AI's New Brain: How Valona is Plugging Market Intelligence into Your AI

HELSINKI, FINLAND – June 16, 2026 – In the rapidly escalating AI arms race, a new front has just opened. It’s no longer about simply having AI; it’s about what your AI knows. Today, market intelligence leader Valona Intelligence launched its Model Context Protocol (MCP) server, a move that signals a fundamental shift in how businesses will leverage artificial intelligence for competitive strategy.

The new offering acts as a high-fidelity data pipeline, connecting enterprise AI platforms like Microsoft Copilot and Claude directly to Valona’s two decades of curated market and competitive intelligence. Instead of asking a generalist AI to scour the raw, chaotic web for insights, companies can now plug their AI directly into a stream of validated, decision-ready analysis, transforming these powerful tools from productivity aids into strategic advisors.

This development addresses a critical bottleneck in the enterprise AI revolution. While a recent McKinsey study notes that nearly nine in ten organizations are using AI, most are deploying the same foundational models. The true competitive advantage, as Valona’s launch underscores, will be forged by the unique, high-quality data that feeds these systems.

The Intelligence Layer: Moving Beyond Generic AI

The promise of AI has always been to augment human decision-making, but its output is notoriously dependent on its input. Inconsistent, outdated, or unvetted data leads to unreliable and expensive-to-generate insights. Valona's approach aims to solve this by creating a dedicated, trustworthy "intelligence layer" for enterprise AI.

"The competitive advantage does not come from having AI. It comes from what the AI has to work with," said Stuart Reynish, Chief Product Officer at Valona, in a statement accompanying the launch. "Regenerating the same analysis from scratch every time is expensive and inconsistent. The intelligence behind every decision should be validated, current, and ready to act on."

This is the core proposition of the MCP server. It provides AI agents with access to a foundation of intelligence that is continuously built, curated, and maintained by Valona's hybrid engine of AI and human analysts. The company, which has served Fortune 500 clients since 1999 and was recently named a Leader by both Gartner and Forrester, leverages a platform that monitors over 200,000 verified global sources across more than 115 languages. The MCP server makes this entire apparatus available on demand within the tools employees use every day.

From Periodic Reports to "Always-On" Strategy

For decades, strategic planning has operated in cycles, relying on quarterly reports, annual market analyses, and periodic research projects. Valona’s new server is a direct challenge to this legacy model, enabling a shift to what the company calls "always-on intelligence."

Instead of a strategy team commissioning a report on a competitor's move and waiting weeks for an answer, a C-suite executive could now ask their AI assistant, "What are the strategic implications of our top competitor's latest product launch in Southeast Asia?" and receive an immediate, context-rich answer drawn from Valona's validated data—which includes not just news and market signals but also integrated quantitative financial data, a capability enhanced by Valona's 2025 merger with A-INSIGHTS.

"The intelligence layer is the hardest part to get right. We have spent two decades building it," noted Eetu Laaksonen, Valona's Chief AI Officer. "MCP is how we make it available across the enterprise AI tools our customers are already using, and increasingly, as part of broader AI ecosystems they are actively building."

This shift is elevating the conversation around market intelligence from a departmental function to a C-suite-level strategic imperative. As Laaksonen added, "We are now in conversations with IT and senior leadership alongside CMI teams, because organization-wide intelligence is becoming a strategic decision."

An Open Standard for a New Era of Agentic AI

Perhaps the most forward-looking aspect of Valona's announcement is its commitment to an open standard. The Model Context Protocol is not a proprietary Valona creation but an industry-wide initiative, initially introduced by Anthropic and supported by the Linux Foundation's Agentic AI Foundation. By building its server on this open protocol, Valona is betting on an interoperable future.

This is particularly crucial for the emerging field of Agentic AI—autonomous systems that can plan and execute complex, multi-step tasks. These agents, predicted to be in 40% of enterprise apps by 2026, require reliable, structured, and trustworthy data sources to function effectively. An open standard like MCP allows specialized intelligence providers like Valona to become trusted nodes in a larger AI ecosystem, rather than creating walled gardens.

This approach provides a stark contrast to a fully proprietary model and could set a precedent for how specialized data and intelligence are consumed in the AI era. It fosters better data governance, traceability, and trust, allowing enterprises to build sophisticated AI workflows with confidence in the underlying information.

The Competitive Edge in a Crowded Market

Valona operates in a competitive space, with players like Klue, Crayon, and AlphaSense all vying to provide businesses with a market edge. However, the launch of the MCP server sharpens its unique selling proposition. Valona is no longer just a platform to log into; it's a foundational intelligence source that integrates seamlessly into a company's entire digital nervous system.

The company’s hybrid model of AI-powered collection and human-curated analysis, combined with its vast global reach and integrated financial data, already provided a strong foundation. By delivering this intelligence via an open standard directly to the point of decision, Valona is positioning itself not as another tool, but as the trusted context provider for the next generation of enterprise AI. As a select group of enterprise customers begin piloting the MCP server, the wider business world will be watching closely. This move could well be a blueprint for how human expertise and specialized knowledge are not replaced by AI, but become the essential fuel that makes it truly intelligent.