Airbyte announces major updates to Airbyte Agents platform. The update from Airbyte also includes expanded write capabilities for HubSpot, so AI agents can now create and update contacts, companies, deals, and tickets. Airbyte has announced major updates to its Airbyte Agents platform, introducing a workspaces feature that provides organisations with governance for organising users, data connectors, and AI agents. The update also includes expanded write capabilities for HubSpot, so now AI agents can create and update contacts, companies, deals, and tickets. Together, these enhancements strengthen Airbyte's position as the data platform for enterprise agentic AI. "With workspaces, organisations can effectively serve many different users with only the access to the data connectors that they require, which provides organisations with a new level of governance for their AI usage," said Michel Tricot, CEO and Co-Founder of Airbyte. "And, the write capabilities added to the HubSpot connector enable AI agents to not just retrieve information, but to take action." New Workspaces Provide Flexibility, Improve Governance The new workspaces feature gives users their own separate instance for Airbyte Agents. Each workspace can have its own users and defined access to specific data connectors with the ability to add and remove users from different workspaces, as needed. Workspaces allow a user or team to create a space, add the connectors that they should have access to, and define which people are members of that space. Only members of a workspace can view and use the connectors within it. Administrators for the organisation can see every workspace regardless, since they need visibility into usage and billing across the platform. This enables departments such as sales, marketing, engineering, and support to share data connectors while restricting access to sensitive systems. Teams can create both shared and private workspaces, ensuring AI agents only access data authorised for that workspace. The Airbyte Agents Context Store - a replicated, search-optimised index - is defined by the data connectors that are used, and specific to each workspace. This provides the agents with optimised data and context that is specific to the workspace. Also, because each workspace maintains its own specific context store, organisations gain stronger governance of data and user access. Workspaces are part of the Airbyte Team plan, which is built for organisations that have multiple users and require single sign-on (SSO) security. The Airbyte Agents Team plan is priced at $299 a month and comes with 10,000 Agent Operations (AOs) a month. Additional AOs beyond the 10,000 a month cost $0.005 per operation. AI Agents Now Write to HubSpot Airbyte has added write operations for HubSpot Agent Connectors. Now, agents can create and update four HubSpot object types: contacts, companies, deals, and tickets. To ensure enterprise-grade governance, organisations maintain complete control over which objects support read and write operations. Permission scopes follow the principle of least privilege, allowing administrators to grant only the access required for each workflow. Building the Enterprise Context Layer for AI Agents These capabilities advance Airbyte's vision of creating the industry's leading data platform for agentic AI. Airbyte provides the foundation for production AI systems by combining enterprise connectivity, indexed contextual understanding, semantic retrieval, governance, and operational execution into a unified platform for AI agents. Sophia Bennett is a news curator at Martechvibe, covering global developments across marketing technology, digital transformation, AI, data, and customer experience trends. View More

Airbyte has launched major updates to its Airbyte Agents platform, expanding how AI agents access and act on enterprise data. The company is now available in the OpenAI App Marketplace, enabling users to connect AI agents directly to hundreds of enterprise data sources through Airbyte's connector catalogue. Airbyte introduced the Airbyte Agent CLI, a command line interface that brings Airbyte Agents into developer terminals, scripts, and CI/CD pipelines. The CLI allows developers and AI agents to list available connectors, inspect schemas, and execute operations across connected systems. The company's Salesforce Agent Connector now supports write operations, enabling agents to update records directly inside Salesforce. This transforms Airbyte from a data access layer into an operational execution layer, allowing agents to execute tasks such as updating customer records and automating operational workflows.

Airbyte announces update to data movement platform, plus industry recognition. Named "ELT Platform of the Year" by Data Breakthrough and Recognized in CRN AI 100 for AI Data and Analytics, plus independent study reports 239% return-on-investment SAN FRANCISCO-(BUSINESS WIRE)-Airbyte, creator of the open data movement platform, today announced the release of Airbyte 2.1, along with industry recognition for its role in powering enterprise AI and agentic AI systems with trusted, production-ready data infrastructure. Also, the company released results of an Airbyte commissioned Forrester Consulting Total Economic Impact(TM)(TEI) study that showed: a 239% return-on-investment (ROI); improvements in data reliability and quality; simplified compliance and regulatory reporting; plus, faster and more informed decision-making as data ingestion and management is standardized. The study findings are based on four organizations' experience using Airbyte. Those are aggregated to form a composite organization that showed over a three-year period a 60% productivity lift when building pipelines and a 40% productivity lift when maintaining pipelines. The Forrester study is available here. The latest Airbyte update improves scalability, deployment flexibility, governance, observability, and operational reliability, which helps organizations manage increasingly complex data pipelines that can be used for AI applications. The update follows a series of industry recognitions, including being named "Data Integration and Warehousing / ELT Platform of the Year" by Data Breakthrough Awards and inclusion in the 2026 CRN AI 100 list of the hottest AI data and analytics companies. Airbyte 2.1 builds on the company's strategy of becoming the operational data movement layer for modern AI infrastructure, enabling enterprises to continuously connect trusted operational data to cloud data platforms, vector databases, large language models (LLMs), and AI agents. "This product update addresses the need for scalable, enterprise-grade infrastructure that can move and govern data across increasingly distributed AI and analytics environments," said Michel Tricot, CEO and co-founder of Airbyte. "We are building the infrastructure layer that connects enterprise systems to AI in a reliable and operationally sustainable way." The new Airbyte 2.1 delivers: * Improved performance and scalability for large enterprise deployments; * Expanded enterprise governance and operational controls; * Enhanced self-managed deployment capabilities; * Additional reliability and observability improvements for production pipelines; * Expanded support for modern AI and analytics architectures; * Connector and synchronization improvements across structured and unstructured data sources. The update continues Airbyte's investment in AI-native data infrastructure as organizations increasingly deploy AI copilots, autonomous agents, retrieval-augmented generation (RAG) systems, and vector search architectures. That requires infrastructure capable of continuously synchronizing operational data across fragmented enterprise systems. Airbyte enables organizations to unify data movement across databases, SaaS applications, APIs, warehouses, data lakes, and vector databases through hundreds of pre-built connectors and extensible integration capabilities. Airbyte 2.1 is designed to simplify operations for platform engineering, data engineering, and AI infrastructure teams managing production-scale data movement environments. The release builds on Airbyte's broader strategy around agentic AI infrastructure. Last month, the company launched Airbyte Agents, which allows autonomous AI agents to securely connect with external enterprise data systems at scale. Industry Recognition According to CRN, Airbyte was recognized in the AI Data and Analytics category because of its growing role in enabling AI applications through secure, scalable data movement and management infrastructure. The publication highlighted Airbyte's Agent Engine initiative, vector database support, and its transition to a capacity-based pricing model designed to make AI and analytics costs more predictable for enterprises operating large-scale data and AI workloads. The Data Breakthrough Award further underscores the growing importance of data infrastructure in enterprise AI adoption. The annual awards program recognizes technology companies driving innovation across cloud, AI, cybersecurity, data infrastructure, and analytics markets. About Airbyte Airbyte is the context infrastructure platform for AI agents and analytics. Airbyte Agents gives every agent a unified view of operational data through a replicated, search-optimized Context Store, a native SDK, and an MCP endpoint that works with any MCP-compatible client. Airbyte Agents is built on Airbyte's open-source data replication platform, powered by the industry's largest ecosystem of connectors and trusted by 7,000 enterprises to move structured and unstructured data across multi-cloud and hybrid environments. Data and AI teams use Airbyte to build both pipelines and agents on a shared foundation. For more information, visit airbyte.com. Contacts. Media Contact: