Why we’re building it. Why it matters. Why join the waitlist now.

Over the last year, AI prototyping has become incredibly fast.

But one thing hasn’t improved at the same pace: production.

Teams can build impressive demos in hours…

and then spend weeks trying to make them stable, traceable, compliant, and independent of a single provider.

Across projects, we kept seeing the same issues:

• brittle workflows that break on the first edge case
• vendor lock-in that forces companies to wait for Big Tech roadmaps
• limited observability and almost no auditability
• unclear responsibility between product, data, and engineering
• “quick” solutions that work great in PoC, but collapse in real environments

The result?

A market full of prototypes: but very few industrialized AI modules.

Why we’re building Keeck

We believe teams need a platform that sits between two extremes:

1. Closed enterprise suites

(Microsoft, Google, Salesforce…)

Pros: convenient at first

Cons:

• long-term lock-in
• unpredictable pricing
• opaque models
• no control over the underlying stack
• you depend entirely on their release cycles

2. Lightweight workflow tools

(n8n, Make, etc.)

Pros: fast to prototype

Cons:

• not built for production
• no reliability guarantees
• difficult to audit
• hard to scale or maintain
• fragile when providers change

Both sides have value.

But neither solves the real engineering problem: shipping AI that must run in production, at scale, under constraints, with full independence.

That’s exactly where Keeck positions itself.

What Keeck does

Keeck provides a stable and reversible foundation to:

• build structured AI modules
• test, monitor, and version them
• deploy on any infrastructure (cloud, on-prem, hybrid)
• switch providers without breaking everything
• comply with enterprise requirements (traceability, governance, data policies)

It’s not a low-code demo tool. It’s not a closed ecosystem.

It’s a production-grade bridge between “we built it” and “it actually runs”.

Teams regain control over:

• their models
• their infra
• their costs
• their roadmap
• their independence

Exactly what serious AI needs in 2025 and beyond.

Why join the waitlist

Because the first version of Keeck is built with the early adopters — not after.

Joining the waitlist gives access to:

• early previews of the platform
• our internal notes and engineering guidelines
• prototype → production best practices
• architecture templates
• feedback sessions to shape the V1
• priority access to the first deployment batch

If you work on AI features that must survive outside a demo, you’ll likely find value immediately.

Join the waitlist

👉 Here

We’re releasing updates progressively.

If you want to follow the build and contribute early feedback, now is the moment.