QuadSci Blog
Insights on AI revenue intelligence, product innovation, and the people building the future of GTM
QuadSci Release 3.0: GTM Agents that know what's coming, powered by the world's most predictive customer intelligence AI
QuadSci 3.0 introduces conversational Q-Chat, the QuadSci MCP Server, and multi-signal customer intelligence so revenue teams can protect NRR and uncover growth.
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Employee Spotlight: Lev Parker
Meet Lev Parker, who is building QuadSci’s private equity and venture capital partnerships, on portfolio growth, churn mitigation and investor-led GTM.
Employee Spotlight: Dev Mathur
Meet Dev Mathur, a Forward Deployed Engineer at QuadSci, on deploying Growth AI, integrating MCP into customer workflows and the drive behind his work.
Employee Spotlight: Anson Huang
Meet Anson Huang, a member of QuadSci's Gen AI team, on turning great predictions into stories people can act on, evaluating Q-Chat and life with five cats.
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- Culture
Employee Spotlight: Darsh Selarka
Meet Darsh Selarka, QuadSci's founding Forward Deployed Engineer, on faster deployments, the QuadSci MCP Server and why useful intelligence needs a reason behind every score.
- Culture
Employee Spotlight: Tomas Fuentes
Meet Tomas Fuentes, a Machine Learning Engineer at QuadSci whose bionics engineering background shapes how he processes and trains Growth AI across clients.
- Culture
Employee Spotlight: Mike Hess
Meet Mike Hess, Director of Marketing at QuadSci, on sharpening the GTM narrative, why reliable predictions beat directional data, and the one thing his kids disagree with him about.
- Culture
Employee Spotlight: Aaron Noorani
Meet Aaron Noorani, an Account Executive at QuadSci who has spent his career selling SaaS and now helps revenue teams move off gut-feel calls and onto early, objective behavioral signal.
- Insight
4 Ways GTM Teams Use Growth AI to Drive Revenue
Growth AI turns product behavior into action for every level of a revenue organization. Four high-level use cases that lead directly to expansion and retained revenue.
- Culture
Employee Spotlight: Jose Luis Valdez
Meet Jose Luis Valdez, an MLOps Engineer at QuadSci whose physics background shapes how he builds the models behind Growth AI.
- Insight
Buy vs. Build: The Ceiling on Building Your Own Predictive Model
The teams building internal churn models understand the problem better than almost any buyer in the market. That is exactly why they eventually stop building.
- Culture
Employee Spotlight: Enrique de Leon Hicks
Meet Enrique de Leon Hicks, a Machine Learning Engineer at QuadSci building the feature engineering layer that makes every model signal verifiable and concrete.
- Insight
How Do You Find Expansion Revenue Before Your Customers Tell You?
Expansion revenue starts as a behavioral signal, not a sales conversation. The four telemetry signals that surface expansion quarters before a customer asks.
- Culture
Employee Spotlight: Alberto Moran
Meet Alberto Moran, a Fullstack Engineer at QuadSci tuning application performance and architecting the public APIs behind our Integrations epic.
- Insight
Don't Let Messy Internal Data Slow You Down
Messy CRM, entitlement gaps and partial telemetry do not block predictive AI. What your data actually needs to support customer intelligence.
- Culture
Employee Spotlight: Alfonso Morales
Meet Alfonso Morales, a Cloud Native Engineer at QuadSci building data automation pipelines and secure infrastructure for customer intelligence AI.
- Insight
How GTM Teams Forecast Expansion Revenue Using Product Telemetry
The four behavioral signals in product telemetry that precede upsell and cross-sell, and how Growth AI turns them into an account-level expansion forecast 9–18 months early.
- Culture
Employee Spotlight: Kevin Hughes
Meet Kevin Hughes, a Machine Learning Engineer at QuadSci keeping customer intelligence models honest, accurate, and grounded in real telemetry.
- Culture
Employee Spotlight: Aashna Kunkolienker
Meet Aashna Kunkolienker, a GenAI engineer on the QChat team at QuadSci building AI products for real-world customer workflows.
- Insight
What Is Customer Intelligence AI? A Field Guide to the Three Camps
Customer intelligence AI spans three distinct camps: prospect and pipeline, consumer experience, and B2B customer and revenue intelligence. Here is how they differ and where QuadSci fits.
- Culture
Employee Spotlight: Juan Toledo
Meet Juan Toledo, a software engineer at QuadSci bringing nine years of problem-solving experience to the platform and the team in Mexico City.
- Culture
Employee Spotlight: Karla Regina Esquivel
Meet Karla Regina Esquivel, a full-stack engineer at QuadSci building the Cohorts and Growth applications with a background in chemistry and software engineering.
- Customer StoryInsight
How Boomi Turned Product Telemetry Into 90% Churn Prediction Accuracy
How Boomi and QuadSci built a predictive intelligence layer on 70 billion telemetry events to surface churn 9-18 months ahead of renewal, delivering 90% accuracy and 700%+ ROI.
- Partnership
QuadSci and Salesloft + Clari: From Prediction to Action
How the partnership connects QuadSci's customer intelligence to the workflows revenue teams already run inside Salesloft + Clari.
- Press Release
QuadSci Named "Machine Learning Company of the Year" in 9th Annual AI Breakthrough Awards Program
For the second consecutive year, QuadSci wins Machine Learning Company of the Year, recognized for Q-Chat agents and predictive customer intelligence built on 15 trillion telemetry events.
- Insight
Why CS Teams Are Always Fighting Last Quarter's Fires
The structural trap that keeps renewal teams reactive and how to get out of it. Why retention is won 9 to 18 months before the renewal queue.
- Insight
What Is Product Telemetry and Why Is It Important for Churn Prediction?
Product telemetry is the continuous stream of behavioral data from every user interaction. Learn how front-end and back-end telemetry power early, accurate churn and expansion prediction.
- Research
QuadSci vs Hook vs Pendo Predict: Which Customer Intelligence Platform Is Right for Your GTM Team?
A side-by-side comparison of QuadSci, Hook.co, and Pendo Predict across prediction window, telemetry depth, accuracy, and how each platform delivers action.
- Insight
What Is the Difference Between Health Scores and Telemetry?
Health scores and telemetry both monitor customer behavior, but they differ in accuracy, lead time, and how they are constructed. Learn why telemetry-based prediction wins.
- Insight
What Is Telemetry-Based Churn Prediction?
Telemetry-based churn prediction uses product usage data and behavioral signals to forecast which customers will cancel or downgrade, months before it happens.
- Product
What Is Growth AI and How Does It Work?
Growth AI is QuadSci's supervised machine learning system that predicts expansion and churn from 15 trillion telemetry events with 90% accuracy, 9 to 18 months in advance.
- Insight
Unlocking Expansion: Growth Starts With Your Customers, Not Your Pipeline
Top-performing software companies grow from their existing customer base, not net-new pipeline. Learn how product telemetry reveals expansion before it reaches CRM.
- Insight
7 Customer Intelligence Use Cases That Turn Product Data Into Revenue
Discover 7 AI-driven customer intelligence use cases that connect product telemetry to revenue outcomes including churn prediction, expansion detection, and cohort analysis.
- Insight
The Clock's Ticking: The Science of Spotting Churn Risk Early
Churn rarely appears suddenly. Learn how product telemetry reveals behavioral risk 3-4 quarters before it becomes obvious in your renewal forecast.
- News
QuadSci Raises $8 Million in Series A Funding
The SaaS News covers QuadSci's $8M Series A led by Crosslink Capital to accelerate product development and expand go-to-market teams for enterprise customers.
- News
QuadSci Raises $8M to Predict SaaS Churn Before It Happens
AlleyWatch covers QuadSci's $8M Series A funding round and how its customer intelligence AI predicts churn using product telemetry data.
- Press Release
QuadSci, the Most Predictive and Prescriptive AI For Customer Intelligence, Raises $8M Series A
QuadSci secured an $8 million Series A financing round led by Crosslink Capital to accelerate product development and expand go-to-market teams.
- Insight
Why Is NRR Stalling or Falling, and What Software Helps Reverse It?
SBI data shows average SaaS NRR fell from 110.8% to 107.2% (2023–2025). Learn why NRR stalls or falls, and how product telemetry software predicts expansion and churn 9-18 months ahead.
- Insight
Product-Centricity: Why the Product Must Lead the Relationship
Learn why product usage, not CRM data, should be the foundation of your revenue strategy. Discover how AI transforms telemetry into actionable intelligence.
- Insight
The Customer Journey You've Never Actually Seen
Discover why traditional tools create data silos and how AI-powered telemetry finally reveals the complete customer journey across your organization.
- Insight
Separating Signal from Spin in the Age of AI
How to properly evaluate revenue and churn predictions without falling for the hype. Learn what to look for in AI/ML solutions from a machine learning expert.
- Insight
Humans See Relationships. AI Sees Patterns. Forecasts Need Both
Sales forecasts fail because they rely on human perception over customer behavior. Learn how predictive AI with telemetry data improves forecast accuracy.
- Insight
The CFO and the Renewal Decision
Learn how CFOs are playing a central role in renewal decisions and how AI transforms raw telemetry into compelling value narratives.
- Insight
Why is Growth Slowing Down? The Revenue Reality for B2B Software
Discover why 58.8% of B2B organizations saw NRR decline and how telemetry-driven AI transforms revenue intelligence.
- Research
Surprise Churn Hits Hard. The Impact Starts Fast
How predictive AI powered by telemetry data transforms forecast accuracy and prevents unexpected churn in revenue organizations.
- Customer Story
How Clari Used AI to Predict Churn and Uncover Growth Opportunities
Clari partnered with QuadSci to achieve 90% predictive accuracy for churn and growth 9-18 months in advance and uncover hidden growth signals.
- CultureProduct
Reflections from BayLearn 2025: A Day of Machine Learning Insights and Inspiration
A QuadSci Machine Learning Engineer shares insights from the BayLearn symposium on LLMs, agentic AI, and the future of machine learning.
- Research
Telemetry Over Talk: How AI Predicts Churn and Unlocks Growth
Analysis of 9,100 SaaS accounts reveals 80% of commercial outcomes are predicted by product usage.
- Press Release
New SBI and QuadSci Study Exposes Costly SaaS Retention Crisis—And How AI Can Predict Who Churns Next
Analysis of 9,100 accounts and 160 billion data points reveals six usage patterns that determine renewal and expansion outcomes.
- Culture
From Latin America's Startup Ecosystem to the Forefront of AI, the journey of Hermes
Hermes Aguilar shares his journey to QuadSci and what he's working on here.
- Culture
From Problems to Product Insights, Eduardo Martinez shares his journey to QuadSci
Eduardo Martinez, Machine Learning Engineer, shares his journey in data science.
- News
QuadSci Named Machine Learning Company of the Year
Prestigious 8th Annual AI Breakthrough Awards Program Recognition.
- Product
Reflections from Bruno Velloso on QuadSci's 2025 Summit
Bruno shares insights from the 2025 summit and product developments.
- News
Q-Chat, Clari, and Lucha Libre: Sarah's QuadSci Summit Recap
Sarah Cox shares her perspective on the QuadSci summit.
- News
Behind the Scenes at Our CDMX Company Summit
A recap from Niki Makkinejad, Chief of Staff.
- Product
Back from CDMX: QChat, Connection, and a Growing Team
An update on Q-Chat development and team growth.
- Culture
10 Years and Counting: Aaron Hinojosa at QuadSci
Aaron shares his decade-long journey in tech.
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