ntevo

Integrity Evolution

Stop Being the Answer to Every Question

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.

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What Breaks as You Scale

Every company hits these thresholds. The ones that prepare, thrive. The ones that don't, struggle.

50
Employees

Informal coordination stops working. You can't just "ask around" anymore—nobody knows who knows what.

100
Employees

Communication paths explode. Your experts drown in "quick questions" that consume their entire day.

150
Employees

Dunbar's number. People can't maintain relationships with everyone—formal systems become essential.

From Bottleneck to Influence

We don't extract knowledge from your experts. We amplify what they already want to share.

Before
After
Experts drowning in "quick questions"
Knowledge accessible without interrupting anyone
New hires take 6+ months to ramp
Ramp time cut in half with captured expertise
"Ask Sarah, she knows"
Sarah's knowledge helps everyone, forever
Knowledge walks out the door
Knowledge compounds over time

How It Works

We do our homework first. Then we ask the questions that matter.

01

We Do Our Homework First

We ingest your existing docs—wikis, SOPs, Slack, meeting transcripts—and build a map of what's already known.

02

Humans Define What Matters

Your managers and experts collaboratively prioritize what knowledge is critical, important, or already covered. No AI decides what's valuable.

03

Focused Conversations, Not Interrogations

AI asks specific questions about gaps—not open-ended probing.

"The runbook says to check pressure at 15-minute intervals—under what conditions would you check more frequently?"
04

Experts Stay in Control

Nothing enters the knowledge base without expert review and approval. Their voice, their control, their narrative.

05

Knowledge That Lives

The graph connects facts across topics, detects contradictions, and stays current—so answers improve over time.

We Ask Why

The difference between documentation and actual expertise is the reasoning behind it.

What Others Capture

"Check pressure at step 3"
The SOP as written
What to do
The happy path

What We Capture

Why step 3? What does "off" look like before sensors catch it?
When do you deviate from the SOP, and why?
Why this approach over alternatives?
What edge cases have you seen?

The Technology

Most knowledge capture fails because experts hate being interrogated and wikis go stale in weeks. We built around both problems.

Experts Talk. They Don't Fill Out Forms.

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.

  • Backs off when it senses resistance
  • Matches the expert's communication style
  • Asks follow-ups a curious colleague would ask
  • Knows when to shut up and let them think

Knowledge Goes Stale. Ours Doesn't.

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.

  • Raw transcripts preserved unsummarized
  • Entities and relationships extracted automatically
  • Topics synthesized across interviews
  • Contradictions surfaced, not buried

Answers, Not Documents

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.

  • Expert interviews
  • Existing documentation
  • Meeting transcripts & Slack
  • Full provenance tracking

Built For

Founder / CEO

"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.

VP Engineering

"Senior engineers are drowning in onboarding"

Give new hires access to expertise without constant interruptions to your best people.

Head of People

"Onboarding takes forever—people aren't ramping"

Turn your best people into scalable mentors without taking them away from their work.

VP Operations

"We keep reinventing the wheel"

Document once, reuse continuously—with the expert's voice and reasoning intact.

Is This You?

The Knowledge Problem, Quantified


$47M

Annual Loss Per Large Organization

Calculated for a ~17,700-employee organization from inefficient knowledge sharing. Scales roughly proportionally: ~$8M for 3,000 employees.

Panopto Workplace Knowledge Report

42%

Of Job Expertise Exists Only in Heads

Critical knowledge that isn't written down anywhere—and walks out the door when people leave.

Panopto/YouGov Workplace Knowledge Report (2018)

6-12 mo

Time-to-Productivity for New Hires

That's how long it takes without captured expertise. Structured knowledge transfer can cut this significantly.

Harvard Business Review

Most

Subtasks Experts Skip When Explaining

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.

Hinds (1999), Curse of Expertise


The problem isn't that knowledge doesn't exist.
It's that it's trapped in the wrong places.

This Isn't "Severance"

We've heard the concerns. Here's how we address them.

Concern: "AI Interrogator"

Specific questions about documented gaps—not open-ended probing. The backlog is human-prioritized and fully visible.

Concern: Job Security

Amplification makes experts MORE valuable, not replaceable. They stop being bottlenecks and start building lasting influence.

Concern: Surveillance

The knowledge backlog is human-prioritized and transparent. Experts see exactly what's being asked and why. No hidden agenda.

Concern: Extraction

Experts see the value: they stop being the answer to every question. Their knowledge helps people even when they're not there.

Our Team

Alexander Milovidov
CEO / Co-Founder

Alexander Milovidov

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.

LinkedIn
Alexander Klimov
CTO / Co-Founder

Alexander Klimov

15+ years building data privacy and enterprise platforms as a developer and engineering manager at Airbnb and Outreach.

M.S. in Computer Science / B.S. in Applied Mathematics.

LinkedIn
Oxana Milovidova
COO / Co-Founder

Oxana Milovidova

2x founder who achieved profitability in first year at both companies. Builds community and brand presence that converts.

M.S. in International Economics and MBA from Duke Fuqua.

LinkedIn

Stop Being the Answer to Every Question

Start building something that answers for you.

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