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Triatomic Capital
Palo Alto, United States
Triatomic Capital invests in “century‑defining” deep‑tech themes, targeting breakthroughs in compute infrastructure, AI hardware, automated economies, novel materials, engineered biology, and next‑generation energy solut...
Portfolio
11+
Employees
10+
Founded
2022
AUM
≈ $0.0
Investment focus
Stages
Pre-Seed → Series A
Industries
HardwareArtificial IntelligenceBiotechnologyBlockchain & Cryptocurrency
Geographic scope
Global
Sources
Triatomic Capital
Triatomic Capital invests in “century‑defining” deep‑tech themes, targeting breakthroughs in compute infrastructure, AI hardware, automated economies, novel materials, engineered biology, and next‑generation energy solutions. The firm seeks founders building transformative technologies that can reshape entire industries and create long‑term value.
Portfolio
11+
Employees
10+
Founded
2022
AUM
≈ $0.0
Stages
Pre-Seed → Series A
Industries
HardwareArtificial IntelligenceBiotechnologyBlockchain & CryptocurrencyEnergy
Geographic scope
Global
Sources
Showing 11 of 11 matched portfolio companies
BetterOmics is a cloud-native platform that integrates multiomic and unstructured data to provide real-time analytics for life sciences research, enhancing data sharing and collaboration across institutions. The platform addresses the challenge of siloed data by enabling efficient data orchestration and traceable insights, accelerating the pace of scientific discovery and compliance with regulatory standards.
Funding: $25.0M
Rough estimate of the amount of funding raised
Sofinnova PartnersTriatomic Capital
Sofinnova PartnersTriatomic Capital
Funding: $25.0M
Rough estimate of the amount of funding raised
Chalk provides a unified data platform designed specifically for building and serving AI and machine learning applications. It offers ultra-fast data pipelines, on-demand compute, and built-in scheduling and caching within the customer's cloud environment. This infrastructure simplifies data engineering workflows, enabling teams to deploy real-time models with low latency and maintain auditability across training and serving.
Chemify is a platform that digitizes chemistry and chemical discovery by executing chemical code for drug discovery, synthesis, and materials development. This technology accelerates the synthesis of complex molecules and enables the creation of extensive functional libraries, enhancing reproducibility and efficiency in molecular optimization.
Funding: $57.1M
Rough estimate of the amount of funding raised
Bill & Melinda Gates Foundation
Bill & Melinda Gates Foundation
Funding: $57.1M
Rough estimate of the amount of funding raised
Coworker is an AI agent that provides enterprise-wide context to automate complex tasks and deliver deeper analysis. It securely integrates with over 40 applications to act as organizational memory, enabling teams to offload operational work and focus on strategic initiatives.
Funding: $13.0M
Rough estimate of the amount of funding raised
Jeff Huber
Jeff Huber
Funding: $13.0M
Rough estimate of the amount of funding raised
D-Matrix has developed Corsair, an AI inference platform that achieves 60,000 tokens per second with 1 ms latency for Llama3 8B models, significantly enhancing throughput and energy efficiency in datacenters. This technology addresses the high computational costs and energy consumption associated with large-scale AI inference, enabling organizations to scale their AI capabilities sustainably.
Funding: $161.3M
Rough estimate of the amount of funding raised
Temasek Holdings
Temasek Holdings
Funding: $161.3M
Rough estimate of the amount of funding raised
Edison Scientific provides an AI platform designed to automate and accelerate scientific research and development workflows. This platform synthesizes literature, analyzes complex datasets, and supports molecular design to move from hypothesis to validated results rapidly. It enables researchers to perform extensive analysis in parallel, delivering comprehensive reports with publication-ready figures.
Elegen utilizes proprietary cell-free DNA synthesis technology to produce long, complex, linear DNA up to 7 kb with 99.999% accuracy, eliminating the need for cloning. This rapid synthesis, delivered in 6 to 8 business days, addresses the critical bottleneck in DNA supply for synthetic biology applications, significantly reducing project timelines and costs.
Funding: $56.6M
Rough estimate of the amount of funding raised
Triatomic Capital
Triatomic Capital
Funding: $56.6M
Rough estimate of the amount of funding raised
iPronics develops integrated programmable photonic systems that utilize photonic circuits for high-speed data processing. This technology provides efficient and scalable solutions for telecommunications and data centers, meeting the demand for faster and more energy-efficient information transfer.
Funding: $11.7M
Rough estimate of the amount of funding raised
Funding: $11.7M
Rough estimate of the amount of funding raised
Lyten utilizes proprietary Lyten 3D Graphene to develop lithium-sulfur batteries that offer higher energy density and reduced weight for electric vehicles, addressing the limitations of traditional lithium-ion batteries. The company also creates advanced composite materials and resonant sensors that enhance performance while minimizing carbon footprints across various industries.
Funding: $200.0M
Rough estimate of the amount of funding raised
Export-Import Bank of the United States
Export-Import Bank of the United States
Funding: $200.0M
Rough estimate of the amount of funding raised
This company operates a high-throughput in vivo (HTV) discovery engine that combines massively multiplexed in vivo screening with AI-powered design. The engine sculpts pharmacokinetics and biodistribution properties of biologics directly within living systems to solve tissue-specific delivery challenges. Manifold Bio develops targeted medicines, including modular shuttles, optimized in vivo for precise payload delivery across various tissues.
Funding: $77.2M
Rough estimate of the amount of funding raised
Triatomic Capital
Triatomic Capital
Funding: $77.2M
Rough estimate of the amount of funding raised
MatX manufactures specialized hardware designed for training and inference of large AI models, delivering up to 10× more computing power for workloads with over 7 billion parameters. This enables researchers and startups to efficiently train advanced models, significantly reducing the time and cost associated with developing state-of-the-art AI systems.
Funding: $119.9M
Rough estimate of the amount of funding raised
Spark Capital
Spark Capital
Funding: $119.9M
Rough estimate of the amount of funding raised