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Toshi Otani, Co-Founder and Managing Director at Translink Capital

Toshi Otani

Co-Founder and Managing Director @ Translink Capital

Palo Alto, United States

Toshi Otani is a Series B investor at Translink Capital in Palo Alto focused on Software and Analytics. Toshi Otani is the Co-Founder and Managing Director of TransLink Capital. He attended Stanford Graduate School of Business and Keio University.

Total investments:
35
Last investment:
Lead investor:
23%

Last updated:

Industries Toshi Otani invests in

SoftwareAnalyticsCloud ComputingMobileEnterprise Software

Stages Toshi Otani invests in

Series BSeries CSeries ASeries DSeries E

Countries Toshi Otani invests in

United StatesIndiaGermany

Round sizes

Series A $4M–$23MSeries B $11M–$70MSeries C $3M–$53M

Contacts

TypeContactValidation
Work email
Personal email
Work phone
Personal phone
Socials

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Round size

Series A
$4M–$23M
Series B
$11M–$70M
Series C
$3M–$53M

Investment Focus

Industry

  • Software 8 (23%)
  • Analytics 5 (14%)
  • Cloud Computing 5 (14%)
  • Mobile 4 (11%)
  • Enterprise Software 4 (11%)
See all 54 industries →

Stage

  • Series B 9 (26%)
  • Series C 8 (23%)
  • Series A 6 (17%)
  • Series D 2 (6%)
  • Series E 2 (6%)
See all 9 stages →

Country

  • United States 17 (49%)
  • India 1 (3%)
  • Germany 1 (3%)

Investments

CompanyDescriptionRoundLinks
Matter Matter
Matter strives to change the electric ecosystem and alter electric mobility by developing integrated solutions and leveraging the latest tech. It offers the technology stack MatterEnergy, MatterEntel, MatterDrive, MatterLink, and MatterX. It was founded in 2019 and is based in Ahmedabad, Gujarat. $25M / Venture - Series Unknown / Aug 25, 2026
Makersite Makersite
Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions are siloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem withvertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and our graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use ground-breaking algorithms to support analysis and decision making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. Our API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better. $70.4M / Series B / Jul 22, 2025
Foundation EGI Foundation EGI
The EGI platform from the Foundation is designed to speed up all phases of the product development cycle, from design and research to production and documentation, enabling engineers to create better products more quickly and effectively. $23M / Series A / Jul 10, 2025
Plus One Robotics Plus One Robotics
Plus One Robotics develops a parcel-handling robotics platform for logistics applications. Plus One's intelligent solutions combine computer vision, AI, and supervised autonomy to pick parcels for the Global 100's leading logistics and e-commerce companies. Plus One's AI-powered software determines the precise movement of millions ofSKUs in routine tasks like sortation and depalletizing. Plus One focuses on logistics application development and logistics robot deployment for material handling tasks in warehouses and distribution centers. $53.4M / Series C / Mar 06, 2023
Makersite Makersite
Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions are siloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem withvertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and our graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use ground-breaking algorithms to support analysis and decision making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. Our API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better. $18M / Series A / Oct 18, 2022
Plus One Robotics Plus One Robotics
Plus One Robotics develops a parcel-handling robotics platform for logistics applications. Plus One's intelligent solutions combine computer vision, AI, and supervised autonomy to pick parcels for the Global 100's leading logistics and e-commerce companies. Plus One's AI-powered software determines the precise movement of millions ofSKUs in routine tasks like sortation and depalletizing. Plus One focuses on logistics application development and logistics robot deployment for material handling tasks in warehouses and distribution centers. $33M / Series B / Apr 27, 2021
Eclypsium Eclypsium
Eclypsium protects organizations from the foundation of their computing infrastructure upward, controlling the risk and stopping threats inside firmware of laptops, servers, and networking infrastructure. $13M / Series B / Oct 01, 2020
Fetch Robotics Fetch Robotics
Fetch Robotics is a San Jose, Calif.-based industrial robotics startup that develops and manufactures collaborative, autonomous mobile robot solutions for the warehousing and logistical markets. It takes takes advantage of its deep robotics expertise to provide reliable and safe collaborative AMR (Autonomous Mobile Robot) solutions for twocommercial applications: material handling and data collection.Fetch Robotics is a venture-backed Silicon Valley startup founded in 2014. $46M / Series C / Jul 23, 2019
Omniscience Corporation Omniscience Corporation
Omniscience Corporation provides underwriting automation and risk intelligence. $11M / Series A / May 22, 2019
Omniscience Corporation Omniscience Corporation
Omniscience Corporation provides underwriting automation and risk intelligence. Series A / May 20, 2019
See all 35 investments →

Co-Investors

Translink Capital

About Translink Capital

VC Fund · Palo Alto, United States

For US-based startups, identifying and accessing strategic partners in Asia can sometimes seem like a daunting challenge. With TransLink Capital’s support, guidance, and relationships with the most significant companies in Asia, our portfolio companies can develop the necessary long-term partnerships to transform their businesses and expand in Asiaand beyond.

Translink Capital Contacts

NameEmailPhoneSocials
DC Cheng
DC Cheng Venture Partner
Eric Hsia
Eric Hsia Managing Director
Manabu Ando
Manabu Ando Partner
Tomohiro Uchida
Tomohiro Uchida Partner
Brian Tomogane
Brian Tomogane Principal

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FAQ

What does Toshi Otani invest in?

Toshi Otani invests primarily in Software, Analytics and Cloud Computing startups, most often at Series B and Series C stage. Most of the 35 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

What is Toshi Otani's check size?

Toshi Otani typically joins rounds of $4M–$23M at Series A, $11M–$70M at Series B and $3M–$53M at Series C. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Toshi Otani participates in.

How do I contact Toshi Otani?

Public channels for Toshi Otani include LinkedIn. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

When did Toshi Otani last invest?

The most recent investment recorded for Toshi Otani closed in Aug 2026. Shizune tracks 35 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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