The Fastest Path to Better Proteins

NGS-verified protein variant pools, designed and synthesized for your high-throughput assay.

Optimization starts with a candidate.

Protein optimization is a search across a vast functional sequence space. The signal is sparse, and the map is empty. You begin with one sequence — and a sense that there is something better, somewhere out there.

Somewhere out there is a better version.

Every mutation from the original candidate is a step into the unknown. Somewhere in that space sits a variant that is faster, more selective, more stable. The direction we have to travel is unknown, and often quite far.

Reality is not always kind.

Most mutations will result in either neutral or worse performance. In some cases, there is a valley of low-performing mutations separating our initial candidate from the best-performing variants.

Every path had a cost.

Every search for a better protein hits the same reality: these are physical materials. Variants have to be prepared and tested, and optimization strategies have made trade-offs based on real-world constraints.

Random Mutagenesis

Historical methods of directed evolution — DMS, SSM, error-prone PCR — are powerful tools for polishing an already good enzyme. They can generate a large number of candidates and leverage high-throughput screening technologies. However, because they stay so close to the original sequence, campaigns often require many rounds to achieve real improvement.

Rational Design

Rational design — by humans or AI — can leap to distant candidates in a single step. But each candidate requires custom synthesis, a significant cost barrier, making high-throughput testing impractical. Most of the space goes untested.

Talaria

Talaria pairs AI-guided design with in-house DNA synthesis. We ship a single pool with up to five million rationally designed, NGS-verified variants. These variants are designed to cover as much of the search space as possible for your protein, resulting in rich functional data. If we don't find a sufficient candidate in our first attempt, our AI models can use this foundational dataset to refine a design for round 2 with unparalleled power.

Early Access Program

1K–5M

Variants per pool

120–2500 AA

360–7500 BP coding

3–4 weeks

Design to delivery

NGS verified

Every pool

  • Simple fee for service
  • No annual subscription, no lock-in
  • IP transfer fees waived for EAP partners
  • Applications open through June 2026.

Case Study: BM3 Hydroxylase

We chose BM3 hydroxylase as our first benchmark because it’s a hard target — over a thousand amino acids, well studied in industrial biocatalysis, and with a published precedent we could measure ourselves against.

In 2006, a landmark BM3 library defined what rational protein design could do: 6,561 chimeras, assembled by hand. Twenty years later, we built the same kind of library at Talaria — and delivered 3.2 million variants in a single pool.

Contact

Tell us about your protein and the throughput of your assay. We’ll respond within two business days.

Or email us directly at contact@talariabio.com