McKinsey estimates that the skilled labor shortage costs economies up to 1.6% of GDP, or $442 billion, and will leave 2.1 million jobs unfilled by 2030, many in high-skill, data-intensive roles. At the same time, data volumes are growing at a rate of 20% year-over-year, while analyst capacity remains almost flat. This creates a widening skills gap, where valuable insights arrive too late, opportunities are missed, and margins erode.

We built AI Analysts to bridge this gap. They work alongside human analysts, scanning millions of data points in seconds to uncover cause-and-effect relationships, simulate alternate scenarios, and surface risks or opportunities within hours instead of weeks. Acting as digital force multipliers, they give human experts the speed and reach needed to keep pace with today’s business demands.

Because AI lacks human intuition, our AI Analysts operate on Shared Objectives: clear, measurable business goals defined by your teams. This ensures every analysis, simulation, and recommendation aligns directly to what matters most, whether that’s improving on-time delivery, reducing cost per order, protecting margins, or boosting customer satisfaction.

By combining the scale of AI with the judgment of people, we turn the growing flood of data into a sustainable competitive advantage,  enabling organizations to act faster, with greater precision, and with confidence in every decision.