You built with AI. Let's ship it right.
Production help for teams shipping AI-built products. Security review, deployment, scale, and everything that comes after the prototype works.
The prototype works. Now the hard part starts.
You built something with Cursor, Lovable, v0, Bolt, Claude, Replit Agents, or Copilot. It runs locally. It looks like the demo. Now real users, real data, and real consequences are one deploy away — and the AI tool cannot tell you if it's actually ready.
Security review
Auth flows that actually protect data. Injection paths closed. Secrets never leaked to the client. Session handling that survives contact with real users.
Production deployment
Real CI/CD. Environment separation. Rollback plans that work. DNS, SSL, and edge configuration set up so nothing breaks on Monday morning.
Database integrity
Migrations that do not lose data. Backups you can actually restore from. Query performance that holds under real load, not just the seed data.
Scale and reliability
Load testing at target volume. Rate limiting. Graceful degradation. Uptime that lets you sleep the night before a big launch.
Monitoring and alerts
Error tracking. Performance metrics. Alerts that fire before your users notice. Logs that let you actually debug when something breaks at 2am.
Ongoing maintenance
Dependency updates. Security patches. Feature evolution without breaking what already works. A plan for who owns what after we hand it off.
What we do, in concrete terms.
Six engagement types. Pick one, pick a few, or start with the audit and decide from there. One team, based in Mumbai, working with clients globally.
Code and security audit
Full review of your AI-generated code. Security holes, structural issues, dead paths, dependency risks. Delivered as a written report with prioritized findings and honest severity ratings.
Production deployment
Hosting setup, CI/CD pipeline, environment configuration, DNS, SSL, monitoring, error tracking — wired up so that pushing to main means shipping safely.
Security hardening
Auth flows reviewed and fixed. Data exposure audited. Injection paths closed. Third-party dependencies checked. Secrets pulled out of source control. Real security, not security theatre.
Performance and scale
Bottlenecks identified. Database queries optimized. Frontend performance tuned. Load tested at the volume you actually expect. Cost modeled so scaling does not surprise you.
Team handover
Documentation, runbooks, and training so your team, or a future team, can maintain what we ship. No hidden knowledge, no vendor lock-in.
Ongoing support
Optional monthly retainer after handover. Security patches, dependency updates, performance monitoring, incident response. You get an on-call team without hiring one.
Who this is for.
The common thread: someone built the first version. Now they need someone who has done this before to take it from "it works on my machine" to "it works for our users."
Founders with AI-built MVPs
You prototyped it yourself. It works. Now investors, customers, or your co-founder want production quality, and you need it hardened before the demo goes public.
Product teams with AI prototypes
Your team shipped a proof of concept fast. Now it needs to survive real users, real data, and the six months of change nobody planned for.
In-house engineering teams
Your team is capable but stretched thin. You need reinforcement on security, deployment, or scale so your own engineers can stay focused on the roadmap.
Non-technical teams
You commissioned an AI-built product or generated it yourself. Now you need someone technical to verify it, harden it, and take it to production without a full time hire.
Four steps. No surprises.
Every engagement starts small and expands only if it should. You are never locked in.
Discovery call
Tell us what you built, what you used to build it, and where you are stuck. We tell you honestly whether we can help, what shape the engagement would take, and roughly what it would cost.
Audit and written report
Full review of your code, security posture, and deployment readiness. Delivered as a written report with prioritized findings, honest severity, and a concrete plan you can act on with us or with your own team.
Implementation
We fix what the audit flagged and take the project to production. Or we hand your team the plan and stay available to advise. Your call, based on your team's capacity and preference.
Handover or retainer
Documentation, runbooks, and training so ownership transfers cleanly. Optional ongoing retainer for security patches, dependency updates, and incident response if you want us to stay in the loop.
Common questions.
Do you work with existing AI-generated code?
Yes. That is the entire point. We do not require you to rewrite anything before we start. We work with what you have — Cursor output, Lovable projects, v0 exports, Bolt builds, Replit apps, Claude-generated backends, GitHub Copilot commits, or any mix of them.
Who owns the code after the engagement?
You do. We do not retain any intellectual property in your product. Everything we write for you belongs to you, in your repository, under your name.
Which AI tools do you support?
All of the major ones. Cursor, Lovable, v0, Bolt, Claude, Replit Agents, GitHub Copilot, Windsurf, Devin, and whatever else you used. Our job is not to be religious about tools — it is to make what you have production ready.
How long does an engagement take?
Discovery is 30 minutes. Audit is typically one week. Implementation varies with scope — most projects fall between four and eight weeks. Very small hardening projects can finish in two weeks. Larger scale or complex builds can take longer. We tell you honestly after the audit.
What if we only want the audit?
That is a common engagement. Audit-only projects are welcome. You get the written report and the prioritized plan, and you decide what to do with it. There is no obligation to continue with us afterward.
Do you offer ongoing support after the project ships?
Yes. After handover, we offer an optional monthly retainer that covers security patches, dependency updates, performance monitoring, and incident response. Think of it as an on-call team without the hire.
Do you sign NDAs?
Yes. We are happy to sign a mutual NDA before the discovery call. Just tell us at the point of first contact and we will send a standard mutual NDA, or work off yours if you prefer.
Where are you based, and do you work with international clients?
We are based in Mumbai, India, and work with clients globally. Time zone differences are worked around with scheduled sync calls plus asynchronous updates in whatever tool your team uses — Slack, Linear, Notion, email, whatever fits.
Ready to ship your AI project?
Book a free 30 minute discovery call. We reply within one working day.