Data Delivery Platform Invisible Technologies

Built to Sign 10x Clients

Their annotation platform was world-class. Their delivery pipeline was a human bottleneck. We fixed it.

75% reduction in delivery headcount

3 days → instant on-demand export

Stack PythonApache AirflowPostgreSQLREST APIs

The situation

Invisible Technologies trains AI models. Their human annotators label data at scale. That’s the core product, and they were genuinely good at it. By the time we started working with them, they had a real business: multiple clients, steady delivery, a CS team that knew how to manage expectations.

The annotation side worked. The delivery side was falling apart.

The bottleneck

Every time a client needed their data, a CS manager would take the client’s spec and file a ticket. An engineer would pick it up, translate the spec into code, wire up the export, and hand it back. The client updated their format requirements: another ticket. New client onboarding: another engineer. Model update: same drill.

Twenty engineers were absorbed into delivery work. All they were doing was translating specs into exports, over and over, scaling linearly with every new client signed. The platform kept getting better. The delivery process stayed stuck.

The problem was the workflow itself.

What we built

We built a self-serve delivery platform. A configuration layer that let CS managers own the full spec-to-export flow without involving engineering at all. They could map client data formats, configure output schemas, and trigger exports on demand.

No ticket. No engineering handoff. No waiting.

Engineers got their time back. The CS team had real ownership over delivery. Clients stopped waiting three days for something that should take minutes.

The real challenge

The hardest part had nothing to do with the code. CS teams had worked alongside an engineer for every delivery for years. That’s just how it worked. The instinct to file a ticket was muscle memory, not distrust of the new system.

The shift happened the first time a CS manager ran a full spec-to-export on their own. No ticket. No Slack ping to engineering. Just: configured, mapped, exported. After that, the skepticism was gone. The platform gave them back time they’d been spending waiting on someone else’s queue.

The outcome

Engineering headcount on delivery operations dropped from 20 to 5. Delivery turnaround went from 3 days to on-demand. New client onboarding stopped being gated by engineer availability.

The moment that stuck with us: the head of operations said, “We can now sign 10x clients without worrying about whether delivery will keep up.”

Fix the right bottleneck and you don’t just speed things up. You remove the ceiling on growth entirely.

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