Wingspan is an industry-first agentic AI platform built to accelerate your data-to-AI journey. It incorporates autonomous and deterministic AI agents, enabling 2-3X faster adoption of modern data platforms and domain-specific AI compared to traditional approaches.
AI often fails to deliver tangible production value.
Lack of context and domain-specific knowledge undermines model accuracy.
Unexpected cloud expenses strain ROI and operational efficiency.
Data scarcity hampers effective AI model training.
Modernization projects face cost overruns and demand excessive human intervention.
Regulation, traceability, and governance hinder data observability.
Robust context engine centralizes data, lineage, and AI for fluent agent operation.
Eagle's knowledge-graph bridges data and AI for business-specific LLMs.
Automatically activates agents for planning, conversion, and validation.
Provides complete oversight with autonomous execution and real-time updates.
Delivers clear, data-driven insights via conversational interface.
Multiple agents work autonomously to accelerate modernization.
Transparent process flow with clear reasoning.
Human in the loop define the what and why; Al handles the how and when.
Complete oversight of all modernization layers.
Real-time, intelligent agent monitoring.
Streamlined tasks without redundant team interactions.
Wingspan learns your business context and glossary, making your AI smarter and faster.
Just ask Wingspan, it understands your business knowledge graph created by Eagle and gives you straight-on-point answers.
Wingspan’s agents execute and chat autonomously, like saying hi to a friend,
to quickly get the job done.
Multiple tools like Eagle, Raven, Pelican, and Kingfisher operate autonomously to decide and execute tasks.