Large Language Models

Fangzhou's recent AI supply chain award signals a major strategic shift in digital health, moving the focus from front-end chatbots to back-end logistics.

As AI answer engines replace traditional search, Muck Rack’s spin-out of Generative Pulse signals a massive shift from SEO to Generative Engine Optimization.

Current AI models mimic language fluency but break native grammar. ZWAG AI's new correctness layer aims to fix this for 2,400 languages without retraining.

Qlik's new MCP server integration with Anthropic’s Claude aims to solve enterprise AI hallucinations by providing a trusted, governed data layer.

With EU regulations like DORA and CRA now in active enforcement, JFrog is leveraging AI to turn software binaries into their own cryptographic defense lawyers.

The new Claude connector transforms AI from a simple chatbot into a real estate engine, balancing MLS data protection with fair housing safeguards.

A new partnership between Getfluence and Meteoria reveals how marketers are weaponizing paid editorial content to manipulate AI search engine answers.

Defiance ETFs has rebranded a five-year-old quantitative fund, injecting real-time large language models to cure the chronic lag of momentum investing.

Catalyst Performance is the first fitness brand to win Singapore's SME AI Impact Award, proving that proprietary data is the ultimate competitive advantage.

To trust AI with our economy, we need more than probabilistic models. We need deterministic systems that understand what business data actually means.

AtScale's new AI suite tackles the enterprise accuracy gap by linking natural language to governed business metrics, transforming how agents process data.

As AI models demand complex reasoning over basic data, Toptal enters the RLHF fray, turning its elite freelance network into a high-margin training engine.

As AI and satellite networks push infrastructure to the brink, an expanded partnership between two test vendors aims to rival industry heavyweights.

Companies are pouring billions into AI, but a new KDAN report reveals why legacy PDFs and unstructured data are keeping ROI out of reach for most enterprises.

Appier's new SMITH framework, accepted at NeurIPS, lets small AI models build their own tools—cutting enterprise token costs by an astonishing 97%.

As federal agencies retreat, a massive coalition of Fortune 500 CEOs is bypassing traditional silos to build a private-sector shield for U.S. infrastructure.

As managers increasingly rely on AI for promotions and terminations, Perceptyx Anywhere launches to fix the glaring empathy gap in enterprise language models.

Dragonpass’s integration of Alibaba’s Qwen AI signals a massive shift in the membership economy, turning passive perks into predictive travel assistants.

Voiskey's Product Hunt success highlights a shift toward 'expression intelligence,' but cloud-based AI keyboards carry hidden enterprise security risks.

While Silicon Valley builds AI for 5G smartphones, blackNgreen is leveraging 1980s telephony to bring LLMs to the 3.4 billion people offline.