GenAI/AI News Jun 13 25: Agents That Work, Browsers That Think, and Sales That Scale
Sales, ESG reporting, Financial Analysis and even AI CRM tools are being automated...
This morning Lucinda Linde was a guest rater, and pointed out that many of the articles today covered the automation of individual functions and tasks. The big models do a ton of things well, and we are seeing focused models delivering value too.
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Today there were 1 Important, and 5 Optional articles.
How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock
Rating: Important
Rationale: This article showcases a practical enterprise deployment of agentic generative AI to significantly streamline ESG reporting by integrating data retrieval, natural language interfaces, and orchestration via Amazon Bedrock. Analysts highlighted its robust architectural detail, impact on compliance-heavy workflows, and the broader implication of evolving best practices for agentic frameworks across structured data domains.
AlphaSense launches its own Deep Research for the web AND your enterprise files
Rating: Optional
Rationale: AlphaSense introduced a deep research agent designed to unify enterprise and web data access, with a particular focus on financial services firms and access to proprietary analyst content. While its proprietary datasets offer value in finance, analysts found the product lacked technical novelty compared to other search tools. They noted its high cost and steep learning curve limit its broader applicability.
The Browser Company launches its AI-first browser, Dia, in beta
Rating: Optional
Rationale: Dia is a newly launched, AI-first browser designed to act as an intelligent assistant by learning from users’ workflows, integrating context from emails, tabs, and browsing behavior. Despite interesting features like memory sessions and multi-tab orchestration, the analysts emphasized that it is still in closed beta, with many browser vendors already offering AI integrations, making this more of a conceptual experiment than an impactful innovation at this stage.
Introducing V-JEPA 2
Rating: Optional
Rationale: Meta’s V-JEPA 2 enhances video-based training and introduces limited physical reasoning capabilities intended to help AI “think before it acts,” particularly in robotics contexts. While Yann LeCun’s vision for AI with world models is reflected here, analysts felt the impact was niche and still theoretical, with current applications largely limited to robotic and logistics scenarios, not broadly relevant to most enterprise AI use cases.
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
Rating: Optional
Rationale: CRMArena-Pro is a new academic benchmark framework designed to evaluate LLM agents in multi-step, real-world enterprise workflows, spanning domains like customer service and sales. Since the briefing did not delve into the findings or its real-world adoption, it was treated as optional, though potentially useful for researchers interested in agent evaluation.
Apollo accelerates outbound sales at scale with Claude
Rating: Optional
Rationale: Apollo's integration of Claude to enhance outbound sales automates parts of the GTM motion, using generative AI to customize outreach at scale. Analysts acknowledged this as a tactical example of LLM usage in sales enablement but noted that it doesn't advance the state of agentic intelligence or demonstrate a novel technical implementation, placing it in the optional tier.
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Enjoy,
John Sviokla, and our AI Analysts Paul Baier, Amada Fetch, Ankaj Handa, Adam Rappaport and special guest Lucinda Linde.