A critical system isn’t working, and nobody agrees why.
A critical project, product, or engineering organization is struggling. Different groups have different explanations. You need someone independent to get underneath the symptoms.
We are Logos
- logos /ˈloʊɡɒs/ n.
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λόγος — reason, account, principle.
The search for what lies beneath the obvious.
We like difficult problems
Difficult technology problems don’t always respect neat boundaries.
Logos can advise, lead, investigate, and build — depending on what the problem requires.
When to call
Bring the problem, not the diagnosis.
This project matters. I need someone senior to own it.
You need experienced technical leadership and real responsibility for an outcome, but not necessarily another permanent executive.
We built this with AI. It works. Now what?
You reached a convincing application remarkably quickly. Now architecture, security, reliability, customers, support, scale, and product questions are becoming harder than generating another feature.
I need an independent technical opinion before we make this decision.
A technical decision has meaningful business consequences. You want someone experienced enough to investigate and challenge the assumptions on all sides.
How we work
We work at the level the problem requires.
A technical problem can turn out to be an architecture problem. An architecture problem can be an ownership problem. A delivery problem can start with product. And sometimes the answer really is in the code.
Logos can move between those levels without handing the problem from specialist to specialist.
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In the code
Architecture, implementation, data, reliability, performance, security.
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In the product
Requirements, UX, technical tradeoffs, what should—and shouldn’t—be built.
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In the engineering system
Delivery, ownership, tooling, team boundaries, operational responsibility.
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In the organization
Leadership, incentives, communication, culture, accountability.
Working software is only the beginning.
We help take AI-built applications from working prototype to viable product.
What comes after the prototype
It works. That doesn’t mean it’s ready.
It is very easy to vibe-code an application. Getting it ready for production is a different matter.
What happens when something fails? What happens under load? Can you recover without losing data? Where are the security boundaries? Can another engineer understand and change it six months from now?
AI can help answer all of those questions but you need an experienced human to know which ones matter.
Beyond the software
What about everything else?
We don’t assume the software is bad, or that an AI-built prototype needs to be rewritten.
We start by understanding what has been built, what the product needs to become, and what is actually getting in the way.
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The software
What should be kept? What needs testing, instrumentation or rework? Where are the risks, and which ones are worth fixing?
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The product
Who is it for? What problem does it solve? Does the UX fit the way people actually work? How are you learning from customers?
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The business
Who will buy it, and why? How will you reach them? Does the product fit how it needs to be sold, supported and operated? Can the business learn fast enough to make it better?
AI changes more than how code is written.
We help engineering organizations adapt the way they design, build, review and ship software.
The system
When coding gets faster, everything else has to keep up.
The objective is not maximum generated code or maximum automation. It is a better software-delivery system.
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What should humans do, and what should agents do?
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What context do agents need and what should they remember?
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What authority should they have, and where must approval stop them?
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How should generated work be reviewed and validated?
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How do important decisions survive chat histories?
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How do engineers remain accountable for software they increasingly build with agents?
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What should we measure, if more software is not the same as more effectiveness?
Track record
Built for the real world.
Organizational scale
~4 → ~180
Built and led engineering organizations through startup growth and scale.
Application scale
~10K → ~15M/day
Designed systems to survive three orders of magnitude of growth.
Business scale
~$120M ARR
Built the operational systems at the core of a nine-figure recurring-revenue business.
Reliability
~6–8/night → ~1/year
Transformed reliability alongside architecture, tooling, ownership, and engineering practices.
Impact
~$1B
Delivered mission-critical software trusted to run repeatedly without incident.
Bring us the problem.
If it’s important, technical, and not obvious what to do next, that’s a good place to start. You don’t need to know exactly what kind of problem you have before we talk.
Talk to us