The technology behind our AI-native B2B performance marketing agency
Floma uses marketing engineering as a discipline to embed marketing judgment directly into AI. Our technology is grounded in decades of combined enterprise marketing expertise from leaders from Google, SAP and Zoom.
Marketing Engineering embeds CMO judgment directly into AI.
Floma's senior B2B marketers and AI engineers encode their expertise into Floma's agents, turning judgment that once lived in a single CMO's mind into capability enterprise marketing teams rely on at scale.
Floma AI runs the connected performance loop from strategy and creative to paid media management, testing, and budget allocation.
We use our technology to do the work of an entire traditional agency or domain-expert team.
Give Floma your product, brand, and goal. We take care of the rest.
With Floma's in-house B2B experts supervising the agents every step of the way.
Floma AI creates, tests, learns and iterates
Three groups of agents run one continuous performance loop, under the supervision of Floma's elite B2B marketing leadership.
Creative Agents
Campaign strategy, messaging, and concepts built from research on your buyer and product.
Testing Agents
Iterative message and creative testing, optimized across channels for growth.
Budget Agents
Reallocate budget across the highest performing channels to optimize the media mix.
Purpose-built for technical products and technical buyers
Technical accuracy, enforced
Agents ground every asset in your product docs, and robust audit agents plus senior-marketer governance ensures accuracy, quality and brand adherence. Technical buyers see your product described exactly as it works.
Compliance & brand safety, built in
Floma enforces character counts, editorial guidelines and ad-policy rules across all major ad channels, including LinkedIn, Google, Meta, and display/ABM, and applies your brand-safety guardrails to every asset.
Messaging that resonates with technical buyers
Floma writes for the personas enterprise tech sells to: engineers, security, IT, platform and dev teams. It models product-buyer-fit storylines and iterates creatives based on performance data.
