Integration features that make users want to stay

Turn your integrations into advanced product features - without pulling engineers off the core product

Integration coverage wins deals. We make it scale

/01
Why It Matters

Your users think in workflows: "Can I sync my data with X?" "Does this connect to Y?" Every integration you ship is a feature that makes your product harder to leave. Every one you're missing is a reason to switch.

But internally, integration work is the roadmap killer. Every provider has different auth, different schemas, different ideas about error handling. The backlog of "just connect to X" grows faster than your team can ship. And every connector built without a framework becomes tech debt that slows down the next one.

/02
What It Involves

We design a scalable integration architecture. A normalized data layer so your product works against one consistent schema regardless of which provider is behind it. On top: shared error handling, retry logic, schema drift detection, and end-to-end traceability across your entire provider fleet.

Then we ship integration features in batches: each provider delivered as a production-grade product feature with user-facing functionality your product team can build on. 

/03
What You Get

Every provider connection shipped as a product feature - data sync, workflows, and user-facing functionality that becomes part of how your customers use your product daily.  Features that make switching expensive.

Underneath there is normalized data layer, adapter framework, and shared infrastructure. We also document process for onboarding new providers independently so that your team is not locked in.

Why Streamlogic for integration development

Feature Approach

We deliver every integration as a user-facing product feature. Your product team ships capabilities. Your users get workflows they depend on.

Built to Compound

Codified provider patterns and adapter templates mean each integration reuses proven logic. Integration #5 takes a week. Integration #50 takes days.

No Proprietary Glue

We don't inject paid products or libraries into your stack. Standard patterns, your language, your frameworks. The codebase looks like your team wrote it.

Fleet Observability

Cross-integration health dashboards that show degradation patterns across your entire integration layer.

How We Deliver Integrations

1
Days 1-5: Platform audit

Map your current integration architecture, identify bottlenecks, prioritize the provider pipeline. If you have an existing layer, we assess what's reusable. Firm price for the first phase.

2
Weeks 2-4: framework

Build the integration feature framework: normalized schema, adapter pattern, shared error handling, monitoring and traceability infrastructure.

3
Ongoing: Feature delivery

We scope, design and ship advanced integration features in sprints through the framework. Full test coverage, monitoring, alerting. Pay-per-Sprint fixed commitments.

4
Playbook

Provider onboarding playbook, team walkthrough, full ownership transferred. Your team builds the next.

FAQ

How many integrations can you deliver in one engagement?

Simple REST APIs with good documentation: 10-20 in 8 weeks after the framework phase. Complex providers with legacy protocols or custom auth: fewer, but the framework investment means your team continues at scale after handoff.

Do you support real-time sync?

Yes - webhooks, streaming, and event-driven sync where the provider supports it. For polling-only providers: optimized polling with change detection for near-real-time data without burning rate limits.

What if our current integration layer is a mess?

Common starting point. We audit what exists, identify what's reusable, and build the normalized layer around or alongside your current integrations. Incremental migration - no big bang.

How is this priced?

Fixed-fee per phase. Framework phase priced separately from feature delivery. You get a firm number before each phase starts. No hourly billing, no retainers.

What happens when a provider changes their API?

Monitoring detects schema drift and endpoint failures automatically. Adapter pattern isolates provider-specific logic - a breaking change affects one adapter, not your entire layer. Full traceability means your team identifies the root cause in minutes. They fix it using established patterns, with the playbook as reference.

Dedicated Team Insights

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Let's build the solution you need

Share what's slowing your team down. We'll take it from there.

Denis Avramenko, CTO at Streamlogic
Denis Avramenko
CTO, Co-Founder Streamlogic