Talaria Scientific

Talaria, the research harness

For computational scientists whose week goes to validation instead of science.

Private beta todayOpen source December 5Hosted alpha December 5, invite only

Ideas are what moves science forward, but validation is expensive and slow: data wrangling, sysadmin, re-implementing baselines, manual checking. Talaria is a multi-agent, multi-foundation-model harness that runs that machinery. You direct it; it handles the coding, the environments, the cluster runs, and the record keeping, with the scientist in the loop and HPC as the guardrail. A mech suit for the researcher, not an auto-scientist that replaces you.

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Figure 1.The Talaria architecture. The five-stage Research Loop runs on top of the System of Record; below, the rigor skills augment that process and can extend the record, the inspection skills give you a view into the record at various levels, and the maintenance skills ensure the record is always clean. Capture is cheap, every claim-hardening write passes a gate that checks it against the record's rules, so every hardened claim stays traceable and inspectable, and the adversarial panel rides the gates as claims harden; a failed stage kicks back to a previous part of the loop. The record compounds over time as the process unfolds.

How you would use it

A session is a loop. You bring an idea; the harness hardens it into a pre-registered plan, builds and reviews the code, runs it on your compute, and proposes findings grounded in the results. Each stage is a skill you can read and edit.

  1. /idea captures the thought with its provenance. Capture is cheap; nothing is gated here.
  2. /plan freezes it into a pre-registered hypothesis: configurations, seeds, metrics, and what it takes to validate or refute it.
  3. /implement builds and reviews the experiment code.
  4. /run dispatches the work to your compute: a university cluster, a national-lab allocation, a cloud, or your laptop, one config block apart.
  5. /synthesize proposes findings from the results. A panel of isolated reviewers attacks them before they register, and the findings seed the next idea.
Figure 2.Who owns what. The harness you download (the core, a field's packs, the skills, the docs) is open and we maintain it; your instance (the record and your experiment code) is private and yours; the published literature is the commons.

What you get

Who it is for

What stays yours

How to get it

Get access, or get in touch

Talaria is in private beta with a small group of researchers, and TauOpt is in closed beta. For product access, use the request forms. For enterprise, partnerships, or press, use the contact page.

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