A mid-market SaaS company, roughly $40M in ARR, wanted to move past a single chatbot feature and ship a fleet of task-completing agents across its product.
A payments company processing several million transactions a day was bleeding money to a fraud pattern its rules engine couldn't catch fast enough.
A clinical decision support company needed a model that flags early sepsis risk from vitals and lab data streaming out of hospital EHR systems.
An enterprise software vendor wanted an internal AI platform other teams could build on, instead of every product team gluing its own OpenAI calls together.
An enterprise software vendor wanted an internal AI platform other teams could build on, instead of every product team gluing its own OpenAI calls together.