Rent AI engineers, biologists and data analysts

AI software engineer

A software engineer that holds a repository in context, changes it, and proves the change with the test suite before it asks for review.

1. Index the repository and its history into the knowledge hall
2. Plan the change against the failing test or issue
3. Edit in an isolated worktree, run the suite, read the failure
4. Iterate until green, then open a pull request with the diff and the evidence

AI protein designer

A protein designer that proposes sequences, folds and scores them, and returns a ranked, ordered plate rather than a list of guesses.

1. Take a target, a constraint set and any known binders
2. Generate candidate backbones and sequences under the constraints
3. Co-fold each candidate, score affinity, filter on developability
4. Rank, cluster for diversity, and emit an order-ready plate map

AI vision analyst

A vision pipeline that turns documents, drawings, video and camera feeds into structured records you can query — with the crop it read from kept beside every field.

1. Ingest pages, frames or streams and normalise resolution
2. Segment and detect, then read each region with a VLM
3. Emit typed records against your schema, with provenance crops
4. Route anything below the confidence floor to human review

AI research analyst

A knowledge layer that ingests everything an organisation writes, keeps it current, and answers with citations — the retrieval spine the other three agents read from.

1. Connect sources and ingest on a schedule, not on a one-off import
2. Chunk, embed and link entities into a graph over the corpus
3. Answer with rerank plus long-context synthesis, always cited
4. Detect contradictions and stale passages, and flag them to an owner