Venice Raises $65M Series A at $1B Valuation Led by Dragonfly
Erik Voorhees' privacy-first AI platform Venice landed a $65 million Series A at a $1 billion equity valuation, its first outside capital, after hitting profitability in Q1.
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Insider Brief Dishio Holdings has raised a $2.5 million seed round at a $20 million valuation as the company looks to expand its AI platform designed to help restaurants turn guest data into repeat business. The newly formed company includes Dishio with its restaurant technology platform and restaurant marketing agency Dineline. Dishio Holdings is led […]
Read full articleErik Voorhees' privacy-first AI platform Venice landed a $65 million Series A at a $1 billion equity valuation, its first outside capital, after hitting profitability in Q1.
Insider Brief PRESS RELEASE — Tetrix, the AI investment platform for alpha-seeking limited partners in alternative markets, has announced it has raised a $15 million Series A round co-led by White Star Capital and Innovation Endeavors with participation from several high-profile angel investors. The funding will accelerate product development, team expansion, and global growth as Tetrix scales […]
Insider Brief PRESS RELEASE — Prosper AI, the leading AI platform to run the entire patient journey, has announced a $30 million Series A financing led by Andreessen Horowitz (“a16z”), with participation from Base10 and continued support from Emergence Capital, Y Combinator, and Company Ventures The financing follows a period of rapid adoption and market acceleration. Since […]
Prosus launched ToqanClaw, a no-code AI platform positioned as an European alternative to AI agents like OpenClaw.
Telepatia's AI platform could significantly reduce preventable deaths in Latin America by enhancing clinical efficiency and decision-making. The post Telepatia raises $33M Series A led by a16z to build an AI Doctor for Latin American hospitals appeared first on Crypto Briefing.
Insider Brief PRESS RELEASE — AlphaSense, the AI platform redefining market intelligence for the business and financial world, has announced the close of a $350 million funding round valuing the company at $7.5 billion — nearly double its most recent $4 billion valuation and bringing its total funding to well over $1 billion. This new financing follows AlphaSense’s rapid […]
Terra AI raised $20M in a Series A led by Khosla Ventures to scale its AI platform for mineral and energy subsurface exploration.
For the past few years, enterprise AI conversations have been dominated by optimism: bigger models, more pilots, faster automation. The prevailing assumption was simple — pick the right AI platform and progress would follow. Reality has been far less forgiving. Most IT leaders have discovered that production AI is significantly harder than early experimentation suggested. The real work begins not when a model performs well in isolation, but when it must operate inside environments that are secure, observable, and operationally durable. Recent research my company conducted with enterprise cloud architects and IT decision-makers confirms what many engineering teams already know instinctively: experimentation is easy. Operationalizing AI reliably, repeatedly, and at scale is the hard part. Once AI begins influencing real workflows, recommending decisions or triggering actions, the model quickly becomes the least interesting part of the system. The pressure shifts to everything around it.