Jul 8, 2025

VC funding: QEDMA, Parter, Sundial, Castellum.AI, Brainfish 08/07/2025 Several tech startups — QEDMA, Parter, Sundial, Castellum.AI, Brainfish, among others, have announced their venture capital funding to bolster innovation and business growth. VC funding for tech QEDMA Secures $26 mn QEDMA, an Israeli quantum noise resilience startup founded in 2020 by Prof. Netanel Lindner, Dr. Asif Sinay, and Prof. Dorit Aharonov, secured a $26 million Series A round led by Glilot Capital Partners’ Glilot+ fund, with new participation from IBM and Korean Investment Partners alongside existing backers such as TPY Capital. The strategy targets quantum computing error mitigation to accelerate practical quantum advantage by enabling larger and more reliable computations. Funding will support platform enhancement, device partnerships, and commercial deployments. Its software integrates with existing hardware and IBM’s Qiskit, offering error suppression and mitigation to bolster algorithmic performance. Benefits include enhanced quantum reliability, scalability, and accelerated path to usable quantum computing. Parter Secures $5.5 mn Parter, an AI-powered platform for hardware teams, raised $5.5 million in seed funding led by StageOne Ventures, with backing from Zenda Capital, Mercer Ventures, and angel investors including ex-Sequoia partner Shmil Levy and leaders from Cisco, Avalor, Datorama, Epsagon, and Innoviz. Based in New York and Tel Aviv, Parter helps hardware teams manage supply chain disruptions, tariffs, and fragmented data by unifying information across BOMs, ERP, and PLM systems. AI agents deliver risk alerts, compliance tools, sourcing automation, and predictive insights. The funding will support product development, U.S. expansion, and go-to-market efforts as the company launches out of stealth. Sundial Secures $23 mn Sundial, a San Francisco‐based AI analytics platform, raised $23 million to provide opinionated intelligence that helps executives make faster, data‑informed decisions. The strategy focuses on scaling product capabilities and accelerating sales and marketing efforts. The funding will support enhancements such as domain-specific AI models, real-time dashboards, and enterprise integrations. Technology analyzes and interprets complex datasets to surface elevated insights and contextual recommendations. Target customers include leadership teams across industries seeking clarity and speed in decision-making. Innovation lies in delivering predictive, narrative-rich analytics rather than raw metrics. Benefits include accelerated insight generation, reduced analysis overhead, and improved confidence in strategic actions. Castellum.AI Raises $8.5 mn Castellum.AI, a New York–based AI financial crime compliance platform, raised $8.5 million in a Series A round led by Curql, with participation from BTech Consortium, Framework Venture Partners, Spider Capital, Remarkable Ventures, and Cameron Ventures. Founded by Peter Piatetsky, the platform integrates in-house risk data, AML/KYC screening, and AI agents to reduce false positives by 94 percent and compliance review time by 83 percent out-of-the-box. Strategy centers on deploying explainable AI agents aligned with regulatory standards. Funding will support product scaling and enterprise sales expansion. Benefits include precise alerting, audit-ready decisions, streamlined compliance workflows, and better regulatory alignment. Innovation lies in combining proprietary data with AI-driven fincrime tools. Brainfish Secures $6.4 mn Brainfish, an Australian AI-powered customer experience startup co-founded by CEO Daniel Kimber, raised $6.4 million in a pre-Series A round led by Prosus Ventures, with existing support from Peak XV’s Surge and Macdoch Ventures. The strategy centers on embedding ambient AI agents with computer vision into digital products to proactively assist users. Funding will support U.S. expansion—opening a new headquarters—scaling engineering teams and accelerating product development. Brainfish’s technology monitors user interactions in real time and delivers contextual support before issues arise. Early adopters report 70–90 percent fewer support tickets, sub‑second response, and 30–40 percent increased satisfaction. Benefits include seamless customer experience, reduced support costs, and faster issue resolution. InfotechLead.com News Desk