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Source document· June 1, 2026

Enterprise Software Leaders Build AI Agents With NVIDIA

View original at finance.yahoo.com
Enterprise Software Leaders Build AI Agents With NVIDIA NVIDIA Enterprise Software Leaders Build AI Agents With NVIDIANVIDIA today announced new software, open source models and partnerships with the world’s leading software platform providers to build autonomous AI agents for industries and enterprises across engineer…
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What we drew from this source

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  • NVIDIA Nemotron 3 Ultra delivers up to 30% lower cost for complex agentic tasks

    60% confidence

  • NVIDIA Nemotron 3 Ultra delivers 5x faster inference for complex agentic tasks compared to prior models

    60% confidence

  • The world's software leaders are bringing AI agents into the systems where work gets done, showing how AI coworkers help employees think faster and execute complex tasks to solve bigger problems, and NVIDIA NemoClaw provides enterprise software developers with the open building blocks to create more secure long-running AI coworkers that amplify human expertise

    60% confidence

  • CrowdStrike and Palantir are transforming cybersecurity and operational decision-making with long-running AI agents powered by Nemotron open models, enabling teams to analyze data faster and streamline operations across complex environments

    60% confidence

  • Cadence, Dassault Systèmes, Siemens and Synopsys are using NVIDIA NemoClaw to build autonomous AI engineers that compress weeks of engineering work into hours

    60% confidence

  • Autonomous AI agents require a software layer called a harness to turn a model into an agent with functions like orchestration, context, memory, tool use and security

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise AI Agents Go Mainstream, But Trustworthy Data Access Lags Adoption
A wave of enterprise AI agent activity — fresh funding (Latitude's $35M Series A), a run of CB Insights CEO interviews spotlighting fintech- and healthcare-focused agent startups (Covecta, Penguin AI, Maisa AI), and major platform partnerships (Microsoft-Mistral, Manulife-Microsoft AI governance, Siemens-NVIDIA agentic EDA, Box's agent security controls) — signals agentic AI moving from pilot to production across financial and enterprise workflows. Yet Google Cloud's own research shows adoption is outrunning data readiness (companies average AI access to only 45% of their data, with 'data laggards' capped near 30%), while insider selling at incumbent C3.ai hints at mixed investor conviction even as the broader ecosystem accelerates.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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