Glowing leadership knowledge graph

Video Leadership Knowledge Graph

Leadership wisdom, mapped — then put to the test.

V-LKG turns hours of leadership video into a searchable knowledge graph, and lets your managers rehearse hard decisions in a simulator grounded in it.

3,184
time-aligned segments
16
leadership videos
4
child apps

From raw footage to rehearsed judgment.

01

Ingest

Transcribe and read on-screen text from leadership talks, trainings and town halls.

02

Extract

AI pulls out concepts, people and relationships into a linked graph.

03

Pathway

Linear words and semantic pathways show what to learn, in order.

04

Simulate

Managers practice decisions and get feedback linked to exact video moments.

Leadership simulator

Eleven decisions. One honest read on your style.

A taste of the full simulator, which links every choice to the leadership moments in the knowledge graph.

Trust0
Results0
People0

Scenario 1 of 11

The missed launch

Your flagship release slipped by three weeks. The team is exhausted and the board meets Friday. What do you do first?

AI dilemma coach

Bring a real dilemma. Get an honest trade-off read.

Describe a leadership decision you're facing. Our AI-powered coach maps how it pulls on Trust, Results and People — and suggests one practical next step. Don't include names or confidential details.

Your dilemma and its read are saved so our team can follow up.

At least 30 characters

Built for the teams that run on knowledge.

30 use cases across 11 industries.

HealthcareP0

Clinical Documentation

Physicians, coders, revenue-cycle staff

Pain: Manual chart abstraction and coding errors; notes not queryable

Value: Automated entity extraction for medical coding, CDI and clinical decision support

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LegalP0

Contract Analysis

Legal ops, in-house counsel

Pain: Thousands of contracts reviewed by hand (M&A, procurement)

Value: Automated clause and obligation extraction; faster diligence

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FinanceP0

Investment Research

Equity/credit analysts

Pain: Reading 10-Ks and listening to calls manually

Value: Entity-level research feeds, alerts and comparable screens

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FinanceP0

Insurance Claims

Claims adjusters

Pain: Slow manual claims triage

Value: Automated claim entity extraction for triage and fraud flags

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Recruiting/HRP0

Talent Intelligence

Recruiters, TA ops

Pain: Manual resume screening and matching at scale

Value: Skill-entity extraction for search, matching and pipelining

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Cross-industryP0

Knowledge Management

KM and enterprise-search teams

Pain: Documents siloed and unsearchable across the org

Value: Enterprise entity graph powering search and discovery

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Cross-industryP0

Customer Support

Support operations

Pain: Support knowledge trapped in tickets and calls

Value: Entity-tagged knowledge base, ticket routing, deflection

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Cross-industryP0

Sales Enablement

Sales teams, sales ops

Pain: Deal insight lost in sales calls

Value: Entity-based deal intelligence and objection handling

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HealthcareP1

Pharma R&D

Clinical trial teams, medical writers

Pain: Searching trial docs and literature manually slows research

Value: Entity-level trial intelligence and pharmacovigilance signal detection

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HealthcareP1

Imaging & Diagnostics

Radiologists, imaging operations

Pain: Report text is unstructured; population-health QA is manual

Value: Structured finding extraction for QA, research and reporting

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LegalP1

E-Discovery

Paralegals, litigation support

Pain: Expensive human review of large evidence corpora

Value: Searchable entity indexes over discovery sets

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FinanceP1

KYC & AML

Compliance teams

Pain: Manual KYC review and screening

Value: Automated entity matching against sanctions/watchlists

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MediaP1

Content Indexing & Search

Media librarians, content ops

Pain: Large archives are not findable or recommendable

Value: Entity-level search, recommendation and rights management

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GovernmentP1

FOIA & Public Records

Public records officers

Pain: Manual redaction and search across records

Value: Entity-based redaction support and searchable records

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GovernmentP1

Intelligence & Investigation

Analysts

Pain: Manual cross-source correlation

Value: Cross-source entity linking for investigations

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RetailP1

Product & Supplier Data

Merchandising teams

Pain: Manual attribute entry into product catalogs

Value: Automated product master data from specs and images

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RetailP1

Customer Intelligence

CX and analytics teams

Pain: Voice-of-customer insight trapped in unstructured reviews/calls

Value: Entity-level sentiment and issue trending

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ManufacturingP1

Technical Documentation

Engineering, maintenance teams

Pain: Tribal knowledge locked in PDFs and logs

Value: Searchable parts and failure entity index for maintenance

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ManufacturingP1

Quality & Safety

QA / EHS teams

Pain: Manual incident review and trending

Value: Entity-based incident trending and root-cause analysis

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Real EstateP1

Lease & Title Analysis

Asset managers

Pain: Manual lease abstraction across portfolios

Value: Automated lease abstraction and obligation tracking

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Cross-industryP1

Research & Analytics

Analysts, researchers

Pain: Manual synthesis across many sources

Value: Entity-level analysis, dashboards and alerts

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Cross-industryP1

Compliance & Audit

Internal audit

Pain: Manual audit sampling of communications

Value: Entity-based monitoring and audit trails

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Cross-industryP1

Finance Ops (AP/AR)

Accounts payable/receivable teams

Pain: Manual invoice data entry

Value: Automated AP data extraction and reconciliation

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Cross-industryP1

Privacy & Data Protection

DPOs, privacy officers

Pain: Manual data inventory and discovery

Value: Entity-level personal-data discovery and mapping

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MediaP2

Rights & Licensing

Business affairs, legal

Pain: Missed rights exposure in large catalogs

Value: Entity detection for clearance, royalties and compliance

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EducationP2

Learning Content

Faculty, L&D teams

Pain: Lecture and course content is not indexable for learners

Value: Concept maps, study aids and course search from lectures

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EducationP2

Research Libraries

Librarians

Pain: Manual cataloging and metadata work

Value: Automated entity catalogs and discovery surfaces

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Real EstateP2

Property Intake

Acquisitions teams

Pain: Slow manual underwriting intake

Value: Structured property data from docs and images

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Recruiting/HRP2

Interview Insights

Interviewers, hiring managers

Pain: Interview notes are unstructured and inconsistent

Value: Entity-based interview notes, scoring and debriefs

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Cross-industryP2

Executive Intelligence

Executives, chiefs of staff

Pain: No aggregate view of organizational knowledge

Value: Executive entity dashboards and topic alerts

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See V-LKG on your content.

Send us a sample video or document set. We'll build a pilot knowledge graph and a custom simulator scenario for your team.

  • ◆30-minute tailored walkthrough
  • ◆Pilot graph on your own footage
  • ◆Pricing for SMB to enterprise