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Systems integration and API development

We connect the applications, databases, cloud services, and business platforms your organization depends on, so data moves reliably and processes don't stop at system boundaries.

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Common integration problems

  • The same information typed into two or three systems
  • Nightly exports and spreadsheets holding a process together
  • A vendor platform with an API nobody has had time to use
  • Integrations that fail silently until a customer notices
  • Point-to-point scripts that no one wants to touch
  • No single place to see a process that spans several systems

What we build

  • REST APIs built to last

    Consistent resource design, versioning, clear error responses, and documentation that other teams can build on.

  • Platform-to-platform integrations

    Connections between business applications, SaaS platforms, and internal systems.

  • Data synchronization

    Records kept consistent across systems, with conflict handling and an audit trail.

  • Events and webhooks

    React to changes as they happen instead of waiting for a batch job.

  • Shared authentication and authorization

    Consistent identity and access control across applications and APIs.

  • Cloud service integration

    AWS services such as Amazon S3 for storage, file handling, and data exchange.

Integrations you can operate

An integration isn't finished when data flows once. It has to keep working as the systems on either side change, and someone has to know when it stops.

  • Retries and idempotent processing, so a failure does not create duplicates
  • Structured logs you can search by record or request
  • Alerts when an integration stops or falls behind
  • A written contract for every interface between systems
  • Tests that exercise the integration with realistic data

Typical technology

Languages
  • C# and .NET
  • Python
  • TypeScript
  • Rust
Data
  • PostgreSQL
  • SQL Server
Platforms
  • REST APIs
  • AWS
  • Amazon S3
  • Docker
  • Linux

  • AI and automation

    AI, workflow automation, and governed execution applied where they remove repetitive work, with people kept in control of consequential decisions.

  • Application modernization

    Legacy applications moved forward in stages: new interfaces and APIs, better data architecture, and modern deployment, without a risky rewrite.

  • Custom software development

    Business applications, portals, and SaaS products designed around your real workflows, so the business does not have to bend to generic software.

Have systems that should be talking to each other?

Tell us which systems are involved and where information gets stuck. We'll map the integration and the simplest dependable way to build it.

Discuss a project