Build an API
A public or partner-facing interface to your product: schema, docs, auth, rate limits, versioning and a sandbox to test against.
APIs & integrations
Clean interfaces between your product and everything it talks to: payment gateways, ERPs, CRMs, logistics, WhatsApp. Built so that a third party having a bad day does not become your outage.
What we build
The first version of any integration works. It works because the network was up, the payload was well-formed and nothing was rate-limited. The interesting engineering starts the first time the other system returns a 502 halfway through a batch, or sends the same webhook twice, or quietly changes a field from a number to a string.
If a partner needs a call with your developer to use your API, it is not finished. We ship an OpenAPI or GraphQL schema, real examples for every endpoint, consistent errors with useful messages, and a versioning policy so you can change things later without breaking whoever integrated last quarter. Authentication is API keys or OAuth 2.0, scoped per client.
Stripe and local payment gateways. ERPs and accounting systems. CRMs and helpdesks. Shipping and logistics providers. WhatsApp Business and email. Each of these has its own idea of pagination, rate limits and what a webhook signature means, and getting those details right is most of the work in every integration project we have delivered.
Retries with exponential backoff, idempotency keys so a repeated webhook cannot double-charge or double-ship, a queue so a slow partner does not block your request, and a dead-letter store for the ones that never succeed. Every integration gets a log you can search by order or customer, because "did it go through?" is the question you will be asked.
Not everything has a modern API. We have taken data out of systems whose only interface was a scheduled CSV drop or an emailed report, and wrapped them in something the rest of your stack can talk to normally. The wrapper is where the ugliness stays, so it does not spread.
How it runs
Most projects are one of these, and some are all three.
A public or partner-facing interface to your product: schema, docs, auth, rate limits, versioning and a sandbox to test against.
Your product and a third party, in both directions, with retries, idempotency and a log that survives an audit.
A system whose only interface is a CSV drop or an emailed report, given a normal API so the rest of your stack stays clean.
Selected work
Every one of these started as somebody’s bottleneck. See all eleven projects.
Questions
Often, yes. Options in order of preference: an undocumented but stable internal API, a scheduled file export, a database replica, and only as a last resort scraping a UI. We tell you upfront which one we are relying on and how fragile it is, because that determines what maintenance will cost.
Your side keeps working. Requests queue, retries back off, and the transaction lands when the other end recovers. Where a live response is genuinely required we fail with a clear message and a recorded intent to retry, rather than losing the request silently.
Idempotency keys. Every incoming event carries an identifier we store; a repeat is recognised and acknowledged without re-running the effect. It is a small amount of work at build time and it is the difference between a clean ledger and a support queue full of double charges.
Yes, and it is part of the deliverable rather than an extra. An OpenAPI or GraphQL schema, a working example per endpoint, error reference, and sandbox credentials. The test we hold ourselves to is that a competent developer can integrate without emailing us.
You do. It runs in your infrastructure, the code is in your repository, and the docs are yours to publish. There is no NASTACK gateway in the middle of your traffic.
More of what we do
Most projects need more than one. They are in the same team, so nothing waits on a handover. See all services.
Custom web applications, platforms and internal tools, from first wireframe to production.
ExploreVoice and chat agents, document pipelines and workflows that do the repetitive work.
ExplorePipelines, warehouses, dashboards and models built on the data you already have.
ExploreInfrastructure as code, CI/CD and monitoring, so deploys stop being an event.
ExploreFrom idea to a product your users can try, in four to eight weeks, built to grow.
Explore