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As of 2026
AI & Automation
Revenue: $10M-100M ARR
AI-powered B2B predictive analytics and customer data platform.
Overview
Lattice Engines provides an advanced artificial intelligence platform designed to optimize B2B sales and marketing performance through predictive analytics. The platform synthesizes internal CRM records with vast external data sources to deliver actionable account insights. It helps enterprise revenue teams identify high-value prospects, prioritize outreach, and execute data-driven account-based marketing campaigns. Global corporations rely on its machine learning models to streamline pipeline generation and improve conversion efficiency.
Funding status: Acquired
Revenue source: Subscriptions
Customer type: B2B
Pricing: Enterprise
Tech stack: Cloud Infrastructure, Python, Machine Learning Pipelines, MySQL, REST APIs
Platform: Web
Integrations: Salesforce, Marketo, Oracle, Microsoft Dynamics, Google Cloud
Founder story
Lattice Engines was founded in June 2006 by Shashi Upadhyay, Kent McCormick, and Andrew Schwartz in San Mateo, California. The founders set out to solve the challenge of integrating messy enterprise data into actionable predictive intelligence for B2B sales. The company raised over $60 million in venture funding before being acquired by Dun & Bradstreet in July 2019.
What it does
- Synthesizes internal CRM records with third-party external data sources to build unified customer profiles
- Scores and prioritizes B2B leads using predictive machine learning algorithms to isolate high-intent accounts
- Automates account-based marketing campaigns and omni-channel audience activation workflows
- Delivers real-time buying signals and talking points directly to enterprise sales representatives.
Who it's for
- Enterprise Sales Leaders
- B2B Marketers
- Revenue Operations Teams
- Chief Marketing Officers
Why it works
- Utilizes a predictable enterprise subscription pricing model tailored for large-scale revenue organizations
- Positions uniquely at the intersection of B2B data enrichment and predictive artificial intelligence
- Leverages robust integration pipelines connecting seamlessly with major CRM and marketing automation systems
- Addressed critical data silo challenges faced by global enterprise sales teams prior to its acquisition.
Growth strategies
- Direct enterprise sales targeting Fortune 500 B2B organizations
- Strategic partnerships and integrations with major CRM ecosystems like Salesforce
- Content marketing focused on predictive marketing and account- based strategies
- Ecosystem expansion following acquisition by Dun & Bradstreet to scale data distribution
Alternatives
Comparison overview
- Focuses heavily on predictive lead scoring and account-based data synthesis powered by external intent signals.
- Integrates advanced machine learning directly with enterprise CRM environments to automate pipeline acceleration.