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The Venture Codex

LDV Capital

111 East 14th Street #102, New York, NY, 10003, United States

Overview

LDV Capital is an early stage venture fund that invests in people building visual technology businesses. LDV collaborates with deep technical teams that leverage computer vision, machine learning, and AI to analyze visual data. LDV Capital has been investing in pre-seed and seed stage teams across North America and Europe since 2012 from New York City. With LDV's inner circle of computer vision experts, serial entrepreneurs, technical advisors, growth hackers, marketers, and more, LDV leverages their network to help founders navigate the challenges of building a visual tech business.

Total investments
37
Lead investments
10
Investments · 12mo
1
Active investors
3

Sector focus

  • Agriculture
  • Artificial Intelligence (AI)
  • Computer Vision
  • Food and Beverage
  • Logistics
  • Machine Learning
  • Photography
  • Software
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Investment portfolio

  • VitVio

    Participated · Seed · Oct 2025

    VitVio builds an AI-powered platform that fuses computer vision and ambient sensing to generate a live 3D model of the operating room, showing exactly who is doing what, when and why during surgery. The system automatically logs surgical phases, coordinates staff assignments, prepares operative notes, and issues real-time alerts for deviations from standard procedure. Anonymized, end-to-end-encrypted data flows into a secure dashboard integrated with hospital information systems, giving administrators actionable insights on utilization, case flow, and resource allocation. These analytics help hospitals pinpoint bottlenecks, reduce waste, and sharpen scheduling precision, resulting in measurable efficiency and financial impact. All patient data is anonymized at the point of capture to protect privacy. With fresh capital, the company plans to accelerate commercialization across U.S. hospitals and expand its engineering, operations, and other key teams. VitVio has raised a total of $10 million to date. The company was co-founded by CEO Thomas Knox, CTO Dr. Peter Rennert, COO Maks Kozarzewski, and CPO Aleks Pajewski.

  • Fieldstone Bio

    Participated · Seed · May 2025

    Fieldstone Bio programs microbes to sense specific compounds and visibly respond — for example changing color when they encounter nutrients, TNT residue, or arsenic. The startup spun out of MIT in 2023 from professor Chris Voigt’s lab and has developed methods to visualize engineered cells from long distances. Their workflow isolates microbes from target environments, installs DNA sensor parts tailored to each compound, and selects strains that persist and produce detectable optical signals. Fieldstone plans to disperse microbes via drones and later image the area with hyperspectral cameras, then use AI models to identify the microbes' specific wavelength signals and produce high-resolution maps. Applications cited include agriculture (soil nitrogen mapping), national security (landmine detection), and environmental contamination mapping (e.g., arsenic). The company recently raised $5 million in seed funding to move from lab testing to real-world trials and is engaging regulators such as the EPA as it develops deployment protocols.

  • Gardin

    Participated · Seed · May 2025

    Gardin builds an optical photosynthesis sensor combined with AI to measure crop photosynthesis in real time, providing growers early insight into plant health and development. The system is deployed across more than 20 crop species, from algae to tomatoes. Led by CEO and founder Sumanta Talukdar, the company is based in Oxford, UK. Gardin plans to use the new funding to enhance its platform and expand its commercial team to grow its customer base across continents. The article reports a $4.5M Seed 2 financing, which represents the company’s latest outside funding. No revenue or user metrics were disclosed in the article. Gardin combines remote optical sensors with machine learning to provide growers detailed, non-destructive measurements of individual-plant physiological performance. Its sensors can detect growth anomalies such as underwatering days earlier than expert agronomists, enabling faster corrective action. The product targets controlled-environment agriculture — greenhouses and indoor/vertical farms — where light and temperature can be regulated. Gardin plans to expand its product lineup with crop forecasting and nutritional density mapping, ramp up production capabilities, and continue marketing across Europe and North America. The company has seen strong interest from the sector and reports a steady sales pipeline. Since launching in 2020, Gardin has raised a total of $12 million, including the recent seed round. Gardin develops optical phenotyping hardware and accompanying analytics software to measure and monitor nutritional value of food across the supply chain. The company uses multispectral data fusion, remote sensing and computer vision to capture biochemical signatures and quantify plant physiology and compound density with high fidelity. Its full‑stack product is designed to run like an OS in the background, integrate with existing producer architectures, and optimise growing environments to lower costs, reduce carbon footprint and cut waste. Gardin targets both traditional agriculture and controlled environment agriculture (CEA) and aims to become a new food‑production gold standard. The startup has partnered with crop and plant physiologists and phenotyping experts to identify key biochemical mechanisms for different crops. Gardin has secured pilot trials with supermarket chains, food producers and vertical farms that are ready to go live early this year, and recently raised external pre‑seed funding.

  • ResiQuant

    Led · Seed · Mar 2025

    ResiQuant is a San Francisco-based provider of an autonomous property intelligence platform. Its platform uses AI agents that combine structural engineering intelligence with automated underwriting to help US property carriers assess catastrophe risk and scale underwriting where others retreat. The product aims to convert escalating catastrophe risks and operational challenges into opportunities for profitable growth and more resilient communities. The company raised $4M in Seed funding. It intends to use the proceeds to expand operations and advance development efforts.

  • DANNCE.AI

    Led · Seed · Nov 2024

    DANNCE.AI offers a digital phenotyping platform that uses AI to reconstruct a patient’s movement in 3D from multi-camera video and converts it into quantified, clinician-friendly readouts of movement and behavior. The platform’s behavioral quantification workflow, built on markerless pose tracking, recapitulates doctors’ findings and analyzes gross and fine movement to unlock otherwise inaccessible clinical insights. Clinicians and drug developers can use the outputs to diagnose patients, calculate impairment severity, and monitor change over time. The technology originated at Harvard University (research beginning in 2016) and was further advanced at Duke; the team licensed the platform from both universities in August 2024 to transition it from academic to clinical use. Leadership includes CEO Rob Baldoni, with Dr. Tim Dunn as CSO and Dr. Jesse Marshall as an advisor and co-founder. The company intends to use the funds to expand operations and accelerate development efforts.

Team

  • Evan Nisselson

    General Partner and Founder

    LinkedIn
  • Don Loeb

    LDV Corporate Development Advisor - Headlands West

    LinkedIn
  • Andrew Bloom

    Limited Partner

    LinkedIn