From idea to working product -
we're with you every step

An MVP is not a smaller product, it is the answer to a question. Validation design, constant client contact through pre-prod, and a written technical debt handover.

• A one-sentence validation question with the success threshold set in advance
• A not-building list as explicit as the build list

Cursor, Lovable, Replit, Codex and Claude Code output made production-ready: security audit, fixes shipped as PRs, a permanent CI/CD security gate.

• Three stages: audit, fix, a permanent CI/CD security gate
• Access control, secret leaks, hallucinated packages and injection bugs scanned

The hard part of a mobile app is distribution, not screens. How we handle version compatibility, offline behaviour, store submission and forced updates.

• One codebase with Flutter and React Native, Swift and Kotlin where needed
• A backend contract compatible with old clients, plus minimum version checks

The cost of a web project shows up over time, not at launch. We settle rendering strategy, type safety, multilingual architecture and content management up front.

• Rendering chosen per page type, cache refresh tied to events
• Core Web Vitals tracked from field data, not from a lab score

We put LLM and agent systems into production: RAG, document automation, WebMCP, and measurable accuracy. Not models from scratch, but systems that work.

• RAG and enterprise knowledge retrieval with source attribution
• Agent workflows with tool calling, loops, and graph structures

Technical SEO is never finished, and any release can break it. We build indexing, hreflang, Core Web Vitals, 301 mapping and measurement as one system.

• Technical audit covering indexing, crawl budget and redirect chains
• Page layout that stops pages competing, plus descriptive internal links

AI engines do not rank, they select sources. We make your site citable with llms.txt, structured data, E-E-A-T, a written crawler policy and WebMCP.

• llms.txt, machine-readable endpoints and honest sitemap hygiene
• Schema.org structured data that matches the visible page exactly

We move Meta and LinkedIn leads into your CRM and feed the sales outcome back through the Conversions API. Self-hosted setup, monthly EMQ and conversion report.

• A lead line from Meta Lead Ads, LinkedIn and site forms into the CRM within seconds
• Qualified, disqualified and won-sale signals fed back through the Conversions API

The point of CI/CD is safe rollback, not speed. Pipeline anatomy, environment and secret management, containers, observability and written handover.

• The rollback step written before the deploy step
• The exact image that was tested is the one released

Technical decisions without a full-time CTO: irreversible decisions, architecture decision records, a technical debt inventory and vendor evaluation.

• Irreversible decisions separated out and written before they are made
• One page per decision: options, reasoning and reversal condition

Scaling is not adding servers, it is finding the bottleneck. Measurement, database and query optimisation, cache layers, queues and a reversible migration.

• Measurement first: no architectural change proposed before a profile exists
• Four homes for the bottleneck: query, synchronous step, cache, release pipeline