Services
Five disciplines, one engineering team. We design, build and run the software, AI, data and cloud systems behind growing businesses.
Custom platforms, internal tools and APIs, built for performance, maintainability and scale. We replace fragile workarounds with software your team can rely on and extend.
Applied machine learning, LLM integrations and automation designed around real business workflows, with the evaluation and human oversight that production use requires.
Pipelines, warehouses and analytics foundations that turn scattered data into reliable decisions, and prepare it for AI.
Cloud architecture, infrastructure as code and DevOps for systems that stay secure, observable and cost-aware as they grow.
End-to-end product engineering, from first release to multi-tenant platforms with billing, analytics and the operational tooling a subscription business needs.
Approach
Every engagement follows the same five stages. Each one has a clear input and a clear output, so you always know where the work stands.
We map goals, users, constraints and existing systems before proposing anything.
We design the system: data flows, integrations, infrastructure and the trade-offs behind them.
We build in short, reviewed iterations with automated testing from the first commit.
We connect the new system to your data, tools and teams, and deploy it safely.
We monitor, measure and improve the system as the business grows.
Engagements
A focused two to four week engagement to define the problem, assess existing systems and produce an architecture and delivery plan.
A defined scope delivered end to end, from architecture to production, in reviewed iterations with regular demos.
An ongoing CinderTek team that builds, operates and evolves your systems alongside your own people.
Describe the problem instead. We will tell you honestly how we would approach it.