Data and API integration connects your applications, databases and third-party services so data flows between them automatically and securely, removing manual exports and re-typing and giving analytics and AI systems up-to-date information.
Modern businesses depend on data from many partners and platforms. We integrate external APIs, normalise and enrich the data, and expose unified, AI-enhanced APIs that power your products, pricing and analytics.
Connect to and process data from multiple APIs for unified insights. At Prominent AI Services LLP, we deliver data API integration end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Connect to and process data from multiple APIs for unified insights.
Ideal for: Aggregators, Marketplaces, Travel. We assess your current data flows and model operations, design an integration and MLOps architecture, automate deployment pipelines and set up monitoring dashboards and alerts for data and model health.
We build REST and GraphQL APIs in ASP.NET Core, Node.js and Python (FastAPI), and use webhooks, message queues and event streams for real-time flows. For data movement we use Azure Data Factory, Microsoft Fabric pipelines and AWS Glue, and for workflow integration Power Automate and Logic Apps (see Power Platform). APIs are secured with OAuth 2.0, documented with OpenAPI and published through an API gateway.
Choose a fixed-scope integration, or hire .NET developers, ETL developers or data engineers to join your team. For larger data platforms, see data engineering; for streaming alerts, see real-time data monitoring.
Tired of moving data by hand? List the systems you want connected, and we will propose an integration plan. Start your AI journey.
Last updated: October 2026 · Prominent AI Services LLP engineering team
Common questions about our Data API Integration services.
Yes. We implement caching, queuing, retries and incremental syncs to work within provider limits reliably.
APIs that return predictions or recommendations, such as dynamic pricing or personalised results, generated by models in real time.
Yes. We deliver OpenAPI specifications, examples and developer documentation.
Cost depends on the number of systems and data flows, the quality of the existing APIs and real-time requirements. A single integration between two systems with good APIs is a small, fixed-price project.
A straightforward integration between two systems with documented APIs often takes two to four weeks. Legacy systems without APIs take longer.
Yes. We can read from databases, files or scheduled exports, or build a small API layer in front of the legacy system so other applications can use it safely.
Failed messages are retried automatically, logged and, if they still fail, sent to an error queue with an alert, so no data is silently lost.