Ideas, engineering notes and updates from the team building Digital Twins for the enterprise.
Every company is rolling out AI assistants, and individual productivity is up. But the bottleneck was never how fast one person works. It’s that the answer you need lives in someone else’s head, thread or drive.
Running our Digital Twin platform on both AWS and Azure was never a feasibility question. The real challenge was supporting multiple clouds without doubling our engineering overhead.
EngineeringMost teams tune prompts by hand: write, test on a few examples, rewrite, repeat. The result is an art piece rather than an optimized artifact, and it breaks when a cheaper model arrives.
FoundersCo-founder Varun Kacholia on the problem he and Ashu kept living through, company after company: knowledge disappears faster than it’s created.
Use casesWhat if your organization could preserve every lesson, insight and decision, not just from documents but from the way people actually work?
Use casesThe challenge isn’t collecting customer data, it’s understanding it in context. A Twin connects CRM, support, email, chat and feedback into one living layer of customer knowledge.
Use casesSales teams spend enormous time preparing for meetings and chasing context buried across CRM, decks and chat threads. A Digital Twin changes that entirely.
PerspectivesWork never stops across time zones and distributed teams. For managers, that means real-time access to team knowledge without interrupting anyone’s flow.
PerspectivesWhen someone leaves, they take context, decisions and experience that files alone can’t replace. A Twin keeps that expertise available after they’ve moved on.
PerspectivesImagine a version of you that remembers every meeting, email and decision, and can answer questions, write reports and prepare you for what’s next.
Admin setup, user guides, privacy controls and the API reference live in the documentation.