Led · Seed · Jun 2026

Upriver provides a platform that autonomously manages the data layer for enterprise AI by identifying and resolving data quality issues, maintaining pipelines, and creating datasets with minimal manual intervention. Its agentic architecture combines contextual understanding of an organization’s data ecosystem with coordinated AI agents to validate and execute complex engineering tasks. The company integrates with major data platforms and development tools, including partnerships with Databricks and Snowflake and integrations with AI development tools like Claude and Cursor. Early customers include Unity, DMGT, and Nimble, which reported increased team productivity after implementing Upriver. Upriver plans to use its seed proceeds to expand engineering and go-to-market headcount, deepen platform capabilities, and accelerate deployments with enterprise customers to support broader AI adoption.

Participated · Seed · May 2026

Tensormesh builds and sells Tensormesh Inference, a SaaS inference platform that uses KV caching to store and reuse computed model state to avoid redundant GPU computation. The platform delivers up to 10x reductions in latency and GPU spend by serving repeated context from cache and reports cache hit rates, token-level cost breakdowns, and other performance metrics in real time. Tensormesh offers serverless, OpenAI-compatible API access for immediate use and reserved deployments for enterprises needing dedicated capacity and SLAs. The company also maintains and contributes to the open-source LMCache project (over 8,000 GitHub stars) and highlights integrations across vLLM, SGLang, TensorRT, and multiple cloud vendor offerings. Tensormesh is led by CEO Junchen Jiang and was founded by faculty, PhD researchers, and alumni from the University of Chicago, UC Berkeley, and Carnegie Mellon. The company has raised $24.5 million in total funding and markets a pricing model that bills cached input tokens at $0 for serverless deployments, with well-optimized customers regularly achieving cache hit rates above 70%.

Led · Seed · May 2026

NanoCo develops NanoClaw, a secure alternative to OpenClaw that runs AI agents sandboxed in containers to limit access to services and credentials. The project went viral after endorsements from figures like Andrej Karpathy and high-profile attention, driving rapid community growth to thousands of users. Founders Gavriel and Lazer Cohen pivoted from their prior AI marketing startup to focus on NanoClaw full time and secured partnerships with Docker and Vercel. Early adopters have included technical executives at companies such as Amazon, Gap, Google, Meta, SentinelOne and Accenture. NanoCo has begun booking enterprise customers and offers implementation services (forward-deployed engineers) to help businesses roll out NanoClaw and provide ongoing support. The company raised an oversubscribed $12 million seed to support its expansion and continued product development.

Led · Seed · Jan 2026

Factify is rebuilding the core document format by replacing PDFs with "Factified" records that embed identity, version history, governance rules, and machine-readable structure. Its Document-as-Infrastructure approach lets approvals, signatures, redaction, expirations, and compliance checks happen natively inside the file, giving both humans and AI systems a single authoritative source of truth. The company is initially targeting heavily regulated, document-intensive sectors such as banking, insurance, legal services, HR, and operations, where auditability and trust are critical. Early enterprise pilots report smoother AI adoption as more documents are Factified. Founded in late 2023 by computer-science professor Matan Gavish, the firm is headquartered in Tel Aviv and is building a U.S. footprint with a planned Pittsburgh hub for customer engagement and operations. Proceeds from its recent financing will expand engineering capacity, deepen the core platform, and support go-to-market efforts with regulated enterprises.

Led · Seed · Feb 2025

MirrorTab delivers a server-side web application protection solution that removes the client-side browser attack surface via proprietary isolation technology, obfuscating data, code, and APIs to secure web sessions. The product blocks harmful extensions, middleware, and malware from accessing APIs, infrastructure, data, and code while integrating with existing defense layers such as WAF and DDoS protections. MirrorTab’s approach aims to secure sensitive business, personal, and financial information without requiring additional software or plugins and without degrading user experience. The company emphasizes protection in high-stakes interactions like account takeovers and fraud, positioning its session-centric model as complementary to traditional detection-based tools. Founder Brian Silverstein, previously a co-founder of Honey, cites rising AI-enabled attacks and browser exploitation as core drivers for the product. MirrorTab plans to use its seed financing to aggressively build out capabilities, integrations, and commercialize its availability.