Real systems in your stack, with the tests, monitoring, and documentation to keep them running.
Every model is measured against your data and your numbers, with evaluation and guardrails from the first commit.
The code, the infrastructure, and the understanding your team needs to run and extend it without us.
What we build
Every engagement is custom. We start from your problem and your data, then build the smallest system that solves it well and the infrastructure to keep it running.
Autonomous and human-in-the-loop agents that take real actions: research, triage, generation, and multi-step workflows wired into your tools. Built with evaluation and guardrails from day one, so behaviour is measurable, not magical.
Detection, classification, tracking, and inspection on images and video. We handle the full path from annotation and training to optimized inference on cloud or edge hardware, with the throughput and accuracy your operation actually requires.
We find the repetitive, error-prone work inside your operation and replace it with reliable pipelines: document processing, data extraction, back-office workflows, and integrations across the systems you already run. Measured against the hours it gives back.
The application layer around the model: dashboards, internal tools, APIs, and full products. Built to production standards with the testing, monitoring, and documentation that let your team own it after we hand it over.
Three phases, scoped tightly. You see working software early and keep ownership at every step.
We dig into the problem, your data, and the constraints that matter. You leave with a written plan: what we'll build, how we'll measure it, and what it costs. No black boxes.
Short iterations with working software at the end of each one. We instrument everything, so progress is something you can see and test, not a status update you have to trust.
We deploy to production, set up monitoring, and document the system so your team can run and extend it. We stay on for support only as long as you want us there.
A sample of what custom looks like. Client details are kept private; the engineering is representative of the work we take on.
A vision system inspecting parts in real time on the factory floor, flagging defects a human reviewer would miss at speed. Trained on the client's own footage and deployed to edge hardware beside the conveyor.
An agent that reads incoming requests, pulls context from internal systems, drafts responses, and routes the hard cases to people. Built with evaluation harnesses so accuracy is tracked release over release.
Replaced manual data entry from thousands of invoices and contracts with an extraction pipeline that validates against existing records and surfaces only the exceptions for review.
Start a project
Send a short description of what you're trying to do. You'll hear back from an engineer, not a sales funnel, usually within two business days.
Thanks. An engineer will read this and get back to you within two business days. If it's urgent, write to hello@pinlark.tech.