The AI that helps your experts share what they know—so they can stop being bottlenecks and start building influence.
For fast-growing companies crossing 50, 100, or 150 employees where informal knowledge transfer stops working.
Talk to Our Team calendar_monthEvery company hits these thresholds. The ones that prepare, thrive. The ones that don't, struggle.
Informal coordination stops working. You can't just "ask around" anymore—nobody knows who knows what.
Communication paths explode. Your experts drown in "quick questions" that consume their entire day.
Dunbar's number. People can't maintain relationships with everyone—formal systems become essential.
We don't extract knowledge from your experts. We amplify what they already want to share.
We do our homework first. Then we ask the questions that matter.
We ingest your existing docs—wikis, SOPs, Slack, meeting transcripts—and build a map of what's already known.
Your managers and experts collaboratively prioritize what knowledge is critical, important, or already covered. No AI decides what's valuable.
AI asks specific questions about gaps—not open-ended probing.
Nothing enters the knowledge base without expert review and approval. Their voice, their control, their narrative.
The graph connects facts across topics, detects contradictions, and stays current—so answers improve over time.
The difference between documentation and actual expertise is the reasoning behind it.
Most knowledge capture fails because experts hate being interrogated and wikis go stale in weeks. We built around both problems.
People clam up when they feel interrogated. Our AI adapts in real time across 47 configurable parameters—adjusting pause tolerance, question depth, and conversational style so the expert stays in flow, not on guard.
Static wikis rot. Temporal Knowledge Graphs track what's true, when we learned it, who said it, and flag when sources start contradicting each other.
Your new hire doesn't need a 40-page wiki. They need the answer to "why do we do it this way?" Query-time synthesis pulls from every source and shows its work.
"I'm the bottleneck—everyone asks me everything"
Build a system that answers for you, so you can focus on what only you can do.
"Senior engineers are drowning in onboarding"
Give new hires access to expertise without constant interruptions to your best people.
"Onboarding takes forever—people aren't ramping"
Turn your best people into scalable mentors without taking them away from their work.
"We keep reinventing the wheel"
Document once, reuse continuously—with the expert's voice and reasoning intact.
Calculated for a ~17,700-employee organization from inefficient knowledge sharing. Scales roughly proportionally: ~$8M for 3,000 employees.
Critical knowledge that isn't written down anywhere—and walks out the door when people leave.
That's how long it takes without captured expertise. Structured knowledge transfer can cut this significantly.
Experts unconsciously omit steps that are "obvious" to them. The curse of expertise is well-documented: the more you know, the harder it is to explain. We surface the implicit knowledge.
The problem isn't that knowledge doesn't exist.
It's that it's trapped in the wrong places.
We've heard the concerns. Here's how we address them.
Specific questions about documented gaps—not open-ended probing. The backlog is human-prioritized and fully visible.
Amplification makes experts MORE valuable, not replaceable. They stop being bottlenecks and start building lasting influence.
The knowledge backlog is human-prioritized and transparent. Experts see exactly what's being asked and why. No hidden agenda.
Experts see the value: they stop being the answer to every question. Their knowledge helps people even when they're not there.
15+ years building AI/ML, mobile, and SaaS products as a technical product manager at IBM, Samsung, and Nike.
M.S. in Computer Science / B.S. in Applied Mathematics.
Start building something that answers for you.
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