Software Integration Services

Generic ERP and CRM connectors give you someone else's data model assumptions. We build enterprise system integrations designed around your business processes and master data reality.

• Integrations across SAP, Oracle, Microsoft Dynamics, NetSuite, Salesforce, HubSpot, Workday, and ServiceNow
• Master data management, identity resolution, and reference data synchronization
• Event-driven and bi-directional integrations with conflict resolution and audit trails
• Compliance-aligned integrations for finance, HR, and regulated workflows

Every enterprise integration we deliver comes production-deployed with monitoring, alerting, and operational runbooks. Not a one-time data load. A real integration platform engineered to run unattended through quarter close, peak season, and system upgrades.

Replace brittle, point-to-point data transfers with engineered data pipelines designed for reliability, lineage, and explainability.

• ETL and ELT pipelines on Airflow, dbt, Fivetran, Airbyte, and custom frameworks
• Data warehouse and lakehouse integrations with Snowflake, BigQuery, Databricks, and Redshift
• Change data capture (CDC) pipelines for near-real-time replication
• Automated data quality validation, schema evolution, and lineage tracking

Companies that move from manual data transfers to engineered data pipelines consistently outperform peers on reporting accuracy, time-to-insight, and audit readiness. The difference isn't the dashboard. It's the integration layer underneath. We build that layer.

Every modern business runs on events: orders placed, payments processed, shipments updated, users signed up. Event-driven integration turns those events into a backbone every system can react to in real time.

• Event streaming architectures on Kafka, AWS Kinesis, Azure Event Hubs, and Google Pub/Sub
• Event schema design, schema registry management, and contract evolution
• Webhook gateways, retry queues, and dead-letter handling for reliable delivery
• Real-time integration patterns including event sourcing and CQRS where appropriate

Tech stack: Apache Kafka, Confluent, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, RabbitMQ, NATS, AsyncAPI, Avro, Protobuf, JSON Schema.

Traditional middleware breaks when integration count grows past a handful. Modern iPaaS and middleware integration adapts.

• iPaaS implementations on MuleSoft, Workato, Boomi, Zapier, Make, and n8n
• Custom middleware and integration platforms for high-volume or regulated workloads
• API gateways, service meshes, and traffic management for internal and partner APIs
• Hybrid human-AI workflows: the system handles the routine, your team handles the exceptions

Most integration programs stall because no one owns the platform between the systems. We build integration platforms with clear ownership, governance, and observability, not just connectors. The result: integration capacity that actually scales with the business.

If you're running a multi-cloud, multi-SaaS stack, integration quality is what determines whether those investments compound or fragment.

• Cloud-to-cloud integrations across AWS, Azure, and Google Cloud
• SaaS-to-SaaS integrations using native APIs, webhooks, and platform events
• Identity, billing, customer data, and analytics integrations across modern SaaS stacks
• Reverse ETL pipelines (Hightouch, Census) to operationalize warehouse data inside SaaS workflows

Vendor selection, API depth, data model fit, throughput, and edge-case handling: we evaluate all of it before recommending an integration approach. You get a working SaaS integration, not a vendor pitch.

A modern stack is only as connected as its weakest legacy boundary. Mainframes, monolithic ERPs, and on-premise systems often hold the data the rest of the business needs.

• Integration adapters for mainframe, AS/400, COBOL, and legacy ERP systems
• File-based integrations (SFTP, EDI, fixed-width, X12, EDIFACT) modernized with monitoring and validation
• Hybrid on-premise to cloud integrations with secure tunnels and zero-trust patterns
• Strangler-fig integration strategies that modernize incrementally without halting operations

Most legacy integration projects fail on incremental migration strategy, not protocol choice. We solve both problems in the same engagement.

An integration is only valuable while it's working. Without monitoring, alerting, and governance, integrations silently rot and you find out at the worst possible moment.

• Integration observability with logs, metrics, traces, and end-to-end tracking
• API and integration governance: catalogs, contracts, versioning, and deprecation policies
• Integration testing strategies including contract testing, replay, and chaos testing
• Documentation, knowledge transfer, and integration ownership models for your in-house team

Our clients running structured integration modernization programs have achieved significant reductions in integration-related incidents and measurable improvement in time-to-launch for new integrations within two quarters of adoption.