Participated · Series A · Jul 2026

Alta builds an intelligence-native GTM platform that centralizes a "Company Brain" to orchestrate coordinated AI agents across prospecting, research, multi-channel outbound, inbound qualification, AI calling, and continuous optimization. The platform integrates with partners such as Salesforce, HubSpot, IBM, and Google and connects to 60+ GTM tools. Alta reports rapid commercial traction—hitting its first million in revenue within months of commercialization—and is projecting 800% revenue growth for the year. Its customer roster includes enterprise and SMB users such as Snowflake, Deel, Atlassian, Atoms, Riverside, and Sabio Group. Founded in 2023 by Stav Levi-Neumark, Tom Hoffen, and Mor Shabtai, Alta plans to use the Series A proceeds to expand globally, grow its customer base, and add new data, CRM, and advertising integrations plus agents for account management and cross-selling.

Participated · Series B · Feb 2026

Nimble is a New York-based web search startup whose platform uses large language model agents to crawl the internet in real time, verify and validate the information, and convert it into database-like tables. The product integrates directly with enterprise data warehouses and lakes from providers such as Databricks and Snowflake, allowing live web data to sit alongside a company’s internal datasets. This capability supports use cases like competitive intelligence, pricing research, KYC, brand monitoring, deep research, and financial analysis while keeping customer data inside existing infrastructure for compliance. Nimble currently serves more than 100 customers, with most revenue coming from Fortune 500—and even some Fortune 10—organizations across retail, finance, CPG, and AI-native sectors. Management positions the company as solving the “data failure” bottleneck that limits real-world AI deployments. With the new funding, Nimble plans to expand R&D into multi-agent web search and a governed data layer that further validates search outputs. To date, the company has secured $75 million in total capital.

Participated · Series B · Jun 2025

Enter provides digital building intelligence and AI-driven renovation planning to accelerate energy-efficient retrofits. Its app digitally records any property in minutes, capturing material analysis, energy status, and modernisation needs while a proprietary AI engine generates tailored renovation paths adjusted for CO₂ pricing, subsidy programs, energy costs, and climate targets. The platform automatically suggests implementation partners from a nationwide network of over 100 qualified contractors and automates assessments, quote generation, and compliance with subsidy programs. Enter reports a 70% reduction in manual steps for energy assessments, a 60% decrease in operational staff requirements, and says one employee now performs the work of four energy consultants; over 30,000 buildings were fully analysed in Q2 2025. Founded in 2020, the company is scaling across Germany to address the large stock of European buildings needing upgrades. Financially, Enter has raised €40 million since founding and is using its recent Series B funding and prior technology investments to bring its technology to the mass market. Enter (formerly Baupal) offers a digital home energy assessment platform that asks eight to nine questions to produce a data-rich profile (about 250 data points) and estimates of energy-saving potential with roughly 90% accuracy. The service generates a digital twin of the building, recommends energy-efficiency measures, handles subsidy applications, and arranges site visits by Enter’s own energy consultants to verify data. Enter packages project planning and financing options to address homeowners’ concerns about affordability—citing that 75% of homeowners worry they can’t afford renovations. The company’s technology is positioned to accelerate renovation volumes beyond the capacity of traditional certified consultants. Leadership and advisers include co-founders/managing directors Justus Menten and Max Schroeren and a set of business angels and industry advisers referenced in reporting.

Participated · Seed · Feb 2025

Perfect provides an AI co-pilot for recruiting teams that helps write job posts, determine where to run them, and triage inbound applicants. The platform was built from the ground up without third‑party large language models, using a proprietary vector dataset and annotated recruitment data purchased and cleaned from other providers. Perfect says its tools can save recruiters as much as 25 hours per week and has grown its customer base to about 200 businesses in the year since it opened, up from roughly 20 early customers. The company was founded by Eylon Etshtein, previously founder of Anyvision, and spent around three years in stealth developing its stack. Perfect competes with incumbent recruitment tools such as Indeed and LinkedIn while integrating into industry workflows. Future plans include expanding its recruiter toolset and launching a free tool for candidates to better target job searches, which would also supply additional data for the platform. Perfect is an AI-driven, question-based recruitment platform that scans dozens of public data sources to find and recommend technology professionals. The company says it has mapped the profiles and career graphs of millions of U.S.-based technology professionals. Its talent search tools are free to use, with paid subscribers receiving additional tools to refine searches and outreach. Perfect positions itself as a “Spotify for talent,” adapting recommendations to each company’s hiring preferences. The company plans to use new funding to increase market penetration and accelerate product development. Perfect counts tech customers such as Incredibuild, RocketVisor and RTP Global among its users.

Participated · Equity · Feb 2025

Voyantis applies AI to thousands of data points to predict a customer’s future propensity and lifetime value, and feeds those predictions as signals into ad networks and marketing automation platforms. The platform generates recommendations and targeted actions (for example, when to offer an upsell) and stores only anonymous usage data to protect privacy. Voyantis serves commercial enterprises across industries including fintech, mobile apps, direct-to-consumer, and product-led growth, and counts MoneyLion as a customer. The company competes with firms such as DataScience, Pecan, Ocurate, and Black Crow AI. Voyantis says it has tripled its annual recurring revenue for two consecutive years, signaling strong growth momentum. The startup plans to use new funding for product R&D and to expand its roughly 70-person Tel Aviv-based team. Voyantis offers an AI-driven marketing optimization platform that analyzes a company’s internal business data to surface customer buying preferences and prediction-based insights for ad campaigns. The platform provides integrations with popular advertising and marketing automation tools so businesses can act on predictions and incorporate insights into campaigns. Voyantis says customers have realized an average 47% increase in return on advertising spend using its platform. The product targets retailers and other companies scaling online customer acquisition and retention by identifying high-value and high-retention customers. The startup also positions itself to ease enterprise data science teams' workloads by automating complex data analysis and prediction tasks. Voyantis launched from stealth with $19 million in funding and is promoting adoption through predictive-driven campaign automation and platform integrations.