Software for problems that matter.
Consulting, development, modernization, and automation with applied AI—each engagement focused on what works in production and lasts.
What we offer
Each engagement adapts to your context. Scope, rhythm, and depth are defined together.
Consulting & Architecture
What it includes
- Technical discovery: stack audit, constraints, and risk identification
- System design: component structure, data flows, and integration points
- Engineering standards: testing, observability, deployment, and review process
Typical outputs
- Architecture decision records (ADRs) and diagrams
- Prioritized technical roadmap
- Kickoff-ready scope document
Good fit when…
- You're starting a new product and need the architecture to hold under growth
- Your current stack is slowing delivery and you need a clear diagnosis
Custom Development
What it includes
- Web applications: full-stack, frontend-heavy, or API-first
- APIs and backend services: REST, GraphQL, event-driven
- Third-party integrations: payment, communication, data, and identity providers
Typical outputs
- Production-ready codebase with tests and CI/CD pipeline
- Technical documentation and handoff guide
Good fit when…
- You have a defined scope and need extra capacity to build it right
- You need a working product fast without cutting corners on quality
Systems Modernization
What it includes
- Legacy audit: bottlenecks, risks, and coupling analysis
- Incremental migration strategy: module-by-module or parallel-run approaches
- Performance, reliability, and observability improvements
Typical outputs
- Measurable reduction in technical debt and deployment risk
- Safer, faster releases with better visibility into system behavior
Good fit when…
- A legacy system is creating delivery risk or blocking the team
- You need to modernize without a big-bang rewrite or extended downtime
Automation
What it includes
- Workflow automation: multi-step processes, approval flows, and notifications
- Internal tools: admin dashboards, ops utilities, and reporting systems
- Integrations and scripts: sync, transform, or trigger across systems
Typical outputs
- Documented, observable workflows with proper error handling
- Reduced manual work—measurable hours saved per week
Good fit when…
- Manual steps are slowing your team or consistently introducing errors
- You know what to automate but don't have the bandwidth to build it
Applied AI
What it includes
- AI agents and internal copilots: support, operations, and knowledge retrieval
- Document processing: extraction, classification, and structured output
- Semantic search over internal data—documents, emails, knowledge bases
Typical outputs
- Reliable, evaluated AI features with observability and fallback paths
- Reduced manual review time and faster information retrieval
Good fit when…
- You have a specific problem where AI demonstrably improves the outcome
- You want AI built with evaluation and human-in-the-loop from the start
How we structure the work.
Three models that match different stages and levels of commitment. Each is scoped clearly before work starts.
Discovery & technical assessment
A timeboxed engagement to clarify the problem, audit the current state, and define a realistic path forward—before committing to a build.
Typical outputs
- Stack and risk audit
- Architecture recommendations and trade-offs
- Prioritized technical roadmap
- Scope document ready to kick off
Pilot
A focused build with a defined, measurable outcome. Typically 4–8 weeks. Proves value before a longer commitment.
Typical outputs
- Production-ready feature or module with tests and CI/CD
- Defined success metric met and documented
- Handoff guide and deployment runbook
Retainer
Ongoing engineering support: new features, improvements, integrations, and reliability work at a predictable monthly pace.
Typical outputs
- Regular delivery of agreed features and improvements
- Monthly progress summary and updated roadmap
- Incident support and reliability monitoring as agreed
Simple, direct, iterative.
Four steps that keep work visible and decisions shared.
Discovery
We start by understanding the problem, not solving it. Stack audit, constraints, goals, risks—before any line of code.
Architecture & scope
We define the right approach, agree on boundaries, and document decisions. A realistic plan beats an optimistic estimate.
Build & iterate
Short delivery cycles. Each increment is production-quality. You see progress early—we adjust when reality changes.
Operate & hand off
Observability, documentation, and a clean handoff baked in. Ownership and access are defined upfront.
We can share references or more context (including NDA work) in a call.
Want to talk it through?
Tell us what you're building and what stage you're in. We'll quickly tell you if we can help—and how.