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ScreeLabs

AI-accelerated software development studio

Built with AI.A fraction of the cost.

ScreeLabs helps you bring your ideas to life. While AI does the heavy lifting, engineers make the decisions and own the result. You get production-ready software in weeks, not months.

Contact UsSee how we build
  • AI guided by engineers
  • You own 100% of the code
  • Lower cost than traditional development

Why ScreeLabs

AI can write code. Shipping great software still takes judgment.

AI tools allow software to be built faster and cheaper. But they haven't changed what makes software good: a clear understanding of the problem, sound architecture, careful review, and someone who's accountable when it matters.

We built ScreeLabs around both halves of that. We put AI to work everywhere it makes us faster, and keep engineers in charge everywhere it counts.

What we do

From first idea to production, and everything in between.

  1. 01

    Product development

    Web and mobile apps built from idea to launch with an AI-accelerated workflow and a senior team that sees it through.

    • Web apps
    • Mobile apps
    • APIs
  2. 02

    Prototypes & MVPs

    Put something real in front of users fast. Clickable prototypes in days, launch-ready MVPs in weeks.

    • Validation
    • Rapid prototyping
  3. 03

    AI features & integrations

    Add AI to the product you already have: assistants, smart search, document processing, summarization, and recommendations grounded in your data.

    • LLMs
    • RAG
    • Chat & search
  4. 04

    AI agents & automation

    Agents that take action across your tools, not just answer questions. Built with clear guardrails, human checkpoints, and measurable outcomes.

    • Agents
    • Workflow automation

How we build

AI accelerates. Engineers own it.

Our process is designed to strike the right balance between speed and quality. AI handles the repetitive work at every stage. People make every decision that matters.

  1. 1

    Discover

    We dig into your goals, users, and business cases, then hand you a written plan with scope, timeline, and estimate.

  2. 2

    Prototype

    Within a week of starting, you're clicking through a working prototype, so decisions are based on something real.

  3. 3

    Build

    We design the architecture, and guide AI to build it.

  4. 4

    Verify

    Every change gets thouroughly tested including, security checks, and a human code review before it merges.

  5. 5

    Ship

    We deploy, monitor, and hand over everything: code, docs, access, and IP.

Every line of AI-written code is reviewed by a human engineer before it reaches your users.

What you can count on

Fast, without the usual trade-offs.

  • Speed without shortcuts

    AI cuts the time spent on boilerplate, tests, and documentation, so more of your budget goes into the parts that make your product different.

  • Senior industry experts

    The engineers who scope your project are the ones who build it. No hand-offs to a junior team after the contract is signed.

  • You own everything

    Code, designs, infrastructure, and accounts belong to you from day one. No lock-in, no proprietary black boxes.

  • Progress you can see

    Weekly demos of working software and a shared board, so you always know what's done, what's next, and why.

FAQ

Questions we hear often

How do you actually use AI to build software?

We use AI coding agents to draft code, write tests, explore unfamiliar codebases, generate documentation, and catch bugs early. Engineers set the architecture, break down the work, review every change, and make the final call. Think of AI as a very fast pair of hands, with an experienced engineer always at the wheel.

Is AI-written code safe to put in production?

It is when it's held to the same standard as any other code. Everything we ship goes through automated tests, security scanning, and a human code review. If it wouldn't pass review from a senior engineer, it doesn't ship, regardless of who or what wrote it.

How long does a typical project take?

It depends on scope, but AI changes the math. A clickable prototype usually takes days, and a focused MVP often takes 4–8 weeks. After a short discovery call we'll give you a written estimate with clear milestones.

Can you add AI features to our existing product?

Yes, and it's one of the most common things we do. We'll look at your product and data, identify where AI adds real value (and where it doesn't), then integrate it into your existing stack.

Who owns the code and IP?

You do. All code, designs, and infrastructure belong to you, live in your accounts, and come with documentation so any team can pick them up.

Have something worth building?

Tell us about your idea or the problem you're trying to solve. You'll hear back from a real engineer within one business day.

Contact Us[email protected]