Meet The Team
Building the future of enterprise knowledge management
Enterprise Knowledge Platform
Pravodha captures and turns it into searchable institutional memory before it's gone.
Join forward-thinking companies transforming their knowledge management
When a senior engineer leaves, their context on hundreds of decisions leaves with them. New hires spend 200+ hours reconstructing what the team already knew.
The same questions get asked over and over. The people who know the most get interrupted most, lose deep work time, and eventually stop responding.
Wikis go stale the week they're published. Nobody has time to maintain them. The knowledge that matters most stays in Slack — and disappears within weeks.
How It Works
Your experts are already sharing valuable knowledge every day. Pravodha preserves it at the moment it's created — without asking anything extra from the people who know the most.
An expert explains a decision, walks through a process, or answers a question that will come up again. This happens dozens of times a day already.
Zero expert burdenA teammate saves the exchange directly from the conversation, without leaving Slack or interrupting the flow. The knowledge is tagged by topic and attributed to its source.
Works inside SlackThe next person who asks the same question finds the answer in a search — along with who the expert is, peer-validated by colleagues who found it useful.
Peer-validated expertiseOutcomes
Pravodha is designed for companies between 50 and 500 people — complex enough to have a real knowledge problem, too lean to staff a solution to it.
When institutional knowledge is searchable, the ping that would have disrupted a senior engineer's deep work never gets sent. Answers exist before questions are asked.
Expertise surfaces through demonstrated contribution, not job titles or self-reported profiles. Teams find the person who actually knows, not the person who happens to be online.
When knowledge is captured continuously rather than at offboarding, what people knew stays accessible long after they've left. The institutional record outlasts any individual.
Knowledge created in one team's channels becomes searchable by every other team. Engineering context reaches product. Customer patterns reach roadmap decisions.
Instead of scheduling one-on-ones to reconstruct existing knowledge, new hires find it in a search. Onboarding accelerates as the knowledge base compounds over time.
Contributors build a visible record of their expertise that colleagues recognize and validate. Sharing knowledge becomes a professional asset — not just an obligation.
Who It's For
Pravodha addresses knowledge loss at the team level — starting with the managers and leads who spend the most time routing questions and watching answers disappear.
"My senior engineers spend half their day answering the same questions. The wiki is outdated. Nobody has time to fix it."
Knowledge from Slack is captured without adding to already-full plates. New engineers find answers without interrupting senior engineers.
"Every time someone leaves, we lose the undocumented context that made our processes actually work. Not just the steps — the why."
Process context is captured in real conversations, not reconstructed from memory. Institutional knowledge survives turnover.
"Onboarding takes three months because new hires can't find anything. They interrupt the team constantly for information that should be findable."
New hires find answers through search rather than interruption. Onboarding time drops as the knowledge base grows.
"I can never find the reasoning behind past decisions. Every roadmap conversation relitigates things that were already decided six months ago."
Decision context is searchable. The reasoning behind prior product choices is preserved and attributed to the people who made them.
Join forward-thinking companies that treat knowledge as an asset—not an accident.
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