In a significant development for the AI field, Viomba has launched its Model Context Protocol (MCP), making high-precision human attention intelligence available to a broad range of AI agents. This achievement follows a decade of research and development, enabling creators and marketers to use real-time attention metrics without needing complex contracts or configurations.
A Decade of Building
Viomba's journey has focused on collecting high-quality gaze fixation data over the years. Using Tobii infrared eye trackers, the company has amassed billions of data points from various media domains, distinguishing genuine eye fixations from fleeting movements at a hardware level. Founder and CEO Markku Mäntymaa highlighted the challenge the company faced: "Our strongest competitive moat has been the sheer difficulty of consistently collecting high quality real world gaze fixation data at scale, year after year on ad-on-placement level, while knowing any AI is only as intelligent as the data it trained with."
Features of Viomba MCP
The MCP allows any AI agent running on platforms like Claude, Cursor, or ChatGPT to utilize Viomba's attention intelligence in real time. Users can evaluate the service for free, with various credit packs available, including 200 free Attention Credits upon email registration and up to 2,000 credits for validated developers. This approach not only broadens access but also promotes cost efficiency, making it simpler for businesses to engage with attention metrics.
Viomba MCP provides a variety of features designed to enhance creative performance:
- Attention Score and Benchmarking: Users can assess and benchmark any display, social, or video creative before serving impressions.
- High Attention Creative Variants: The platform supports the creation and optimization of high attention creative variants, ensuring campaigns resonate with audiences.
- Outcome Predictions: It offers predictions specific to demand-side platforms (DSP) and supply-side platforms (SSP), facilitating informed decision-making at the placement level.
Bridging Measurement and Design
A key aspect of Viomba MCP is its ability to turn measurement into actionable design. For the first time, AI agents can explain why certain creative elements, placements, and contexts attract human attention. This capability connects creative development to outcome reporting, fostering a more transparent relationship between media buyers and publishers.
The technology adheres to the highest standards established by the Interactive Advertising Bureau (IAB) and the Media Rating Council (MRC) attention guidelines, combining deterministic human attention evidence with scalable predictive modeling. By integrating creative aspects into the value chain, Viomba seeks to reduce mistrust in attention-driven placements, ultimately improving the quality of attention measurement in the advertising ecosystem.
Implications for the Future
The launch of Viomba MCP marks a significant shift in the AI token economy and the broader AI infrastructure. As AI agents' capabilities grow, the availability of high-quality attention intelligence could transform marketing strategies across various sectors. By enabling AI agents to utilize advanced attention metrics, Viomba is setting a new standard for developing and evaluating creative content.
As the industry progresses, adopting Viomba's technology may become crucial for brands aiming to optimize their engagement strategies, helping them stay competitive in an increasingly crowded marketplace. The future of advertising may depend on the ability to not only measure human attention but also to understand and design for it effectively.
The stories that move AI & crypto markets — before the market reacts.
Free. 7am ET. Five stories. 62,400 readers.
