Led · Series A · Jul 2026

LinqAlpha builds a platform that lets institutional investors deploy specialized AI agents that synthesize thousands of signals and learn each user's unique investment framework to surface differentiated insights. The company was founded by Jacob Choi, Subeen Pang, Jin Kim, and Hojun Choi and brings together former Goldman Sachs analysts and MIT computer science PhDs. Since launch, LinqAlpha has been adopted by over 70 financial institutions across the U.S., Europe, and Asia, including sell-side teams at investment banks and buy-side clients such as Causeway Capital Management and Schonfeld Strategic Advisors. Collectively, its buy-side clients manage more than $5 trillion in assets. LinqAlpha is headquartered in New York and plans to use its Series A proceeds to expand its global team, deepen dataset integrations, and accelerate deployment across equities, macro, credit, and multi-asset strategies. The company frames its product as an "Alpha Intelligence Layer" designed to help institutional teams synthesize fast, interconnected public-market signals into actionable judgment.

Led · Series A · Jun 2026

Isometric operates Certify, an AI-agent platform designed to read and cross-check large volumes of evidence behind industrial claims—such as sensor data, satellite images, supply chain records, and lab results—to flag discrepancies and surface only cases needing human judgment. The platform aims to compress certification timelines from around 12 months to hours by enabling auditors to review entire datasets rather than samples. Isometric began by validating carbon removal projects and has contracted more than 16 million tonnes of carbon removal across over 200 projects. Its customers include Microsoft, Boeing, JPMorganChase, and Anglo American, and in December 2024 it received concurrent accreditation from ICVCM, ICROA, and CORSIA. Founded in 2022 and based in London and New York, the company plans to expand Certify into additional industrial certification markets and pursue a much larger addressable market estimated at $350 billion.

Led · Series B · Apr 2026

Orkes builds and operates Conductor, a platform and runtime designed to orchestrate durable, long-running, non-deterministic workflows that include branching, retries, tool calls, and human-in-the-loop steps. The company says Conductor has been widely adopted by enterprises for mission-critical workflows and for building AI agents. Orkes recently open-sourced Agentspan to foster community-driven development of agentic applications and runtimes. The Series B provides $60M in growth capital to double down on the platform and support accelerated adoption as application and agent building accelerates. The announcement frames the company as positioned at an inflection point for software where durable execution, state, and observability are becoming critical. No revenue, user, valuation, or founding-year details were disclosed in the announcement.

Led · Series B · Mar 2026

Qdrant builds a high-performance, composable vector search engine that lets engineers combine dense and sparse vectors, metadata filters, multi-vector representations, and custom scoring functions at query time. Written entirely in Rust, the platform gives teams granular control over indexing, scoring, filtering, ranking, and latency-versus-precision trade-offs, making it suitable for retrieval-augmented generation, semantic search, and agentic reasoning. The engine deploys flexibly across cloud, hybrid, on-premises, and edge environments and is already used in production by enterprises such as Tripadvisor, HubSpot, OpenTable, Bazaarvoice, and Bosch. Its open-source project has surpassed 250 million downloads and accumulated 29,000 GitHub stars, highlighting strong developer adoption. Qdrant has been recognized in The Forrester Wave: Vector Databases (Q3 2024), GigaOm’s Radar for Vector Databases v3 (2025), and Sifted’s 2025 B2B SaaS Rising 100. The company’s recent Series B financing strengthens its ability to scale these offerings and cement composable vector search as core AI infrastructure.

Led · Equity · Feb 2026

Selector offers a unified observability and network intelligence solution that integrates large language models, knowledge graphs, and causal reasoning to deliver real-time root-cause analysis, predictive maintenance, and automated remediation. The platform replaces siloed monitoring tools with a single pane of glass, giving operations teams contextual insights across cloud, network, and application layers. In 2025 the company’s cumulative annual recurring revenue reached 230 % of 2024 levels, marking its fourth consecutive year of doubling ARR, and new ARR booked jumped to 370 % of 2024. Approximately 80 % of its customers are Fortune 1000 firms, including three new Fortune 20 customers in manufacturing and healthcare. Selector has expanded globally via cloud marketplaces, regional partners, and an initial push into Japan. The firm recently secured eight foundational U.S. patents covering LLM training, causal inference, and network path intelligence, and it plans to launch an enhanced Agentic ChatOps capability for multi-turn reasoning. Headquartered in Santa Clara, Selector is backed by a roster of telecom and enterprise-focused investors.