Services

Engineering services and deliverables

We describe each service through the problem it addresses, the teams that use it, and the work we deliver. The exact scope depends on the existing system and its constraints.

01 / 06

Custom Software Development

Software engineering for products that must handle real users and production workloads.

TypeScriptGoRustPostgresKubernetes
The problem

An idea or prototype needs to become a reliable, maintainable system that a team can monitor and operate. Standard tools may not fit the requirements, and fragmented outsourcing can leave ownership of the code unclear.

Who it's for

Founders turning a prototype into a product, and teams replacing systems that no longer meet their needs.

What you get

A tested, documented codebase your team can operate and extend, with a clear architecture, observability, and delivery practices designed to limit rewrites as it grows.

02 / 06

Artificial Intelligence & Machine Learning

Production ML, covering data and feature pipelines, model serving, and evaluation.

PythonPyTorchONNXRayFeature stores
The problem

A model that works in a notebook may fail in production. Input data changes, latency constraints become critical, and performance needs to be measured over time. Moving from a demo to an operational ML system requires additional engineering.

Who it's for

Teams with a promising model to deploy, or a business problem for which machine learning may be appropriate.

What you get

A deployed, monitored ML system with a feature pipeline, an evaluation framework, and impact measurements that support continued improvement.

03 / 06

Technical Architecture

Early architecture choices affect maintenance and change for years.

Event-drivenData modelingPlatform designCloud-native
The problem

Early architecture choices influence the cost of every later change. Poor service boundaries or data models can make new features harder to implement as the system grows.

Who it's for

CTOs and founders facing a major rewrite, limits on scaling, a platform decision, or a migration that requires careful planning.

What you get

Documented architecture with explicit trade-offs, including the data model, service boundaries, platform foundations, and an implementation plan organized into stages.

04 / 06

Research & Development

Prototypes and measurements to assess technical feasibility before a larger commitment.

PrototypingBenchmarkingFeasibility studiesApplied research
The problem

Some technical questions need testing before a detailed plan is possible. Building a full system around an unproven approach is expensive; a prototype helps assess feasibility before committing.

Who it's for

Innovation teams and founders investigating technical questions that could change their development plans.

What you get

A focused prototype and evidence on technical feasibility, sufficient to decide whether to proceed, change course, or stop without committing the roadmap to a guess.

05 / 06

Automation & Integration

Integrations that reduce manual transfers between systems already in use.

APIsEvent pipelinesWorkflow orchestrationObservability
The problem

Teams spend hours transferring information manually between disconnected tools. The process is often understood, but its repeated execution still takes time and creates errors.

Who it's for

Operations and engineering teams handling repetitive tasks prone to manual errors and suitable for automation.

What you get

Integrations and automations that replace manual steps, with monitoring to detect failures and confirm they keep running.

06 / 06

Technical Consulting

Technical advice for decisions with lasting consequences.

Due diligenceArchitecture reviewTechnical strategyTeam design
The problem

Platform selection, build-versus-buy decisions, technical due diligence, and hiring plans can be difficult to reverse. We provide technical analysis without requiring a permanent hire.

Who it's for

Founders, CTOs, and investors seeking experienced technical input on a specific, consequential decision.

What you get

An evidence-based recommendation with documented reasoning, so you can review the trade-offs and make a decision.

Not sure which service applies?

Many projects involve more than one service. Describe the problem, and we’ll outline a technical approach.