Nov 14, 2025

Quantexa, a global enabler of Decision Intelligence, unveiled Quantexa AI, the so-called next evolution of its Decision Intelligence Platform, now agentic ready. As organizations increase their use of large language models and smaller, purpose-built and domain-trained models, many are discovering a common limitation: when AI interacts “with fragmented or untrusted data, it can amplify inaccuracies, make flawed decisions, and create costly feedback loops.” Whether using general models or specialized ones, enterprises can only achieve accurate, explainable, and auditable outcomes when AI is “grounded in trusted, contextualized data that reflects the complete view of the business.” Securely accessing and contextualizing enterprise data for AI has prompted many organizations to “rethink their AI deployments and their broader data and operating models.” The breakthrough with Quantexa AI lies in its ability to democratize and operationalize contextualized enterprise data that can “interact bidirectionally with both LLMs and task-specific models using open industry standards.” This enables humans and AI agents to converse with data in context, combining the “reasoning power of LLMs with the precision of specialized models, so they can act and decide confidently and responsibly in real time.” It represents the next evolution in helping organizations leverage AI safely and effectively to serve customers better, “mitigate risk, and drive operational efficiency.” Unlike typical analytics tools or model platforms that can operate in isolation, Quantexa AI connects every layer of intelligence, from foundational data unification to “reasoning and action, in one governed environment. Quantexa AI leverages NLP pipelines, predictive analytics, graph machine learning, and agentic AI to deliver explainable insights and fully auditable decision-making.” Building and managing agentic systems can be complex and risky when data lacks trust. Quantexa’s new Agent Gateway addresses this “challenge with a secure orchestration and integration layer that enables agent-to-agent collaboration, enforces governance, and ensures explainability across distributed systems.” Enterprises can use LLMs from providers such as OpenAI , Claude, Mistral, and Gemini, or bring their own, “integrating seamlessly with existing enterprise stacks.” The Agent Gateway, powered by Quantexa’s MCP Server, standardizes how agents interact with “enterprise systems and data securely and at scale.” Agent Gateway Key Features Include: An agnostic approach connecting data, context, and leading LLMs through one trusted platform Governance, lineage, and compliance enforced at every step Secure multi-agent coordination at scale Support for open standards such as MCP and A2A for interoperable, decision-ready ecosystems With Agent Gateway, Quantexa is building on open standard-based frameworks with partners such “as Microsoft, Google, Accenture , and KPMG to ensure enterprises can operate AI safely, moving beyond insight delivery to decision execution.” Q Assist Workspace builds on Quantexa ’s agentic copilot capabilities, expanding the data and context currently available to users and “enabling them to converse with and be guided by their data.” Key Capabilities Include: