Adopt AI in your products, software delivery and business workflows, with quality assurance built in. Get earlier feedback, useful automation and engineers accountable for what ships.
Warsaw, PolandWorking across Europe
Steely · Head of quality & naps
Useful AI. Visible progress. Quality you can check.
Five ways we can help
Bring a product idea, a delivery bottleneck or repeated business work. We connect useful AI with the engineering and checks it needs.
Fast, accessible web applications built around your users. Clear architecture, thoughtful interfaces and code your team can maintain.
Let’s build somethingWe explore real user journeys, error states and the edges of your product. You get clear findings and evidence to help make your release decision.
Let’s check your releaseReliable test automation for the journeys that matter. We keep coverage focused and failures useful, so your team can move forward with less repetitive work.
Let’s automate the repeat workAn OWASP-led assessment of your application and APIs. Understand the risks, fix the priorities and know what to check again.
Let’s look at the risksPut AI to work in a product, your SDLC or a company process. Choose one useful task, evaluate a controlled pilot and integrate it with your tools, people and quality checks.
Explore AI integrationTools help. People own the decisions.
Product features, engineering workflows and business processes. Start with a task worth improving, evaluate a controlled pilot and make the next decision with quality, effort and running costs in view.
Explore AI features and integrationAI in your product
Start with a support request, a knowledge search or a repetitive workflow your users need to complete. We connect approved data, check representative examples and design the fallback when the feature cannot produce a reliable result.
You receive a prototype evaluation, the limitations and a usage-based cost estimate.
See the AI integration scopeAI in software delivery
Clarify tickets, propose focused fixes and bring useful review and test feedback into the existing SDLC. Engineers approve changes and QA checks expectations independently. Measure review and correction effort before claiming the workflow is faster.
You receive a pilot evaluation, reviewed proposals and a record of delivery effort and limitations.
Explore AI in the SDLCAI in business processes
Find valuable use cases, check data readiness and connect a bounded pilot to existing tools. Train the team to review and escalate. Compare handling time, corrections and cost so the decision to expand rests on business evidence.
You receive a use-case assessment, adoption guidance and an operating plan with a named owner.
Explore company-process AIFree site audit
Paste its address. We run 32 automated checks across security headers, search, speed and accessibility, and give you a scored report with a PDF to forward.
See the 32 checks firstSelected work
A closer look at what changeswhen the foundations are right.
Critical user journeys checked on every pull request, with isolated test data and a framework the team can extend.
A B2B website rebuilt with dedicated service pages and a direct route from each service to an enquiry.
Client identities are confidential. These are representative engagements.
All case studiesHow we work
Agree the first review date, launch scope, price and support window before work starts. Weekly demos keep decisions close to the work.
Our full processChoose the first deliverable, agree acceptance criteria and put the estimate in writing.
See working increments at weekly demos. Resolve questions before they become rework.
Receive release checks, source and documentation, with support terms agreed before handover.
Yes. We integrate product assistants, search and document workflows. We also help teams adopt AI across requirements, development, review and testing, or pilot automation in company processes. Each starts with a bounded task, approved data, evaluation and human approval where needed. Operating costs and maintenance are part of the scope.
Checks of the agreed user journeys, supported browsers and devices, accessibility and performance are part of delivering the build. Broader independent QA, a maintained regression automation suite and an OWASP security assessment have their own scope. The proposal identifies the included checks and any additional testing before work starts.
Timing and budget depend on the deliverables, content readiness, integrations, approval cycles and testing needs. We estimate a prototype and a production launch separately because they need different acceptance checks. The proposal names review dates, launch criteria, price, external costs and the included support period. Ongoing maintenance is optional and separately scoped.
We agree where AI tools fit your project and what information they may receive. They can assist with routine implementation and test ideas; engineers review the code, check it against requirements and run the relevant tests. AI output does not bypass acceptance criteria or human accountability.
Yes. We work in your repositories, tools and release process, alongside your in-house engineers or other partners. You can bring us in for one discipline or the whole product lifecycle.
With a discovery call about your goals, constraints and current setup. From there, we put the scope, approach and pricing in writing before work begins.
The agreement defines ownership of the delivered source, tests, reports and documentation, with third-party licences identified separately. We work in your repositories where possible and provide the agreed handover so your team can continue independently.
Let’s make it better
A new product, a difficult release, or a website you have outgrown. Tell us where you want to go.
Start a conversationsales@steelabs.techWe reply within one business day.