These usually show up once a company has more than a handful of reps or adds its second or third core system.
Closed-won deals are typed again into NetSuite, SAP, QuickBooks or another back-office system.
Lead counts and pipeline differ between HubSpot or Marketo and Salesforce.
Agents chase developers in chat because cases and Jira issues aren't linked.
Activity history in Salesforce is thin because logging depends on people remembering to do it.
A vendor or Salesforce product you rely on is changing, and the integration needs rework before a deadline.
A new ERP, billing or support platform is coming, and Salesforce has to keep working through the switch.
Accounts, products, prices, orders, invoices and payments synced with SAP, NetSuite, QuickBooks and other ERPs.
HubSpot, Marketo, Mailchimp and other tools connected with clear rules for leads, contacts and campaigns.
Service Cloud cases linked to Jira, Zendesk or ServiceNow, with status and comments flowing both ways.
CTI, call logging, email and calendar capture, and Slack or Microsoft Teams alerts tied to Salesforce records.
Integrations built on the Salesforce REST, Bulk and event APIs when no off-the-shelf connector fits.
Flows on MuleSoft, Boomi, Workato or similar platforms designed, built and documented for your team.
Deduplication, field mapping and data loads before a new integration or system goes live.
Review of existing connectors and scripts, fixes for failing syncs, then monitoring and ongoing changes.
Whatever the other system is, the same basics decide whether an integration runs for years or needs constant attention.
System of record named for every object
Field mapping and sync direction agreed up front
Rules for duplicates and record matching
Data that should not sync listed explicitly
A dedicated integration user with minimum permissions
OAuth instead of shared passwords
Secrets kept out of code and logs
Access reviewed when people or vendors change
Retries and error queues instead of silent failures
Bulk APIs for large volumes
API usage kept well inside org limits
Tested in a sandbox with real data samples
Alerts when a sync fails or slows down
Logs that show what changed and why
Regular reconciliation between systems
Runbooks your admins can follow
Salesforce sits next to an ERP, a marketing platform and support tools, and they need to agree with each other.
You've outgrown manual exports and Zapier flows, and sales, finance and support need one view of the customer.
You own the org and need engineers for integrations that go beyond configuration and marketplace apps.
You implement Salesforce and need a partner for the custom integration and back-end work around it.
ERP, accounting, marketing or support.
Turn spreadsheets into automated sync.
Find the cause and make it reliable.
Move to a supported option in time.
Deduplicate and map the data.
Monitoring, fixes and changes.
We list the systems, objects and volumes involved, who owns each record, and the limits and quirks of every API.
Native connector, marketplace app, iPaaS or custom code: we recommend the simplest option that meets your rules and budget.
Field mapping, sync direction, matching rules and error handling written down for you to review before building.
The integration is built against sandboxes, tested with real data samples and edge cases, and reviewed with your admins.
Data cleanup, a planned cutover, alerts and reconciliation, then ongoing support as your systems change.
One integration or a defined set of them
Fixed price after scoping.
For a clear piece of work: Salesforce with your ERP, marketing platform, support tool or phone system.
Systems, mapping and scope agreed up front
Built and tested in a sandbox
Data cleanup before go-live
Monitoring and alerts from day one
Hand-over to your admins or ongoing support
Engineers who own your Salesforce integrations
Monthly, per engineer or team.
For companies where integrations are a constant stream of work: new systems, changes and fixes.
Engineers matched to your stack
Ownership of existing connectors and scripts
Changes tested before they reach production
Monitoring and incident response
Scale up when a new system arrives
An AI-powered payroll validation platform that extracts data from salary slips, verifies payroll calculations, and automates reporting and approval workflows for HR and finance teams
An AI-powered fashion commerce platform that helps retailers deliver personalized shopping experiences through virtual styling, AI recommendations, image search, and intelligent product discovery.
Integration work is where business rules, data quality and engineering meet. Our engineers start from how your teams actually use the data, then pick the simplest way to connect it.
Integrations, APIs and data sync are everyday work for our engineers.
Node.js, NestJS, Python, FastAPI and Django for custom middleware.
RabbitMQ, AWS Lambda, Docker and Kubernetes.
Work can start in about two weeks.
85% of our customers come back with new work.
We don't write custom code where a connector does the job.
You review what syncs and in which direction before anything is built.
Retries, error queues and alerts for every integration.
Credentials, code and middleware stay in your accounts.
Engineers in Europe overlap with part of the US working day.
No sales pitch
Tell us what Salesforce needs to talk to
List the systems, what should sync and what goes wrong today. We'll suggest an approach and come back with a rough estimate.
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