Real-time Analytics News for the Week Ending February 21

Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!

The European Commission has launched the Frontier AI Grand Challenge in collaboration with EuroHPC Joint Undertaking. The initiative aims to close the strategic gap in high-end AI by supporting the creation of “frontier” general-purpose AI systems capable of adapting across domains with minimal modification, and by leveraging Europe’s world-class supercomputing infrastructure.

The challenge invites leading European actors to develop frontier AI models with a computational capacity equivalent to at least 400 billion parameters. By using efficient, modular architectures like Mixture-of-Experts (MoE), these models are expected to set new benchmarks for performance and efficiency.

Real-time analytics news in brief

The Department of Energy’s Lawrence Berkeley National Laboratory introduced an AI-powered platform called the “Digital Twin for Chemical Science” (DTCS). The platform allows researchers to observe chemical reactions, adjust experimental parameters, and validate hypotheses simultaneously during a single experiment. The lab claims the advances made by the DTCS offer a significant step toward autonomous chemical characterization, where AI-guided experiments could accelerate the timeline for discovering and characterizing new materials and chemical processes for useful applications.

Crusoe announced the launch of Command Center, a unified operations platform designed to increase the resilience of the entire AI stack by providing a high-fidelity data foundation for massive AI workloads. Command Center creates a single source of truth to monitor, diagnose, and optimize AI workloads. By integrating deep observability with Crusoe Cloud’s orchestration capabilities, Command Center ensures every GPU hour is maximized by providing greater transparency and faster triage. 

Graphwise announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to turn “Python prototypes” into production-grade systems instantly. Graphwise GraphRAG is based on a trusted semantic layer that reduces hallucinations and delivers precise and verifiable answers. GraphRAG unites LLMs, enterprise data, structured knowledge, and multiple search methods to deliver transparent, verifiable, enterprise-ready answers. Unlike standard RAG, which “flattens” data into chunks, leading to lost relationships and hallucinations, GraphRAG treats the knowledge graph as a trusted semantic backbone, ensuring AI responses are grounded in verifiable enterprise facts and complex relationships.

Komprise announced Komprise AI Preparation & Process Automation (KAPPA) data services, a first-of-its-kind serverless compute offering for unstructured data. With KAPPA, organizations can create custom data services to meet any requirement in just hours, not months. This serverless compute offering for unstructured data allows IT and data experts to focus on the per-file function without having to provision or manage the infrastructure to process the operation across large datasets.

Onehouse announced Onehouse LakeBase, a database-speed serving layer built directly on open lakehouse tables. LakeBase serves ultra-low-latency SQL workloads directly from Apache Hudi and Apache Iceberg tables through a Postgres-compatible endpoint, without forcing you to copy data into warehouses or specialized serving systems.

People.ai announced a Model Context Protocol (MCP) integration for its SalesAI Platform, enabling revenue teams to access complete revenue intelligence directly within their existing AI workflows. Through People.ai’s Answer Platform, teams can now connect AI agents like Claude, Microsoft Copilot, ChatGPT, and custom AI agents directly to People.ai’s data layer, which combines structured CRM records with unstructured customer data.

Redpanda announced the availability of new core capabilities in the Redpanda Agentic Data Plane (ADP), including a centralized AI gateway, AI observability and evaluation via OpenTelemetry, AI agents, and unified authentication and authorization. Together, these features form a unified governance layer that allows enterprises to securely connect AI agents and Model Context Protocol (MCP) servers to live enterprise data with full visibility and control.

ThoughtSpot announced the launch of the next generation of Analyst Studio, introducing a new suite of capabilities to enhance how data teams deliver AI-ready data with speed, flexibility, and control. Key among the upgrades is SpotCache, a new feature offering unlimited analytics usage for AI workloads with fixed cloud costs, alongside a new native spreadsheet interface for governed, scalable data prep, and a new data prep agent that bridges the gap between flexibility and enterprise governance.

Virtana announced the latest version of its Model Context Protocol (MCP) Server, bringing full-stack enterprise visibility directly to AI agents and LLMs so machines can understand enterprise operations as complete systems rather than isolated signals. Opening the Virtana platform to a broad ecosystem of AI agents, automation systems, and large language models (LLMs), such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and Microsoft Copilot, enables AI to execute full-stack decisions across end-to-end enterprise environments.

Partnerships, collaborations, and more

DeepL announced that its Language AI platforms are now available on AWS Marketplace. This launch makes DeepL’s AI translation and writing solutions accessible to customers directly through AWS, simplifying procurement, deployment, and management of the DeepL API. 

DryvIQ announced the availability of a connector to Nasuni. The new connector enables organizations to migrate content into Nasuni at enterprise speed and scale, while providing a complete picture of their Nasuni content plus other unstructured data systems, including collaboration platforms, foundational storage, and line-of-business applications. The integration expands the companies’ partnership and delivers deeper, actionable intelligence across enterprise content.

F5 and Scality announced an expanded partnership to help organizations securely scale AI, analytics, and data-intensive workloads. By integrating the F5 Application Delivery and Security Platform (ADSP) with Scality’s highly scalable, S3-compatible object storage, the companies are enabling enterprises to deliver faster, more resilient, and more secure access to data across on-premises, cloud-native, and hybrid environments.

Kong announced that Solace has joined Kong’s Premium Technology Partner Program. By combining Solace’s real-time data movement with Kong’s API and AI connectivity, teams can now manage and govern APIs, events, Large Language Models (LLM), and MCP servers through a single control plane, applying consistent lifecycles, policies, authentication, and access controls across the entire data path. Solace delivers high-performance real-time data movement, event governance, and event-driven agentic AI orchestration.

Speedata announced a strategic partnership with Nebul, a European Private AI Neocloud provider. Nebul will deploy Speedata’s Analytics Processing Unit (APU) technology within its sovereign cloud infrastructure, enabling European enterprises to run advanced analytics and AI data processing workloads at scale, while maintaining full jurisdictional control over their data. By integrating Speedata’s analytics accelerator with Nebul’s European-owned infrastructure, enterprises can achieve performance gains and lower TCO on Apache Spark workloads while their data remains under European legal authority.

If your company has real-time analytics news, send your announcements to ssalamone@rtinsights.com.

In case you missed it, here are our most recent weekly real-time analytics news roundups:

• Real-time Analytics News for the Week Ending February 14
• Real-time Analytics News for the Week Ending February 7
• Real-time Analytics News for the Week Ending January 31
• Real-time Analytics News for the Week Ending January 24
• Real-time Analytics News for the Week Ending January 17
• Real-time Analytics News for the Week Ending January 10
• Real-time Analytics News for the Week Ending December 27
• Real-time Analytics News for the Week Ending December 20
• Real-time Analytics News for the Week Ending December 13
• Real-time Analytics News for the Week Ending December 6
• Real-time Analytics News for the Week Ending November 29