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// Evaluation-First AI Engineering

We build AI agents that work in production

Evaluation-first frameworks. Production-ready in less than 30 days.

Our Outcome Pricing™ model means you pay for results, not hours worked.

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agent.py — magnetiz
STATUS: READY BRANCH: main BUILD: PASSING
Ln 1, Col 1
// production.log

Trusted by Growth and
Operations Leaders

#e2b1f9c 3 days ago

"They helped us accelerate sales while improving the unit economics of our business."

Barry Bunin
Barry Bunin CEO and President
#7d4a0e1 1 week ago

"They showed us a better way to scale revenue with AI, instead of headcount."

Andrew DeMille
Andrew DeMille COO
#a3f8c62 2 weeks ago

"The AI workflow they built is now part of how we operate every day."

Matt Maher Peterson
Matt Maher Peterson CTO
#5c9b2d7 3 weeks ago

"Unlike other firms, they didn’t just add AI to our process—they redesigned the process itself."

Daniel Howard
Daniel Howard CEO
#b81e6a4 1 month ago

"They helped us stop thinking about AI as a tool and start thinking about AI as a workforce system."

Martin Wilson
Martin Wilson CEO
// The Problem

AI agents fail when evaluation
frameworks are missing.

diagnostics.log — production
⚠
0% of enterprises run AI pilots. Only 11% reach production.
⚠
0% accuracy in production means babysitting agents, not reclaiming capacity.
⚠
0% will scrap agentic AI projects by 2027 for unclear business value.
STATUS: 3 WARNINGS SOURCE: Gartner, Deloitte
evaluation_missing
// The Solution

How we deploy production-ready
AI agents

pipeline/ — magnetiz
1
01_Agent_Value_Assessment.py </>

We identify evaluation gaps and model realistic ROI gains to determine go/no-go for production deployment.

2
02_Agent_Eval_Framework.py </>

We deploy automated testing infrastructure to catch edge cases, data quality issues, and confidence problems before launch.

3
03_Agent_Operations.py </>

We deploy your agent with weekly monitoring, so it stays consistent in production and improves over time.

STATUS: READY BRANCH: main BUILD: PASSING
3 modules loaded
// Get Started

Four ways to start fast and
scale with impact.

AI Design Sprint™

Our AI Design Sprint method takes your team from start to prototype in under 30 days. It's the quickest, most reliable way to automate manual work.

// concept to prototype in 30 days

AI Implementation

Custom project consulting using our workflow-first framework and ROI model so your AI automation projects deliver the business impact you want.

// workflow-first framework

AI Agent Implementation

Enterprise-grade AI agents with evaluation frameworks, monitoring, and guardrails built in. Production-ready in 6–8 weeks.

// production-grade agents

AI Agents

AI agents designed, built, and governed to run inside your existing operations — not around them. Real capacity back for your team without changing your stack.

// deploy & govern
// The Manifesto

What We Believe

Evidence-Based Engineering > 'Vibes'
Evaluation Frameworks > Prompt Tweaking
Working Prototypes > Slide Decks
Measured ROI > AI Hype
Domain Experts > Outsourced Guesswork

The Model is NOT the Product.

// Deploy

Ready to Build?

terminal — magnetiz
magnetiz.ai  $ 
STATUS: READY BRANCH: main
awaiting input...

Our Outcome Pricing™ model means you pay for results, not hours worked.
Schedule a call to see where evaluation-first AI fits your business.

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