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Necessary Ventures, VC Fund

Necessary Ventures

VC Fund

San Francisco, United States

Necessary Ventures is a VC fund in San Francisco focused on Health Care and Software. Necessary Ventures focuses on investing in what the world needs. They work with the founders to build the most scalable solutions.

Total investments:
50
Last investment:
Lead investor:
8%

Last updated:

Industries Necessary Ventures invests in

Health CareSoftwareArtificial IntelligenceFinancial ServicesConsumer

Stages Necessary Ventures invests in

SeedSeries APre-SeedSeries BSeries C

Countries Necessary Ventures invests in

United StatesNigeriaVenezuelaUnited Kingdom

Round sizes

Seed $3M–$9.3MPre-Seed $125k–$3.3MSeries A $9M–$28M

Contacts

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Round size

Seed
$3M–$9.3M
Pre-Seed
$125k–$3.3M
Series A
$9M–$28M

Investment Focus

Industry

  • Health Care 12 (24%)
  • Software 8 (16%)
  • Artificial Intelligence 7 (14%)
  • Financial Services 4 (8%)
  • Consumer 3 (6%)
See all 84 industries →

Stage

  • Seed 15 (30%)
  • Series A 15 (30%)
  • Pre-Seed 7 (14%)
  • Series B 4 (8%)
  • Series C 3 (6%)
See all 6 stages →

Country

  • United States 32 (64%)
  • Nigeria 1 (2%)
  • Venezuela 1 (2%)
  • United Kingdom 1 (2%)

Team

NameTitleInvestmentsLinksEmail
Neil Devani
Neil Devani Founder and Managing Partner
Founder and Managing Partner Total investments: 6
Find email

Investments

CompanyDescriptionRoundLinks
Kanurra is a pass-through pharmacy benefit manager for self-funded and level-funded companies that focuses on removing PBM spread, rebate retention, and other hidden costs. $6.4M / Seed / Jul 27, 2026
Arc Boats is electrifying the world of boating, starting with high-performance watersport boats. $50M / Series C / Mar 19, 2026
Nitra Nitra
Nitra offers expense management software that integrates with the banks to provide innovative loan products. $50M / Series B / Mar 10, 2026
Verustruct formerly Impact3D. VERUSTRUCT is a tech company that provides 3D construction technology that delivers smart building solutions, sustainable engineering, and advanced construction automation. $2.4M / Pre-Seed / Sep 24, 2025
Copper is a a battery solutions startup. $28M / Series A / Aug 27, 2025
Brellium is an AI-powered clinical note auditor that conducts note audits according to clients' clinical and billing standards, resulting in cost savings. $16.7M / Series A / Mar 17, 2025
Infinite Machine is to create the world's most captivating non-auto vehicles. Infinite Machine initial product, the P1, is a revolutionary new personal electric vehicle that combines innovative performance and usefulness with an industrial-style look. In Infinite Machine's ideal post-car future, environment and people coexist together. $9.3M / Seed / Oct 29, 2024
Nevoya's focus on zero-emission freight transport is a significant step toward sustainability in the logistics industry. Nevoya is an electric truckload carriers can help reduce the carbon footprint of shipping while also potentially lowering operational costs in the long run. $3M / Seed / Sep 30, 2024
Plural Energy helps investors invest directly in renewable energy projects. The company utilizes blockchain-enabled smart contracts to provide constant yield and liquidity to investors. $2.3M / Pre-Seed / May 30, 2024
Unlearn.AI is a biotech AI company that develops a digital twin service for clinical trials. Digital twins enhance healthcare by assessing health risks before a disease manifests its symptoms, according to some experts.  Unlearn brings together a world-class team of experts across pharma, medtech, machine learning, and business who share a visionof using machine learning and biostatistics to improve clinical trials for the benefit of patients and sponsors.Unlearn invented their TwinRCT solution to enable biopharma partners to run faster, more successful clinical trials. A TwinRCT is a randomized trial that uses machine learning to achieve a higher probability of success with a smaller number of patients. As in a traditional RCT, patients are randomized to a treatment group and a control group, but, unlike a traditional trial, a prognostic digital twin is created for every patient using a machine learning model trained on historical data. The treatment effects for the primary and secondary outcomes can all be estimated from the trial with greater precision after correcting for a prognostic score derived for each patient's digital twin.TwinRCTs provide a scientifically-sound method for using deep learning and historical patient data to improve clinical trials. $50M / Series C / Feb 08, 2024
See all 50 investments →

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FAQ

What does Necessary Ventures invest in?

Necessary Ventures invests primarily in Health Care, Software and Artificial Intelligence startups, most often at Seed and Series A stage. Most of the 50 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 Necessary Ventures's check size?

Necessary Ventures typically joins rounds of $3M–$9.3M at Seed, $125k–$3.3M at Pre-Seed and $9M–$28M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Necessary Ventures participates in.

How do I contact Necessary Ventures?

Public channels for Necessary Ventures include LinkedIn, X (Twitter) and the website linked on this profile. 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.

Who are the partners at Necessary Ventures?

The team at Necessary Ventures includes Neil Devani (Founder and Managing Partner). The Team section lists each member with their title, investment count and links.

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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