Reliable data and integrations behind every useful product.
We design database structures, application APIs and third-party integrations that keep information consistent, secure and available to the workflows that depend on it.
API development and integration services
Choose Database & API Engineering when applications need dependable data models, custom APIs or CRM integrations. Choose Full-Stack Development when the whole product experience also needs to be designed and built.
Capabilities
- MySQL and PostgreSQL schema design
- MongoDB document modelling
- Redis caching and application state
- REST API design and implementation
- Authentication, validation and error handling
- CRM and payment integrations
- Webhooks, retries and asynchronous workflows
- Data migration and transformation
- Query and API performance reviews
Data models based on business rules
Good database design begins with the relationships, constraints and lifecycle of the information. We translate operational rules into structures that support the application while protecting consistency and avoiding duplication that becomes expensive to untangle later.
Relational and non-relational technologies
MySQL and PostgreSQL suit structured, transactional data and clearly defined relationships. MongoDB may suit document-oriented requirements, while Redis can support caching, queues and short-lived application state. Selection follows the workload rather than fashion.
APIs designed as stable boundaries
An API should provide a clear contract between systems. We define resources, validation, authentication, errors, pagination and versioning with both producer and consumer in mind. Documentation and representative examples make future integration safer.
CRM and third-party connections
We connect products with CRM platforms, payment providers, communications services, analytics tools and operational systems. Integration design accounts for rate limits, webhooks, duplicate events, retries and temporary service failures.
Performance, security and observability
Indexes, query patterns, caching and connection handling are reviewed together. Access is limited according to application need, sensitive values remain outside the codebase, and logging helps diagnose failures without unnecessarily exposing protected information.
How we work
We model the data and rules, define API contracts, implement in reviewable stages, connect external systems, test expected and failure conditions, then add the operational visibility required for maintenance.
- Model
- Contract
- Build
- Integrate
- Test
- Observe
Frequently asked questions
Which database should my application use?
It depends on data relationships, transaction needs, query patterns, scaling expectations and team experience. Many business applications are best served by a relational database supported by specialist tools where needed.
Can you integrate with our CRM?
Yes, subject to the CRM API, permissions and account capabilities. We review field mapping, authentication, rate limits, error recovery and ownership of synchronised data.
Do you build REST APIs?
Yes. We design and implement REST APIs for web applications, mobile apps and system integrations, including validation, authentication and documentation.
Can you improve a slow database?
We review queries, indexes, data volume and application behaviour. The fix may involve query changes, indexing, caching, schema work or infrastructure.
How do you prevent duplicate integration data?
The implementation may use stable identifiers, idempotency rules, event tracking and validation. The exact approach depends on the source system.
Need an API, data model or CRM integration to hold up in production?