Upskill Your Engineers

The same intensity, instructors, and standards as our flagship program, compressed into 6 weeks for the engineers you already have.

Why Catalyst Exists

"What about the engineers we already have?"

The question everyone in the company keeps asking.

Catalyst did not start as a corporate training product. After Gauntlet's hiring partners started placing engineers, the same companies came with a desire to upskill their existing teams.

They wanted the same intensity, same instructors, same standards, just adapted for engineers who could not step away for ten weeks. Catalyst is our answer: 6 weeks of building with and building AI, designed for working professionals who need to ship Monday morning.

Same Instructors
Same Standards
6 Weeks Not 10

How Catalyst Works

Same instructors, same infrastructure, same standards as our flagship program, adapted for working professionals.

1

Set Foundations

Select your most technical, AI-forward engineers. The ones who will develop production software faster than ever before and raise the bar for the entire team.

2 to 6 Engineers
2

Define Capstone Project

The capstone project isn't assigned — it's yours. Teams bring a real problem from their own roadmap, and Catalyst is built around solving it. Your codebase. Actual production stakes.

4 weeks, part-time
3

Austin Intensive

High-intensity by design. Isolation from day-to-day work is the mechanism, not the pitch. Engineers build with AI-first coding methodologies and ship your company's capstone project.

2 Weeks, Full Immersion

See how it works for your team

We'll scope a capstone around your actual roadmap.

Learn More

Results, Not Rhetoric

"Catalyst was different, in the best way. It gave me the time and focus to go all-in on ideas I would never get to explore at work. I learned more here in weeks than months on the job."

Matthew Hills Senior Engineer, Rev.io
Case Study: Rev.io
Acceleration in delivery speed
100% Workflow adoption across all engineers

Rev.io sent five senior engineers to standardize an AI-first SDLC. They completed four major modules, work that would have taken two to three months, in 6 weeks. Every engineer and product team member now uses Catalyst workflows daily.

"One of the projects we completed at Catalyst would normally have taken us two to three months. We essentially delivered it in about two weeks."

Leadership, Rev.io
Case Study: Pilotbase
11/day Post-Catalyst deployments, 3× benchmark
3 Production-grade AI applications shipped

Pilotbase sent two senior engineering leaders who migrated 4 to 5 million lines of production code into a new AI-ready platform. They shipped one flagship product and one working prototype, triggering a company-wide velocity spike.

"We were building things faster than we used to talk about them. Some of these projects would have taken months."

Engineering Manager, Pilotbase

What Your Team Learns

6 weeks of building with and building AI, structured for maximum velocity.

Build retrieval-augmented generation pipelines and graph-based orchestration systems from scratch.

Remote, part-time modules that layer foundational AI engineering patterns (the same curriculum used in our flagship program) on top of your engineers' existing skills.

Design multi-agent systems, supervised fine-tuning workflows, MCP servers, and production evaluation frameworks.

Engineers learn to build AI, not just use it. By week four, they have built and deployed real agent architectures with rigorous eval pipelines.

Full immersion begins. 80 to 100 hours per week of hands-on building with AI tools like Cursor, Claude Code, and advanced dev environments.

Engineers learn to collapse entire development cycles, delivering features in days that used to take weeks. Building with AI as a true productivity multiplier.

Your company-defined capstone project ships. Engineers produce deployed prototypes with measurable business impact.

Final deliverables include a deployed AI prototype, complete technical documentation, a scaling roadmap, and an executive presentation with ROI analysis.

Two Ways to Engage

Every engagement ends the same way: your engineers ship a production-grade capstone scoped to a real problem your team has been unable to solve.

Standard Program

Catalyst

6 week program, 2 to 6 engineers per company

  • 4 weeks remote prework + 2 weeks on-site in Austin, TX
  • Company-defined capstone with production deliverable
  • Travel, lodging, food & laundry included
  • Executive ROI presentation & scaling roadmap
  • All IP remains fully owned by your organization
Next Cohort June 2026
Enroll Your Team
Custom Training

Catalyst Custom

Tailored format, flexible location & team size

  • We come to you: Seattle, Argentina, or wherever your team is
  • Custom curriculum scoped to your tech stack & AI roadmap
  • Flexible schedule designed around team availability
  • Volume pricing for large teams & PE/VC portfolios
  • Dedicated account manager & ongoing support
Availability Rolling, scoped per engagement
Enroll Your Team

Looking to scale AI across your portfolio?

Gauntlet allows portfolio companies to pool seats and gain incremental value.

Learn More

Your stalled initiative ships in 6 weeks. That is the start.

Next cohort starts June 2026. Tell us what has been stuck.

Enroll Your Team