Pre-launch. No logos to point at. That's the honest part. Here's the rest.
We've done this before. Twice.
I've spent thirty years being the person brought in to fix production — untangling architectures that worked beautifully in PowerPoint and fell over under load. The pattern is always the same shape: chaos, then discipline, then transformation. The vocabulary changes. The arc doesn't.
In the 90s it was cowboy coding, rockstar bailouts, and waterfall dogma. It took the industry a decade to work out that shipping fast and shipping well aren't opposites. CI/CD, observability, deployment guardrails, SRE — we earned that discipline. Quarterly releases became continuous deployment. Infrastructure stopped being a bottleneck.
Then AI came along. All of that went out the window.
The rockstars are back. Weekend demos that look magical and are impossible to operate. Boards needed an AI story, so nobody asked whether the demo survived production. Agents stack Jenga towers of code; CI slows down because nobody trusts the output; the industry calls it progress.
It's the 90s again — just with better hardware and worse accountability.
The pattern is clear. The playbook isn't — yet.
We know what the discipline looks like, because we built it last time. Prompts, context, and agent behaviour treated as versioned engineering assets. Deployments with rollback. Tests that catch regressions before customers do. Costs that attribute to owners. Guardrails that enforce policy. Observability that explains why an agent made a decision, not just that it did.
None of that is exotic. It's what we already know how to do for every other production workload. We just haven't applied it to agents yet. That's what AltairaLabs is — the second time we've had to solve this, applied to the newest version of the same problem.
This is where you come in.
AltairaLabs is pre-launch. The platform works; the production credibility doesn't — yet. We'd rather be honest about that than pretend otherwise. Instead of a sales cycle, we're opening a Design Partner Program. Three to five teams, working with us directly, building the credibility together.
What you get
- Direct access to the founder — no CSM tier, no sales filter
- Hands-on implementation support for your first production use case
- Influence on the roadmap — features shaped around your problem
- Preferential pricing through GA, locked in
- Early look at unreleased features, with input on what ships
What we're looking for
- A real AI agent use case in or near production — not a board-deck PoC
- A team that wants to actually operate agents, not just demo them
- Willingness to share outcomes publicly once we're both confident
- Appetite for a 2–3 month hands-on engagement
- Kubernetes in the stack, or a credible plan to get there
"The tools got faster. The thinking didn't. Let's fix that — together."
Think you might be a fit? Let's have a conversation — no pitch deck, no pressure.