#onixwingspan

[onixcloud]

Rule-based synthetic data testing tools produce data that is too perfect to be useful — applications pass in development and fail in production because the test data never reflected real-world statistical distribution. Onix Kingfisher generates production-realistic synthetic data from both existing datasets and application code — integrating directly into CI/CD pipelines for fully autonomous data provisioning with zero human intervention. Industry-agnostic and petabyte-scalable, Kingfisher enabled a global bank to save 85% of data preparation time — making it the synthetic data testing platform that enterprise AI programs and continuous testing frameworks can genuinely depend on.

[onixcloud]

Between 50 and 80 percent of legacy warehouse projects fail — and manual modernization approaches are a significant reason why. Onix Wingspan, the industry's first integrated AI agent platform for enterprise data warehouse modernization, replaces manual effort with four autonomous intelligent agents: Eagle assesses legacy workloads, Raven converts code, Pelican validates data integrity, and Kingfisher generates synthetic training data. Built on Google Cloud, Onix Wingspan gives U.S. enterprises the automated, agent-orchestrated modernization foundation that makes AI-ready data a weeks-level delivery rather than a years-long aspiration.

[onixcloud]

Onix and Google Cloud have expanded their strategic collaboration to bring agentic AI cloud capabilities to enterprises at production scale — moving organizations from AI ambition to operational reality in weeks rather than years. Powered by the Wingspan platform's Semantic Twin — the industry's first model to deliver business context and enterprise ontology to AI agents — this collaboration already has thousands of agents running across Fortune 500 environments. Onix's agentic AI in the cloud delivers 3 times faster business value than traditional consulting, with outcome-based accountability built into every engagement.

[onixcloud]

Between 50 and 80 percent of legacy warehouse projects fail — not because cloud infrastructure is inadequate, but because the transformation layer between legacy systems and cloud-native architecture is too complex to manage manually. Wingspan, agentic AI cloud by Onix solves this by coordinating four intelligent agents — Eagle, Raven, Pelican, and Kingfisher — across assessment, code conversion, validation, and synthetic data generation. Onix's agentic AI in the cloud gives U.S. enterprises a single integrated platform to modernize their data warehouses on Google Cloud with measurable speed, accuracy, and AI readiness built in.

[onixcloud]

In 2025, a cloud managed service provider that only manages infrastructure is no longer enough. U.S. enterprises need a partner that connects cloud investment directly to AI outcomes — from multimodal data integration and multi-agent deployment to generative AI-powered customer experience. Onix's cloud managed services, built on 20 years of Google Cloud partnership and powered by the Wingspan agentic AI platform, deliver exactly that: a data-to-AI journey that runs two to three times faster than traditional methods — with a demonstrated 727 percent average ROI for Google Cloud GenAI adopters.

Learn more: Accelerate AI Transformation with Onix & Google Cloud

[onixcloud]

This infographic illustrates the full agent ecosystem inside Onix Wingspan, the automated platform for data migration, modernization, and AI enablement. Six specialized agents—Eagle for assessment, Raven for code conversion, Pelican for data validation, Kingfisher for synthetic data, Phoenix for business intelligence, and FinOps for cost optimization—work in concert to deliver Wingspan AI and data results that enterprises can measure. Customers report 2x faster AI data foundation build-out, 75% lower migration risk and cost, 85% reduced data validation effort, and 45% higher engineering productivity. Onix Wingspan translates cloud investment into quantifiable outcomes.

Learn more about Wingspan Agentic AI platform