us focused on what matters most.
Deep expertise
We don't build generic tools. We understand the nuances of product complexity and build for them.
Speed and precision
Fast answers mean nothing if they're wrong. We optimize for both speed and accuracy in everything we build.
Human-first AI
AI should amplify human expertise, not replace it. We build tools that make experts more powerful.