Informatica Stock Price, News & Analysis
Company Description
Informatica Inc. (historically traded on the New York Stock Exchange under the symbol INFA) is described in its public communications as a leader in AI-powered enterprise cloud data management. The company focuses on helping businesses unlock the value of their data and AI as data grows in complexity and volume. Informatica’s core offering is its Intelligent Data Management Cloud™ (IDMC), which it characterizes as an end-to-end platform with integrated solutions to connect, manage and unify data across cloud, hybrid and multi‑cloud environments. According to multiple company press releases, the platform is powered by CLAIRE® AI and integrates natively with major cloud providers, data warehouses and analytics tools, with an emphasis on governed data, simplified operations and scalable deployment.
Public materials state that Informatica is trusted by approximately 5,000 customers in nearly 100 countries, including more than 80 of the Fortune 100. The company positions IDMC as the backbone of platform‑agnostic, cloud data‑driven transformation, aiming to give organizations freedom of choice and to help them avoid vendor lock‑in by working across diverse technology stacks. Informatica’s business activity, as described in its news releases, spans sectors such as aviation catering, manufacturing and financial services, where customers use its cloud data management, master data management (MDM) and data governance capabilities to modernize digital infrastructure and support AI initiatives.
Business focus and platform capabilities
Across its announcements, Informatica highlights several major capability areas within IDMC. These include Master Data Management (MDM) delivered as SaaS, Cloud Data Governance and Catalog (CDGC), Cloud Data Quality (CDQ), data integration and an AI‑driven automation layer built on CLAIRE AI. The company describes IDMC as offering integrated services that can connect to data in any cloud, hybrid or multi‑cloud environment and unify that data into trusted, AI‑ready form. Informatica also emphasizes support for unstructured data governance in private preview, with the ability to scan, classify and catalog unstructured files using hierarchical taxonomies for generative AI use cases.
Informatica’s public disclosures describe a strong emphasis on agentic AI and autonomous data management. The company has announced CLAIRE Agents, a suite of AI‑driven agents designed to automate complex data management goals, such as data exploration, enterprise discovery, ELT pipeline creation, product help, data quality rule generation and product experience enrichment. It has also introduced CLAIRE Copilot capabilities for MDM and data integration, allowing users to interact with data and documentation through natural language queries. These offerings are presented as tools to help enterprises build trusted data foundations for AI systems, optimize workflows and improve productivity.
Customer use cases and industry applications
Informatica’s press releases provide examples of how organizations apply its technology. Emirates Flight Catering selected Informatica’s cloud‑based multidomain MDM SaaS platform to address data fragmentation across product, supplier and customer data, aiming to improve efficiency, transparency and sustainability in a large‑scale catering operation. Yamaha Motor Co., Ltd. chose Informatica’s AI‑powered MDM solution to streamline and centralize data across global ERP systems and business operations, with the goal of creating a comprehensive, contextualized 360‑degree view of data to support decision‑making and productivity.
In the financial sector, Thailand’s Krungsri bank is implementing Informatica’s Cloud Data Governance and Catalog and Cloud Data Quality on top of IDMC as part of its move to a hybrid cloud environment with Amazon Web Services. According to the bank’s and Informatica’s statements, these tools are intended to improve data discovery, metadata management and data quality, supporting regulatory compliance, operational efficiency and customer‑centric innovation. These examples illustrate Informatica’s focus on data governance, master data management and AI‑ready data in complex, regulated and global environments.
Partnerships and ecosystem
Informatica’s public announcements highlight an extensive ecosystem of technology partnerships. The company reports expanded collaborations with Oracle, AWS, Microsoft, Databricks, Snowflake, NVIDIA and Salesforce, among others. For example, Informatica has announced native availability of its MDM SaaS on Oracle Cloud Infrastructure (OCI), support for IDMC deployments within OCI Dedicated Region, and a blueprint for agentic AI on OCI with no‑code connectors and APIs. It has also described integrations with AWS services, Databricks’ data lakehouse and Iceberg table formats, Microsoft Fabric, Snowflake AI Data Cloud and NVIDIA AI Enterprise.
These partnerships are presented as a way for customers to unify and govern data across heterogeneous environments and to connect Informatica’s data management capabilities to AI platforms and agent frameworks. Informatica also notes extended integration with Salesforce’s Agentforce and an MDM SaaS extension for Snowflake AI Data Cloud, positioning IDMC as a data foundation that can feed multiple AI and analytics ecosystems.
AI and automation strategy
Informatica’s communications emphasize a strategy centered on AI‑driven automation of data management tasks. The company has introduced AI Agent Engineering within IDMC, described as a service that enables enterprises to build, connect, orchestrate and manage customizable Informatica agents through a no‑code interface. According to the company, this is intended to reduce AI agent development time and provide capabilities for testing, monitoring, logging, observability and full software development lifecycle support for AI agents.
Informatica has also announced enhancements to CLAIRE GPT, including planning, advanced reasoning and improved natural language understanding, with the goal of helping users plan, automate and optimize data workflows via natural language interactions. The company states that CLAIRE GPT uses models from Azure OpenAI and AWS Bedrock Claude within Informatica’s secure cloud environment to deliver agentic data management for enterprises. Together with AI‑powered lineage discovery, AI governance and inventory workflows, these capabilities are positioned as tools to support responsible deployment and governance of AI models and data assets.
Customer success and recognition
Informatica has publicly highlighted its customer success offerings and industry recognition. It has announced enhancements to its customer success portfolio, including platform insights, upgrade intelligence, deployment automation, business impact prioritization and priority event assurance. These offerings are described as ways to help customers achieve faster return on investment, reduce total cost of ownership and gain more value from IDMC.
The company reports that it has earned J.D. Power certification for “Outstanding Customer Service Experience” in technical support for multiple consecutive years and has received a Technology & Services Industry Association (TSIA) Star Award for Excellence in Content Strategy. Informatica also cites recognition as a Leader or equivalent designation in research evaluations such as the Gartner Magic Quadrant for Integration Platform as a Service, The Forrester Wave for data governance and master data management solutions, and several ISG and Nucleus Research reports covering data management, data integration, data governance, data quality and related areas.
Corporate status and acquisition by Salesforce
Informatica’s regulatory filings and press releases document a significant corporate development. On May 26, 2025, the company entered into an Agreement and Plan of Merger with Salesforce, Inc. and a Salesforce subsidiary. According to a Current Report on Form 8‑K filed on November 18, 2025, that subsidiary merged with and into Informatica on November 18, 2025, with Informatica continuing as the surviving corporation and becoming a wholly owned subsidiary of Salesforce. The same filing states that, in connection with the merger, trading of Informatica’s Class A common stock on the New York Stock Exchange under the ticker INFA was suspended, and a Form 25 was to be filed to remove the listing and registration of that class of stock.
A Form 25‑NSE filed on November 18, 2025, by the New York Stock Exchange relates to the removal of Informatica’s Class A common stock from listing and registration under Section 12(b) of the Securities Exchange Act of 1934. Subsequently, a Form 15‑12G filed on November 28, 2025, certifies the termination of registration of Informatica’s Class A common stock under Section 12(g) and the suspension of the company’s duty to file periodic reports under Sections 13 and 15(d) of the Exchange Act. The Form 15 notes that, as of November 18, 2025, Informatica had become a wholly owned subsidiary of Salesforce, with one holder of record.
These filings indicate that Informatica’s publicly traded Class A common stock is no longer listed on the New York Stock Exchange and that the company has ceased to be an SEC‑reporting issuer, while continuing to operate as part of Salesforce. Investors researching the historical INFA ticker are therefore looking at a company that has been acquired and is now a private subsidiary within a larger technology group.
Segment focus and key themes
Based on its public communications, Informatica’s activities can be summarized around several recurring themes:
- Enterprise cloud data management: Providing a platform to connect, manage and unify data across cloud, hybrid and multi‑cloud environments.
- AI‑powered automation: Using CLAIRE AI, CLAIRE Agents, CLAIRE Copilot and CLAIRE GPT to automate data discovery, integration, quality, governance and lineage.
- Master data management: Offering multidomain MDM SaaS solutions for domains such as customer, supplier, product, patient and provider data.
- Data governance and quality: Delivering tools like CDGC and CDQ to support data discovery, metadata management, data quality and AI governance.
- Cloud and AI ecosystem integration: Working with major cloud and data platforms to provide native or integrated capabilities that support AI and analytics.
- Customer success and support: Emphasizing customer success offerings and independent recognition for technical support and content strategy.