Build your product idea with AI. We make sure it actually works.
Who is this for?
Companies like these gave us 4.9 on Clutch
If any of this sounds familiar, you're in the right place.
Business owner with an AI prototype
"I built something with AI. I have no idea if it's actually safe."
You moved fast. Now you're not sure what you have.
We review, stabilize, and tell you exactly what to do next
Funded founder
"I have funding. I need a product in 12 weeks, not a plan."
No six-month timelines. No $100K agency proposals.
We build production-ready software using AI — and we make sure it doesn't break.
Company with legacy software
"Every update breaks something. Nobody wants to touch the codebase."
Your system was built to get started, not to scale.
We stabilize it, modernize it, and make it safe to change again.
Investment
Transparent pricing,
a fraction of the alternatives.
Real numbers, real comparisons. No surprises.
What you'd pay elsewhere
Traditional agency MVP
$50,000 – $150,000
Hiring a senior developer
$10,000 – $30,000 / mo
Fractional CTO (strategy only, no execution)
$5,000 – $15,000 / mo
What you pay with us
From $2,500 / mo
delivered in weeks, not months.
How we deliver
Our Process
01 - Route mapping
$4,900
one-time fee, solid start
- Discovery Workshop PRO$1,960Included
- Architecture design
- CI/CD pipeline
- Infrastructure provisioning
- AI coding rules, secure environment setup.
Roughly half what a Big Four consultancy charges for comparable architecture work.
02 - Summit Retainer: Active
$2,500 / mo
active development
- Dedicated Engineering Lead
- Code reviews, testing, blocker support
- Full CI/CD Integration with backup
02 - Summit Retainer: Maintenance
$250 / mo
your time to validate the idea, talk to customers, market and sell the product
- Intrastructure monitoring - uptime, alerts, logs
- Security patches within 5 business days
- 2 minor change requests per month
- Response time: 3 business days
Roughly one sixth the cost of hiring a senior developer.
03 - AI Usage
At cost
transparent pass-through
- Pass-through Infrastructure
- Token Optimization
- Cost Management Dashboard
Typically $50 – $300 per month for an active project.
Got questions about our process? Let's talk - we reply within 24 hours.
The AI coding tools got impressive fast. Lovable, Bolt, Cursor, Claude Code — you can ship a working prototype in an afternoon. But if you've tried to take one of those prototypes to production, you already know the problem. The code works, until real users show up. Then it breaks in ways the AI can't fix, because the AI was never designed to think about architecture, security, or what happens at scale.
The alternative is a traditional agency. Real engineers, real quality, but six-month timelines and $100K budgets that most founders can't justify.
Nobody was combining the two. AI speed with engineering judgment. That's the gap we decided to fill.
Piotr Czyż
CEO
Frequently asked questions
AI tools helped me build a working prototype fast. Why can't I just keep going with them?
Because "working" and "production-ready" are completely different things. In 2025 and 2026 alone, seven documented incidents resulted in the deletion of databases, 1.5 million exposed API keys, and platform-wide breaches. All from code that passed testing just fine. The truth is, the gap between a demo and a real product accounts for 40-60% of the total engineering effort. That includes security hardening, error handling, edge cases, deployment pipelines, and monitoring. We exist to close that gap. Our Discovery Workshop establishes production-grade architecture before any code is generated, and every feature undergoes human review before going live.
How is this different from using Cursor, Copilot, or Claude Code directly?
When you use AI tools on your own, you're the one generating the code and the one checking it. The data shows that it doesn't work. Only 23% of developers consistently review AI-generated code for security before shipping it. Our model separates those roles. AI generates. You direct the vision. Rocksoft engineers review every line before it reaches production. This isn't an add-on or an optional step. It's the core of what we do. Nothing ships without human approval.
I've heard AI-generated codebases become unmaintainable over time. How do you prevent that?
They absolutely do, when there's no architecture behind them. Refactoring in AI-assisted projects has collapsed from 25% of changed lines to under 10%, meaning AI codebases accumulate technical debt faster than any human team would tolerate. We solve this in the Discovery Workshop by defining the architecture, coding standards, and component boundaries before any AI writes a single line of code. The AI then works within those constraints, and our engineers enforce consistency during every review. The result is a codebase that any qualified developer can pick up and understand. Not spaghetti assembled from random prompts.
My developer says AI tools make the team twice as fast. Is that true?
It certainly feels that way, but the numbers tell a different story. A 2025 randomized controlled study by METR found that experienced developers were actually 19% slower when using AI tools, despite believing they were 20% faster. The time saved generating code gets eaten up by reviewing, debugging, and fixing what the AI produced. Our model captures the real speed advantage of AI (fast feature drafting from plain language) while eliminating the hidden costs. Professional engineers handle the review, testing, and deployment so the productivity gains actually stick.
What about security? I keep reading about AI-coded apps getting breached.
Those stories are real, and they're accelerating. In March 2026, Georgia Tech tracked 35 new security vulnerabilities caused specifically by AI-generated code, up from just 6 in January. A separate scan of 5,600 live vibe-coded apps uncovered over 2,000 vulnerabilities and more than 400 exposed secrets. This happens because AI optimizes for "does it run?" not "is it safe?" Our engineers specifically check for the patterns AI consistently misses: missing authentication, exposed credentials, permissive database access, and hallucinated dependencies. That human security layer is the difference between a prototype and a product your customers can actually trust.
Ready to build your peak with Rocksoft?
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"They always tried to understand the added value and business case behind the project. They targeted efforts to make the biggest impact on our business."
Peter Savage
Director, Segavas, Oxford UK
"They understand our culture and what is important for our customers."
Clutch Review (Anonymous)
CEO, Accounting Integrations Company, Norway