Companies

Synthetic SciencesWinter 2026Active

San Francisco · CA, USA · founded 2026 · https://syntheticsciences.ai/

Diligence memoA one-page analyst read on Synthetic Sciences — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 5%
Sector rank · raised
Latest stage · inferred

Synthetic Sciences: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst

Foundation Models for Scientific Research

We're building the infrastructure for the era of autonomous science. Our core thesis: scientific foundation models with real research "taste" require two things, built in parallel. A product that captures high-quality organic research-process data at scale, and the training and research to turn that data into models with genuine scientific "taste". We're building both.

B2BEngineering, Product and Design
Find Synthetic Sciences online

As reported in public records reported — not modeled.

US
Jurisdiction
Amount raised vs valuation, by round

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

Benchmarked against 8525 companies in this sector. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Total raised — vs sector median (real $, all stages)
This company
Sector median$1.3M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$14.6M

Raised more than 96% of sector peers (real $). Modeled value above 96% of peers (estimate).

Full financing history

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Registry & provenance

Synthetic Sciences is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

United States
Country of record
US
Jurisdiction
Semantically similar

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

CompanySectorStageValue · estMatch
Synthetic Society
Synthetic Users to Simulate Real Users
78%
Human Archive
Multimodal data provider for robotics and world modeling
Robotics77%
Anthrogen
We're training the next generation of protein foundation models.
Biotech76%
Zumo Labs
We generate synthetic data for computer vision models.
Robotics75%
Output Biosciences
Teaching Generative AI the Language of Biology
Biotech75%
The Synthesis Company
100x faster scientific evidence synthesis
Pharma75%
Ligo Biosciences
Enzyme design models.
Biotech74%
Experiential Labs
World models for AI agents
AI / ML74%
Frequently asked
What does Synthetic Sciences do and where is it based?
Synthetic Sciences is a private company, based in San Francisco, CA, USA. Foundation Models for Scientific Research
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