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Emergent: Capital Raising
Emergent, a vibe-coding (AI-powered code generation) startup founded in 2025, has raised $100 million as of January 2026. The company is experiencing exponential growth and the CEO is speaking publicly about hiring and scaling.
Source: TechFundingNews
The leadership read
Fresh capital usually broadens artificial intelligence leadership bench strength — scale, go-to-market and operational depth — rather than any single appointment.
Market context: Against a Talent Market Index of 107.8 (Hot) (up 2.4 month-on-month), Americas is at rising (+15.4pts) on signal share.
Emergent: 2 signals in the last 90 days — above the Artificial Intelligence median of 1 across 88 tracked companies; 0.2% of MitchelLake's Asia signal flow; 2 tracked across 38 days.
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Also at Emergent →
More signals across Artificial Intelligence
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HIVE →HIVE (Physical AI startup) secured $15M in pre-Series A funding led by SuperSeed, with participation from Veriten, Skyfall, Nysnø and angel investors. Company expanding from Europe into US.
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Together AI →Together AI raised $800 million in Series C financing at an $8.3 billion post-money valuation. The round was led by Aramco Ventures with participation from Vista Equity Partners, General Catalyst, Emergence Capital, NVIDIA, March Capital, Pegatron, S Ventures, and others.
Capital Raising · Americas
Prosper AI →Prosper AI raised $30 million Series A funding led by Andreessen Horowitz to expand AI voice agents for healthcare administrative workflows (scheduling, insurance verification, billing). This is the second round in less than a year; company previously raised $5M in September 2025.
Capital Raising · Americas
Anthropic →Anthropic has filed to go public and is expected to IPO soon. Co-founders have pledged to give away 80% of their wealth, with significant philanthropic capital expected to flow toward climate and AI-related ventures.
Capital Raising · Americas
Luma AI →Luma AI, Bay Area AI lab, has raised over $1.4 billion from a16z, Nvidia, and Amazon. The company is focused on world models and video/audio/image-based AI training, positioning itself as the next wave beyond LLMs.
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