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Scinetics

ChinaScience models and AI scientistsShanghai, ChinaFounded 2026Private

Building a science foundation model that reasons over DNA, RNA and protein directly, tied to agents that run robot-arm lab work.

Disclosed total-
Rounds on record1
Latest roundnearly 50M yuanFirst round · 2026-09-20
Last stated valuationNone stated
Investors named4
Research on record2highest level 2 · Computed

Money and evidence

Moneyeach round in US dollars; ≈ converted at its dateFirst roundEvidencelevel of each research entry12345
Closed roundNot on the dollar scale (a range, or no rate)Research entry, at its level

Latest round, First round, 2026-09-20: the record then held no research entry for the company. The first research entry is dated 2026-10-11; the highest level so far is 2 (Computed).

Rounds and research, on one timeline

  1. 2026-10-22
    Research

    Level 2 · Computed

    Scinetics reports ScienceRSI, where small expert models' verified gains are written into a target model, and opens an 8B science-reasoning checkpoint

    Most science models are trained once and then stand still, and a lab that wants a new skill in one trains a new model. The claim here is that a smaller model's strengths can be moved into a larger one, which the 8B-to-27B run is the test of, and that the filtering is what makes it work: without the verification step the same supervision drops scientific reasoning from 55.0% to 50.6%, and scattering it at random costs 6.3 and 12.1 points. The open 8B checkpoint lets someone outside the company check what the recipe produced.

  2. 2026-10-11
    Research

    Level 2 · Computed

    Scinetics releases Chain of Structures, where a language model plans an enzyme in four steps and a protein generator builds each step before the next is written

    This is the company's first public method since its first round in September, and it ships with the weights and the scripts that produced them, so the procedure can be inspected rather than taken on trust. Its design choice is to make the model think in structures: each step has to be built as a structure before the next one is written, instead of a chain of reasoning that stays in text.

  3. 2026-09-20First round
    Round

    nearly 50M yuan

    For: its science foundation model and core team

    Models and platformHiring

    The company calls it its first round and names no stage; Lighthouse Capital was incubator and sole adviser.

    Lead · Innoangel Tech FundYijing CapitalXiaomiao LangchengLinge Ventures

    On the deal: Peizhou Zhao (Partner, Xiaomiao Langcheng); Qin Shen (Managing Director, Yijing Capital)

Research entries are the timeline's graded entries that name this company. A level grades one claim, not the company, and a blank can mean the record has not caught up rather than that nothing was published.

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Its investors also backed

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