Product Engineering
API Development & Integration Services
Every system that calls your API is betting it won't change under them. We design the contract first - schema, auth, errors, versioning - agree it with the teams who will consume it, then build, secure and document REST and GraphQL APIs against it. Standalone, or as the integration layer of a full-stack build.
HOW IT RUNS
How an API gets built
Four phases. The first ends with a contract every consumer has signed off; the other three build to it.
Contract & Architecture
The contract, auth model, error model and versioning policy are fixed against the systems the API must talk to, then reviewed with the consuming teams. Traffic shape and compliance load are mapped, so the architecture fits the scale it will meet.
DELIVERABLES
- API contract, reviewed by its consumers
- Auth and error model
- Versioning and deprecation policy
- Integration point map
- Upstream access and sandbox checklist
- Recommended stack with rationale
What We Build
API development and integration, built around the systems you already run
Standalone APIs, or the integration layer of a larger build. Most engagements start with design and partner integrations, then add the rest as each integration point is confirmed.
REST & GraphQL API Design
Endpoints and schemas shaped by what callers actually query, not a CRUD wrapper around your database.
Third-Party & Partner Integrations
Payment processors, identity checks, CRMs and vendor platforms connected through one contract instead of brittle point-to-point glue.
API Security & Authentication
OAuth2, scoped API keys, rate limits and idempotency keys, designed in before the first request rather than after the first incident.
Multi-Source Data Pipelines
Data from internal, partner and third-party sources ingested, enriched and served behind one stable interface, including AI-enriched and retrieval endpoints.
API Documentation & Versioning
An OpenAPI spec, an error-code catalogue and a deprecation policy agreed before launch, so consumers know what changes and when.
Monitoring, Rate Limits & Performance Tuning
Load-tested against expected traffic, with latency and error-rate alerts that fire before a partner has to file a ticket.
Our Methodology
The contract comes before the code
A breaking change after a partner has integrated costs far more than getting the contract right the first time. So the contract, the auth model and the versioning policy are agreed before implementation starts.
Spec Signed, Then Code
The spec is reviewed with the calling team before an endpoint is built. Both sides build to the same document.
Backward Compatibility by Policy
How long old versions live, and how breaking changes are announced, is written down before the first one is needed.
Threats Considered on Paper
Who may call what, how often, and what happens on a retry are settled on paper before any endpoint goes live.
Tested Against Real Systems
Every integration is exercised against the partner's own sandbox, because a mock can only confirm your assumptions.
API Engineering Practice
APIs built for peak traffic and partial failure
Light traffic flatters an API. Peak load exposes it, and a field renamed in staging can break every consumer at once.
Three architecture decisions separate the two: the versioning scheme, the behaviour when a downstream service is unavailable, and the response when a caller exceeds its quota.
Built on open standards. REST, GraphQL and OpenAPI throughout, with no proprietary framework your team would need us to maintain.
API Versioning Strategy
A written deprecation and versioning policy, so consuming teams get a migration window instead of a surprise.
Code Quality Standards
Endpoints reviewed, documented and tested as they're written, so traffic growth doesn't expose the shortcuts.
Documentation
Contract, auth decisions and version history recorded in the spec, not in one engineer's memory.
Security by Design
Authentication, data handling and access control scoped in architecture, not left on a pre-launch checklist.
Performance Benchmarking
Load tests built from expected traffic patterns, including the burst a partner will eventually send.
Compliance Readiness
For financial, health or identity data, the obligations you operate under are written into the contract from the start.
Technology Stack
The API toolkit
Language, runtime and datastore are picked for the payloads, the volumes and the latency each API has to meet.
REST / GraphQL
REST for straightforward resource APIs; GraphQL where clients need flexible queries across nested data.
REST / GraphQLNode.js / Python
Services that ingest, transform and expose data, in batch or live.
AWS · Azure · GCPOpenAI API / Vectara
AI-enriched search and content endpoints, with retrieval kept behind a stable contract.
OpenAI API / VectaraPostgreSQL / MongoDB
Relational data in PostgreSQL; flexible or document-shaped data in MongoDB.
PostgreSQL / MongoDBChosen per integration. The stack follows each integration's traffic and data shape, whether it's a standalone API or part of a full-stack build.
Cloud & DevOps
Docker
KubernetesAuth & Security
CI/CD
GitHub
Actions
JenkinsWhere It Breaks
Why API and integration projects run over
Integrations get estimated as if they were features. Most overruns trace back to a decision the contract should have made.
Glue Code Everywhere
Bespoke glue for every partner means nothing is reused, and the tenth connection costs more than the first.
Every Team, Its Own Conventions
Each team ships its own conventions until no one can tell which partner depends on which version.
Waiting on Access
Upstream credentials, partner sandboxes and data owners turn up late, and the build stalls. The access checklist belongs in the first conversation.
Why Us
How we build APIs
How to tell a partner that designs contracts from one that just ships endpoints.
01
Contract Agreed Before Code
The contract, auth model and versioning policy are settled up front, with the teams who will actually call the API.
02
No Proprietary Framework
Widely known protocols and specs, so any competent engineer can maintain what we leave behind.
03
Tested Against Real Systems
Integration tests call each partner's sandbox with data shaped like production, so surprises arrive before launch.
04
Operations Handed Over Cleanly
Keys, secret rotation, gateway configuration and on-call are assigned and documented before launch.
Vertical Focus
Integration work where a failed call is expensive
Industries where an API outage stops a payment, a prescription or a production line.
Clinical data exchange
- Patient intake and scheduling integrations
- Consent-aware patient data exchange
- EHR and clinical workflow connections
- Telehealth and remote monitoring feeds
- Lab and diagnostic system integrations
Financial-grade integration layers
- Real-time transaction and fraud-alert feeds
- KYC and identity verification flows
- Portfolio and market data feeds
- Audit trails and regulatory reporting
- Payment and account SDK integrations
Vehicle and dealer integration APIs
- Telemetry and diagnostics pipelines
- Dealer inventory and CRM integrations
- Fleet and route-optimisation feeds
- Service and booking integrations
- Parts and supply-chain tracking
ERP and IoT integration layers
- Production dashboards synced to the floor
- ERP and inventory integrations
- IoT data pipelines for maintenance
- MES and quality-system connections
- Dispatch and supply-chain integrations
Integration APIs for field conditions
- Field data collection for remote teams
- Crop and yield monitoring feeds
- Offline-first sync for weak connectivity
- Sensor and IoT pipelines for farms
- Seasonal planning integrations
APIs built around how people buy
- Product discovery and recommendation services
- Checkout and payment gateway integrations
- Inventory and order management integrations
- Loyalty and personalisation feeds
- Order tracking and fulfilment integrations
FAQs
API development, answered
Any part of the lifecycle: contract, build, security, partner connections, docs and monitoring. The first phase fixes which parts are in.
Both. REST suits straightforward resources; GraphQL suits clients that need flexible queries across nested data. What the consumers need decides it.
Yes: payment processors, identity services, CRMs, legacy internal systems and other platforms. Where an existing connector or integration platform already does the job, it is often the better choice over a custom build.
Access to the upstream systems, sandbox credentials from each third party, and a named data owner for every integration. These are the usual schedule killers, so the contract phase lists them first.
The API contract, the code, the OpenAPI documentation, the test suites, the dashboards, and runbooks for key rotation and gateway configuration.
With a deprecation policy agreed before launch: how long old versions stay live, how consumers are told, and how they migrate. Breaking changes ship as new versions that run alongside the old ones.
Ready to
agree the contract first?
Tell us what needs to talk to what. We'll map the integration points, draft the contract with your consuming teams, and list the access we need before any code is written - for one endpoint or a full integration layer.
Have a project in mind?
Bring the problem. The first call is about specifics, not slides.