Engineering services for teams that care about quality.

Business problem

Your roadmap is growing faster than your team.

Hiring senior engineers in the US takes months, and every open seat pushes delivery further out. Contractors from marketplaces are hard to vet and rarely stay long enough to understand your codebase.

Our solution

Engineers who behave like part of your team.

We provide experienced engineers who work inside your process — your standups, your pull request reviews, your definition of done — with direct access to our technical leadership when you need it.

Technical capabilities

• Backend engineers
• Frontend engineers
• Full-stack engineers
• Cloud engineers
• DevOps engineers
• QA engineers
• Scrum and Kanban
• Pull request reviews
• Your branching strategy
• Documentation as code

Typical use cases

• Accelerate a product roadmap
• Fill a specialist gap
• Support a software agency

Business problem

Business-critical backends need more care than they get.

Core systems grow for years. Teams are stretched between new features and keeping older code stable, and finding senior backend engineers takes time.

Our solution

Senior engineers with a bias for maintainable code.

We bring practical architecture, consistent conventions, and automated testing to new and existing backends — so the system is easier to change next year than it is today.

Technical capabilities

• REST and event-driven APIs
• Service and domain design
• Authentication and authorization
• Background jobs and queues
• Relational and document databases
• Data modeling
• Query performance
• Automated testing
• CI/CD
• Observability

Typical use cases

• New line-of-business platform
• API layer for an existing product
• Ongoing product development

Business problem

Front ends get harder to change as they grow.

Without clear structure, front-end codebases accumulate duplicated components, tangled state, and slow pages. Every new feature takes longer than the last.

Our solution

Component architecture with long-term ownership in mind.

We structure applications around reusable components, predictable data flow, and typed API contracts — and we test the parts users depend on.

Technical capabilities

• Single-page and server-rendered apps
• Component libraries
• State and data management
• Authentication flows
• Accessibility
• Responsive design
• Performance budgets
• Design-to-code collaboration
• Component testing
• End-to-end testing

Typical use cases

• SaaS product front end
• Design system rollout
• Microfrontend migration

Business problem

Legacy applications become expensive and difficult to maintain.

Older frameworks lose support, security updates become harder, and the few people who understand the system become a bottleneck. A full rewrite feels too risky — so nothing changes.

Our solution

Modernize in slices, not in one big bang.

We assess the current system, identify the highest-value and highest-risk areas, and modernize them incrementally behind stable interfaces — adding automated tests as we go.

Technical capabilities

• Framework and runtime upgrades
• Front-end rewrites in stages
• Monolith decomposition
• API extraction
• Database performance tuning
• Schema refactoring
• Database migrations
• Cloud migration
• Containerization
• CI/CD introduction

Typical use cases

• Framework upgrade
• Front-end modernization
• Move to the cloud

Business problem

AI prototypes rarely make it to production.

A demo is easy. Integrating AI into real systems — with your data, permissions, costs, and reliability requirements — is an engineering problem most teams have not solved yet.

Our solution

AI features engineered like any other production system.

We start with a specific business workflow, choose an approach that fits your data and risk profile, and build it with evaluation, monitoring, and cost controls from day one.

Technical capabilities

• LLM API integration
• Retrieval-augmented generation (RAG)
• Structured data extraction
• Tool and function calling
• Workflow automation
• Integration with existing systems
• Commercial LLM APIs
• Vector search
• Prompt and output evaluation
• Usage and cost monitoring

Typical use cases

• Internal knowledge assistant
• Intelligent document processing
• AI features in your product

Business problem

Off-the-shelf tools only go so far.

As a business grows, spreadsheets, disconnected SaaS tools, and manual processes start to limit what the team can do. The right custom software removes that friction.

Our solution

Focused, well-architected software delivered in increments.

We define the smallest valuable release, build it with a maintainable architecture, and iterate with you based on real usage.

Technical capabilities

• Web applications
• Internal platforms
• APIs and services
• Admin and reporting tools
• Third-party SaaS integrations
• Message-based workflows
• Authentication and SSO
• Data synchronization
• Cloud hosting
• CI/CD

Typical use cases

• Customer portal
• Operations platform
• System integration

Business problem

Manual deployments and drifting environments slow everyone down.

When infrastructure is configured by hand and releases depend on a checklist, deployments become rare, risky events — and cloud bills grow without clear ownership.

Our solution

Everything in code. Every change through a pipeline.

We define infrastructure as code, automate build, test, and deployment, and review your cloud footprint for cost and reliability improvements.

Technical capabilities

• Cloud architecture
• Managed services
• Containers
• Serverless
• Secrets management
• Infrastructure as Code
• CI/CD pipelines
• Release strategies
• Environment management
• Monitoring and alerting

Typical use cases

• Pipeline modernization
• Cloud landing environment
• Cloud cost review

Business problem

Manual testing does not scale with your release pace.

As products grow, regression testing takes longer, releases slow down, and bugs slip through anyway. Quality becomes a bottleneck instead of a habit.

Our solution

Quality built into the pipeline.

We identify your highest-risk flows, automate them first, and integrate tests into CI so every change is checked before it ships.

Technical capabilities

• End-to-end UI testing
• API testing
• Unit and integration testing
• Regression suites
• Test strategy
• Code review standards
• Static analysis
• Quality gates

Typical use cases

• Regression automation
• API test coverage
• Embedded QA engineer