Decide
Decide uses machine learning to make smarter, real-time ad-decisioning on the open web, improving campaign performance for advertisers and yield for publishers without relying on walled garden ecosystems.
Last updated Jul 20, 2026 by the ATDb Editorial Team
At a glance
- Employees
- 51-200
About
Emerging specialist in ML-driven ad decisioning for the open web, differentiated from walled gardens and traditional DSPs
Decide, operating at decide.co and formerly known as LockerDome, is a machine-learning-powered ad-decisioning platform purpose-built for the open web. The company leverages advanced AI and predictive modeling to optimize ad delivery decisions in real time, enabling advertisers to reach audiences more efficiently and publishers to maximize yield across programmatic channels. The rebranding from LockerDome to Decide reflects the company's strategic pivot toward decisioning intelligence as its core value proposition. The platform sits at the intersection of demand-side optimization and supply-side intelligence, processing large volumes of bid-stream data to make smarter, faster decisions about which ads to serve, to whom, and at what price. This positions Decide as a differentiated player in the increasingly competitive programmatic advertising landscape, where millisecond-level decisioning and data-driven targeting are critical competitive factors. Decide serves a range of customers including advertisers, agencies, and publishers seeking to improve campaign performance and monetization outcomes on the open web — as distinct from walled garden environments like Google and Meta. The company is headquartered in St. Louis, Missouri, and has built its technology stack around machine learning infrastructure designed for high-throughput, low-latency ad decisioning.
Business model
SaaS / Managed Service
Target market
Mid-Market, Enterprise
What they offer
Ad Decisioning Engine
Core ML-powered platform that makes real-time decisions on ad delivery across the open web programmatic ecosystem
Predictive Audience Targeting
Machine learning models that predict audience intent and receptivity to improve ad relevance and performance
Yield Optimization
Tools for publishers to maximize revenue by intelligently selecting the highest-value ad opportunities
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2012 · Founded
- 2022Renamed from Lockerdome