Hire them like staff. Hand over the problem — they solve it and return paper-grade results. No chatbot, no prompts to babysit. Just the discovery.
Built by a scientist, not an engineer. Engineers build tools that execute. We build colleagues that have ideas — which is why the agents discover, and why the method doesn't copy easily.
You don't operate agents through a dashboard. You collaborate with them the way you'd work with a sharp junior scientist.
A voice interview — describe your problem out loud. The AI helps you sharpen it into the right question.
The work moves inside the lab — AI/human and AI/AI pairs do the research.
The AI walks you through the findings on a call — and answers your questions.
You don't operate agents. You work with a colleague.
The agents are ours. A lot of what they build isn't — it's open source. Some of it:
Fast k-mer indexing for genomes — rapid repeat-family assignment and similarity search.
Python wrapper for Tandem Repeat Finder — batch processing and clean result parsing.
Mines satellite-DNA array structures, decomposing them into monomer variants.
+ SINEfinder, repeat-qc and more in development — see the full GitHub organization →
Hand it over. The agents go looking.