

Fractal, a leading global AI solutions company, has launched Cogentiq, its latest agentic AI platform engineered to revolutionize enterprise-scale decision-making. With this announcement, Fractal aims to empower organizations with autonomous, intelligent agents capable of navigating complex business environments and driving measurable outcomes.
Cogentiq introduces an enterprise-grade system for creating, managing, and deploying AI agents that integrate seamlessly with existing business processes. These agents are designed to go beyond task automation, functioning instead as reasoning-driven digital collaborators that can adapt, learn, and act based on real-time business context.
Elevating Enterprise AI with Cogentiq
According to Fractal, Cogentiq addresses the growing need for scalable, explainable, and operational AI within enterprises. While many companies have begun experimenting with generative AI tools and large language models (LLMs), scaling them for enterprise use cases has proven challenging due to concerns around data security, accuracy, and integration.
Cogentiq aims to bridge that gap with a robust decision intelligence framework. The platform enables enterprises to build AI agents equipped with multi-modal reasoning, knowledge graphs, and large language models. These agents are capable of analyzing structured and unstructured data, generating insights, and autonomously taking actions aligned with business goals.
Speaking about the launch, Srikanth Velamakanni, Co-founder and Group CEO of Fractal, stated, "Cogentiq is not just a product—it’s a vision to embed AI as a native part of every enterprise’s decision-making fabric. With agentic AI, we believe businesses can significantly enhance productivity, reduce decision latency, and deliver greater customer value."
What Makes Cogentiq Unique?
Cogentiq differentiates itself from traditional AI platforms through its agentic architecture—a system in which software agents behave with autonomy, memory, and a goal-oriented mindset. Unlike chatbots or rule-based RPA tools, these agents operate persistently within enterprise environments, making context-aware decisions across diverse domains such as marketing, finance, supply chain, and customer service.
Key features of Cogentiq include:
- Agent Studio: A visual, no-code interface to design, test, and manage AI agents tailored for enterprise functions.
- Hybrid Intelligence Engine: Merges generative AI with deterministic rules, structured data, and knowledge graphs for explainable decision-making.
- Enterprise API Integration: Built-in connectors for leading CRM, ERP, and data management systems.
- Security and Governance: Enterprise-grade safeguards to ensure data privacy, traceability, and auditability of AI-driven actions.
- Real-time Observability: Tools to monitor agent behavior and performance, ensuring accountability and continuous improvement.
Fractal claims that the platform supports both human-in-the-loop and fully autonomous decision workflows, giving organizations flexibility in how they deploy AI within their operational models.
A Growing Market for Agentic AI
The launch of Cogentiq comes at a time when global enterprises are accelerating their AI adoption. A recent Gartner report indicated that by 2026, over 60% of large organizations will deploy AI agents to manage strategic and operational decision processes. As AI moves beyond experimentation into enterprise-wide deployment, platforms like Cogentiq are expected to play a pivotal role.
According to Fractal, early pilots of Cogentiq are already underway across sectors including banking, insurance, consumer goods, and healthcare. Use cases range from dynamic pricing models and fraud detection to marketing campaign optimization and real-time inventory management.
Pranay Agrawal, Co-founder and CEO of Fractal Analytics, noted, “Cogentiq represents a culmination of our decade-long experience in decision sciences. It’s built to support real-world complexity—not just in data, but in how decisions are made, measured, and scaled.”
Outlook and Availability
Cogentiq is now available to enterprise clients globally through Fractal’s commercial channels and partner ecosystem. Pricing and deployment models are tailored based on enterprise size, domain, and integration scope.
Fractal also announced plans to release industry-specific agent libraries and frameworks over the next two quarters. These pre-configured agents will address common decision challenges in industries such as retail, BFSI, and healthcare—accelerating time-to-value for clients.
With the launch of Cogentiq, Fractal is making a bold statement in the rapidly evolving landscape of enterprise AI. As organizations increasingly demand AI tools that are secure, explainable, and capable of real-time reasoning, platforms like Cogentiq could become foundational to business transformation strategies. The platform’s focus on agentic behaviour, combined with robust governance and enterprise readiness, positions it as a timely and promising entrant in the AI-for-enterprise space.