AI should lift the whole economy.

The most important technology shift in a generation is arriving unevenly.

Large enterprises and the tech industry can afford to hire big consultancies or build their own teams. Generic SaaS is too shallow for messy real workflows. In the middle sit the companies that make and move goods, finance and insure businesses, care for patients, and run the services everyone depends on. They have a lot to gain from AI but little access to it.

Those companies are a third of the economy and tens of millions of jobs. When they fall behind, so does the country: lower wages, fewer jobs, weaker towns. AI was supposed to reach everyone, not widen the gap between the top and the rest. We started Realyz to close it.

Our principles.

Honesty

We give straight answers, even when it costs us. If we are not the right team, or the timing is wrong, we say so.

Humility

We learn the work before we change it. The people doing a job know things no model does.

Craft

We take pride in building things that last. The strike teams stay small and focused, so the bar never slips.

Ownership

A customer’s outcome is ours to deliver, not just advise on. We are done when the business is better.

Leadership.

Jack Guo

Jack Guo

Founder

Six years at Google, building reporting and diagnostics tools for Google Ads, used by millions of businesses. Then founder of RealXP Lab, training engineers through real projects with acclaimed indie game studios.

Anjor Kanekar

Anjor Kanekar

FDE Mentor

Seven years at Palantir as a Forward Deployed Engineer and hiring manager, building deployment teams across commercial and UK operations. Then Engineering Lead at Protocol Labs and Head of Applied AI at Radiant AI.

Piotr Kraus

Piotr Kraus

FDE Mentor

Nine years at Palantir, going from Forward Deployed Engineer to leading Financial Services Engineering across EMEA. Now Head of Solution Engineering at RelationalAI, running enterprise deployments on Snowflake.

Tongfei Guo

Tongfei Guo

Advisor

Staff Software Engineer at Google DeepMind, working on Gemini model behavior. Previously ten years at Google as tech lead and engineering manager, building the Workspace GenAI platform and Docs.