Sunthetics
Techstars '20New York City, US · Founded 2018 · Delaware corporation · 18 employees on LinkedIn · 8 known investors
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Sunthetics develops machine learning algorithms and software for chemical engineering applications. The company serves industrial and R&D teams in the chemical and materials sectors.
Also known as Sunthetics INC · SuntheticsML
Founders & leadership
Sunthetics was founded in 2018 by Daniela Blanco.
Board

Investors · 8
How we know: Icebook Investments Corp.'s portfolio page · Not right? Tell us
How we know: L'ATTITUDE Ventures's portfolio page · pulse2.com · Not right? Tell us
How we know: REFASHIOND Ventures's portfolio page · press coverage · the VCSheet dataset · Not right? Tell us
How we know: S3 Ventures's portfolio page · a partner's Signal profile · funding news · pulse2.com · Not right? Tell us
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
Also in the syndicate · 2
Reported raises · per SEC filings
Form D private placements$4M disclosed across 1 round · 2024
▶$4MraisedNov 2024 · 6 investors · OtherRule 506(b)
- Daniela BlancoExecutive Officer, Director
- Laura LucasDirector
- Offering amount
- $4M
- Amount sold
- $4M
- First sale
- Oct 2024
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Sep 2026Sunthetics is an AI software company serving chemical, pharmaceutical and materials R&D. Its product, SuntheticsML, is a browser-based platform that lets bench scientists upload experimental data (Excel or CSV), define an optimization target such as yield, purity or cost, and receive recommendations for the next experiments most likely to improve performance. The platform can begin modeling with as few as five experiments or observations, includes a design-of-experiments (DOE) module for teams without existing data, and provides visualization, variable-importance analysis, constraint definition, multi-objective optimization and trade-off analysis. It requires no coding or machine learning expertise from the user.
The company positions the platform as an alternative or complement to traditional statistical DOE and high-throughput experimentation, particularly for systems with many variables, interactions, noise and multiple local optima. Stated applications include reaction understanding and engineering, process characterization and scale-up, formulation optimization, and analytical method development, across catalysis, electrochemistry, photochemistry, mechanochemistry, biocatalytic cascades, separations, enzymatic reactions, biologics, and organic and inorganic chemistry. Beyond self-service software access, Sunthetics offers an Advanced ML Consulting arrangement in which its engineers run optimizations on behalf of a customer.
Sunthetics was co-founded by Daniela Blanco, who serves as CEO; Blanco completed a Ph.D. in chemical engineering at NYU in 2020 and the company originated from work in Brooklyn before the company became headquartered in Texas. The company reports that it is SOC 2 Type II certified and conducts annual penetration tests.
Founding story
The company was co-founded by Daniela Blanco, who earned a Ph.D. in chemical engineering from NYU Tandon School of Engineering in 2020 and holds multiple patents on sustainable chemical technologies. She describes the company as born at NYU in Brooklyn, developed through university entrepreneurship programs and competitions, with the aim of building a more sustainable chemical industry.
Business model
Sunthetics sells access to SuntheticsML as a cloud-based web application used directly by R&D scientists, and alternatively offers an Advanced ML Consulting agreement under which Sunthetics engineers run optimization campaigns on the customer's behalf.
Revenue comes from access to the SuntheticsML cloud software platform and from consulting engagements in which Sunthetics engineers run optimization projects for clients.
Traction
The company reports customer results including a 67% reduction in experiments for crystallization optimization in a retrospective validation with J-Star Research, a 7% higher faradaic efficiency in an electrochemical reaction optimization using nine experiments and 75% fewer experiments, a 13% better crystal aspect ratio across five crystallization variables using five experiments, and a 40% higher fracture toughness in polymer double networks using four experiments. Other cited outcomes include cutting DNA template synthesis timelines from seven months to five weeks and a 14% manufacturing yield increase. A top-five pharmaceutical company was reported to have achieved 6x faster process development, a 75% reduction in expensive materials and 12% higher efficiency.
Latest developments
Sunthetics was named a co-principal investigator on a $19.5 million National Science Foundation award within the NSF Programmable Cloud Laboratories Test Bed initiative, working with Scripps Research as project lead and UCLA to develop an open, AI-guided platform for high-throughput chemical reaction discovery combining robotics and automation, AI models trained on chemical reactivity data, and open data standards. The project is one of 20 collaborative teams sharing $400 million from the broader NSF program over a four-year national network build-out. The company also presented results of a collaboration with Merck at a Mettler-Toledo-organized Biopharma Roundtable in Basel, Switzerland, and placed second in the L'ATTITUDE Match-Up competition and first in the Inicio Ventures Latinx Startup Hub Tour pitch competition at San Antonio Startup Week in 2024.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Sunthetics describes itself as serving R&D teams at large pharmaceutical, chemical and cosmetics companies and leading research institutions, and an investor characterized the platform as bringing chemical process development into the AI era. Named users and collaborators include Merck, J-Star Research and Ghent University's Center for Sustainable Chemistry.
Sunthetics emphasizes performance with very small datasets — models can start from about five data points — where competing optimization platforms typically require larger data volumes. Other stated points of difference are a reaction-agnostic approach applicable across chemistries and industries, automatic selection of the best-fitting ML model per dataset rather than a fixed model, interpretability of which variables drive outcomes, and a no-code interface aimed at bench scientists rather than data scientists.
Technology
SuntheticsML applies proprietary machine learning algorithms in a modified Bayesian optimization approach tailored to small datasets. The system runs large numbers of simulated candidate experiments to select recommended next runs, automatically selects appropriate ML models for a given dataset, and iteratively corrects predicted trends as new experimental results are added. The platform supports data visualization and exploration, variable-importance analysis, model performance evaluation, constraint definition, predictive space mapping and multi-objective optimization, is reaction-agnostic, returns results within minutes, and is delivered through a cloud web application with no coding required. The company states it is SOC 2 Type II certified and performs annual penetration tests.
Go-to-market
The company markets directly to enterprise R&D organizations and research institutions through its website contact channels, published case studies and benchmarks, conference presentations and industry roundtables, and collaborations with large pharmaceutical and chemical companies. Participation in accelerators, pitch competitions and federally funded research programs has also provided visibility.
R&D scientists and process development teams in pharmaceuticals (drug discovery, formulation, manufacturing scale-up), chemicals and materials science (catalyst development, polymer design, coatings), energy and renewables (biofuels, batteries, sustainability materials), and food and cosmetics formulation, spanning academic labs through global enterprises.
Geography
Sunthetics has been described as San Marcos, Texas-based, with origins at NYU in Brooklyn, New York. Its cloud platform is used by customers internationally, including Ghent University's Center for Sustainable Chemistry in Belgium, and company representatives have presented at events in Europe and the United States.
History
Daniela Blanco co-founded the company while a chemical engineering doctoral student at NYU, participating in NYU programs including the J-term Startup Sprint, the 300K Entrepreneurship Challenge and the InnoVention Competition. Early support came through a series of competition prizes and grants between 2018 and 2020, including NYU competition prizes, a VentureWell award, an Empire State Development tech transfer grant, a Powerbridge NY award and The Heritage Group x Techstars Accelerator. Sunthetics received an NSF SBIR Phase I grant in 2021 and subsequently a $1 million NSF SBIR Phase II award for algorithms addressing categorical variables in chemical processes. In November 2024 the company closed a $4 million seed round. The company was originally based in Brooklyn, New York, and is later described as headquartered in Texas, specifically San Marcos.
Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Related companies · 4
Companies working in the same space as Sunthetics.
Timeline · 17
launches, deals, and filingsCEO Daniela Blanco presented results of Sunthetics' collaboration with Merck, applying SuntheticsML to the development of small molecules, vaccines and biocatalytic processes, at the Mettler-Toledo-organized Biopharma Roundtable in Basel, Switzerland.
Sunthetics was named co-principal investigator on a $19.5 million NSF-funded project led by Scripps Research with UCLA, part of the NSF Programmable Cloud Laboratories Test Bed initiative, to build an open AI-guided platform for high-throughput chemical reaction discovery.
$19.5M source ↗
Sunthetics announced the closing of an oversubscribed $4 million seed round led by L'ATTITUDE Ventures with S3 Ventures, Hearst Level Up Ventures and Global Impact Fund II, to expand the team and advance the machine learning platform.
$4M source ↗
Sunthetics placed first in the Inicio Ventures Latinx Startup Hub Tour pitch competition at San Antonio Startup Week 2024.
Sunthetics placed second at the L'ATTITUDE Match-Up competition, selected among 19 companies from hundreds of submissions.
Sunthetics received an NSF SBIR Phase I grant, which preceded its Phase II award.
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Sunthetics received a $1 million National Science Foundation SBIR Phase II grant to develop algorithms for optimizing categorical variables in chemical processes, building on its 2021 Phase I grant.
$1M source ↗
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
▸Research sources · 9
primary sources listed
- Suntheticssunthetics.io · web
9 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Sunthetics do?
- Sunthetics builds SuntheticsML, an AI platform that optimizes chemical experiments and processes using very small datasets.
- Who founded Sunthetics?
- Sunthetics was founded by Daniela Blanco in 2018.
- Who are Sunthetics's investors?
- Sunthetics's investors include Icebook Investments Corp., L'ATTITUDE Ventures, REFASHIOND Ventures, S3 Ventures, Techstars, Virta Ventures.
- How much funding has Sunthetics raised?
- Sunthetics has disclosed $4M raised across 1 round.
- Where is Sunthetics headquartered?
- Sunthetics is headquartered in New York City, US.







