As we enter 2026, consumer data is no longer just something businesses access. It’s something they must understand, trust, and act on instantly.
2025 was a year of acceleration for MeasureOne and for the broader ecosystem:
We recently launched MeasureOne GPT, an AI-powered guide designed to help customers, and future customers, get to know the MeasureOne ecosystem of consumer data products and solutions.
As our platform has grown to support more data types, workflows, and use cases, we saw a clear need: teams shouldn’t have to dig through documentation or guess how pieces fit together. MeasureOne GPT helps users explore our APIs, understand verification workflows, and quickly identify the right solutions for their use case, whether that’s insurance monitoring, intelligent document processing, or API-based data access.
This is AI applied where it matters most: reducing friction between powerful infrastructure and the people building with it.
Modern automation starts with connectivity. But not all connectivity is created equal.
As agentic systems mature, traditional point-to-point integrations struggle under real-world complexity. That’s why MCP servers are becoming foundational infrastructure for modern data access.
MCP enables structured, controlled connectivity between systems, allowing data to be orchestrated across workflows rather than pulled in isolation. When paired with APIs and consumer-permissioned access, MCP creates the backbone for scalable automation, one that supports AI without sacrificing governance, reliability, or compliance.
This shift is redefining how teams think about data architecture: not as a collection of integrations, but as an intelligent system designed to adapt.
As AI becomes embedded into operational workflows, usability matters just as much as capability. Teams will not only need powerful systems; they will also need ones that are intuitive, explainable, and fast to implement.
AI-driven interfaces now help teams navigate complex data environments, understand verification workflows, and deploy solutions with confidence. This is AI moving closer to the operator, reducing friction between infrastructure and execution. The result is faster onboarding, clearer decisions, and less dependency on manual intervention.
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Connectivity and AI only deliver value when they power real-world workflows. Nowhere is this more evident than in industries where risk is high and decisions must be made quickly.
In the gig economy, verifying insurance once at onboarding is no longer enough. Drivers change policies, let coverage lapse, or remove required endorsements—often without notifying the platform. Continuous coverage monitoring transforms insurance from a static check into a living data workflow, helping platforms reduce liability while scaling safely.
In property management, rental application fraud continues to rise in both volume and sophistication. Manual document reviews struggle to keep up, creating exposure and delays. Automated data verification, especially for renters insurance, allows teams to spot inconsistencies earlier, approve qualified applicants faster, and protect properties without slowing growth.
Looking back at 2025, our focus was clear: build infrastructure that works in the real world. That meant becoming truly data-agnostic, supporting documents and enhancing our APIs and credentialed connections within the same workflows. It meant designing for AI-native automation, not retrofitting legacy processes. And it meant investing in the systems, like MCP and GPTs, that make all of this scalable.
Looking ahead, the direction is even more clear.
2026 will be defined by:
With that, we’re more excited than ever to deliver accurate consumer data to all of you.
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