# Talaria Scientific

> A multi-agent harness for computational science that turns a 10x researcher into a 100x researcher, with the scientist in the loop and HPC as the guardrail.

This site is the canonical reference for Talaria Scientific, an early-stage company building a multi-agent harness for computational science. Talaria Scientific is a new product from [Distributional](https://distributional.com), built in the open by [Scott Clark](https://scottclark.io): creator of MOE (the first production Bayesian-optimization OSS), founder of SigOpt (acquired by Intel), former Intel VP & GM of AI and HPC Supercomputing. Talaria is currently in private beta. Every page has a plain-markdown twin for direct LLM ingestion (linked below). For one-shot ingestion, see [llms-full.txt](https://talariasci.com/llms-full.txt).

## Pages

- [Home](https://talariasci.com/index.md): What Talaria Scientific is and how to request access to the private beta
- [About](https://talariasci.com/about.md): Who is building Talaria Scientific and why: founder background, the Distributional lineage, and the thesis
- [Request access](https://talariasci.com/signup.md): How to join the private beta
- [Press kit](https://talariasci.com/press.md): Headshots, logos, and bios for Scott Clark and Talaria Scientific, cleared for use in talks, podcasts, and press

## Blog

The blog index is at [https://talariasci.com/blog](https://talariasci.com/blog) (markdown twin: [https://talariasci.com/blog.md](https://talariasci.com/blog.md)); every post has a plain-markdown twin (linked below) and ships in the full-content RSS feed at https://talariasci.com/rss.xml.

- [Why I'm building Talaria Scientific](https://talariasci.com/blog/why-im-building-talaria.md): Talaria Scientific is building a multi-agent harness for computational science research to accelerate the flywheel of scientific discovery
- [The scientific flywheel that can lead to abundance](https://talariasci.com/blog/the-right-model-for-the-job.md): The scientific flywheel behind Talaria and TauOpt: a dense frontier of physics models, the policy that picks the right one per job, and why that compounds toward abundance.
- [The architecture of the Talaria research harness](https://talariasci.com/blog/the-talaria-architecture.md): The Talaria architecture: one scientist, one driving agent, twenty actions around one System of Record, and a gate on every claim-hardening write.
- [Surfing the Frontier Wave that rests between The Bitter Lesson and No Free Lunch](https://talariasci.com/blog/no-free-lunch-bitter-lesson.md): No free lunch says specialization wins; the bitter lesson says scale does. Both are right, and the frontier where they intersect is where science accelerates.
- [A system of record for computational science](https://talariasci.com/blog/the-system-of-record.md): The shape of Talaria's system of record: references, a hypothesis-results-findings triad, concepts over all of it, and the failure mode each design choice kills.

## Official profiles

- [GitHub](https://github.com/talariasci)
- [Hugging Face](https://huggingface.co/talariasci)
- [X](https://x.com/talariasci)
- [PyPI](https://pypi.org/project/talariasci/)
- [npm](https://www.npmjs.com/package/talariasci)
- [YouTube](https://www.youtube.com/@talariasci)
- [LinkedIn](https://www.linkedin.com/company/talariasci)

## Optional

- [Full corpus (single file)](https://talariasci.com/llms-full.txt): All page markdown concatenated