QuadSci, the most predictive and prescriptive AI for customer intelligence, has been selected as the winner of the 2026 Machine Learning Company of the Year award in the 9th annual AI Breakthrough Awards program conducted by AI Breakthrough.
This is the second consecutive year QuadSci has earned the distinction from the AI Breakthrough Awards. The award acknowledges the company’s rigorous commitment to building advanced machine learning solutions that deliver explainable, trustworthy revenue predictions.
Turning Telemetry Into Customer Intelligence
QuadSci’s platform ingests product telemetry, CRM, and conversational 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 has analyzed over 11 trillion telemetry events to build its predictive models. On average, QuadSci finds 15% of its customers’ ARR sitting in a predictive growth state with no open pipeline. This is revenue that existing pipeline management tools miss.
In 2026, QuadSci expanded its integration ecosystem to more than 50 platforms including product analytics, observability, CRMs and conversational transcription sources. Intelligence is then surfaced into existing workflows in platforms like Salesloft, Gainsight, Slack, Clari, and Salesforce, making QuadSci a central intelligence layer across the modern GTM stack.
“Telemetry is the biggest dataset any software company has, and QuadSci exists to unlock it. By combining machine learning with telemetry, market signals, and conversational inputs, we help software companies move from quarterly fire drills to strategic, long-term execution,” said Sean Murray, co-CEO of QuadSci. “Thank you to AI Breakthrough for this recognition. It’s a credit to the hard work and talent of the QuadSci team and their relentless pursuit to deliver accurate and actionable predictions that give GTM leaders and their teams the confidence to move fast and execute.”
A New Class of Customer Intelligence for GTM
In 2026, QuadSci introduced Q-Chat, a new class of GTM agents. Grounded in QuadSci’s quantitative AI layer, Q-Chat is the only technology that unifies product analytics and observability data into a set of predictive signals that surface customer behaviors invisible to any other solution. Sales, Customer Success, Services, and Marketing teams can converse with agents that understand how customers use the product, and prioritize actions across any account or book of business with full ARR context. Through QuadSci’s MCP layer, that same intelligence extends into any third-party agent stack, making every connected AI tool more aware of how customers actually behave and what it means for revenue performance.
“Every AI company is shipping agents right now. Most of those agents have never seen a single telemetry event, and an agent that can’t see how customers actually use your product is just a more expensive way to guess,” said Dan Harmeson, co-CEO of QuadSci. “CRM notes tell you what a customer said. Meeting transcripts tell you what your team heard. But neither tells you what the customer actually did in your product. When you apply sophisticated machine learning to product telemetry at scale, you stop interpreting the past and start predicting the future based on a customer’s actual patterns in your product. Our Q-Chat agents can analyze, reason, plan and act on data that no other GTM customer intelligence solution has. That’s the foundation of why we’re a fundamentally different category of intelligence.”
That intelligence is deployed through four purpose-built agents, each designed for the specific context of a different GTM function:
- Customer Success Agent – drives targeted engagement to address unhealthy usage and lead customers to value, guided by each account’s unique signals.
- Sales Agent – uncovers the 3-5% of ARR primed for expansion, revealing exactly which features and modules will deliver value for customers.
- Services Agent – aligns service scope and focus with the opportunities that maximize growth impact.
- Product Marketing Agent – maps product feature behaviors for every account and user across product analytics and observability events, ensuring nurture flows reflect how customers are actually engaging with a product, not assumptions about how they should.
Steve Johansson, Managing Director, AI Breakthrough said, “QuadSci represents a shift from static dashboards to interactive machine learning systems that drive daily decisions. GTM teams spend hours researching and preparing for customer conversations through a tedious process, trying to understand how customers actually use their product at scale. QuadSci represents a new category of ML platform, one that doesn’t just predict outcomes, but embeds intelligence into how revenue teams operate every day.”
About QuadSci
QuadSci is AI for customer intelligence that connects product usage and customer behavior to revenue outcomes. By analyzing over 11 trillion telemetry events, QuadSci helps companies eliminate surprise churn, uncover growth, and align GTM teams on the actions that matter for the business.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260625495811/en/
Media gallery
