- Differentiated, well-governed data is becoming a foundation for AI-enabled products and new revenue streams.
- Build-versus-buy and partner decisions increasingly depend on speed, architecture, ownership, and execution.
- For technology platforms, including Secure Networking, monetization will come from combining proprietary data and AI within workflows to create differentiated customer value.

VeloNova 2026
Vertical AI, from pilots to production.
Revisit the insights and conversations of industry leaders, investors, and operators as they explore how Vertical AI moves from experimentation to measurable business outcomes.
Vertical AI brings intelligence into industry-specific workflows, helping businesses reimagine operations and turn investments into new revenue streams. By combining data, domain expertise, and AI, it creates measurable value across the processes that matter most to your business.
R “Ray” Wang · Founder & Chairman, Constellation Research
- In the AI age, experience matters more than expertise, becoming a key differentiator in creating business value.
- Move beyond cost savings and aim for 10x, 100x, and 1,000x outcomes through AI-driven transformation.
- Embrace Vertical AI, know what not to pursue, and leverage proprietary industry context to accelerate decision-making and build a competitive advantage.
- Healthcare and dental organizations still face fragmented data and disconnected workflows across care, insurance, claims, and billing.
- AI can reduce administrative burdens and help clinicians make better decisions while keeping patient care at the center.
- The opportunity is shifting from isolated automation to decision intelligence that improves both outcomes and the cost of care.
- Industrial operations still run on dozens of disconnected systems, and until that data is unified and trusted, AI only makes bad data bad faster.
- Decisions and KPIs are set at the enterprise, but value is won on the factory floor, where edge AI puts intelligence into machines and frontline teams.
- The AI use cases that scale tie to existing KPIs, turning weeks of design work into minutes and capturing tribal knowledge as the manufacturing workforce ages out.
Companies that are actually using AI, and you’re going to see it in the vertical AI space, they’re winning 10 to 1. And what I mean by 10 to 1 is it’s a 10x advantage.
Ray WangFounder & Chairman, Constellation ResearchProprietary data can become one of the biggest drivers of new value when AI turns it into differentiated products and insights.
Allen DearyCOO, OpenExchangeThe differentiator isn’t just the technology. It’s the architecture behind it and the ability to execute and scale faster.
Jeff CollinsChairman, WanAwareAI gives established platforms a new way to create differentiated experiences and unlock more value from their data.
Julian TrotmanCPTO, Aduro AdvisorsPatients should not have to repeat the same information across disconnected systems. The data should move with the patient.
Dharmesh JalalCTO & Co-Founder, VerrificAI can take processing off the clinician’s plate, giving them faster insight while keeping the final decision in their hands.
Joseph MalfettoneChief Brand & Systems Architect, PerfectFit OrthoAI is to the physician what the Webb telescope is to the astronomer. It lets them see things that are happening with their patients that are not visible to the naked eye.
Anand IyerChief AI Officer, WelldocAI needs to connect to operational KPIs. If it doesn’t move a business metric, it risks becoming just another experiment.
Adam DesfossesCIO, Owl ServicesAI has to solve a real operational problem. The value comes when trusted data translates into better decisions on the ground.
Chris TaylorVP of Operations & Engineering, Batchelor & Kimball, an EMCOR CompanyTransformation can fail at the factory floor if people don’t trust the data. The last mile is where AI has to become actionable.
Heather PreuCEO, IntellectAI success takes more than the right technology. Veltris’ AI Readiness Diagnostic helps you assess your readiness across six key pillars, identify gaps, and uncover high-impact opportunities. Discover where your business stands and chart a clear path from AI experimentation to measurable business outcomes.

In this Constellation Research feature, Veltris CEO Hiral Chandrana shares insights on the growing role of Vertical AI in transforming industrial operations. Explore how industry-specific AI, digital twins, and connected workflows are creating new opportunities for enterprises to drive innovation and measurable business outcomes.

The Vertical AI Orchestration Platform.
The conversations at VeloNova 2026 explored the journey from AI readiness to AI monetization. VeltrisOne™ helps enterprises connect data, systems, and AI to turn that vision into business outcomes.
VeltrisOne™ is the Vertical AI Orchestration Platform that securely AI-enables industry workflows for micro-industries.
See it live, applied to your industry, with the team building it.
See the VeltrisOne demo- Build visibility across IT, OT, IoT, and cloud assets to support AI readiness.
- Bring asset intelligence and observability together to better understand infrastructure performance.
- Work with trusted engineering partners to address complex technology challenges.
- Equip fund administration teams with AI tools to work faster and more effectively.
- Strengthen confidence in financial reporting and the numbers that inform investor decisions.
- Support trusted client relationships through better tools and more informed conversations.
