Bridging the AI Gap: Accelerate Enterprise Transformation with Onix Wingspan


While AI adoption is accelerating, many enterprises struggle to scale their efforts. Fragmented data, inconsistent frameworks, and missing context often stall AI initiatives—only 20% of AI projects move beyond the pilot phase, and by 2025, nearly a third of GenAI projects will be abandoned after proof-of-concept (Gartner).

The issue isn’t AI technology—it’s data readiness. Without structured, reliable, and accessible data, AI initiatives cannot succeed.

Introducing Wingspan by Onix
Wingspan is Onix’s agentic AI platform, purpose-built to bridge the gap between raw data and enterprise-ready AI. With AI-powered agents, unified knowledge frameworks, and contextual intelligence, Wingspan simplifies AI adoption and accelerates outcomes.

6 Key Enterprise Challenges and How Wingspan Solves Them

1. AI Shortfall

90% of GenAI projects will fail to deliver value by 2025. The cause? Not technology—but poor governance, unclear ROI metrics, and lack of cross-functional alignment.
Wingspan’s Solution: Wingspan combines cloud modernization tools with AI agents to unify business knowledge, build strategic glossaries, and streamline deployment across teams.

2. Data Fragmentation & Scarcity

Data trapped in silos across varied formats slows AI integration and insights. Add to that data scarcity, and AI models lack the volume and variety needed for real-world performance.
Wingspan’s Solution: Wingspan deploys synthetic data agents to simulate production-grade data, ensuring privacy compliance while enhancing model training and accuracy.

3. Lack of Contextual Intelligence

Traditional models miss domain context, leading to flawed predictions and decisions.
Wingspan’s Solution: Powered by a deep enterprise knowledge graph, Wingspan enriches AI models with contextual awareness—enabling more accurate and reliable outputs.

4. Data Observability Gaps

85% of enterprises suffer financial losses due to poor data quality. Scattered observability tools leave governance blind spots.
Wingspan’s Solution: Wingspan embeds observability into the data lifecycle, offering real-time anomaly detection, data lineage, and quality monitoring within a unified platform.

5. Escalating Cloud Costs

AI-driven workloads are increasing cloud spend by 30%, with most enterprises overshooting budgets.
Wingspan’s Solution: Wingspan optimizes cloud usage, controls sprawl, and aligns resource allocation with business goals—boosting AI ROI.

6. Modernization Overruns

Manual modernization efforts often lead to delays and overspending.
Wingspan’s Solution: Wingspan’s autonomous agents automate and accelerate cloud modernization—cutting costs by up to 35% and reducing implementation time by 2–3x.

Why Wingspan?

Wingspan is more than an AI platform—it’s a catalyst for enterprise-wide transformation:

  • Unified data view via Eagle’s knowledge graph
  • Centralized data framework for clarity and governance
  • Scalable platform to deploy, manage, and monitor AI agents
  • Support for custom LLMs tailored to industry-specific needs
  • Built-in AI security to ensure trust, compliance, and risk mitigation

Fully integrated with Google Cloud’s AI ecosystem, including Google AgentSpace, Wingspan enables enterprises to move from raw data to AI production in just 4 weeks.

Conclusion

As the 2025 Google Cloud Partner of the Year , Onix is redefining cloud modernization and AI adoption. Wingspan delivers the speed, intelligence, and security enterprises need to scale AI—faster and smarter.

Location: Canada

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