Ark
New York, US · Founded 2021 · 4 known investors
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Ark applies machine learning and AI to bioprocessing, replacing trial-and-error methods with hybrid predictive models to accelerate drug development and scale biotherapeutic manufacturing. The platform serves biopharmaceutical companies and biotech firms seeking to reduce R&D timelines and production costs.
Also known as Ark Biotech · ARK BIOTECH
Founders & leadership
Ark was founded in 2021 by Zheng Huang, Yossi Quint, and Yosef A Quint.

Investors · 4
Reported raises · per SEC filings
Form D private placements$21.7M disclosed across 4 rounds · 2021–2024
▶$8.2MraisedMay 2024 · 8 investors · Other TechnologyRule 506(b)
- Yosef Avraham QuintExecutive Officer, Director
- Irving FainDirector
- Offering amount
- $11M
- Amount sold
- $8.2M
- First sale
- May 2024
- Incorporated
- Corporation, Delaware, 2021
- Federal exemptions
- 06b
▶$5MraisedOct 2022 · 5 investors · Other TechnologyRule 506(b)
- Yosef Avraham QuintExecutive Officer, Director
- Irving FainDirector
- Offering amount
- $5M
- Amount sold
- $5M
- First sale
- Oct 2022
- Incorporated
- Corporation, Delaware, 2021
- Federal exemptions
- 06b
▶$6MraisedMay 2022 · 12 investors · Other TechnologyRule 506(b)
- Irving FainDirector
- Yosef Avraham QuintExecutive Officer, Director
- Offering amount
- $6M
- Amount sold
- $6M
- First sale
- Apr 2022
- Incorporated
- Corporation, Delaware, 2021
- Federal exemptions
- 06b
▶$2.5MraisedDec 2021 · 10 investors · Other TechnologyRule 506(c)
- Irving FainDirector
- Yosef A QuintExecutive Officer, Director
- Offering amount
- $2.5M
- Amount sold
- $2.5M
- Minimum investment
- $10K
- First sale
- Dec 2021
- Incorporated
- Corporation, Delaware, 2021
- Federal exemptions
- 06c
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Ark (Ark Biotech) develops software for computational bioprocessing, offering what it describes as a virtual bioreactor: users upload experimental data they have already generated, create a custom model without coding, and simulate cell culture runs in seconds rather than executing them physically. The platform is positioned across the bioprocess lifecycle, from early-stage process development and scale-up through tech transfer and commercial operations, and is aimed at shortening timelines, reducing the number of physical bioreactor runs, and improving outcomes such as titer and process robustness.
The product exposes more than 25 cell culture trends, including growth metrics (titer, viability, viable cell density), metabolic indicators (pCO2, lactate, ammonia) and soft sensors such as impeller and sparger power-per-volume. Users can run sensitivity analyses and full factorial designs of experiments in silico, explore tens of thousands of process variations in a single action, and have candidate recipes ranked against stated goals and constraints. A scale-up module quantifies cell culture performance across scales and bioreactor configurations using a dynamic bioreactor model, analyzing trends such as pCO2 and osmolality to surface problems early. The system is bioreactor-agnostic, with a library of vessels plus the ability to add custom geometry, impellers and spargers, and includes an interactive "Bioprocess AI Assistant" chatbot for accessing and interpreting results. Ark also references an open-source area alongside its technology, insights and careers pages.
Security and deployment claims include SOC 2 Type II certification, AES-256 encryption at rest and TLS 1.2 or higher in transit, single-tenant AWS hosting with a dedicated VPC, SSO-based authentication with short-lived tokens, secrets management via AWS Secrets Manager and Parameter Store, and a policy that customer data is used only to auto-calibrate models within the customer's own product environment rather than to train Ark's models.
Founding story
Co-founders Zheng Huang and Yossi Quint started Ark to combine domain expertise in biopharmaceutical manufacturing with predictive modeling. Quint began his career as a quantitative researcher in finance, where he saw the effect of predictive modeling; Huang spent over a decade in biopharmaceuticals, including as Director of MSAT at Sanofi, leading tech transfer, process modeling and automation teams, and observed the need for more integrated, data-driven approaches [2].
Business model
Ark sells access to its bioprocess simulation software to biopharmaceutical manufacturers and contract development and manufacturing organizations; the site is structured around booking a demo of the commercially available product, with customer data hosted in single-tenant environments [0][1].
Traction
The company states its software is commercially available and that top biopharma companies and CDMOs use it; it reports SOC 2 Type II certification. A May 2026 insights post reports real-time closed-loop optimization delivering a 43% titer improvement over a historical best [0][1][3].
▸Full profile — market position, technology, go-to-market, history
Market position
Ark positions itself in the emerging computational bioprocess segment, stating that top biopharma companies and CDMOs use its software, and framing simulation as a replacement for the trial-and-error experimentation that currently governs process development [0][1][4].
Ark combines mechanistic models drawn from biology, chemistry and physics equations with machine learning applied where scientific knowledge is incomplete, rather than relying on purely statistical or purely empirical approaches. It emphasizes a no-code interface usable by any scientist, tolerance for sparse and imprecise data from common sensors and instruments via an advanced model calibration method, bioreactor-agnostic modeling with customizable vessel geometry, and simulation speed that allows thousands of parallel virtual experiments [0][1][4].
Technology
Ark's approach, which it calls computational bioprocess, is model-first: mechanistic models assembled from established scientific equations spanning the bioprocess are interconnected into a dynamic framework, with machine learning and AI layered in where mechanistic understanding is incomplete to learn patterns from historical data. The resulting simulations run in seconds, enabling high-throughput in silico experimentation, sensitivity analyses, full factorial DOEs, scale-up prediction (including pCO2 and osmolality across scales and PID tuning for perfusion processes), pre-running of process deviations, and optimization across the design space. The software runs on AWS in single-tenant environments and includes an agentic/chatbot interface for querying results [0][1][4].
Go-to-market
Direct enterprise sales led by demo requests on the company website, supported by published technical content (insights posts on computational bioprocess, digital twins, agentic interfaces and FDA guidance) and an advisory board drawn from academia and industry [0][2][3].
Biopharmaceutical companies and contract development and manufacturing organizations (CDMOs), and within them process development, MSAT, scale-up, tech transfer and commercial manufacturing scientists [0][1].
History
Ark was founded by Zheng Huang and Yossi Quint to apply a model-first approach to bioprocessing. It published a foundational technical essay on "computational bioprocess" in January 2025, followed by posts on FDA draft guidance and AI-readiness in July 2025, on real-time closed-loop optimization in May 2026, and on building an agentic interface for scientific data in August 2026. The website states the software is now generally available [2][3][4].
Compiled by commissioned research from 8 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.
Competitors · 3
by search overlapCompanies competing with Ark for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 4
launches, deals, and filingsInsights post titled "Beyond the Chatbot: Building an Agentic Interface for Scientific Data".
Insights post describing real-time closed-loop optimization delivering a 43% titer improvement over the historical best.
Ark's website announces that its software is now available, offering no-code virtual bioreactor simulation, in silico optimization and a Bioprocess AI Assistant to biopharma companies and CDMOs.
Company essay setting out its model-first approach that pairs mechanistic models of biology, chemistry and physics with machine learning to run thousands of virtual bioreactor experiments in place of physical runs.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 8
primary sources listed
- Arkark-biotech.com · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Ark do?
- Ark builds simulation and AI software that lets bioprocess scientists run virtual bioreactor experiments in seconds.
- Who founded Ark?
- Ark was founded by Zheng Huang, Yossi Quint, Yosef A Quint in 2021.
- Who are Ark's investors?
- Ark's investors include HAWKTAIL, HCVC, Primary Venture Partners, Siddhi Capital.
- How much funding has Ark raised?
- Ark has disclosed $21.7M raised across 4 rounds.
- Where is Ark headquartered?
- Ark is headquartered in New York, US.



