Scale Consulting
Make your AI-built platform secure and ready to scale
You built something real, fast, often with AI doing the heavy lifting. Now the users are coming and the cracks are showing. Olib AI gives founders and small teams hands-on consulting to harden security, fix what will not scale, and cut cloud and AI costs, all without throwing away what you already shipped.
Scale Consulting
You shipped it fast. Now let's make it last
Building with AI got you a working product faster than ever. But the code AI writes is rarely secure, rarely cheap to run, and rarely ready for real traffic. When the users show up, the cracks show with them.
That is where we come in. Olib AI gives solo founders and small teams hands-on consulting to make a fast-built platform secure, scalable, and cheaper to run, without tearing down what you already shipped.
We believe a vibe-coded prototype deserves a real engineering foundation. We keep what works, fix what is fragile, and move the heavy parts to the edge, so you get a platform that is secure, scales with your growth, and costs less every month.
Sound familiar?
If any of these hit close to home, we can help.
How we help
Six ways we turn a fast-built app into a platform you can trust.
Security Audit & Hardening
A line-by-line review of the code AI wrote for you: exposed secrets and API keys, broken authentication, leaky permissions, injection holes, and vulnerable dependencies. We close the gaps and hand you a hardened, OWASP-aligned stack.
Scalability & Performance Review
We find the parts that fall over under load before your users do: N+1 queries, missing indexes, no caching layer, blocking calls, and single points of failure. Then we lay out an architecture that holds up as you grow.
Cost & Cloud Optimization
Most vibe-coded stacks burn cash on oversized servers, chatty APIs, and runaway AI inference bills. We right-size your infrastructure, cut the waste, and move the heavy work to the edge so your monthly bill drops, often by a lot.
Architecture & Data Review
We map what you built, the database design, the data flow, the third-party glue, and show you where it will crack. You get a clear, prioritized plan to refactor the risky parts without throwing away what already works.
AI Cost & Reliability
If your product leans on LLMs, we cut token spend with caching and smarter routing, pick the right model for each job, add guardrails against prompt injection, and where it fits, move inference on-device so cost drops toward zero.
DevOps & Shipping Confidence
No tests, no monitoring, and deploys that break things are normal for fast-built apps. We set up CI/CD, automated tests, error tracking, and observability so you can ship changes without holding your breath.
Why founders bring their stack to Olib AI
We build production AI ourselves
This is not advice from the sidelines. We run our own browser engine, agent platform, and trained models in production, so we know what actually breaks at scale.
No rip-and-replace
We work with the stack you already have. The goal is to make what you built secure and scalable, not to sell you a rewrite you do not need.
Cost is a first-class metric
Every recommendation comes with its effect on your monthly bill. We optimize for secure, scalable, and cheaper to run, not just one of the three.
Plain language, no gatekeeping
You get findings you can act on, ranked by risk and effort, explained without jargon. If you want, we implement the fixes with you.
On-device and edge expertise
Moving the heavy work off the server is our specialty. It is often the single biggest lever for both privacy and cost in a fast-built product.
Built for solo founders and small teams
We meet you where you are. No enterprise procurement, no six-month engagement, just focused help to get your platform stable.
Stacks we know inside out
Built on something else? That is fine. If it runs in production, we can review it and tell you exactly what to fix first.
How it works
A clear path from a shaky prototype to a platform that holds up.
Audit
We dig into your code, infrastructure, and bills, then deliver a prioritized report of what is risky, what is slow, and what is wasting money.
Plan & fix
We lay out a clear roadmap ranked by risk and effort, and either guide your team or roll up our sleeves and implement the fixes with you.
Scale & save
We harden, optimize, and move the heavy work to the edge, so your platform is secure, ready to grow, and cheaper to run than before.
Get a free first look at your stack
Tell us what you built and where it hurts. We'll take a first look at your security, scaling, and costs, and show you the three things worth fixing first, no jargon, no obligation.
Frequently asked questions
Who is Scale Consulting for?
Solo founders, indie hackers, and small teams who built a product fast, often with AI coding tools, and now need it to be secure, reliable, and ready for real users. If you shipped something that is taking off and you are not sure the foundation can hold, this is for you.
My app was mostly built with AI. Is that a problem?
Not at all, that is exactly who we help. AI coding tools are great at getting a working product out the door, but the code they write often has security holes, no tests, and architecture that does not scale. We review what you have, keep what works, and fix the parts that will break under real traffic.
Do you rewrite my whole app?
No. The goal is to make what you already shipped secure and scalable, not to sell you a rewrite. We work with your existing stack, refactor the risky parts, and only suggest bigger changes when the current approach genuinely cannot scale.
How does an engagement work?
Three steps. First we audit your code, infrastructure, and bills and deliver a prioritized report. Then we lay out a plan ranked by risk and effort and either guide your team or implement the fixes with you. Finally we harden, optimize, and move heavy work to the edge so your platform is secure, scalable, and cheaper to run.
Can you actually lower my hosting and AI bills?
Usually, yes. Fast-built stacks tend to waste money on oversized servers, chatty APIs, and runaway LLM inference. We right-size infrastructure, add caching and smarter model routing, and where it fits we move inference on-device so backend cost drops toward zero. Every recommendation comes with its effect on your monthly bill.
What does the free first look include?
Tell us what you built and where it hurts, and we take a first pass at your security, scaling, and costs, then show you the three things worth fixing first. No jargon and no obligation. If it makes sense to keep going, we scope a full engagement from there.