Discern

4.9 9 reviews New York, New York, United States 11-50 employees

About Discern

Discern helps B2B companies turn raw operational data into AI-ready business data.
Most enterprise data lives across CRM, ERP, billing, marketing, and product systems. On its own, that data is fragmented, inconsistently defined, and difficult to trust. That makes it hard to produce reliable revenue, pipeline, retention, forecast, and performance metrics - and even harder to build AI systems that work well in production.
Discern solves that by creating the missing business logic layer underneath analytics and AI. We define the metrics, map the source systems, transform the raw records, label the data with business meaning, and calculate the derivative metrics leaders actually use to run the business.
Our platform includes revenue intelligence, pipeline intelligence, marketing intelligence, and business intelligence & reporting - giving finance and GTM teams trustworthy analytics, forecasting, and board-ready reporting.
For companies that want more leverage, discern also provides out

Leadership

  • David Braccia Fractional Cpo | Head Of Product Washington, District Of Columbia, United States LinkedIn profile
  • Helen Lin Founder And Chief Executive Officer New York, New York, United States LinkedIn profile
  • Ling Lin Chief Data Scientist New York, New York, United States LinkedIn profile

At a glance

Classification
HeadquartersNew York, New York, United States
Founded2020
Company size11-50
Revenue$1 - 10m
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Profile

Specialties: CRM, Analytics, Predictive Analytics, AI, Machine Learning, Data Science, Private Equity, Due Diligence, Porfolio Company Management, Operating Partner, Revenue Operations, Sales Operations, Enterprise Software, Financial Data, Fintech, Sales, Customer Retention, Run Rate, Annual Recurring Revenue, Pipeline Management, Sales Productivity, Churn Management, Customer Management, Business Intelligence, ERP, And Business Intelligence, Benchmarks, ARR, And ARR Calculations, ARR Calculations, AI Agents, Data Labeling, Data Definition, MRR, FP&A, Revenue Recognition, And Data Transformation

Technologies: Google Analytics Enhanced Ecommerce, Animate.Css, Google Cloud, Gravatar, Polyfill, Jquery Migrate, Hsts, Cdnjs, Doubleclick Floodlight, Google Ads ...

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