They help bridge the gap between machine operators and manufacturers by allowing quick access to documentation and spare part diagrams.
Anzu Partners is an investment firm that focuses on industrial and life science technology companies with the potential to transform their industries. We team with entrepreneurs to develop and commercialize technological innovations by providing capital and deep expertise in business development, market positioning, global connectivity, and operations.
Anzu manages approximately $400 million in capital commitments, primarily across two venture funds and a mezzanine revenue-based investing fund (“RBI”). The venture capital funds focus on investments in early-stage companies, ranging from pre-revenue to post-commercialization, where we have deep knowledge and relationships to drive value for investors. RBI provides capital through a non-dilutive preferred share vehicle to post-revenue companies, offering an alternative to traditional venture and debt financing. Anzu primarily invests in companies across North America, Europe, and Asia Pacific.
Founded in 2014, Anzu Partners operates a robust investment platform for industrial and life science technology companies. Anzu’s current portfolio consist of 25+ portfolio companies, and the firm has 12+ investment professionals, 200+ fund investors, and 25+ portfolio support staff. We have had several meaningful exits and manage an active pipeline of new opportunities in diligence, tracked through firm-wide pipeline reviews that cover 400-500 industrial and life science technology companies per year across the globe.
We focus on four key areas:
Robotics and Advanced Tools
Bioprocessing for Therapeutics
Synthetic Biology and Biomolecular Assembly
Nanomaterials and Electronic Materials
Biomaterials and Organic Materials
High Value New Consumables
Novel Fabrication Methods
Measurement & Monitoring
Microelectromechanical Systems Sensing
New Process Control and Automation Needs
Molecular Diagnostics & Characterization
Edge Computing and IoT
Computer-Aided Engineering Simulation
Artificial Intelligence and Data Analytics
Electronic Design Automation
Quantum and Computational Chemistry