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The missing link between AI hype and human outcomes.

We are building Lucy, a proactive AI coach that helps people move from AI-assisted searching to AI-enabled solution building in real workflows.

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Why Lucy Labs exists

AI can transform work, but most organizations still fail to realize meaningful value. The gap is not model capability. The gap is human capability, trust, and execution.

WHY

Technology should serve people

Our mission is to help people use AI to solve problems and improve everyday life.

HOW

Behavior change before scale

We start with trust, prove value, build habits, develop competency, then scale.

WHAT

A proactive, privacy-first AI coach

Lucy helps teams apply AI in context and build practical solutions that compound.

Abstract visual showing movement from fragmented AI activity toward aligned human outcomes.
From fragmentation to aligned execution.

The problem we see in the market

AI transformation often gets treated like software procurement. Buy tools, run training, expect results. That pattern does not work.

What teams experience

  • AI used as an advanced search box, not as a solution-building capability
  • Pilot activity without sustained behavior change
  • People stuck waiting in centralized queues to solve local workflow problems
  • Fear, mistrust, and shadow-tool behavior slowing adoption
Abstract split visual showing AI chaos transitioning into coordinated execution.
The shift from scattered effort to coordinated outcomes.

Why this persists

  • Trust is treated as a compliance checkbox instead of a product requirement
  • Training is detached from daily work context
  • Adoption is pushed before personal value is proven
  • Capability remains concentrated in specialists rather than distributed to domain experts

Lucy is designed to close this exact gap: from AI potential to real human outcomes.

How Lucy works in practice

Instead of isolated training moments, Lucy runs as a continuous coaching loop in the flow of work.

  1. Observe

    Understand real work patterns with explicit user control and transparent boundaries.

  2. Assess

    Map goals, baseline capability, and friction points that matter most to each role.

  3. Plan

    Create a practical, role-specific path toward near-term value and long-term capability.

  4. Demonstrate

    Deliver quick wins where work is actually happening to prove relevance and build trust.

  5. Enable

    Turn one-off wins into repeatable habits that spread across teams.

  6. Iterate

    Continuously refine skills and workflows so users grow into solution architects.

Abstract six-point loop representing continuous AI coaching and capability growth.
A continuous cycle that turns first wins into lasting capability.
Trust Value Adoption Competency Scale

What makes Lucy different

Proactive coaching

Lucy does not wait for perfect prompts. She guides people at teachable moments in real context.

Privacy-first trust model

Transparency and user control are foundational, not add-ons layered on later.

From use to creation

The goal is not faster output alone. The goal is helping domain experts build better solutions themselves.

Who we build with

Every audience starts with the same foundation and then goes deeper into what matters most for their decisions.

Design Partners

Co-create early workflows and shape product direction around real operating constraints.

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Potential Team Members

Join an early team focused on trust, agency, practical execution, and measurable impact.

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Investors

Review our thesis, roadmap, and strategy for scaling durable AI outcomes.

View Investor Page

The evolution is already here.

Once people are empowered to build with AI, what problem gets solved first?

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