Ad-tech & mar-tech SaaS

For ad-tech and mar-tech SaaS platforms

When platform integrations are your product rather than your back office, they need to work for every customer, at scale, without a support ticket per API change. We build and maintain that integration layer as part of your engineering effort.

Multi-tenant ingestionIntegrations as productRoadmap capacity
Quick answer

Engineering for ad-tech and mar-tech platforms: multi-tenant ingestion at scale, platform API integrations as product features, and reporting infrastructure.

Integrations are the roadmap tax

For a platform business, every ad network integration is a permanent commitment. It has to authenticate thousands of customer accounts, respect per-customer rate limits, survive API deprecations without downtime, and fail in ways your support team can diagnose. Each new network is quoted as a sprint and becomes a maintenance obligation forever. Before long a meaningful share of engineering capacity is spent keeping integrations alive instead of building the product that differentiates you.

What we build for platforms

  • Multi-tenant ingestion architecture with per-customer isolation, quotas, and fair scheduling
  • New platform and network integrations built to your existing patterns rather than beside them
  • OAuth and credential lifecycle handling across thousands of customer accounts, including expiry recovery
  • Rate limit orchestration so one large customer cannot degrade service for the rest
  • Ingestion observability your support team can actually read when a customer asks why data is stale
  • Migration work for API deprecations, scheduled ahead of enforced cutoffs

How we work

  1. Review the existing integration layer and the operational load it generates today

  2. Build one new integration end to end, establishing the pattern and the tests

  3. Take over the maintenance burden so your team returns to product work

  4. Add observability and self-service diagnostics to reduce support volume

Typical stack

PythonNodePostgresKafkaAWSKubernetesTerraform

Frequently asked questions

Not the differentiated part, and we would advise against that. The pattern that works is us owning the integration and ingestion layer, which is essential, specialized, and rarely where your product competes, while your team keeps the features customers choose you for.

Centralized scheduling with per-tenant quotas and fair queuing, so heavy usage by one customer cannot starve others. Backfills run in separate windows from live syncs. Getting this wrong is the most common reason platform ingestion degrades unpredictably as customer count grows.

Yes, and that is the default. We work in your repos, follow your conventions, and go through your review process. Integrations built beside a codebase rather than inside it become the next maintenance problem.

We work under your security model, with least-privilege access and no data leaving your infrastructure. Where you have compliance commitments to your own customers, we work within those controls and document what we touch.

Go deeper

Offload your integration layer

Tell us which networks you support and where the maintenance load falls, and we will scope taking it on.

Start a project

Proof from our work

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