# Triatomic Capital

> Triatomic Capital is a VC fund in New York backing Software and Manufacturing. See 20 investments, check sizes, portfolio. Updated Aug 2026.

- Type: VC Fund
- Location: New York, United States
- Total investments: 20
- Last investment: Jun 2026
- Lead investor: 40%
- Last updated: Aug 2026
- LinkedIn: https://www.linkedin.com/company/triatomic
- X (Twitter): https://twitter.com/TriatomicCap
- Website: https://www.triatomic.ai
- Facebook: https://www.facebook.com/TriatomicCapital

Triatomic Capital is a VC fund in New York focused on Software and Manufacturing. Deep tech. Health tech. New economy. AI. Helping great entrepreneurs build 'century-defining' technologies & businesses.

## Round sizes

| Stage | Round size |
| --- | --- |
| Seed | $5M–$50M |
| Series A | $7M–$100M |
| Series B | $35M–$500M |

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| Software | 5 | 25% |
| Manufacturing | 4 | 20% |
| Artificial Intelligence | 4 | 20% |
| Computer | 3 | 15% |
| Life Science | 3 | 15% |

31 industries tracked in total.

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Series A | 10 | 50% |
| Series B | 5 | 25% |
| Seed | 2 | 10% |
| Series C | 1 | 5% |
| Post-IPO Equity | 1 | 5% |

### Country

| Country | Investments | Share |
| --- | --- | --- |
| United States | 14 | 70% |
| Japan | 1 | 5% |
| Spain | 1 | 5% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| Radical Numerics | Radical Numerics develops a unified AI model that comprehensively understands and generates biological data, integrating DNA, RNA, proteins, and all molecular components of living systems into a single framework. The company is known for its Evo and Evo 2 models, which are large biological AI models that have been trained on extensive DNAsequences. | $50M | Seed | Jun 15, 2026 |  |
| Zapata Quantum | Zapata Computing is a quantum software company that offers computing solutions for industrial and commercial use. It provides hardware-agnostic solutions for simulation, optimization, and machine learning applications in chemistry, finance, logistics, pharmaceuticals, engineering, and materials.Zapata Computing is a spun out of Harvard Universitylaunched by a group of Harvard scientists, including Alán Aspuru-Guzik.The company was founded in 2017 and is headquartered in Boston, Massachusetts. | $15M | Post-IPO Equity | Apr 08, 2026 |  |
| Gimlet Labs | Gimlet Labs is an applied research lab focused on developing next-generation AI infrastructure. | $80M | Series A | Mar 23, 2026 |  |
| Axiom | Axiom Math AI is information technology startup that builds self-improving superintelligence. | $200M | Series A | Mar 12, 2026 |  |
| MatX | MatX, a manufacturer of computer chips, is dedicated to constructing a computing platform for artificial general intelligence (AGI). Their specialty lies in creating hardware that combines profound domain experience tailored for large language models, graphics processing units, and various machine-learning models. By doing so, MatX aims to empowerdevelopers and programmers to enhance the efficiency, speed, and affordability of AI applications. | $500M | Series B | Feb 24, 2026 |  |
| Efficient Computer | Efficient is a computer architecture and software stack company that creates a general-purpose processor for embedded computing applications. The company's patented technology uses 100x less energy than state-of-the-art commercially available processors and is programmable using standard high-level programming languages like C and C++, as wellas the most popular AI/ML frameworks. This class-defining efficiency and flexibility makes possible a huge variety of high-value use cases ranging from DSP, to embedded analytics, to AI/ML, and many more. The Efficient architecture is inherently scalable from IoT to the edge: decade-scale, battery-powered edge computation & ML and mobile devices with 10-100x longer battery life. The unprecedented energy efficiency and flexibility provided by Efficient's architecture and software ecosystem solves the energy problem that is the main impediment to a broad range of important computing applications. | $60M | Series A | Feb 18, 2026 |  |
| d-Matrix | D-Matrix is developing a platform that enables data centers to handle large-scale generative AI inference with high throughput and low latency. The company’s offering includes the Corsair™ inference accelerator card, the JetStream™ I/O networking accelerator, and the SquadRack™ rack-scale system, all designed to work together to deliverefficient inference compute. Their technology brings memory and compute closer together, embedding processing inside memory to reduce data movement, improve speed, and energy efficiency. The stack also includes software tools for deployment, model debugging, and performance monitoring, enabling enterprises to scale inference workloads across models and usage scenarios. | $275M | Series C | Nov 12, 2025 |  |
| Chemify | Digitising Chemistry and Chemical Discovery | $50M | Series B | Oct 21, 2025 |  |
| Chalk | Chalk is a data platform that powers machine learning and generative AI. Chalk's best-in-class developer experience enables data teams to declare features and their dependencies with idiomatic Python in online, streaming, and batch environments. Chalk compiles these definitions into parallel pipelines that run on a Rust-based engine. Thesepipelines use the same source code to serve temporally consistent training sets to data scientists and live feature values to models. This re-use ensures that feature values from online and offline contexts match and dramatically cuts development time. With Chalk, engineers, data scientists, and analysts can focus on their unique products while Chalk seamlessly handles data infrastructure. | $50M | Series A | May 28, 2025 |  |
| iPronics | iPronics develops the innovative concepts of general-purpose integrated programmable photonic systems. | $20.9M | Series A | Jan 28, 2025 |  |

10 of 20 investments shown.

## Co-investors
- [Alix Ventures](https://shizune.co/investors/profile/alix-ventures) — VC Fund, 2 deals together
- [B Capital](https://shizune.co/investors/profile/b-capital-group) — VC Fund, 2 deals together
- [BlueYard Capital](https://shizune.co/investors/profile/blueyard-capital) — VC Fund, 2 deals together
- [Eclipse](https://shizune.co/investors/profile/eclipse-ventures) — VC Fund, 2 deals together
- [Eos](https://shizune.co/investors/profile/eos-advisory) — VC Fund, 2 deals together
- [Harpoon](https://shizune.co/investors/profile/harpoon-2271) — VC Fund, 2 deals together

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## FAQ

### What does Triatomic Capital invest in?

Triatomic Capital invests primarily in Software, Manufacturing and Artificial Intelligence startups, most often at Series A and Series B stage. Most of the 20 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 Triatomic Capital's check size?

Triatomic Capital typically joins rounds of $5M–$50M at Seed, $7M–$100M at Series A and $35M–$500M at Series B. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Triatomic Capital participates in.

### When did Triatomic Capital last invest?

The most recent investment recorded for Triatomic Capital closed in Jun 2026. Shizune tracks 20 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 Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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