Participated · Seed · Feb 2025

Edgecom Energy provides energy management software and solutions designed to help commercial and industrial facilities optimize energy consumption and reduce costs. Its platform includes peak demand predictions, demand response, real-time monitoring, and distributed energy resource (DER) management. The company leverages AI to enhance data collection and decision-making and offers an AI Energy CoPilot. Founded in 2016 and based in Toronto, Canada, Edgecom is focused on expanding into new energy markets. The company raised $2.5M in a seed round to support market expansion and accelerate growth of its AI-powered Energy CoPilot.

Participated · Seed · Oct 2024

Molg develops robotic Microfactories and software to autonomously disassemble complex electronic products such as laptops and servers, recovering valuable components and materials for reuse. The company is building a Design for Disassembly (DfD) Toolchain that integrates with CAD to enable predictable, repeatable disassembly sequences and to guide circular product design. Under a DOE-backed project, Molg will deploy five robotic Microfactories to harvest laptop batteries faster and at lower cost, and will launch its first microfactory at a Sims Lifecycle Services facility. Molg is working with consumer electronics OEMs including HP to design new laptop models for enhanced circularity and to help partners meet sustainability targets. The company is also partnering with Virginia Commonwealth University and Rewriting the Code to develop workforce training for robot technicians and sustainable product designers. Financially, Molg announced a $5M DOE grant and recently closed a $5.5M seed funding round with strategic investors. Molg develops robotic microfactories and design-for-circularity services to keep electronics and electrical components in circulation by recovering valuable components and materials. The company’s core product is an autonomous robotic disassembly microfactory that can process complex devices such as laptops and servers. Molg partners with manufacturers to redesign products for automated recovery and already works with companies including HP, Dell and ABB Robotics & Automation Ventures. The team has installed robotic disassembly microfactories at Sims Lifecycle Services and is rolling out to IT asset disposition (ITAD) facilities of leading hyperscalers. Molg is headquartered and operates a manufacturing facility in Sterling, Northern Virginia. The company recently closed a $5.5 million seed funding round to scale production capacity and meet growing customer demand for circularity and automation.

Participated · Series A · Dec 2022

Zaphiro Technologies develops SynchroGuard, a smart-grid IoT software platform that leverages high-speed, time-synchronized measurements from Phasor Measurement Unit (PMU) devices adapted for distribution grids. The platform uses advanced data analytics to deliver full visibility of energy flows and asset status with a minimal number of measurement points, enabling fault location in seconds and reducing grid operation costs. Zaphiro positions its product to help grid operators manage the impacts of renewables and electric vehicles on distribution-grid stability. The company has already attracted several well-known power-utility customers across Europe, North America, the Middle East, and Asia. The startup plans to commercialize and expand its solution into new geographies and markets while continuing to innovate its technology. Zaphiro was founded in 2017 as a spin-off of EPFL. Zaphiro Technologies is a Swiss start-up founded in 2017 that develops SynchroGuard, a smart-grid solution combining new measurement devices and advanced data-processing algorithms. The product delivers real-time monitoring of grid status, efficient management of electricity flows, and rapid fault location to reduce blackout impacts. Well-recognized utilities including Romande Energie and China Light and Power are testing SynchroGuard and have praised its simple installation at strategic nodes and wide-area visibility. The company is led by CEO and co-founder Dr. Paolo Romano. Zaphiro says the recent financing will be used to accelerate product development and go-to-market activities. The team positions the technology to support utilities in integrating renewables and electric vehicles while maintaining grid stability.

Participated · Series B · Aug 2022

Mavenoid provides an AI-powered support platform tailored to products and devices, offering intelligent troubleshooting, remote support, and self-service tools for pre-sale and post-sale needs. Its proprietary AI parses documentation and customer intent to deliver personalized support experiences. Customers achieve self-service resolution rates of 58% and up versus a 9% industry average, and report customer satisfaction above 90% for complex issues. Mavenoid recently launched Generative Answers to surface the most relevant product knowledge instantly and Vision Assist to let users pre-fill product information by scanning labels. Both features are in beta with select customers and are planned to be available to all later this summer. The company closed a $6M debt financing with HSBC in April 2024 to fund continued technology investments in generative and vision AI. Mavenoid provides both AI-enabled self-service assistants and human-led interactive video support to help hardware and consumer electronics companies automate technical support and onboarding. The product combines OpenAI's GPT-3 with proprietary algorithms to build optimized, high-quality support models that index documentation, manuals and FAQs for non-linear troubleshooting. Live support lets agents guide customers via smartphone video, annotate the view, and feed improvements back into the AI models. Mavenoid integrates with CRM, ticketing, ecommerce and knowledge‑base systems and can be embedded on websites or linked via QR codes. The company has expanded into more than 50 languages and added integrations with Salesforce, Zendesk, Shopify, Zapier and others. With the new funding it plans to double down on AI and product development and scale its technology globally. Mavenoid builds an AI/ML-powered automated product support platform that lets customers self-serve on installation, usage, and complex troubleshooting tasks. Unlike generic chatbots, the platform can handle the entire span of support requests, reducing support costs and resolution times. The company has signed deals with several Global Fortune 500 companies, including HP and ABB, indicating traction with large customers. Founded in 2017 by two former Palantir employees and based in Stockholm, Mavenoid has positioned itself with technical support teams. Recently it raised $8 million (approx €7.1 million) in an investment round led by Mosaic Ventures alongside Creandum and Point Nine Capital. The round brings total funding to $10 million (approx €9 million), and Mosaic partner Simon Levene has joined the board. Mavenoid is a Stockholm‑based automated troubleshooting platform that serves as the first level of technical support for industrial equipment. Its product asks customers a series of structured multiple‑choice questions to narrow down issues and deliver diagnostic solutions, positioning itself as faster and more useful than free‑text chatbots. The company gives an example of diagnosing an electrical system problem via guided questions that produce actionable fixes. Mavenoid was founded in 2016 by two former Palantir employees and launched in 2017; its initial diagnosis engine was spun off from technology developed at the Swedish Institute of Computer Science (SICS). That SICS connection helped the company secure industrial customers such as Scania. Mavenoid recently raised $1.9 million and plans to use the funding to hire more people and expand beyond the Nordics.

Participated · Series B · Feb 2022

Automata builds an operating system for laboratories, combining modular robotic hardware, orchestration software, and unified data infrastructure to let scientists program experiments rather than robots. Its platform aims to close the gap between AI-driven computational biology and the manual workflows still common in wet labs, delivering higher experimental throughput, reproducibility, and resource efficiency. The company already serves five top pharmaceutical companies through repeat deployments and large-scale automation projects. New product work is focused on data and closed-loop experimentation capabilities that enable self-serve, AI-driven drug discovery. Automata plans to use fresh capital to scale global customer deployments and expand engineering, product, and customer-success teams. Headquartered in London, the company positions itself as the reference architecture for autonomous, software-defined labs in pharma, biotech, and advanced research.