Commerce media platform connecting brands with consumers across omnichannel channels
Fluent operates a NASDAQ-listed commerce media network (FLNT) built on AWS infrastructure with Databricks for data processing, now migrating tree-based bidding models to deep learning. The company is actively replacing XGBoost, signaling a shift toward neural-network-driven customer acquisition and value-based bidding optimization. Hiring momentum is accelerating with sales roles dominating the queue—5 open sales positions against 1 engineering role—reflecting a sales-execution focus while the core platform tackles deep learning infrastructure and programmatic sales automation.
Fluent is a publicly traded commerce media solutions provider that connects consumer brands with engaged audiences through an exclusive advertising network. The company monetizes first-party data and proprietary machine learning to drive customer acquisition at scale, serving both advertisers seeking high-value customers and publishers seeking incremental revenue. Founded in 2010, Fluent operates across three main pillars: customer acquisition for brands, publisher monetization, and retail media partnerships. The company operates at scale across US and Canadian markets with 201–500 employees based in New York.
Fluent's stack centers on AWS (RDS, EKS, ECS, Lambda, SQS, SNS, CloudFront, WAF) for infrastructure, Databricks for data processing, and HubSpot + Apollo.io for sales operations. Security is handled via Okta, Wiz, GuardDuty, and CloudTrail.
Fluent is executing on deep learning evolution and production deep learning systems, value-based bidding optimization for ROAS, targeting algorithm refinement, and programmatic sales infrastructure—while migrating away from legacy tree-based models like XGBoost.
Fluent, Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.