Web Application Development
Applications that stay fast as they grow — server-rendered where it helps, measured against real devices rather than a developer laptop.
- Next.js
- React
- TypeScript
An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Applications that stay fast as they grow — server-rendered where it helps, measured against real devices rather than a developer laptop.
iOS and Android from one codebase where that fits, native where it does not — including the release process most teams underestimate.
Systems shaped around your operations, rather than reshaping your operations to fit a product you have licensed.
Multi-tenant products with the billing, onboarding and tenant isolation that turn an application into a subscription business.
Systems built for the constraints that define enterprise work: integration with what already exists, auditability, and surviving security review.
Applied AI with evaluation from the start, so you can tell whether the model is actually helping rather than merely impressing.
Retrieval, guardrails and evaluation around generative models, so what reaches your customers is something you can stand behind.
Applications where the model uses tools and takes actions — with the constraints, logging and evaluation that makes that safe.
Interface design based on what users are actually trying to accomplish, delivered as a system engineers can build against.
A releasable first version in weeks, scoped around the single assumption your business most needs to test.
Versioned, documented, rate-limited interfaces designed so the teams consuming them never have to guess.
Architecture, migration and cost control — infrastructure sized to your actual workload rather than to a reference diagram.
Pipelines, infrastructure as code and monitoring that turn deployment from an event into a routine.
App Router applications where rendering strategy is a per-route decision and the JavaScript budget is treated as a real constraint.
Backend services built for throughput and observability, with Node's specific failure modes addressed rather than discovered in production.
One codebase across iOS and Android, with platform conventions respected rather than averaged away.
Engineers working inside your process, repositories and standups — an extension of your team, not a parallel one.
Smart contracts and integrations built around the constraint that matters most: deployed code cannot be quietly fixed.
Device connectivity, telemetry pipelines and fleet management built around the assumption that hardware in the field will misbehave.