Purpose-built software tailored to your exact workflows. We design and engineer backends, APIs, internal tools, and integrations that fit the way your business actually operates — no compromises, no off-the-shelf limitations.
Off-the-shelf software forces you to adapt your processes to someone else's assumptions. Custom software does the opposite — it molds to how your team already works, eliminating friction and unlocking efficiency that generic tools simply cannot deliver. We build the systems that become the backbone of your operations.
Backend Services & APIs. RESTful APIs, GraphQL endpoints, microservices, and event-driven architectures that power your products and connect your systems. We design APIs that are intuitive for developers, versioned for stability, and documented for easy onboarding. Whether you need a single endpoint or a full microservices mesh, every service is built for reliability, observability, and horizontal scalability.
Internal Tools. Admin panels, reporting dashboards, workflow management systems, and CRM integrations that your team uses daily. We build internal tools that are fast, intuitive, and actually pleasant to work with — because a tool your team avoids is worse than no tool at all. Role-based access, audit logging, and bulk operations come standard.
Database Design. Schema design, migration strategies, performance optimization, and data modeling that scales with your business. We architect databases that handle complex queries without slowing down, maintain data integrity under concurrent writes, and evolve cleanly as your requirements change. Every schema is designed with indexing strategies, partitioning plans, and backup procedures from day one.
System Integrations. Connecting your existing tools via APIs, webhooks, ETL pipelines, and message queues. We bridge the gaps between your CRM, ERP, payment processor, shipping provider, and any other system in your stack — turning isolated data silos into a unified, automated workflow that eliminates manual data entry and reduces errors.
Platforms. Custom marketplaces, booking systems, inventory management, and logistics tools built from the ground up. These are the complex, multi-user systems that require careful architecture to handle concurrent users, real-time updates, and intricate business rules. We build platforms that are reliable under load and flexible enough to evolve as your business model matures.
We choose our tools deliberately, optimizing for reliability, developer productivity, and long-term maintainability. Every technology in our stack has been battle-tested across dozens of production systems.
Node.js with TypeScript is our primary backend runtime for most services. We use frameworks like Express, Fastify, and NestJS depending on the project's complexity and team preferences. TypeScript catches entire categories of bugs at compile time, makes refactoring safe, and produces code that any developer can understand months later. For I/O-heavy workloads — APIs, webhooks, real-time features — Node.js delivers excellent throughput with a single-threaded event loop that keeps resource usage low.
Go is our choice for high-throughput services requiring maximum performance. When you need to process millions of events per hour, handle thousands of concurrent connections, or build CLI tools that ship as single binaries, Go's compiled nature and goroutine-based concurrency model make it the right tool. We use Go for data pipelines, message processors, and performance-critical API gateways.
PostgreSQL is our primary database, and we leverage its advanced features extensively — JSONB columns for flexible document storage, full-text search for content-heavy applications, row-level security for multi-tenant data isolation, and CTEs for complex analytical queries. Redis complements PostgreSQL as our caching layer, session store, and lightweight message queue for background job processing.
For APIs, we build with GraphQL using Apollo Server or GraphQL Yoga when clients need flexible querying, and RESTful endpoints when simplicity and cacheability are priorities. All services are containerized with Docker for consistent environments from development to production, and every project includes comprehensive testing with Jest or Vitest — unit tests for business logic, integration tests for API contracts, and end-to-end tests for critical paths.
Most businesses run on a constellation of tools that were never designed to talk to each other. We specialize in making them work together seamlessly — eliminating the copy-paste workflows, CSV exports, and manual data reconciliation that waste hours every week.
We connect to third-party services including payment processors like Stripe and PayPal, CRMs like Salesforce and HubSpot, ERPs like NetSuite and SAP, and shipping providers like ShipStation and EasyPost. Each integration is built with proper error handling, retry logic, and circuit breakers so a temporary outage in one system does not cascade through your entire stack.
We build custom middleware and API gateways that sit between your systems, handling authentication, rate limiting, request transformation, and response caching. For complex data flows, we implement data synchronization strategies using change data capture, event sourcing, or scheduled ETL pipelines — choosing the approach that best fits your consistency and latency requirements.
Webhook management and event processing are central to how we build integrations. We implement reliable webhook receivers with signature verification, idempotency guarantees, and dead-letter queues for failed deliveries. For legacy systems that lack modern APIs, we build adapters and translation layers that expose clean interfaces while handling the quirks of older protocols and data formats behind the scenes.
Legacy systems are expensive to maintain, difficult to extend, and increasingly risky to operate. But replacing them overnight is rarely realistic — the business depends on them, and a botched migration can be catastrophic. We use the strangler fig pattern to modernize incrementally, replacing components one at a time while the existing system continues to run.
The process starts with an assessment and planning phase where we map every component of your existing system and classify each one: keep, replace, or retire. We identify the highest-value migration targets — the modules that cause the most maintenance burden or block the most feature requests — and build a sequenced roadmap that delivers value at every stage.
Database migration is often the most challenging piece. We execute zero-downtime schema changes using expand-and-contract patterns, shadow writes for data verification, and automated transformation scripts that handle format differences between old and new schemas. Your data is validated at every step, and rollback procedures are tested before the migration begins.
We take an API-first approach to modernization, wrapping legacy systems with modern REST or GraphQL APIs that new services can consume. This lets your team start building against clean interfaces immediately while the underlying migration happens transparently. The gradual cutover process includes parallel running — where both old and new systems process requests simultaneously and outputs are compared — giving you confidence that the new system behaves identically before the old one is retired.
Our primary backend languages are Node.js with TypeScript and Go. We use Node.js and TypeScript for the majority of projects — it offers excellent developer productivity, a massive ecosystem of libraries, and strong type safety that catches bugs before they reach production. For performance-critical services that need to handle extremely high throughput or concurrency, we use Go, which compiles to native binaries and provides lightweight goroutine-based concurrency. We choose the language based on your project's specific requirements and your team's existing expertise.
Yes. We use the strangler fig pattern to replace legacy components incrementally while the existing system continues to operate. New features are built on modern infrastructure, and legacy modules are migrated one at a time with parallel running to verify correctness. Database migrations use expand-and-contract strategies and shadow writes to ensure zero downtime. Every cutover includes automated rollback procedures that have been tested before the migration begins. Your users and customers will not experience any interruption during the transition.
Reliability starts with architecture — we design APIs with proper error handling, retry logic, circuit breakers, and graceful degradation so individual failures do not cascade through the system. Every API endpoint includes input validation, rate limiting, and authentication. For performance, we implement caching strategies with Redis, optimize database queries with proper indexing and query planning, and load test critical endpoints before launch. Post-deployment, we set up monitoring and alerting for response times, error rates, and throughput so issues are caught and resolved before they affect users.
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