Participated · Series A · Feb 2026

Newo builds an artificial-intelligence platform that creates human-sounding voice and text agents capable of answering, routing, and resolving customer inquiries across channels such as phone calls, SMS, web chat, and WhatsApp. Tailored for managed service providers, VoIP providers, software companies, and agencies serving small-to-medium businesses, the system is designed for production-grade use rather than experimentation. Partners can white-label and customize agents to engage SMB customers in sectors from dental practices and restaurants to home delivery and cleaning services. More than 15,000 AI agents have already been created on the platform, demonstrating early traction. The company plans to accelerate product development, grow its partner ecosystem, and scale go-to-market activities to meet rising demand. Newo has raised roughly $32 million to date through angel, seed, SAFE, and Series A financings, providing a solid capital base for expansion. The firm was founded by David Yang and Luba Ovtsinnikova and operates out of San Francisco, California.

Participated · Series A · Feb 2026

Algorized is building the intelligence layer for Physical AI, enabling robots and other machines to perceive human presence, sense intent, and adapt in real time. Its core product, the Predictive Safety Engine, is a ground-up edge-AI foundation model that interprets ultra-wideband, mmWave and Wi-Fi signals to provide through-wall, low-latency awareness—eliminating the traditional “safety vs. speed” trade-off in industrial automation. After a high-profile debut with KUKA and ASUS at CES 2026, the company is rolling out its technology with major automotive and industrial customers across Europe and the U.S. The new capital will fund commercial scale-up, continued R&D on intent-prediction models, and the expansion of engineering and support hubs in Switzerland and Silicon Valley. Backed by investors such as the Amazon Industrial Innovation Fund, Algorized positions its solution as a growth driver that unlocks latent capacity on factory floors. Although specific revenue or user numbers were not disclosed, the firm cites signed demand from Tier-1 manufacturing partners as evidence of early traction.

Led · Seed · Feb 2025

Mattoboard offers web-based software that lets interior designers and architects mix and match more than 1,000 virtual materials, build 3D mood boards, and manage design projects in a centralized hub. The platform uses 3D twins for materials to simulate how surfaces interact with light, shadow, and reflections, and users can upload images of their own products. Mattoboard aims to consolidate tools designers currently use across Canva, Pinterest, Photoshop and 3D renderers while adding a searchable marketplace to discover and buy materials. The company plans to launch Design Stream, an AI-driven visual search and discovery tool that accepts natural language and visual inputs and will be trained on custom models specific to the design industry. Since launch, around 200,000 designers have used the free platform, and over 2,000 designers pay for the Pro tier at $30/month. Mattoboard intends to use new funding to expand its material database and partner with global suppliers to “bring every material in the world online.”

Participated · Series A · Oct 2024

MiLaboratories has developed Platforma.bio, a no-code computational biology platform and open-source SDK that lets bioinformaticians and biologists process, visualize and aggregate NGS data and distribute specialized tools as apps. The product incorporates data visualization and generative AI to boost usability and is designed as a marketplace for third-party apps; around 300 labs used the beta and about 20 apps are available to date. The company targets bioinformaticians and aims to free them from routine data-processing work so they can focus on higher-value algorithm and research tasks. MiLaboratories says it has patented technology that enables up to 10x processing efficiency versus some workflows, addressing the scale and cost challenges of petabyte-scale sequencing data. The startup offers the software free to academics and a paid model for commercial users; it reports approaching 100 paying customers, including big pharma names such as Moderna and Bristol-Myers Squibb, and says it has revenue that reduces dependence on venture funding. Near-term plans emphasize community building: hiring engineers and developer advocates to drive adoption and encourage academic and industry developers to wrap and contribute apps to the platform. MiLaboratories develops MiXCR, a software suite that analyses genomics data to build a complete picture of immune response at the DNA level. The founding team has published on adaptive immunity since 2009 and originally built an R&D algorithm that became the basis for MiXCR. The product now incorporates AI and cloud calculation features to analyse and process massive genomic datasets and present results in a visually friendly format. The company says MiXCR can process around 1TB of genomics data on a standard MacBook Pro in one hour, versus days for other solutions. MiXCR was used in preclinical and phase 1 R&D by pharmaceutical companies during the discovery of COVID-19 vaccines, though client names are not disclosed. The startup has raised seed capital and plans to use new funds to develop a next-generation MiXCR and expand its Latvia-based office.

Led · Seed · Sep 2024

Monda provides a SaaS data monetization platform that enables companies to start, run, and scale their data business. The platform is already used by over 150 data-as-a-service companies that have created more than 6,000 data products. Monda has built partnerships and integrations with cloud data marketplaces from Google Cloud, Databricks, and SAP. The company plans to use new funding to expand operations in the US, grow its partner ecosystem, and enhance the platform to make data monetization easier for companies of all sizes. Founded in 2024 by Thani Shamsi and Richard Hoffmann and headquartered in Berlin, the team has doubled to 32 people since the beginning of the year. Co-founder Thani Shamsi said AI has driven massive demand for high-quality datasets and that Monda was created to make it extremely easy for any company to build a safe, fast-growing, and sustainable data business.