FAILURE RATE
95% of AI pilots produce no measurable P&L impact
MIT 2025. Not because the technology doesn't work. Because organizations lack the human capability to convert AI potential into real outcomes.
Investors
Close the gap between AI hype and actual human capability.
Why Now
The evidence is everywhere. The urgency is acute.
SHADOW AI
78% of AI users bring their own tools to work
Microsoft Work Trend Index 2024. When official deployments don't solve real problems, people go around them — and 27.4% of the data they enter into AI tools is sensitive.
CFO PRESSURE
$252B invested. Where's the ROI?
Stanford HAI 2025. A 44% year-over-year increase in AI spend produced sub-2% productivity improvement across most of the economy. CFOs are starting to ask hard questions.
Investment Thesis
Our market is not new money.
It is misallocated money.
Companies already spend heavily trying to solve the capability problem. They just spend it on solutions that don't work: training courses with no behavior transfer, consultants whose knowledge leaves when they do, and AI tools that sit unused because nobody knows how to apply them. Lucy Labs redirects that spend into something that compounds.
BUDGET POOL 1
$75B / year in U.S. corporate L&D
$1,283 per employee per year (ATD 2023) — mostly spent on courses that don't change behavior. 1% redirected to Lucy Labs is a $750M opportunity in the U.S. alone.
BUDGET POOL 2
0.5–3% of revenue on consulting & transformation
Episodic, expensive, and the knowledge walks out the door. Lucy Labs builds that capability permanently inside the organization — at a fraction of the cost.
BUDGET POOL 3
AI governance & security spend — growing fast
Shadow AI is a compliance and security risk that CISOs can no longer ignore. A governed, trust-first coaching platform converts that risk into capability.
How We Win
Twenty years of transformation experience — codified.
After two decades driving transformation at VMware, Dell, and Zscaler, the pattern is always the same: technology doesn't drive change — people do. And people change through a specific sequence. We've codified that sequence into software.
01
Trust
Transparency first. If employees feel surveilled, adoption collapses. Lucy earns trust before it asks for anything.
02
Value
Personal, not theoretical. The average knowledge worker wastes 20% of their week on low-value obligatory work. We show them what's possible for them specifically.
03
Adoption
Most companies can't identify use cases because they don't actually know how they operate. Lucy surfaces real workflows — not the flowchart, the 47-step reality.
04
Competency
Competency comes from solving real problems in real time — not six-month-old workshops. Nicole used AI coaching to build a solution saving her company $1.2M a year. No coding required.
05
Scale
Imagine just 10% of your team solving big problems while the other 90% gets 20% more productive. That's the compounding outcome only a capability-first approach produces.
The Product
An AI coach that makes everyone a builder.
Not a chatbot. Not a training platform.
Lucy lives inside your workflow. She watches for patterns, maps tasks to tools, and proactively surfaces opportunities to automate or delegate — so you free up for the work that actually matters. She doesn't wait to be asked.
For individuals: a coach who meets you where you are and progressively builds your capability to solve problems right in front of you — without needing to be technical.
For organizations: capability that compounds.
Lucy captures what people actually need, quantifies real ROI across your entire AI toolset, and spreads what works across teams. Culture shifts from fear to confidence. Educated users become your best security layer.
Priced at $79/user/month — less than four hours of executive coaching per year — and drawing from existing L&D, transformation, and governance budgets that aren't working.
Moat
What makes this hard to copy.
Behavior-first product design
We don't measure course completions. We measure workflow outcomes. Transformation mechanics are embedded directly in the user journey — not bolted on.
Trust architecture
Privacy and control are product fundamentals, not add-ons. Full visibility into what Lucy sees and can't see. No surveillance. This isn't positioning — it's how the product is built.
20+ years of pattern data
The transformation playbook embedded in Lucy isn't theoretical. It's the distillation of two decades of what actually works — at scale, across industries, at companies like VMware, Dell, and Zscaler.
Market Size
A large market solving a real problem.
~$75B
U.S. CORPORATE L&D / YEAR
1% redirected to AI capability building = $750M opportunity in the U.S. alone. This excludes consulting, transformation, and governance budgets.
20M+
TARGET KNOWLEDGE WORKERS (U.S. + EU)
Finance, insurance, and professional services — high salaries, repetitive knowledge workflows, heavy compliance requirements. Maximum ROI per user.
$150M
BASE CASE YEAR-5 ARR
1,000 customers × $150K ACV. Conservative case: $50M. Aggressive case: $400M. All scenarios draw from existing, budgeted spend.
Looking for investors who believe the human layer is the last mile of AI.
We're early and intentional. Reach out to discuss thesis, roadmap, and long-term fit.
Contact the Founders