Investors

The manager layer is the last unautomated seat in the enterprise.

Every function has a system of record except the one that decides whether any of them get executed. LeaderScale is building the AI manager operating system to own that layer.

The thesis

Companies don't outperform their managers.

Managers account for 70% of the variance in team engagement and performance, yet the manager layer still runs on memory and hope. Strategy gets decided in the boardroom and won or lost in the 1:1.

The category

AI manager operating system.

A new category, also framed as an AI Chief of Staff. Not a rep tool and not a dashboard. The instrument the manager runs their team on.

Why now

Span of control is rising.

Average direct reports per manager grew from 10.9 to 12.1 in a year, up roughly 50% since 2013. Managers are asked to coach more people with the same broken system.

The wedge

Diagnosis, not whispering.

LeaderScale finds the behavior at the root of a revenue problem, prescribes the next move, and confirms the following week that it stuck.

Proof and traction

Measurable lift, real buyers, a widening moat.

SchoolStatus

72%

Pipeline growth from managers completing 79% of their structured 1:1s, against about 25% for low-engagement managers.

Coaching ROI

up to 19%

Improvement in rep gap-to-goal from structured, targeted coaching versus generic or absent coaching.

Credibility

SOC + Sandler

AICPA SOC compliant, and partnered with Sandler to bring proven coaching methodology into the console.

Services-business training clients, 2020 to 2025

Sales leadership at these organizations was trained through the coaching services business that preceded the platform. They are training clients rather than customers of the LeaderScale software.

The moat

Validated intelligence, not a wrapper.

The engine runs on more than a thousand validated coaching interventions and a 541-metric diagnostic taxonomy, each mapped from a root cause to the outcome it produced and built from a decade of enterprise coaching. Patent pending. The model never invents an action. It selects from the validated system.

The team

Extensive domain expertise.

CL

Colum Lundt

Founder and CEO

30+ years and five companies founded, with three exits including one to Accenture. Former CRO at Sandler, the world's largest sales training company, where he drove 215% year-over-year growth and trained more than 7,000 sales leaders, reps and CSMs. Has built and refactored go-to-market motions for Salesforce, Oracle, Microsoft, LinkedIn, Folio, Informatica and Gong, including Gong's early sales playbook, written when they were a startup in a WeWork.

OL

Owen Lawlor

VP, AI and ML

20+ years in technology consulting and product, with three companies founded and two acquired. Co-invented and sold Metacog, a deep learning analytics platform acquired by CompTIA, the world leader in vendor-neutral cybersecurity, IT and networking training and certification. Winner of the ATP Innovation Lab Game-Changing Technology Award, with deep expertise in deep learning, NLP and learning systems.

Advisors

TS

Tom Schodorf

Board advisor

Former CRO at Splunk, scaling revenue from $20M to $1B. Board seats at Rapid7, Kaseya, and Cribl.

ER

Eric Richard

Board advisor

Former CISO and SVP of Engineering at HubSpot for 11 years. CTO at Dutchie. MIT.

Request the deck

Talk to Colum directly.

Skip the form. The market model, traction, team, and use of funds live in the deck, and the fastest way to get it is a direct conversation with the founder.

Colum Lundt Founder and CEO