We have lived the pain.
Now we're solving it.
18 months in. 78 experiments later. LEA exists because presentations deserve better infrastructure — and because the people who build them deserve better tools.
The presentation production problem is real, expensive, and solvable.
Professional organizations — consulting firms, financial institutions, corporate strategy teams — produce thousands of presentations every year. Each one involves the same cycle: gathering information, structuring content, building slides, formatting and aligning, applying brand standards, reviewing, and revising.
The intellectual work — the analysis, the insight, the recommendation — is what creates value. The production work — the formatting, the alignment, the template compliance — is what consumes time. And when presentations carry client, deal, and executive stakes, the cost of getting production wrong is real.
We built LEA because we believe AI can handle the production layer while keeping humans in control of the substance. Not by replacing PowerPoint, not by creating another generic AI tool, but by building an intelligent execution layer that improves the slides you already have.
78 experiments taught us what works — and what doesn't.
We didn't start with the answer. We started with the problem — and spent 18 months testing, failing, and iterating until we found an approach that actually works at enterprise scale.
We learned that generation isn't the hard part — execution is. Any AI can produce a slide. The challenge is producing a slide that matches your brand, fits your template, follows your organization's conventions, and looks like your best team built it. That requires an agentic approach: understand, judge, plan, act, validate, improve.
We learned that existing slides matter more than new ones. Most presentation work isn't creating from scratch — it's improving what you already have. So we built LEA to work with your existing content, not against it.
AI changes what's possible in presentation production.
Previous generations of presentation tools tried to make the manual process faster — better templates, drag-and-drop builders, design suggestions. They optimized the existing workflow rather than rethinking it.
Modern AI — particularly agentic architectures that combine specialized capabilities — makes a fundamentally different approach possible. Instead of making manual work faster, AI can handle entire categories of production work while maintaining the quality and specificity that professional organizations require.
LEA's agentic architecture processes every slide through a structured six-step cycle: understand, judge, plan, act, validate, improve. Each step is purposeful. The result is output that reflects coordinated intelligence rather than generic generation.
Most tools generate. We execute.
We see a future where AI is embedded into the operating infrastructure of professional organizations — not as a chatbot that generates content, but as an execution layer that handles production while humans focus on thinking.
Presentations are the starting point. They're universal, they're high-stakes, and they're a perfect proving ground for agentic AI in enterprise environments. What we learn building LEA applies to every knowledge work domain where production quality matters.
LEA is building toward a future where AI agents are part of the organization's operating infrastructure — deployed, governed, and integrated like any other enterprise system. Learning over time. Getting better with every interaction.
Built by people who understand the problem firsthand.
LEA is built by a team with deep experience in enterprise software, AI systems, and the workflows of professional organizations. We've spent years inside the organizations that produce thousands of presentations — we know where the hours go.