Led · Seed · Apr 2026

Founded in 2024 by Alberto Garagnani and Moritz Beck and headquartered in Berlin, Zell provides an AI-driven sales management platform that analyzes sales calls to identify performance signals and automatically generates personalized coaching plans, including AI-driven role-play simulations. The company has validated its solution with enterprise and scale-up clients across the U.S. and Europe, including Pack, Revenue Excellence Partners, Commerciali Digitali, Ladle, and HomeTown. Zell intends to enhance its AI engine and expand its team and commercial operations following its recent pre-seed raise. The platform targets sales enablement and CRM automation use cases and is incorporated as Zell UG. The articles do not disclose revenue or user metrics.

Participated · Seed · Jun 2025

Waypoint AI has developed an AI Customer Support Engineer that supercharges escalation management by triaging, investigating, and resolving product defects. Its flagship product uses large language models and a proprietary Escalation Intelligence Knowledge Graph (EIKG) to stitch together documentation, chat threads, support and engineering tickets, commit notes, and internal tools. Waypoint automates intake, triage, and escalation report generation for customer support teams, assists engineers with investigation and resolution, and generates detailed timelines and postmortems for incident commanders. Enterprise customers including Kpler and Clickhouse, as well as OEMs and industrial software leaders deploying the product on‑premise, have reportedly seen mean time to resolution (MTTR) cut in half within weeks. Founded in 2024 and based in Prague, the company plans to scale the platform to meet customer demand. The newly announced €2.7 million pre-Seed funding will be used to grow its engineering office and accelerate product development and deployment.

Participated · Seed · Feb 2025

Ochy provides lab-quality running gait and biomechanics analysis using a standard smartphone camera and computer vision AI, delivering detailed posture and stride insights in about 60 seconds along with tailored recommendations. The platform serves users in 146 countries and is used by thousands of coaches and medical professionals. Ochy’s core product emphasizes accessibility — democratizing motion analysis so runners can get actionable feedback without specialized equipment. The company plans to enhance its computer vision AI, expand global reach, and strengthen community-driven initiatives. Ochy was founded in Rennes, France, in 2021 by Khaldon Evans, Perrine Chapot, and Victor Dequidt.

Participated · Seed · Feb 2025

Oso Semiconductor builds patent-pending, ultra-low-loss beamforming chipsets based on its Combiner-First™ architecture for phased array antennas operating at microwave and millimeter-wave frequencies. The company says its design can deliver up to 4x improvement in efficiency versus existing electrically steerable antenna (ESA) chipsets by reducing losses and simplifying phase shifting and combining. The technology and new algorithmic approaches were inspired by founder Dr. Matthew Anderson’s work at UC Berkeley and enable fewer amplifiers and a simplified chip design. Oso plans to use its recent funding to build pre-production beamforming chipsets and evaluation systems for initial customers in the SATCOM market. It intends to leverage those hardware platforms to secure additional customer commitments across SATCOM, 5G and radar applications. The firm positions its microchips as providing significant power and cost savings for antennas, particularly above 6 GHz.

Participated · Series B · Jan 2025

Prophecy is an AI-powered data copilot that offers a visual designer which generates standardized, open code to extract, transform and deliver structured and unstructured data across on-premises and cloud sources. Its platform automatically builds data pipelines and tests, generates documentation and suggests fixes, enabling data engineers and business users to develop, deploy and observe pipelines on cloud data platforms. Customers include Fortune 500 enterprises such as Amgen, HSBC and JPMorgan Chase, and the company supports tens of thousands of production pipelines delivering large volumes of data for AI and analytics. Prophecy helps organizations modernize, migrate and consolidate pipelines from legacy tools including Ab Initio, Alteryx, DataStage and Informatica. Financially, the company reported 3.5X revenue growth in FY'24 and 160% net revenue retention from existing customers. The company plans to use new capital to accelerate its roadmap and scale to serve more customers amid surging enterprise demand for AI and analytics. Prophecy offers a visual, low-code development platform (with code) for building reliable data-transformation pipelines, reusable "packages," and outputs in PySpark, Scala or SQL. The platform is available as a fully managed cloud service or on-premises and includes Data Copilot, an LLM-powered tool that generates pipelines from natural-language prompts. Prophecy aims to enable self-service data transformation for non-coding data teams while avoiding vendor lock-in by producing open-source code. The company plans to use new funding to scale the Prophecy platform and accelerate customer acquisition. Prophecy reports rapid commercial traction: around 100 employees, "thousands" of users across multiple Fortune 500 customers, and license deals that typically start in the hundreds of thousands, with some exceeding $1M. Management says revenue has grown 400% year‑over‑year since its Series A and that the business is doubling revenue every two quarters. Prophecy provides a low-code environment for data engineering that lets users seamlessly switch between a visual interface and a code editor, with changes reflected on both sides. The platform generates Apache Spark code and executes workflows through its Airflow service. Prophecy also built a transpiler to modernize legacy ETL pipelines and help enterprises migrate pipelines to the cloud. The company has partnered with Databricks and counts multiple Fortune 500 and Fortune 50 customers among its users. Prophecy plans to use recent funding to polish the product, expand go-to-market efforts, and continue building out its full-stack data engineering platform. Its co-founder emphasizes helping large enterprises move massive on-premises data engineering footprints into the cloud. Prophecy.io offers a SaaS low-code data engineering platform for data practitioners. The product combines visual drag-and-drop development with code on git, tests, continuous integration, and deployment to production. It provides column-level lineage that enables users to track every value from source systems to final analytics. CEO Raj Bains has launched a new SaaS version of the platform. The SaaS release will initially run on Databricks across AWS, Azure, and GCP and will later be expanded to other Spark providers. The company already counts several Fortune 500 customers for its enterprise product.