IP Protection
We protect your methodology from being trained on public AI models or exfiltrated by users.
What We Do
TracyChat builds AI software for experts with proprietary methodologies.
Your competitive advantage scales while your methodology stays protected.
Skin in the Game
We tie our success to yours. If you don't win, neither do we.
Long-Term Partnership
We build for the relationship, not just the one project.
What We Build
We extract how you diagnose problems, handle edge cases, and guide clients through decisions. We turn that into structured logic AI can follow.
We build production software. UI, backend, AI layer. You get full ownership of code, models, and extraction artifacts.
Case Studies
Selected production builds and measured outcomes.
Email Automation
Cogent World
Automated influencer outreach and fulfillment handoff from inbox to delivery.
160h/yr Time recovered
Read case study →
Workflow Automation
Emily Pearlman
Two-stage AI agents that scale resume writing without losing voice.
200% Capacity increase
Read case study →
Sales Coaching Platform
James Rores
A full 0-1 platform turning 30+ years of sales expertise into software.
13 weeks MVP timeline
Read case study →
Research Automation
Mark Farrington
Custom research automation for a hedge fund manager.
92% Cost reduction
Read case study →
MAX BERRY
Founder & CEO
Max founded TracyChat after ten years building software and three years focused on applied AI and machine learning.
He works directly with clients to engineer AI that replicates expert judgment. His work focuses on translating tacit knowledge into reliable systems that maintain quality under production pressure.
Max writes about AI productization and behavioral engineering. His writing reaches practitioners building AI products across 160 countries.
TracyChat has been doing this for two years. The team has 25+ years combined software experience and 15+ years in AI and machine learning.
What We Protect
Your advantage only matters if ownership and controls are clear.
Ownership
You own the code, logic, and deliverables we create for your build.
Data Controls
Your proprietary data and methods stay ring-fenced and are never reused across clients.
Production Guardrails
We implement security, prompt-injection safeguards, and monitoring before launch.
Common Questions
What does TracyChat do?
TracyChat turns your expertise into AI software. We build AI products you sell to clients and AI systems you use internally, from development to deployment.
How is this different from hiring AI developers?
Most AI developers build chatbots. TracyChat builds AI that sounds human and persuades like you do. We handle the technical work (security, optimization, prompt injection protection), but our differentiator is behavioral engineering. We study how you persuade clients, how you coach them through decisions, and we build AI that replicates that. Generic developers give you a bot. We give you a system that sounds like you and gets people to act.
Who is this for?
This is for people with genuinely unique expertise. AI is commoditizing generic advice and standard frameworks. If your knowledge is truly differentiated (proprietary methods, novel insights, perspectives you can't Google), we help you scale it.
How long has TracyChat been doing this?
TracyChat has been doing this for two years. Our team has 25+ years combined software experience and 15+ years in AI and machine learning. We know where AI breaks in real use and what works in demos versus what works with actual users making actual decisions.
Will I own what you build?
Yes. You get full ownership of code, models, and extraction artifacts. For launched products, we sometimes structure revenue-share agreements, but your methodology stays yours. Your proprietary knowledge never trains public models, never gets shared, never leaves your control. Most AI companies treat client data as training material. We treat it as your competitive advantage.
Where is TracyChat based?
TracyChat is based in Ottawa, Canada. Our team works across North America and Europe, fully remote with overlapping hours for real-time collaboration.