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AI-native leadership intelligence

Make leadership progress visible.

Naru is building an independent intelligence layer for enterprise leadership development. Track behavior over time, understand where progress is emerging, and identify where more support is needed, without replacing your existing coaches or assessments.

Request a private demo Explore our approach

Beyond participation

Participation is not the whole picture.

Naru’s approach focuses on what happens beyond attendance and completion.

  • Are leadership behaviors showing up in day-to-day work?
  • Do others notice the change?
  • Does the pattern persist?

Platform

A clearer view of progress over time.

Leaders get a private space for reflection and practical next steps. Sponsors get an aggregate view of patterns across a cohort, including where the evidence is not yet strong enough to act on.

Product concept · Illustrative dataSynthetic content. No real people or organizations.

Participant view

For the leader

Reflection · Thursday

What was hardest this week?

“Holding the close. I nearly left it as ‘let’s reconvene.’”

Pattern so far

Debate is happening. Commitment isn’t closing yet.

One thing to try

Before the next review ends, say it out loud: the decision, the owner, the date.

Share with my coach · Off

Sponsor view

Cohort level · 42 leaders

Evidence coverage

88%Self
74%Manager
52%Team
Behavior patterns
BehaviorChangeSeen byPersistingEvidence
Clearer feedbackStrengthening3 of 3Yes, 3 pointsEnough to act
Better delegationEmerging2 of 3Too earlyGather more
Cross-functional influenceUnclear1 of 3Not yetInsufficient evidence
Perspective agreesNot yetPerspectives: self, manager, team
What is changing?Direction of travel for each behavior.
Who sees it?Whether the pattern appears in more than one perspective.
Does it persist?Whether the change holds across read points.
Enough to act?Where evidence supports a decision, and where more is needed.

Vendor independence

Keep your development ecosystem. Add a clearer view.

Our approach starts with your leadership framework and is designed to work alongside human coaching, AI coaching, assessments, and internal programs. The aim is better evidence across development activity, not a requirement to replace it.

AI and judgment

AI for interpretation. Human judgment for decisions.

We are developing AI-assisted workflows to interpret permitted information, identify gaps in the evidence, and support useful follow-up. The aim is to make evidence easier to use, not to replace accountable decisions about people.

In development

Where AI helps

  • Interpreting permitted information
  • Identifying gaps in the evidence
  • Supporting useful follow-up

Always

What stays with people

  • Accountable decisions about people
  • Judgments about programs and investment
  • What counts as enough evidence to act

Data boundaries

Participant privacy is part of the measurement design.

Our approach separates personal development information from sponsor-level reporting. Organizations need a useful view of progress without turning confidential coaching conversations into performance ratings.

Personal development

Stays with the participant

  • Reflections and practice notes
  • Coaching conversations
  • Personal next steps

Sponsor-level reporting

What the organization sees

  • Patterns across a cohort
  • Evidence coverage and strength
  • Where more support may be warranted

This describes our intended design. We walk prospective buyers through the specific controls privately.

How the boundaries are designed

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What would better evidence change for your organization?

Tell us what you are trying to understand about leadership development. We will discuss whether Naru is a fit.

Request a private demo

Or write to hello@naruhq.com