Labs
A parameter, model, or method changes during a run, and the reasoning disappears with the session. Tacite keeps the evidence, the why, and the open questions.
About Tacite
Tacite keeps the fixes your experts approve and warns the next person or AI agent before a known mistake repeats.
Founding story
We were building a startup, moving fast, talking constantly, and still losing alignment.
Decisions lived across chats, meetings, docs, and people’s heads. A decision made on Monday could already be obsolete by Thursday, but the old assumption would keep propagating through the team.
We tried documenting more. It did not solve the problem.
The problem was not that knowledge was missing. It was that much of what actually drove the team was tacit: why a decision was made, which assumptions supported it, what evidence had changed, and what everyone currently believed.
That led us to a different question:
What if a team’s shared context could maintain itself?
Not another knowledge base. Not another meeting recorder. A system that understands what the team currently believes, why it believes it, and when that belief should be reconsidered.
That idea gave us the name.
TacitTacite
Tacit knowledge is the invisible context that shapes how teams make decisions. Tacite turns that hidden context into a living system that can be tracked, updated, and brought back into the work when reality changes.
We started building Tacite because teams do not just need better memory.
They need a memory that knows when to change its mind.
Tacite turns scattered work from Slack, calls, docs, code, and AI chats into clear decision records that capture the rationale, owner, evidence, and open questions.
Capture is automatic. Commitment is not. Nothing becomes official memory until a human owner approves it.
Activity is read on your machine and never leaves it. Only tasks and projects sync to the cloud, and only when you choose.
Who it is for
A parameter, model, or method changes during a run, and the reasoning disappears with the session. Tacite keeps the evidence, the why, and the open questions.
Client context should stay with the project, not the last person who held it. Tacite keeps requirements, decisions, and handoffs attached to the work.
Direction changes in Slack, calls, and code. Tacite records what changed, why, and who owns it before the week overwrites the memory.
Scientific perspective
That means learning from people who spend their careers separating evidence from assumption.

Scientific advisor
A professor with appointments in Astronomy and Electrical and Computer Engineering at Boston University, Chuanfei applies AI, including physics-informed machine learning, to problems in space science and computational physics. Drawing on his experience leading interdisciplinary research and evaluating complex scientific evidence, he advises Tacite on reasoning under uncertainty and keeping human judgment central.
Cofounders

CFO
Senior product manager and strategist, previously at IBM, Accenture, and Deloitte. Designed chatbots for Verizon, Comcast, and the State of Tennessee that reached more than 500,000 people.

Cofounder
Physics PhD candidate at UT Austin, working on fusion and laser-plasma research. Co-author of a 2024 paper in Nature Communications.


COO
Leads marketing, customer conversations, and how Tacite reaches the teams that need it.