Services
One team across the whole product lifecycle
- Service areas
- 10
- Engagement starts with
- Paid discovery
- You own
- Code, accounts, roadmap
The full catalog
Every service area, with what it actually involves
- AI & Intelligent AutomationProduction AI systems - agents, retrieval, and automated workflows - built with the evaluation and monitoring that keep them trustworthy after launch.
- Custom SoftwareSaaS products, internal platforms, and MVPs engineered to be extended - with the architecture decisions written down and the tests that let you change things safely.
- Web DevelopmentMarketing sites, portals, and web applications that load fast on real networks, read well to search engines, and are genuinely editable by the people who own the content.
- Mobile AppsiOS, Android, and cross-platform apps that respect platform conventions, survive poor connectivity, and get through store review without drama.
- UI/UX & Product DesignResearch, interface design, and design systems - the work that decides whether people can actually complete the task your software exists to support.
- Cloud, DevOps & InfrastructureArchitecture, pipelines, and observability that make deployment routine - plus the cost visibility that stops a cloud bill from becoming a surprise.
- Data Engineering & AnalyticsPipelines, warehouses, and dashboards that produce one trusted number instead of four plausible ones - with tests on the data itself.
- Technology ConsultingDiscovery workshops, architecture assessments, and roadmaps that produce a decision you can act on - not a deck that gets filed.
- Security & Software QualitySecure development practices, authentication done properly, and automated testing that catches regressions before your users do.
- Digital Marketing & BrandTechnical SEO, conversion work, and brand systems - the engineering side of marketing, measured against outcomes rather than impressions.
How we work
Four stages, each ending in something you can hold

- 01
Discover
1 - 2 weeksUnderstand the business before proposing the software.
We spend time with the people who will use and own the system, and with the process as it genuinely runs today - including the spreadsheets and workarounds, which are usually the specification nobody wrote down. The aim is to surface the constraints and success criteria early, while they are still cheap to act on.
- 02
Strategize
1 - 3 weeksDecide the shape of the solution, and write down why.
Architecture, experience, scope, and sequence - decided together and recorded. We identify which decisions are expensive to reverse and give those the most attention, while deliberately keeping everything else cheap to change later.
- 03
Build
Ongoing incrementsShip something usable early, then improve it in the open.
We deploy a thin end-to-end slice first - proving the architecture, the deployment path, and our working rhythm together - then build out in two-week increments against a visible backlog. You get a working build at the end of every increment, not a status report.
- 04
Launch & Evolve
Launch plus agreed supportHand over something your team can genuinely own.
Launch is a staged, reversible event rather than a date to survive. Afterward we monitor real behavior, fix what the data exposes, and complete the handover - documentation, runbooks, and a structured walkthrough with whoever owns the code next.
Technology
Tools chosen for the problem, not for the resume
Frontend
Server-rendered by default, interactive where it earns the bytes.
- React
- Next.js
- TypeScript
- Tailwind CSS
- Astro
- Radix primitives
Backend
Boring where boring works; fewer moving parts to operate.
- Node.js
- Python
- FastAPI
- NestJS
- Go
- REST and GraphQL APIs
Mobile
One codebase when the product allows it, native when it does not.
- React Native
- Expo
- Flutter
- Swift and SwiftUI
- Kotlin and Compose
AI & Machine Learning
Hosted models plus the retrieval and evaluation that make them dependable.
- Claude API
- OpenAI
- Gemini
- pgvector
- Hybrid retrieval
- Evaluation harnesses
- Model Context Protocol
Data
Relational first, with transformations in version control.
- PostgreSQL
- Redis
- dbt
- BigQuery
- Snowflake
- ClickHouse
- Airflow and Dagster
Infrastructure
Reproducible environments and deployments nobody has to schedule nervously.
- Docker
- Terraform
- AWS
- Google Cloud
- Azure
- Vercel
- GitHub Actions
- OpenTelemetry
Design
Design systems delivered as code, not only as files.
- Figma
- Design tokens
- Storybook
- WCAG 2.2 AA tooling
- Axe
- Component libraries
Quality
Tests aimed at the rules that matter and the paths that cost money.
- Playwright
- Vitest
- pytest
- k6
- Static analysis
- Dependency scanning
- Lighthouse CI

Questions
The things clients ask before they commit
How do engagements usually start?
What does a project cost?
How long does a project take?
Do you work with existing in-house teams?
Who owns the code and the accounts?
What happens after launch?
Are you a US company?
What if we are not sure what we need yet?
Your next big idea deserves better technology.
Tell us what you are building. Let's explore how MindLox can help bring it to life.
Prefer email? hello@mindlox.io