Some problems don't get easier when you add engineers. If correctness, performance or physics has already ruled out the obvious approach, a bigger team just reaches the same wall sooner. Those are the problems we take, and we take them from defining the problem to code your team runs without us.
- HPC and heterogeneous compute: GPU workloads and multi-node performance, including clusters where the devices no longer match each other.
- Formal verification and microkernels: minimal trusted bases and provable isolation. We are an seL4 tech partner.
- Agentic systems: autonomous control loops for hardware, toolchains and regulated domains.
- Optimised compute pipelines: custom backends, optimisation pipelines and compiler passes.
- On-prem deployment and maintenance: ML models served inside air-gapped environments, and kept running there.
- Custom tooling: instrumentation and toolchains built to fit the problem, including Triton kernels and custom network protocols.
We build the product layer on top of that too: apps, developer infrastructure and SDK tooling, and the product strategy for deciding what to build first.
Scope → build → verify → handover. Every phase puts something in your hands before the next one starts: a written problem statement, a running build at each milestone, benchmarks you can rerun yourself, and a repo your team runs without us.
You own all deliverables and their rights. Pre-existing and general-purpose tooling stays ours, and where it is useful to anyone else we publish it here.
Start at hopline.co, read the references and the open source there, or say hello at contact@hopline.co. If you have a problem with no obvious approach, the first step is a scoping call.
Brand seed: Sage #7C9070