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ai10tionLabs

ai10tion Labs / TechCrunch Disrupt 2026

Three products.
One thesis.
Built to prove it.

Kesalul turns career depth into hiring signal. Pamola turns market signals into thought leadership. Netuk helps enterprises manage their AI workforce. Three deployable products built around structured evidence and decisions you can trust.

Chris McManaman, founder / 20+ years in enterprise software, product strategy, and transformation

One operating thesis

01 / Structure the evidence

Make fragmented inputs useful.

02 / Govern the decisions

Keep context, purpose, and accountability.

03 / Deliver the outcome

Turn intelligence into work that matters.

Product built. Market proof next.

Kesalul / Pamola / Netuk

Three deployable productsAWS infrastructure in placeAccounts & payments operational

The ai10tion Labs portfolio

Three problems worth solving.

Each product starts with a specific buyer and a consequential decision. The common thread is turning fragmented information into intelligence people can act on.

01 / Career intelligence

Kesalul

How do you make a deep career visible to the right employer?

Kesalul turns career evidence and target-role requirements into decisions about fit, positioning, resume strategy, and interview readiness.

Built for
Experienced professionals navigating complex hiring processes

02 / Governed content operations

Pamola

What if your thought leadership kept pace with your market?

Pamola turns current industry signals into timely, source-grounded thought leadership tied to what a company sells and what its customers need now.

Built for
B2B content marketing teams

03 / Enterprise AI management & governance

Netuk

Your AI agents are becoming a workforce. Who manages it?

Netuk gives business and technology teams a shared operating record for AI agents: what they do, why they exist, what they cost, and the value they create.

Built for
Enterprises deploying AI agents across business functions

Built today

The core build is done.
The market gets the next vote.

Working applications, back ends, and AI workflows are already in place. The next phase is customer acquisition, sharper UX, enterprise capability, and market validation.

  1. Find customer pull

    Which problem is urgent enough that buyers will commit time and budget?

  2. Prove repeatability

    Can the first customer become ten, then one hundred—with economics that hold up?

  3. Concentrate the effort

    Let evidence determine which product earns focused founder attention and capital.

Meet the builder

Chris McManaman

A founder with 20+ years in enterprise software, product strategy, and transformation—and three products ready for customer conversations.

“Which of these problems looks commercially urgent to you, and why?”

That’s the conversation I’m bringing to TechCrunch Disrupt 2026.

Let’s compare notes

Which of these problems
would you spend 20 minutes on?

Meet Chris. Explore a product, challenge the thesis, or talk about putting it in front of customers.

Meet Chris