Domo (NASDAQ: DOMO) announced that it has joined the Open Semantic Interchange (OSI), a vendor‑neutral, open‑source initiative backed by Snowflake, Salesforce, dbt Labs and other industry leaders. The partnership will allow Domo to adopt a shared set of data semantics, ensuring that metrics and definitions are consistent across dashboards, notebooks, machine‑learning models and other tools.
The OSI initiative is designed to eliminate the fragmentation that currently plagues data definitions, a hurdle that slows AI adoption and limits the effectiveness of agent‑driven applications. By aligning on a common semantic framework, Domo’s customers can more easily integrate data from disparate sources, reducing the time and cost required to build AI models that rely on clean, consistent inputs.
Domo’s Chief Analytics Officer Ben Schein said the move “eliminates the chaos of conflicting metrics. OSI will help our customers go from fragmented data definitions to broadly understood insights, a critical step to ensuring their data is AI‑ready and able to power agents and apps that drive real business outcomes.” The quote underscores how the partnership supports Domo’s broader AI strategy, which includes the Agent Catalyst toolkit, AI Chat, and an AI Readiness guide that help customers prepare data for autonomous AI solutions.
Financially, Domo reported Q2 fiscal 2026 revenue of $79.7 million, up 1.7% year‑over‑year, and a non‑GAAP EPS of $0.02, beating analysts’ expectation of a $0.05 loss per share. The modest revenue growth reflects steady demand for Domo’s subscription‑based platform, while the earnings beat is largely attributable to disciplined cost management and a favorable mix of high‑margin AI‑centric contracts. Domo has not been profitable over the past twelve months, but its stock has delivered a 56.92% year‑to‑date return, indicating investor confidence in the company’s long‑term AI trajectory.
The OSI partnership positions Domo to accelerate data interoperability and unlock new AI opportunities for its customers. By standardizing data semantics, Domo can reduce integration friction, improve model accuracy, and expand the reach of its AI tools across more industries. The move also signals to the market that Domo is committed to open standards, potentially enhancing its competitive edge against rivals that rely on proprietary data models.
The announcement is a strategic milestone that could influence Domo’s future growth trajectory, making it a material event for investors and analysts monitoring the company’s AI and data‑platform evolution.
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