Led · Seed · Jun 2026

Valence AI develops Pulse Emotion models and a patented audio signal processing pipeline that analyze live calls to classify emotional state from speech in real time, converting tone, pacing, and vocal cues into structured data. The company publishes its own foundation models trained on proprietary, demographically and neurotype-diverse speech datasets and reports 92% accuracy on internal benchmarks. Products include emotion-aware IVR, an Agent Assist copilot for live call coaching, emotionally intelligent AI voice agents, and post-call quality assurance; integrations include ElevenLabs and Cartesia. In production deployments Valence reports handle time reductions of 30% and improvements in customer satisfaction scores, close rates, and time to close, and it serves customers such as Harte Hanks, CustomerHD, and BPO Centers. Valence holds two U.S. patents issued in June 2026 covering its core signal processing pipeline and an extension for live haptic feedback, and its offerings are SOC 2 Type 2 and HIPAA compliant. The company plans to expand language coverage and deepen platform integrations as part of its near-term roadmap.

Participated · Seed · Jan 2026

Row64 delivers a real-time visual intelligence platform built from the ground up to handle billion-record datasets with sub-millisecond update speeds and interactive visualizations running at over 60 frames per second. Powered by an accelerated computing stack and technologies such as WebAssembly and WebGL, the software enables users to drill from high-level summaries to record-level detail, cross-filter, sort and search data as it streams in. The product aggregates data warehouses, lakes, streaming sources like Apache Kafka, IoT feeds and common file types, while also supporting unstructured formats such as PNG, MP4 and PDFs. Management positions the company against legacy BI tools, emphasizing Row64’s ability to generate operational intelligence “in the moment” rather than retrospective analysis. The founders are channeling game-engine techniques into business analytics and cite a total addressable market of roughly $85 billion. Fresh off a $4 million seed raise, the team plans to scale go-to-market efforts, deepen integrations with enterprise data ecosystems and keep enhancing real-time performance, visual quality and usability.

Led · Seed · Sep 2025

PostSig delivers an AI-native system of intelligence that extracts and analyzes critical business data from finalized contracts. Aimed at the capital markets sector, the platform replaces manual post-signature workflows, lowers operational risk, and converts contracts into strategic, revenue-generating assets. By surfacing actionable data, it helps data teams cut expenses and unlock new income streams from previously dormant agreements. The company, headquartered in San Francisco, is led by CEO Hendrik Bartel. With fresh capital, PostSig plans to broaden product capabilities, expand into adjacent industry verticals, and scale its go-to-market operations. Financially, the startup has raised $4.1 million in seed funding on top of a $1.2 million pre-seed round closed in 2024, bringing total disclosed funding to $5.3 million.

Participated · Seed · May 2024

Skej builds an AI meeting-scheduling assistant that you add to email threads (and later text via a phone number) to find and book meeting times for all participants. The service integrates with email platforms like Gmail and Outlook and with meeting and calendar tools such as Google Calendar and Zoom, with Outlook Calendar support coming in the next few weeks. Under the hood it uses multiple LLMs plus a proprietary “Skej brain” scheduling engine to interpret email language, match availability across time zones and preferences, and craft natural replies. The product is in public beta, is free while the team collects feedback, has more than 1,000 users, and the team plans to introduce a paid tier later. The founding team includes CEO Paul Canetti, his brother Justin, CTO Anindya Mondal and co-founder Simon Baumer (credited with creating the product core); the remotely distributed team comprises the three co-founders plus two full-time engineers. The company does not plan to build a standalone app and aims to remain agnostic to users’ existing tools and workflows.

Led · Seed · Apr 2024

Hatch provides a "Giving Intelligence" platform that unifies a nonprofit’s existing donor data and enriches it with up to 80 pieces of new information, including wealth signals, social data, and lifestyle insights from trusted third-party sources. The platform leverages AI to build comprehensive donor profiles that enable personalized outreach at scale. Hatch’s tools are designed to help fundraisers and marketers engage donors more effectively and raise more funds. The company raised $3M in Seed funding to support its growth. Proceeds will be used to accelerate product development, grow the team, and expand the customer base. Hatch is based in New York City and sells its solutions to nonprofit organizations. Hatch.ai has built an "Altruistic Intelligence" platform that leverages ethical AI, data enrichment, machine learning and predictive modeling to make nonprofit fundraising more effective. The platform generates a holistic profile of each donor and uses predictive modeling to identify people most likely to engage and give. Hatch aims to expand engagement beyond the small share of donors that organizations typically focus on, making data accessible even to volunteers. Moshe Hecht (CEO), formerly co-owner and CIO of charidy.com, and CTO/co‑founder Eyal Beigman, PhD, lead the company; Hecht draws on charidy’s experience raising $2B+ for charities since 2013. The company emphasizes ethical use of AI to unlock giving opportunities across a broader donor base. Hatch recently secured early funding to advance its product and go-to-market efforts.