By Stephen Williams, CEO
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Mevo Raises New Funding to Power the Future of Marketing Intelligence
This week, we announced new funding led by Insight Partners that accelerates Mevo’s mission: building the marketing data and intelligence layer businesses need to thrive in the agentic era.
This investment reflects a fundamental shift in how marketing organizations must operate.
For 25 years, Marketing Evolution has helped brands drive growth by unifying and modeling their data to connect investments to outcomes. As data complexity and volume exploded, a universal challenge emerged: marketing data is fragmented, incomplete, and often inaccurate. To deliver trusted analytics, we built the infrastructure to ingest, augment, and unify those trillions of signals. That effort evolved into Mevo’s ontology-driven platform, powering measurement and optimization, and enabling generative AI to amplify decades of statistical and data science expertise.
AI has reshaped both the scale of this challenge and the size of the opportunity. In an agentic world, measurement no longer simply explains performance; it becomes the shared system of meaning that enables intelligent action by humans and agents alike.
The industry is now at an inflection point. Functions that once lived in separate categories—data ingestion, refinement, modeling, attribution, optimization—have converged into a single adaptive decision layer. Yet many organizations still operate within legacy boxes. Fragmented workflows create operational drag and force teams to stitch intelligence together manually, while reliance on commoditized models and syndicated datasets limits differentiation when competitors draw from the same inputs. As bloated martech stacks evolve, single-purpose solutions add friction that stalls growth. Sources of truth multiply, data agents fail to communicate, and teams struggle to make decisions with confidence. The result is costly complexity and diminishing returns.
Modern marketing demands something different: systems that synthesize structured and unstructured data, connect and contextualize signals across sources, reconstruct incomplete journeys, adapt as conditions change, and push recommendations into activation platforms in real time as new training signals arrive. These steps now function as one continuous learning loop—the engine of agentic systems.
Most enterprise AI adoption remains surface-level: task automation detached from business outcomes. Real transformation occurs when AI learns from the full breadth of enterprise data, interprets context, and supports decisions as they happen.
Doing so requires:
- Data that AI can trust—structured, reconciled, complete
- Data that differentiates—grounded in each business’s unique signals
- Data in motion—flowing into decisioning systems, not isolated in dashboards
Ontology provides that structure. It gives data meaning, context, and relational integrity. When data is organized semantically, learning becomes continuous, models adapt in real time, and every new dataset strengthens system intelligence. This foundation enables AI to be embedded across workflows, improves decision quality, and preserves each enterprise’s unique DNA.
Why Mevo Was Made for This Moment
Mevo has been building this foundation for years. We sit at the convergence of data infrastructure and decision intelligence, two layers that now function as one. Reliable AI decisioning depends on clean, connected data. Structuring that data for decisioning creates a reinforcement loop: the system learns from each enterprise’s unique signals, compounds proprietary intelligence, and uses synthetic data to fill gaps.
The Mevo Data Platform ingests, normalizes, and structures marketing data across paid, owned, and earned channels, audiences, creatives, and outcomes, producing a coherent, governed, AI-ready representation of the business. By predicting and generating consumer conversion journeys, Mevo enriches the foundation with census-calibrated synthetic populations and probabilistic inference, improving fidelity, protecting privacy, and increasing modeling accuracy.
On top of this infrastructure, the Decision Engine delivers continuous modeling, journey reconstruction, simulations, and real-time recommendations. Through generative decision learning, causal inference is embedded in a reinforcement learning loop, allowing every campaign to refine the system’s understanding of what drives lift. Intelligence compounds with use.
All of this becomes accessible through a UX built for marketers—an intuitive, visual, natural-language interface that puts exploration, simulation, and creation in human terms.
What This Means for Our Customers
Mevo strengthens the workflows that drive marketing performance, from planning to creative development, optimization to reporting, and cross-team collaboration.
Customers gain:
- Clear visibility into what’s happening and why
- More confident decisions through simulation and real-time recommendations
- Faster creation of briefs, summaries, and content grounded in their data
- Consistent, explainable reporting that scales across teams
- Standardized workflows that reduce manual effort and improve accuracy
What’s Next
Mevo was built to address the structural gaps limiting marketing measurement, informed by real-world customer challenges. That depth of experience now positions us to lead in the evolution of marketing intelligence.
With Insight Partners’ support, Mevo is accelerating development of a platform that enhances every marketer’s work through AI agents that deeply understand their business. We are advancing the next generation of systems that learn continuously, explain outcomes, and guide decisions at AI scale—building on a foundation already delivering meaningful ROI.
