Valona Intelligence has unveiled its new Model Context Protocol (MCP) server, a solution designed to connect artificial intelligence platforms with external intelligence sources. As an open standard, MCP enables enterprise AI tools and agent frameworks—including Microsoft Copilot, Claude, and others—to access Valona's market and competitive intelligence directly within their workflows.

Artificial intelligence has become a standard component of modern business operations. According to McKinsey's 2026 research, nearly 90% of organizations now utilize AI technologies. However, as AI adoption becomes widespread, the differentiating factor is no longer access to the technology itself, but the quality and relevance of the information powering it.

"Organizations gain an advantage not from AI alone, but from the intelligence feeding those systems," said Stuart Reynish, Chief Product Officer at Valona. "Our MCP server allows enterprise AI platforms to draw upon continuously updated market and competitive insights. Rebuilding the same analysis repeatedly is both costly and inconsistent. Decision-making requires intelligence that is accurate, current, and immediately actionable."

The company believes that strategic decision-making is evolving from periodic research efforts to a model of continuous intelligence. Instead of requiring AI agents to generate analysis from raw information every time, Valona's MCP server provides access to a curated and constantly maintained intelligence foundation that is readily available whenever needed.

"The intelligence layer is the most challenging element to develop effectively, and we've spent more than twenty years refining it," said Eetu Laaksonen, Chief AI Officer at Valona. "MCP enables us to integrate that intelligence into the AI tools our customers already rely on, while also supporting the broader AI ecosystems they are building."

Laaksonen noted that interest in enterprise-wide intelligence is expanding beyond competitive market intelligence teams. "We're increasingly engaging with IT departments and senior executives because intelligence is becoming a strategic capability across the organization. Customers are telling us they want critical insights delivered proactively, rather than having to search for them."

Valona is currently working with a select group of enterprise customers to pilot the MCP server within Microsoft Copilot and agent-driven AI environments. The company plans to showcase the technology during its webinar, What Agentic AI Means for Competitive Intelligence, scheduled for June 24.

OrcaRouter has introduced Routing DSL, a flexible and programmable routing framework designed to give developers greater control over how AI requests are analyzed, directed, executed, and optimized across multiple models.

Rather than relying on fixed model-selection mechanisms, Routing DSL enables organizations to create customized routing workflows using YAML configurations and CEL expressions. This allows AI requests to be dynamically routed based on factors such as task complexity, use case requirements, latency thresholds, budget constraints, safety considerations, and business-specific policies.

With Routing DSL, developers can implement advanced orchestration strategies, including:

Integrated directly into OrcaRouter's AI Gateway, Routing DSL supports more than 200 leading AI models through a single OpenAI-compatible API endpoint.

According to internal testing, thoughtfully designed Routing DSL configurations can deliver performance approaching that of advanced frontier models such as Claude Fable 5 while substantially lowering inference costs.

Instead of assigning every request to a single premium model, organizations can leverage Routing DSL to coordinate specialized models and parallel processing strategies, allocating computational resources only where they create meaningful improvements in output quality.

This approach introduces a new perspective on AI infrastructure:

Superior intelligence can be achieved through effective orchestration, not solely through larger models.

As AI applications become increasingly autonomous and agent-driven, routing decisions are evolving from a simple model-selection function into a critical component of application architecture.

Routing DSL serves as a programmable control layer for AI workloads, allowing organizations to define how intelligence is assembled, managed, governed, and optimized within production environments.

When combined with OrcaRouter's adaptive routing capabilities, observability tools, governance framework, safety guardrails, and Agent Firewall, Routing DSL provides a comprehensive platform for building scalable, reliable, and cost-effective AI systems.

Routing DSL is now available to all OrcaRouter users.
Documentation:
https://docs.orcarouter.ai/routing/routing-dsl
Learn more about OrcaRouter:
https://www.orcarouter.ai
Supported Models:
https://www.orcarouter.ai/models

OrcaRouter
Phone: +1 650-609-7501
Email: 416828@email4pr.com

Beelink has unveiled its first range of devices powered by Intel’s newest Wildcat Lake low-power platform, introducing enhanced performance, AI processing, and energy efficiency to compact computing solutions. The lineup consists of two mini PCs and a NAS-focused system, making Beelink among the first manufacturers to integrate Wildcat Lake technology across multiple device categories.

Intel 18A Brings Major Architectural Advancements
The foundation of the new platform is Intel’s cutting-edge 18A manufacturing process. Featuring RibbonFET gate-all-around transistor technology and PowerVia backside power delivery, the process delivers substantial improvements in energy efficiency, thermal management, and signal integrity over earlier FinFET-based designs. Paired with Intel’s latest Cougar Cove performance cores and Darkmont efficiency cores, Wildcat Lake is engineered to provide stronger performance while consuming less power.

Powering the entire Beelink Wildcat Lake family is the Intel Core 3 304 processor. The chip combines one performance core with four efficiency cores, integrated Xe3-LPG graphics, and a dedicated neural processing unit (NPU) designed for AI-driven tasks. Compared with the previous-generation Core i3-N305, the Core 3 304 offers up to 120% better single-threaded performance and approximately 60% higher multi-threaded performance. It also delivers up to 24 TOPS of AI computing capability, enabling local AI inference, intelligent productivity features, and real-time AI-enhanced applications.

Designed for Diverse Computing Needs
Each of the three new Beelink systems includes dual USB4 connectivity and 10GbE networking, while catering to different usage requirements.

The EQ mini is designed for streamlined desktop environments, featuring an ultra-compact footprint and an integrated 45W power supply. It is aimed at everyday productivity tasks and AI-enhanced workflows.

The EQi expands networking capabilities with both 10GbE and 2.5GbE Ethernet connections, along with a built-in 85W power supply. This configuration makes it well suited for networking applications, edge computing deployments, and demanding multitasking scenarios.

The ME Pro merges mini PC performance with NAS functionality in a single compact device. Equipped with dual 3.5-inch drive bays, alongside 10GbE and 2.5GbE networking, it is built for storage-intensive workloads, AI processing, and professional productivity tasks.

Compact AI-Powered Computing for the Mainstream
The launch reflects the increasing demand for compact desktop systems that combine AI readiness, strong connectivity, and power-efficient operation. By integrating AI acceleration with low-energy hardware, Beelink is targeting a wide range of users, including home consumers, content creators, small businesses, and edge computing deployments.

Through its new Wildcat Lake-based portfolio, Beelink seeks to make Intel’s 18A technology and advanced AI capabilities available in affordable, energy-efficient systems, helping bring AI-powered PCs further into the mainstream desktop market.