What Tetsuwan Scientific does

Tetsuwan Scientific is a San Francisco-based private startup founded in 2024 by Cristian Ponce (CEO) and Alex Rolfness (CTO), building AI-powered autonomous robotic scientists capable of conducting biological experiments in a cloud laboratory without human involvement in the wet lab. The company's product, ResearchOS, is a cloud-based automation platform that uses large language models to translate natural language descriptions, uploaded research papers, and kit manuals into executable robotic protocols. Researchers parameterize experimental variables (reagents, instrument parameters, volumes, concentrations) via .csv uploads or natural-language queries, then visually simulate and edit protocols before execution on Tetsuwan's remotely hosted cloud lab infrastructure.

The underlying technical stack pairs LLM-driven protocol compilation with physical robotic automation (liquid handlers and lab instruments), making the platform AI-native rather than AI-augmented. The product surface includes interpretable, editable decision-making and visual protocol simulation, differentiating ResearchOS from closed automation stacks that require specialized engineering expertise. Adjacent community infrastructure (LabAutoWiki.org) extends the company's footprint into lab-automation education.

Tetsuwan's go-to-market combines product-led self-serve cloud lab access with sales-led enterprise engagement. Its initial anchor customer is La Jolla Labs, a gene therapeutics lab testing RNA therapeutic drug efficacy. Pricing is quote-based, suggesting subscription and/or usage-based billing at low volume. The company is venture-backed, having raised $2.7 million in pre-seed funding in November 2024 led by 2048 Ventures, with participation from Entrepreneur First, Transpose Platform, Everywhere Ventures (Every), Carbon Silicon Ventures, 100 Capital, and Referent Ventures. Advisors include Aaron Kimball (former CTO of Zymergen, Director of Engineering at Benchling) and Ginger Cooper (former COO of Artificial, former Head of Sales at Transcriptic).

Name

Tetsuwan Scientific

Legal name

Tetsuwan Scientific, Inc.

Website

https://tetsuwan.com

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Tetsuwan Scientific builds AI-powered autonomous robotic scientists that run biology experiments in a cloud lab. Its ResearchOS platform lets researchers describe experiments in natural language and receive results remotely, with initial focus on rare disease gene therapeutics labs.

Ownership category

akta.pro rank

Product category

Cloud Lab Automation Software

NAICS

Scientific Research and Development Services (5417), Computer Systems Design and Related Services (54151)

SIC

Laboratory Analytical Instruments (3826), Services-Testing Laboratories (8734)

akta.pro primary industry

Liquid Handling & Laboratory Automation (Pipettes, Robots, Workstations) (HLAGAIAD)

akta.pro secondary industry

Lab Middleware, Instrument Connectivity & Automation (HLACAMAI)

Keywords

• Autonomous lab automation
• Cloud laboratory platform
• AI wet lab research
• Robotic biology experiments
• Biology research software

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Cloud Lab Services: Researchers access the cloud lab platform to configure and run experiments remotely, sending questions and receiving experimental results without physical lab presence.
2. Automation-as-a-Service: Platform enables researchers to run experiments on cloud lab infrastructure with precision of automation, potentially billed by usage or experiment complexity.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels3 records

Core offering

Tetsuwan Scientific provides ResearchOS, a cloud-based lab automation platform that enables researchers to describe biological experiments in natural language or by uploading documents (papers, kit manuals, .csv plate layouts), and automatically compiles those descriptions into executable robotic protocols run on remote cloud-lab infrastructure. The company develops AI-driven autonomous robotic scientists powered by large language models that design, execute, and analyze wet-lab experiments without physical lab access for the user.

Product overview

Tetsuwan Scientific offers a single unified cloud-based automation platform called ResearchOS, which enables researchers to conduct biology experiments remotely from their web browsers. The platform allows scientists to describe experimental procedures using natural language, documents, or structured data, which are then automatically compiled into executable robotic protocols and run on the company's cloud laboratory infrastructure. ResearchOS is complemented by LabAutoWiki, a community-built educational encyclopedia for lab automation knowledge sharing.

Differentiator

Problem solved

Functional benefit

Brands

• ResearchOS: Cloud-based automation platform that allows researchers to configure and run experiments remotely from their browser without physical lab presence.

Products and services

• ResearchOS

Named customers1 record

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature2 records

Scale indicators3 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Emerald Cloud Lab: Operates a fully remote, cloud-based biology and chemistry laboratory where researchers run experiments via software interfaces. Direct competitor to Tetsuwan's cloud lab model, with broader instrument coverage but less AI-native protocol generation.
• Strateos: Cloud lab automation platform (formerly Transcriptic) offering remote-controlled robotic labs for life sciences. Closest direct competitor in remote wet-lab execution, with established pharma customers but a more traditional software interface than ResearchOS.
• Synthace: Lab automation software platform that abstracts experimental design and execution across multiple instruments. Comparable in translating experimental intent into automation, with a stronger enterprise/pharma install base.
• Arctoris: Cloud-based drug discovery platform combining automated wet-lab experimentation with data analytics. Comparable in remote lab execution targeting therapeutics research, including a focus on reproducible experimental data.
• Opentrons: Manufacturer of affordable pipetting robots and OT-2 liquid handlers used widely in biology labs. Comparable in the underlying liquid-handling hardware layer, though Opentrons focuses on bench-top robots while Tetsuwan wraps the workflow in a cloud AI platform.

Broad incumbents

• Benchling: Dominant cloud lab informatics platform (ELN, LIMS, registry) used by most major biotechs. Comparable customer base in life sciences R&D, but focused on data management rather than physical experiment execution — a logical integration or acquisition counterparty for Tetsuwan.
• Ginkgo Bioworks: Synthetic biology platform combining automated lab infrastructure with organism engineering services. Comparable in operating automation-heavy biology labs at scale, though Ginkgo's model is service-plus-foundry rather than researcher self-serve.
• Hamilton Company: Major manufacturer of laboratory automation instruments including liquid handling robots. The incumbent supplier whose hardware Tetsuwan's cloud lab likely integrates with; relevant both as a competitor in lab automation and as a strategic channel.
• Tecan: Global leader in laboratory automation and liquid handling systems for life sciences. Comparable as a foundational lab automation incumbent whose instruments power much of the biology automation ecosystem, including potential Tetsuwan deployments.

Emerging players

• Zhipu AI / Anthropic-style LLM protocol generators: Broader category of AI-driven experimental design and protocol generation startups (e.g., FutureHouse, Amino Bio, Cradle). Comparable in the LLM-as-scientist narrative, though most focus on computational/dry-lab biology or protein design rather than physical wet-lab execution.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/testsuwan

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds1 record

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Tetsuwan Scientific