ReinstateLabs — systems that earn their keep
ReinstateLabs designs and builds software, AI systems, cloud infrastructure and automation for companies that need technology to work in production — not in a demo.
- AI Systems
- Software Engineering
- Digital Products
- Cloud Architecture
- Automation
- Data Platforms
- Machine Learning
- Internal Tools
- Design Systems
- Infrastructure as Code
01What we do
Five practices, run by one team. Most projects use more than one.
Capabilities
Full capability index02Position
What we believe about building software, stated plainly.
How ReinstateLabs approaches technology
Technologyshouldremovecomplexity,notaddtoit.Webuildsystemsthatareusefulondayoneandstillmaintainableinyearthree.
03Process
Five stages. The same shape whether the engagement runs six weeks or a year.
From problem to production
- 01
Discover
01Discover
We start with the people doing the work. Interviews, a read of the existing systems, and an honest list of what is slow, brittle or expensive — before anyone proposes a solution.
- Stakeholder interviews
- System audit
- Constraint map
- 02
Define
02Define
Scope gets sharp here. We agree what the system must do, what it will deliberately not do, how success is measured, and what the first release looks like.
- Scope & success metrics
- Technical strategy
- Release plan
- 03
Design
03Design
Data model, service boundaries, interface and interaction are designed as one piece of work. Decisions are recorded with their reasoning so they can be revisited, not re-argued.
- Architecture & data model
- Interface design
- Decision records
- 04
Build
04Build
Short cycles against a working environment. You see the real thing early and often, with automated tests and review gates carrying the quality rather than a checklist at the end.
- Working increments
- Automated test suite
- Review cadence
- 05
Scale
05Scale
Release with instrumentation from day one. We tune what the data says is slow or costly, document the operational path, and hand over cleanly — or stay on as your engineering bench.
- Deployment & rollback
- Observability
- Runbooks & handover
04Technology
The stack we work in
We are not tied to a single vendor. These are the tools we reach for most often, chosen because they are proven, well documented and easy to hire for.
- 01Languages
- TypeScriptPythonGoSQLRust
- 02Interfaces
- ReactNext.jsTailwind CSSMotionDesign Systems
- 03Services
- Node.jsFastAPIGraphQLgRPCEvent Queues
- 04Data
- PostgreSQLMongoDBRedisClickHouseVector Stores
- 05Intelligence
- PyTorchOpenAIAnthropicComputer VisionClassical ML
- 06Platform
- AWSDockerKubernetesTerraformGitHub Actions
Selection is a decision, not a habit. If your team already runs something that works, we build with it rather than around it.
Next step
Have an idea worth building?
Tell us the problem in plain language. We will tell you honestly whether we are the right team to solve it, and what it would take.