Impetus to show context-aware agentic AI at Databricks Summit

Impetus Technologies will demo its context engineering tools at the Databricks Data + AI Summit in San Francisco from June 15-18, 2026. The company says the goal is to help enterprises build more trusted agentic AI systems by linking models to proprietary data, business rules and governance on Databricks.

Why it matters: - Enterprises are under pressure to make agentic AI useful in real workflows, not just in demos. - Impetus is positioning context engineering as the missing layer that connects foundation models to proprietary data, business processes and governance. - Databricks customers will see how that approach could help improve trust, accuracy and operational control.

What happened: - Impetus Technologies announced it will participate as a Visionary Sponsor at the 2026 Databricks Data + AI Summit in San Francisco from June 15-18. - The company will showcase its Impetus Leap™ AI Solutions & Services Family at Booth #400. - The demo focus is context-aware agentic AI built directly on Databricks Lakehouse. - Impetus also plans to present its context engineering methodology at the event.

The details: - Impetus LeapLogic Suite™ modernizes legacy data estates into AI-ready foundations on Databricks. - LeapLogic is designed to deliver up to 95% automation, certification and ontology-aligned modernization. - The suite preserves business logic while generating semantic metadata, lineage and readiness signals for agentic AI. - Impetus Context Studio™ gives data engineers and business users a shared visual workbench to define business meaning for data and shape agent behavior. - Context Studio also supports layered retrieval logic and compartmentalized isolation for responsible AI policies. - Impetus Context Fabric™ connects ontology, knowledge graphs, business rules, policies, lineage and memory into a semantic intelligence layer. - Context Fabric turns raw data into structured context for agents and large language models in the Databricks stack. - Impetus Prism™ provides observability and governance across data, AI and cloud operations. - Prism monitors context quality, hallucination risk, drift, performance, cost and compliance. - Impetus Agent Solutions™ automates business and technical operations with domain-specific Skills, Kits and Agents. - Those agents are evaluated, benchmarked, governed and integrated with Agent Bricks.

Between the lines: - The pitch reflects a broader shift in enterprise AI from model capability alone to the quality of the surrounding data, policies and context. - Impetus is leaning on its Databricks relationship to frame its tools as infrastructure for production-grade agentic AI, not just experimentation. - The emphasis on modernization first suggests many enterprises still need to clean up data estates before AI agents can perform reliably. - Two speaking sessions reinforce that message: “Powering Context-Aware Agentic AI at Scale: Why Modernization Must Come First” on June 16 at 11:30 a.m. in Moscone South, Expo, Theatre 4, and “Context Engineering: The New Control Plane for Agentic AI” on June 17 at 12:20 p.m. in Moscone South, Expo, Theatre 5. - Deepak Khosla, Impetus chief growth officer and head of AI business, said the partnership with Databricks is aimed at helping customers build reliable, scalable, context-aware agentic AI systems that deliver business outcomes and ROI. - Jason McIntyre, Databricks vice president of partner management, said the next wave of enterprise AI will be defined by context and that Impetus brings deep context engineering expertise.

What's next: - Attendees can meet Impetus experts at Booth #400 during the summit. - The company is also inviting meetings in advance for the event. - The Databricks partnership remains a key channel for Impetus as it expands its context-aware AI offerings. - Impetus is also a LinkedIn page for social updates.

The bottom line: - Impetus is betting that enterprises will adopt agentic AI faster if the systems are built around context, governance and modernization instead of raw model access alone.