Introducing Vertis IQ
Why, in 2026, are CHROs and Heads of Real Estate still waiting weeks for a spreadsheet?
Fortune 1000 companies with 5,000 plus employees manage complex workforce structures and global office portfolios. Yet HR and Real Estate leaders still jump between disconnected systems, reconcile exports, and wait on analyst reports to answer basic operational questions.
That is not decision infrastructure.
That is delay.
So we built something better.
Today, we’re introducing Vertis IQ.
Vertis IQ is an AI-native intelligence platform built on your company’s live workforce and real estate data. Designed for large, multi-location enterprises, it delivers real-time answers across HR and Workplace strategy.
Instead of navigating dashboards across Workday and lease systems, you ask a question.
• How does hiring compare to office capacity in our top markets?
• Where are management layers misaligned with growth?
• Are we over-leased where headcount is slowing?
You get the answer immediately.
Vertis IQ unifies Workforce and Real Estate intelligence in a secure natural language interface. Leaders explore headcount, hiring, management ratios, capacity, utilization, and geographic distribution in real time. Follow-up questions are instant. Everyone works from the same source of truth.
This is not generic AI layered on exports.
Vertis IQ understands workforce structures, reporting hierarchies, square footage, seat capacity, and growth trends. It reasons across them so HR and Real Estate strategy align.
The original Vertis platform delivered dashboards.
Vertis IQ delivers clarity.
Workforce is your largest cost center. Real estate is often second. Misalignment is expensive. Slow answers are expensive.
AI is no longer optional. Decision speed is advantage. Stockbridge, AON, and McAfee are already modernizing how HR and Workplace leaders operate with Vertis IQ. We believe enterprises with 5,000 plus employees will run on intelligence platforms like this.
If you expect your decision tools to move at the speed of your business, we should talk.