Isabelle Selles

1 month ago | cbinsights.com | Isabelle Selles

We mined the CB Insights database to map 170+ AI agent startups across 26 categories. We also provide an outlook on AI agents’ progress, limitations, and future directions. “Digital coworkers” are moving from concept to reality. Implications for enterprises will be far-reaching, from altering workforce composition (with new hybrid teams of humans and AI agents) to maximizing operational efficiency through full automation of routine tasks.

1 month ago | cbinsights.com | Isabelle Selles

From increasing specialization to rising infrastructure markets, here’s where the opportunities lie across the AI agent landscape. View 250+ companies developing AI agentsBelow, we outline 4 AI agent trends to watch in 2025 based on CB Insights data:Big tech and leading LLM developers dominate general-purpose agent use cases: Tech giants’ AI developments will make agents better, cheaper, and more pervasive in 2025, while also putting more pressure on private players.

2 months ago | cbinsights.com | Isabelle Selles

As performance gaps narrow and model costs drop, the open vs. closed model debate is in the spotlight. This brief explores enterprise adoption in the landscape and the cost dynamics reshaping the divide. Note: For the purposes of this analysis, we consider “open-weight” models (like Llama) to be on the “open-source” model spectrum. Graphic excludes reasoning models.

2 months ago | cbinsights.com | Isabelle Selles

We dig into the implications of China-based DeepSeek’s rapid ascent on the AI infrastructure landscape, the private sector, and enterprise AI strategies. China’s DeepSeek has upended assumptions about what it takes to develop powerful AI models. The AI company, which emerged from Liang Wenfeng’s hedge fund High-Flyer, released an open-source reasoning model (named R1) in January 2025 that rivals the performance of OpenAI’s o1 reasoning model.

Dec 6, 2024 | cbinsights.com | Isabelle Selles

From screening resumes to conducting assessments and handling questions, we map the new wave of companies automating employee hiring and break down what HR leaders need to know about the market. Hiring workflows, from sourcing candidates to scheduling interviews, are ripe targets for generative AI-led task automation.