Your data lives in ten systems. Your team copies it between them by hand.

We build integrations between CRMs, ERPs, e-commerce platforms, and legacy systems so data flows automatically, reliably, and in real time.

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Systems Integration

When your systems do not talk to each other, your team fills the gap with manual data entry, reconciliation spreadsheets, and workarounds that break when someone goes on vacation. CorrDyn builds the integrations that make those workarounds unnecessary.

6 hrs → 20 min

Data pipeline refresh after integration

< 5 min

Data sync latency replacing manual overnight batch processes

17M

Customer records consolidated in a single engagement

Use Cases

Engagements where this is the right work.

CRM and ERP integration

Connect Salesforce, HubSpot, or NetSuite so sales, finance, and operations work from the same data instead of reconciling spreadsheets every week.

Multi-system data consolidation

Your data lives across CRMs, ERPs, marketing tools, finance systems, and operational platforms that were never designed to work together. We build the integration layer that connects them into a single, consistent data environment.

Legacy system connectivity

Wrap aging systems that predate modern APIs with middleware and connectors so they participate in your data flows without a full replacement.

Replacing brittle point-to-point integrations

Your team built scripts and Zapier chains that worked at first but now break regularly and nobody wants to touch them. We replace those fragile connections with a managed integration layer that handles errors, retries, and monitoring.

Two-way CRM and ERP sync

Your sales, finance, and support systems disagree about who the customer is. We build the bidirectional sync that keeps them aligned without manual data entry.

Our Process

A structured approach that delivers results at every stage.

Map Your Systems and Data Flows

We start by mapping your entire technology stack: every system, every data flow, and every manual handoff. We identify where disconnected systems are creating friction, data inconsistencies, or operational risk. Then we design an integration architecture that connects your systems reliably while accounting for error handling, data validation, and future scalability.

Output: Integration architecture with data ownership matrix

Build Reliable Integrations

We integrate the full range of enterprise systems: CRMs like Salesforce and HubSpot, ERPs like NetSuite, e-commerce platforms like Shopify, payment processing systems, marketing automation tools, accounting software, and legacy systems that predate modern APIs. Our integrations handle real-time event-driven data flows, scheduled batch synchronization, and everything in between. We build on cloud infrastructure using Python and Node.js, connecting systems via REST APIs, webhooks, and custom middleware.

From our podcasts: Overcoming Data Fragmentation in Healthcare with Vera Mucaj, Solving Data Integration in Life Sciences with Ganymede, and Efficient Data Streaming with Estuary.

Output: Production sync with retries, idempotency, and sync-failure alerts

Monitor and Maintain

Our systems integration clients are organizations whose technology stack has grown organically and is no longer working as a cohesive whole. See how we integrated an ERP with ecommerce and fulfillment systems to create a unified operational platform. If your team is copying data between systems, maintaining brittle point-to-point integrations, or unable to get a unified view of your business, we can help you build an integration layer that brings order to the chaos.

Output: Sync-health dashboard and a 30-day support window

“CorrDyn was instrumental in building out various solutions that reduced back-office operations and allowed our teams to focus effort on more strategic revenue generating activities.”

Will Cooper— Finance

Outperformed HFRX Global Index 5 consecutive years

Fund performance

4x over 5 years

Fund growth

Only 1

Additional hires needed

Technologies

We pick the right tool for the problem, not the other way around.

Insights

Perspectives from our team on systems integration.

Stacked geological strata floating in dark space, with luminous mineral veins running between the layers. The lower strata glow cool steel blue and the upper strata glow warm copper, evoking the layered architecture of a context layer for AI agents.

BlogJun 15, 2026

The Context Layer: What to Build, What to Skip, and Where to Start

A staged framework for deciding which data architecture components AI agents need, when to build them, and why, based on the value you are creating.

By Ross KatzRead

Industrial rail bridges at dawn with luminous data orbs flowing through the infrastructure

BlogApr 16, 2026

MCP in the Enterprise: Cost, Security, and Workload Routing

MCP is now core infrastructure. Its real cost at enterprise scale, where the security model breaks, and how to route agent workloads deliberately.

By Ross KatzRead

Governed data infrastructure versus ungoverned agent access — data flowing through a structured pipeline versus scattering across a broken bridge

BlogFeb 19, 2026

Skip the Data Stack, Get the Wrong Answer Faster

AI agents querying raw source systems inherit every data quality problem the transformation layer solves — then present wrong answers with confidence.

By Ross KatzRead

View all insights

Results

Real outcomes from real engagements.

Financial Services / FinTech

Data Pipeline and BI for an Investment Networking Platform

CRM + financials + application DB

Systems synchronized

Real-time CDC via Estuary

Data freshness

Read the full story

Finance

How CorrDyn Transformed a Hedge Fund's Operations

Outperformed HFRX Global Index 5 consecutive years

E-Commerce / Agriculture

E-Commerce Data Engineering and ERP Migration

25%

Cost savings

Hours instead of days

Financial reporting

Read the full story

Frequently Asked
Questions

Which systems can you integrate?

We integrate CRMs, ERPs, payment processing platforms, e-commerce channels, marketing automation tools, accounting systems, legacy databases, and third-party vendor systems. If the system has an API or data export capability, we can connect it to the rest of your technology stack.

How do you handle legacy systems that lack modern APIs?

Legacy systems are a common challenge. We use a combination of database-level integration, file-based data exchange (SFTP, flat files), and custom middleware. The method depends on the system, but the result is the same: data flows out reliably without requiring a full replacement.

What happens when an integration breaks?

We build integrations with monitoring, alerting, and automatic retry logic so that transient failures resolve themselves. For persistent issues, our systems provide clear error messages and audit logs so your team, or ours on a support agreement, can diagnose and resolve problems quickly.

How long does a typical integration take?

A straightforward two-system integration typically takes 4-8 weeks. Multi-system projects with legacy components typically run 3-6 months. We scope each engagement after mapping your systems so the timeline reflects your complexity, not a generic estimate.

Can you build on top of our existing data warehouse?

Yes. Most integration projects feed data into an existing warehouse. We work with Snowflake, BigQuery, Databricks, MotherDuck, and PostgreSQL. We build the integration layer, data validation, and monitoring without disrupting your existing pipelines or analytics workflows.

What does ongoing support look like after the integration is live?

Integrations need maintenance. APIs change, vendors push updates, and business requirements shift. We offer support agreements that include monitoring, incident response, and incremental changes. Our support agreements typically scale to zero as your internal team ramps up, unless the engagement requires quick-response SLAs, after-hours support, or highly specialized individuals who tend to be oversubscribed.