Seamlessly connect disparate systems, ERP, CRM, and third-party APIs. Build API-first architectures with event-driven messaging, ensuring real-time data synchronization across your enterprise.
Our system integration services include cutting-edge technologies and best practices
Design and build RESTful and GraphQL APIs with comprehensive documentation. Implement API gateways for rate limiting, authentication, caching, and request routing. Follow API-first design principles.
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Use Case: Client created unified API layer for 7 backend systems reducing integration time by 85%
Implement real-time and batch data synchronization using CDC (Change Data Capture), ETL pipelines, and event-driven architecture. Ensure data consistency across systems with conflict resolution.
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Use Case: Client achieved real-time inventory sync across 12 locations eliminating stockouts
Integrate with legacy systems using APIs, message queues, or database connectors. Migrate gradually using strangler fig pattern. Wrap legacy functionality in modern interfaces.
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Use Case: Client modernized 20-year-old ERP without disrupting operations
Connect ERP (SAP, Oracle), CRM (Salesforce, HubSpot), and business systems using iPaaS platforms. Implement standard integration patterns (publish-subscribe, request-reply, routing).
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Use Case: Client integrated SAP with Salesforce eliminating manual order entry
Deploy message brokers and event streaming platforms for asynchronous communication. Implement event sourcing, CQRS pattern, and real-time data pipelines with exactly-once semantics.
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Use Case: Client processed 5M events/day with <100ms latency using Kafka
Implement webhooks, push notifications, and real-time updates using WebSocket and Server-Sent Events. Keep all systems synchronized with immediate data propagation.
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Use Case: Client provided live order tracking updates reducing support calls by 40%
Why choose our system integration services
Automate data flows between systems eliminating copy-paste errors and manual entry tasks. Reduce administrative overhead and improve data accuracy across organization.
Achieved: 95% automation
Example: Client saved 40 hours/week of manual data entry work
Achieve near-instantaneous data propagation across all connected systems. Enable real-time decision-making and eliminate stale data inconsistencies.
Achieved: Sub-second sync
Example: Client sees inventory changes in all systems within 1 second
Consolidate data from CRM, ERP, marketing, and support systems into unified customer profile. Enable personalized experiences and comprehensive customer analytics.
Achieved: Single source of truth
Example: Client increased cross-sell by 35% with unified customer data
Build event-driven, loosely coupled architectures that scale independently. Add new systems and integrations without disrupting existing ones.
Achieved: Modular growth
Example: Client added 8 new integrations in 6 months
Use open-source middleware, API gateways, and integration platforms. Eliminate expensive proprietary solutions and reduce maintenance overhead.
Achieved: 40-60% cost reduction
Example: Client replaced $500K/year middleware with $80K open-stack solution
Keep existing systems running while integrating them. Use APIs and message queues to decouple systems, allowing independent upgrades and replacements.
Achieved: Zero disruption
Example: Client upgraded ERP without affecting 10 integrated systems
We follow a proven methodology to deliver exceptional results
Catalog all systems, identify data flows, document APIs and integration points, assess legacy constraints, and map data schemas. Create integration inventory and dependency matrix.
Design integration patterns (API-first, event-driven, ESB), select middleware stack, define message formats (JSON, Avro, Protobuf), establish security standards, and create data mapping specifications.
Build APIs, configure message brokers, implement data pipelines, set up webhooks and notifications, develop connectors for legacy systems, and establish error handling and retry logic.
Test all integration points, verify data accuracy and timeliness, load test with production volumes, validate error scenarios and rollback procedures, and conduct end-to-end workflow testing.
Deploy integration infrastructure, configure monitoring and alerting, execute phased cutover, validate production data flows, and train operations team on monitoring dashboards.
Monitor message latency, error rates, and data consistency. Track SLA compliance, optimize message throughput, handle integration failures, and continuously improve based on metrics.
Let us help you connect and streamline your business systems.