AI Laboratory & Software House
Agents. Apps. SaaS.
AI software house
From prototype to production, we design tools that automate reports, data flows and business processes in spreadsheets, CRM and ERP systems. We connect strategy, UX, frontend, backend and AI integrations so your company gets a working product, not a slide deck.
Each project uses the same desktop and mobile visuals as the Polish version, plus an English success story: from headless WordPress and TMS to CSRD, automotive e-commerce and proxy platform automation.
An outdated WordPress site was rebuilt into a modern headless WordPress and React setup while keeping the familiar editorial workflow.
WordPress remained the editorial panel.
The site now works as a B2B offer catalog.
A full TMS for the TSL industry: orders, fleet, invoices, CRM, portals, workflow builder and AI document import.
20+ operational modules.
33 API modules and 48 application pages.
A CSRD reporting tool: multi-company data consolidation, ESRS, workflows, dashboards, PDF export and AI narrative.
30 Excel files imported.
20,935 data points consolidated.
Migration from an outdated WordPress/WooCommerce store to a custom shop with admin panel, catalog, checkout, SEO and blog.
627 products migrated.
Admin panel for products, categories and orders.
A project takeover after previous neglect: a new automotive store with catalog, customer account, checkout and TecDoc roadmap.
438 car brands in the catalog.
Docker production stack.
A platform for Polish 4G/5G mobile proxies with automated payments, service provisioning, rotation and client panel.
Clear positioning for Polish mobile proxies.
Payment-to-access automation planned.
We do not sell developer hours. We ship products that create value.See all case studies
We define what should change after the project: less manual work, faster operations, a new product or cleaner data.
You get a work scope, risks, a rough timeline and price. If something cannot be estimated honestly yet, we say it directly.
We work in short iterations. After each one you see a working part of the product and can verify the direction.
Examples below show typical outcomes from projects where automation replaces repetitive operations, manual reporting and hours of spreadsheet work.
★★★★★
"We had offers from three vendors. The shortest estimate was 5 weeks. MKM Labs showed a working order-handling agent prototype after 4 days."
★★★★★
"They integrated an AI agent with our CRM in under two weeks. Support now saves around 18 hours a week on categorising requests and preparing replies."
★★★★★
"I worked directly with the developer throughout the project: no ticket wall, no waiting for a project manager. Decisions happened live."
MKM Labs
Common questions about AI projects, web apps, SaaS, MVPs, cost and cooperation with MKM Labs.
A focused MVP usually starts from a few thousand euros. A production SaaS, customer portal or AI system with authentication, database, integrations and monitoring is quoted after we understand the scope, data and risk.
A clickable or functional prototype is often ready in 1-5 business days. A full MVP typically takes 2-6 weeks, depending on integrations, data quality, security requirements and product complexity.
No. We build AI agents, web apps, mobile apps, SaaS platforms, ERP/CRM integrations, process automations and custom software. AI is added when it improves speed, quality or economics of the process.
Yes. An MVP is often the best way to validate demand, show investors a working product or test internal automation before committing to a larger build.
We first define the business process, available data, success criteria and risk boundaries. Then we build a small prototype, test it on real examples and move to production only after the workflow is proven.
Yes. We work remotely with clients across Europe. Communication happens through email, Slack, Teams or Google Meet, with regular demos and direct technical contact.
Yes, when this is part of the project scope. We work transparently: staging access, documentation, deployment notes and a clear support model are agreed before launch.
Yes. We choose technology based on the product goal, expected load, team skills and maintenance needs. We use React, Astro, Next.js, Node.js, Python, PostgreSQL, Supabase, Docker and leading AI APIs where appropriate.
Yes, but it needs controlled access, retention rules, logging, anonymization where needed and clear limits on what the model may do without human approval.
Yes. We can handle hosting, monitoring, backups, updates, bug fixes, feature development and technical support after the production release.
We work AI-native: faster prototyping, stronger process automation and products designed around agents, integrations and data from day one. The goal is working software, not only documentation.
Send the goal, current process, tools, deadline and rough budget. We will respond with technical questions, a recommended scope or the first implementation plan.
Free 30-minute consultation. Tell us about your project - we'll come back with a proposal within 24h.
