Halffield runs the full Design–Make–Test–Analyze loop end to end — a workforce of governed AI agents on one auditable system of record. The agents run the science, you stay in command, and every result is traceable.
Discovery evidence becomes a campaign; campaign results feed back into the next design. Author the experiment once and every module is typed against it — the pieces actually feed each other, instead of sitting in five disconnected tools.
Twenty named agents — target discovery, QC, scheduling, safety and more — wield ~105 governed tools, and that roster is only a baseline you extend with agents and skills of your own. They plan, reason, and act on the real control tower, always behind entitlements, human-confirm and a hash-chained audit.
The ranked scorecard, the entity heatmap, the go/no-go gate matrix and the agents all read the same canonical results — so nothing ever disagrees on a score or a name. Not-yet-measured shows as exactly that, never a silent blank.
Every mutation audited, every tenant isolated, every number reproducible — and your IP never leaves your cloud.
Every query is auto-filtered by tenant. No context, no data — rejected, never leaked.
Every mutation lands in a tamper-evident chain, with reproducibility metadata on each run.
Displayed and recomputed values are byte-identical, from a single shared fitter.
Compute runs all-GCP, in-VPC. Private structures never touch a public CDN.
AI providers, per-agent autonomy, roles, SSO and feature flags — all from Settings.
Request access and we'll map your first program into Halffield with you.