Neura News

AI News

News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

64 articles
Product Launch

Bolt.new Opens Forge, Trading Anonymized Coding Sessions for a Trillion-Parameter Open Model

Bolt.new launched Bolt Forge on September 17, 2026, a research preview giving individual Pro subscribers 50X more usage on frontier open-source models in exchange for opt-in sharing of anonymized coding sessions. The data goes to Arcee AI, which will use it to train a trillion-parameter-class open-weight model released publicly for download. The preview runs from September 14 to October 14, 2026, with Teams and Enterprise workspaces excluded from all data collection.

Sep 184 minNeura News
AI Models

Mistral AI to Power Firefox Smart Window as Mozilla Extends Its AI Push to France and North America

Mozilla announced on September 16, 2026 that its Firefox Smart Window AI assistant is now powered by Mistral models, launching in beta across France and North America with the UK and Germany to follow later in 2026. The partnership pairs two open source advocates, with Mozilla citing open distribution and user control while Mistral gains consumer reach beyond its enterprise base. Mozilla says conversations are not saved on its servers by default and partners agree to zero data retention.

Sep 183 minNeura News
Industry

Cloudera and Mistral Team Up to Put Sovereign AI Inside Enterprise Data

Cloudera and Mistral announced a partnership on September 10, 2026, to deliver sovereign AI to enterprise data. The deal integrates Mistral models with Cloudera's hybrid data platform, letting enterprises train custom models on proprietary data in controlled environments, including private cloud, on-prem and air-gapped systems. The partnership targets regulated industries such as financial services, manufacturing and telecommunications, with Cloudera citing 30 exabytes of customer-managed data on its platform.

Sep 123 minNeura News
AI Models

fal Opens Developer Access to Meta's Muse Image Model

fal has launched developer and enterprise access to Meta's Muse Image agentic image generation and editing model, available via the Meta Model API at $0.01 per image. Muse Image uses a planner-plus-diffuser architecture with web search, code execution, and self-refinement to improve accuracy on complex prompts. The model supports generation, editing, and reference-driven composition, and is priced to make high-volume workloads economically feasible.

Sep 15 minNeura News
Product Launch

Orchestra Launches Agentic Control Plane for Enterprise Data and AI Workflows

Orchestra Technologies has launched its Agentic Control Plane, a platform that provides a single, context-aware interface for managing enterprise data and AI workflows. The platform integrates with existing data infrastructure and AI tools, offering a low-code builder and automated failure investigations. With $4.6 million in funding and customers like Experian and the San Francisco Giants, Orchestra aims to reduce operational overhead and accelerate AI adoption.

Sep 16 minNeura News
Funding

Skan AI Raises $63M to Turn Observed Work Into Enterprise AI Agents

Skan AI, a Menlo Park startup, raised $63 million in Series C funding to advance its AI agents that learn from observed employee work. The round was co-led by Cathay Innovation and Dell Technologies Capital, with participation from Citi Ventures, Bloomberg Beta, State Farm Ventures, and Wipro Ventures. The company also launched two new products, Skan AI Blueprint and Skan AI Agents, completing a platform built on a 'context graph of work.' Skan AI reports over $500 million in cumulative customer value and a 300% year-over-year revenue growth, serving major U.S. banks and Fortune 50 companies.

Aug 125 minNeura News
Industry

Meta's Muse Glimmer Brings Agentic AI to the Desktop, Sparking a Cloud vs. Local Cost Debate

Meta released Muse Glimmer, a 30-billion-parameter AI model designed to run locally on a single GPU, enabling always-on agentic workflows. The release has sparked debate over whether enterprises should shift from cloud-based AI to on-premises hardware, with analysts noting complex cost comparisons between capital expenditure and operational expenses. While local deployment offers control and predictable costs, quantization and hidden hardware costs complicate the financial decision.

Aug 118 minNeura News