Technology stack for
web, mobile & AI products
Primary stacks for custom web and mobile apps with AI integrations — React, Next.js, TypeScript, React Native, Flutter, and LLM tooling. Secondary tools for blockchain and AI products when your roadmap needs them.
Frontend
Primary focus: React, Next.js, and TypeScript for web apps and SaaS products that stay fast and maintainable.
How we choose technology
We choose tools your team can run: fit for the product, hiring market, and ops cost — not a logo parade.
Fit over fashion
We pick tools for your problem, team, and timeline — not because they topped last month's Hacker News thread.
Proven in production
Every recommendation has shipped at scale. Experimental tech stays in spikes until it earns a seat in the stack.
Ownable by your team
We avoid lock-in and exotic setups. The stack should be something your engineers can extend without us.
Ops cost included
Hosting, observability, and hiring difficulty count. A "free" framework that needs three specialists is not free.
Stack blueprints
Starting combinations we refine per project — web and mobile with AI integrations first, with blockchain or productized AI added only when they earn a place.
SaaS product platform
App Router frontends, typed APIs, relational data with caching, and infra that scales with seats — not guesswork.
AI integrations
LLM orchestration, RAG pipelines, vector search, and evaluation loops wired into a web or mobile product surface.
Mobile + API
Shared mobile codebase, push and offline-first patterns, and a backend your web and partners can share.
Web3 application
Secondary blueprint: auditable contracts, typed client SDKs, and a web layer that feels like a product — not a block explorer.
How we ship with these tools
Mastery is not knowing APIs — it is the engineering bar we hold on every project.
Typed by default
TypeScript, schema validation, and contract-first APIs so bugs fail at compile time — not in production.
Tests where it counts
Unit coverage on domain logic, integration tests on boundaries, and smoke tests on every deploy path.
Observable systems
Logs, metrics, and traces from day one. If we cannot see it breaking, we do not ship it.
Security in the pipeline
Dependency scanning, secret hygiene, least-privilege IAM, and threat modeling on sensitive surfaces.
CI/CD as a product
Preview environments, gated merges, and rollback-ready releases — not "works on my machine" deploys.
Clear boundaries
Modules, services, and packages with explicit ownership so the codebase stays navigable as it grows.
Already have a stack?
Greenfield is rare. We modernize, consolidate, and scale what you already run.
Incremental migration
Strangle legacy systems piece by piece. Keep the lights on while new services take over high-value paths.
- Risk-ranked cutovers
- Dual-run periods
- Zero big-bang weekends
Stack consolidation
Too many frameworks, too few experts. We rationalize tools so your team ships faster with a smaller surface area.
- Audit existing tooling
- Shared platforms
- Hiring-friendly choices
Performance & scale
When the stack is fine but the system is slow, we profile, cache, shard, and redesign the hot paths.
- Load & latency budgets
- Query & cache strategy
- Capacity planning
Let's build something
remarkable
Whether you need a web or mobile app with AI integrations, blockchain work, or a conversation about our AI products — tell us what you're building and we'll respond fast.
Stack questions
How we pick tools, join existing codebases, and keep you out of lock-in.
For web: React, Next.js, and TypeScript. For mobile: React Native and Flutter. For AI integrations: LLM APIs, RAG, and evaluation tooling embedded into those products. Backend and cloud tools are chosen to support the same stack.
Yes, as a secondary capability. We add smart-contract and wallet workflows when they create clear product value — not by default. AI products we ship (Stampvio, MarqueeDesk) are also secondary to client engineering.
No. We recommend what we know ships well for web, mobile, and AI integrations, but we work inside your constraints — existing languages, cloud vendors, and compliance requirements.
Yes. Most engagements start with a technical audit, then we plug into your repos and rituals rather than rewriting for the sake of it.
Both when needed. Application, data, and infrastructure are designed together so web and mobile releases stay deployable and observable.
We prefer open standards and portable infra where practical. Managed services are fine when they buy speed — we keep exit paths and data ownership clear.