AI/ML Integration
Data API Integration Services
Connect your applications, partners and data platform through reliable, secure APIs.
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.
- REST, GraphQL and webhook integrations with SaaS and partner systems
- Data APIs that expose curated data safely to apps and partners
- Monitoring, retries and versioning for dependable data flow
Platforms and tools we use
Azure Logic Apps
n8n
Node.js
.NET
Python
Product names and logos are trademarks of their respective owners and indicate technologies we work with, not partnerships or certifications.
Business challenges
Business problems data integration solves
Staff copy data between systems
Integrations move orders, customers, invoices and stock levels automatically, with fewer errors.
Systems disagree with each other
Synchronised data means the CRM, ERP and website show the same information.
Partners need access to your data
Secure, documented APIs let partners and customers connect without manual file exchange.
AI models work on stale data
Live integrations feed models and dashboards with current information.
What we deliver
Data and API integration capabilities
We design integrations to be observable and easy to change, so one failing system does not quietly break the rest.
SaaS and partner integrations
Connect CRM, ERP, payment, logistics and marketing platforms through their APIs.
DeliverableTested connectors with error handling
Data APIs
Secure REST or GraphQL APIs that expose curated datasets and model outputs to applications.
DeliverableDocumented API with authentication
Webhooks and event-driven sync
Near-real-time updates between systems using webhooks, queues and change events.
DeliverableEvent-driven synchronisation flows
Data synchronisation
Scheduled and incremental sync with conflict handling and reconciliation reports.
DeliverableSync jobs and reconciliation reports
API security and governance
OAuth, API keys, rate limits, versioning and access policies managed in an API gateway.
DeliverableGateway configuration and policies
Integration monitoring
Dashboards and alerts for failed calls, slow responses and data mismatches.
DeliverableIntegration health dashboard
Solution architecture
A managed integration layer between your systems
Instead of point-to-point scripts, integrations run through one managed layer with shared security, retries and monitoring.
Systems
- SaaS applications
- ERP and CRM
- Partner platforms
Connectors
- API clients
- Webhooks
- File and database adapters
Integration layer
- Transformation and mapping
- Queues and retries
- Orchestration
API gateway
- Authentication
- Rate limits and versioning
- Developer documentation
Consumers
- Apps and portals
- Data platform
- AI services
Platforms and tools
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.
Industry use cases
Integration use cases by industry
Illustrative use case
Logistics
connecting order, warehouse and carrier systems for real-time tracking.
These are typical applications of this service, not descriptions of completed client projects.
Delivery approach
How we deliver an integration project
- STEP 01
Mapping
We list the systems, data objects and the direction and frequency of each flow.
Output: System and data-flow inventory
- STEP 02
Design
We choose the pattern (API, event, batch) and define data mappings and error handling.
Output: Integration architecture and API design
- STEP 03
Build
Connectors and APIs are developed with automated tests.
Output: Tested integrations and contracts
- STEP 04
Test
End-to-end tests with real scenarios, including failures and retries.
Output: Production release with monitoring
- STEP 05
Run
Monitoring and alerting for failed or delayed transfers, plus documentation.
Output: Support and new connectors
Why Prominent AI
Why choose Prominent AI
Reliable integrations with retries, logging and alerts
Clear OpenAPI documentation for every API we build
Security built in with modern authentication
Experience across Microsoft, cloud and open-source stacks
Engagement models
Choose how you work with us
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.
Defined-scope project
A fixed-scope data api integration engagement with agreed deliverables and acceptance criteria.
- Agreed scope and milestones
- Fixed price per phase
- Documentation and handover
Dedicated specialists
Experienced engineers who join your team and work in your tools and processes.
- Specialists matched to your stack
- Flexible team size
- Your backlog, our engineers
Ongoing support
Monitoring, improvements and new features after go-live.
- Monitoring and incident response
- Enhancements and retraining
- Regular performance reviews
FAQs
Data API Integration FAQs
Answers to common questions about scope, platforms, timelines and support. Ask us anything else.
Can you handle APIs with rate limits?
Yes. We implement caching, queuing, retries and incremental syncs to work within provider limits reliably.
What are AI-driven API responses?
APIs that return predictions or recommendations, such as dynamic pricing or personalised results, generated by models in real time.
Do you document the APIs you build?
Yes. We deliver OpenAPI specifications, examples and developer documentation.
How much does an API integration cost?
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.
How long does it take to integrate two systems?
A straightforward integration between two systems with documented APIs often takes two to four weeks. Legacy systems without APIs take longer.
Can you integrate legacy systems that have no API?
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.
What happens when an integration fails?
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.
Related services
Related services
Data Engineering
Build robust data pipelines and architectures to power analytics and AI.
Real-Time Data Monitoring
Detect anomalies and respond instantly with streaming data insights.
Enterprise AI Integration
Upgrade your CRM, ERP, or business apps with AI-powered features.
Model Fine-Tuning & Optimization
Fine-tune and optimise AI models for accuracy, speed and cost.
Start a conversation
Make your systems share data reliably
Tell us which systems need to exchange data and how often. We will propose an integration design and delivery plan.
- A reply from a specialist, not a sales script
- Recommended approach for your situation
- Phased plan with clear deliverables
Prefer email? biz@prominent.tech · +91-96974 96976