A program that recognizes AI innovators who are shaping the next era of global innovation
QuadSci, the most predictive and prescriptive AI for customer intelligence, has been named the winner of the 2026 Machine Learning Company of the Year award at the 9th annual AI Breakthrough Awards Program, presented by AI Breakthrough.
This is the second year in a row that QuadSci has earned the AI Breakthrough Awards honor. This award recognizes the company’s rigorous commitment to building advanced machine learning solutions that provide explainable and reliable revenue predictions.
Turn telemetry into customer intelligence
QuadSci’s platform ingests product telemetry, CRM, and conversation data to deliver 90% predictive accuracy for churn and growth events 9-18 months in advance of renewal, giving GTM teams the time and intelligence to act. QuadSci analyzed over 11 trillion telemetry events to build predictive models. At QuadSci, we found that, on average, 15% of a customer’s ARR is in projected growth with no open pipeline. This is a return not available with existing pipeline management tools.
In 2026, QuadSci expanded its integrated ecosystem to over 50 platforms including product analytics, observability, CRM, and conversation transcription sources. Intelligence feeds into existing workflows in platforms like Salesloft, Gainsight, Slack, Clari, and Salesforce, making QuadSci the central intelligence layer for the entire modern GTM stack.
“Telemetry is the largest data set software companies own, and QuadSci exists to unlock it. By combining machine learning with telemetry, market signals, and conversational input, we help software companies move from quarterly fire drills to strategic, long-term execution.” Sean Murray, QuadSci Co-CEO. “We are grateful to AI Breakthrough for this recognition. It is a credit to the hard work and talent of the QuadSci team and their relentless pursuit of delivering accurate, actionable predictions that give GTM leaders and their teams the confidence to act and execute quickly.”
GTM’s new class of customer intelligence
In 2026, QuadSci introduced a new class of GTM agents: Q-Chat. Built on QuadSci’s quantitative AI layer, Q-Chat is the only technology that integrates product analytics and observability data into a set of predictive signals, revealing customer behavior invisible to other solutions. Sales, customer success, service, and marketing teams can have conversations with agents who understand how customers use products and prioritize actions across any account or book of business using the full context of ARR. Through QuadSci’s MCP layer, that same intelligence is extended to third-party agent stacks, making all connected AI tools more aware of what customers are actually doing and what it means for revenue performance.
“Every AI company is now a delivery agent, and most of those agents have never seen a single telemetry event. Agents who can’t see how customers are actually using the product are left guessing, which is an expensive method,” he said. Dan Harmeson, QuadSci Co-CEO. “CRM notes tell you what customers said. Meeting transcripts show what your team heard. But neither shows what customers actually did with your product. When you apply advanced machine learning to product telemetry at scale, you stop interpreting the past and start predicting the future based on your customers’ actual patterns in your product. Our Q-Chat agents use other GTM Customer Intelligence We can analyze, reason, plan and act on data that is not available in our solutions. This is the basis of why we are a fundamentally different category of intelligence.”
That intelligence is deployed through four dedicated agents, each designed for the specific context of a different GTM function.
- customer success agent – Drive targeted engagement to combat unhealthy usage and drive customers towards value based on signals specific to each account.
- distributor – Uncover the 3-5% of your ARR that is ready for expansion and pinpoint which features and modules will bring value to your customers.
- service agent – Align the scope and focus of your services to opportunities that maximize growth impact.
- product marketing agent – Map product feature behavior for all accounts and users across product analytics and observability events to ensure nurture flows reflect how customers actually engage with the product, rather than assumptions about how they should engage with the product.
Steve Johansson, Managing Director of AI Breakthrough, said:“QuadSci represents a shift from static dashboards to interactive machine learning systems that drive day-to-day decisions. GTM teams spend hours researching and preparing customer conversations through the tedious process of trying to understand how customers actually use our products at scale. QuadSci represents a new category of ML platforms that not only predict outcomes but also embed intelligence into how revenue teams operate every day.”
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