As the AI market matures, the conversation is shifting.
Once dominated by the explosive potential of generative AI, the landscape is now more grounded, less reactive—more strategic. According to Gartner’s newly released Hype Cycle for Artificial Intelligence, 2025, organizations are moving from experimentation to scaled deployment, from hype to value. And at the center of this shift is a critical realization: AI that simply predicts is not enough. AI must also reason.
That’s why we’re proud to share that RelationalAI has been named a sample vendor in the Neurosymbolic AI category of Gartner’s 2025 AI Hype Cycle.
What is neurosymbolic AI—and why does it matter?
Traditional AI systems, including large language models, are exceptional at pattern recognition—but struggle with transparency, reliability, and reasoning. Neurosymbolic AI addresses these limitations by combining machine learning (the “neuro”) with symbolic reasoning methods like rules, logic, and knowledge graphs (the “symbolic”).
According to Gartner:
“The neurosymbolic approach leads to more powerful, versatile, and interpretable AI solutions… allowing AI systems to reason through more complex tasks.”
This evolution is crucial for enterprises.
Why? Because real-world decisions aren’t made in a vacuum. They’re made in context—within ecosystems of structured and unstructured data, governed by rules, policies, and relationships. Neurosymbolic AI is designed for exactly that: understanding complexity, preserving explainability, and improving reliability in decision automation.
How RelationalAI fits in
At RelationalAI, we’ve built a system from the ground up to operationalize exactly this kind of AI—AI that reasons.
We deliver:
- A relational knowledge graph to unite data and logic
- A powerful set of reasoners—graph, rule-based, predictive, and prescriptive—to ask and answer questions about your business-as-a-graph
- LLM integration and fine-tuning so your team can interact with data using natural language, safely and intelligently
And we do all this natively inside Snowflake—no data movement, no brittle integrations, and no compromises on security or performance.
Why this matters
RelationalAI’s inclusion in this year’s Gartner report validates a shift we’re already seeing across our customer base—from Fortune 500 leaders in retail and telecom to next-gen disruptors in fintech and logistics.
These teams aren’t just experimenting with AI. They’re embedding intelligence into the core of their business logic. And they need systems that go beyond black-box predictions to deliver transparent, explainable, scalable decision automation.
This is exactly where neurosymbolic approaches shine—and where RelationalAI leads.
What’s inside the Gartner report
Gartner’s Hype Cycle for Artificial Intelligence, 2025 is a must-read for anyone navigating the fast-moving AI landscape—and you can use it as a map.You’ll find:
- The latest positioning of 30+ AI technologies—from AI agents to foundation models to AI-ready data
- Practical guidance on where to invest, when to adopt, and what to avoid
- Deep dives into the most transformational approaches shaping enterprise AI, including composite AI, AI TRiSM, and neurosymbolic AI
Download the report
Want to see why Gartner believes Neurosymbolic AI is a foundational capability for tomorrow’s intelligent enterprises—and how RelationalAI is helping to bring it to life?
