Nexla has announced that its enterprise AI connector library now includes more than 1,000 bidirectional connectors, strengthening its data integration platform for AI agents. The milestone reinforces the company's focus on providing enterprise AI systems with secure connectivity, contextual data access, and governance, enabling organizations to deploy AI agents across complex business environments more efficiently.
Quick Intel
Nexla has expanded its connector ecosystem to more than 1,000 bidirectional connectors, providing enterprises with broader connectivity across databases, SaaS applications, file systems, streaming platforms, large language models (LLMs), and vector stores.
According to the company, the milestone reflects the growing need for AI agents to securely access enterprise systems while maintaining governance and operational control.
Nexla believes many enterprise AI initiatives struggle because AI agents cannot easily connect to the systems containing business-critical information. Traditional integration platforms were designed primarily to move data for human users rather than autonomous AI systems.
As enterprise data remains distributed across numerous applications with different authentication methods and access controls, organizations often encounter delays when deploying AI agents into production environments.
Nexla's connector library enables AI agents to both retrieve information and perform actions across enterprise systems using a single bidirectional connection.
The platform includes support for:
To address unique enterprise requirements, Nexla also offers an AI Connector Builder capable of delivering custom connectors for unsupported systems in a median of under one week.
Alongside its connector ecosystem, Nexla provides MCP Studio, which creates governed, task-specific Model Context Protocol (MCP) servers tailored to individual business processes.
These MCP servers integrate with a wide range of AI applications and agent frameworks, including:
According to Nexla, every connector request undergoes identity verification, while all AI agent actions are recorded through comprehensive audit logging to support enterprise governance and compliance requirements.
"Enterprise AI doesn't fail because the models aren't good enough. It fails because agents can't reach the systems that hold business information. With 1,000+ connectors and governed, task-specific MCP access, Nexla gives enterprises the data layer their agents need," said Saket Saurabh, CEO & Co-Founder of Nexla.
With more than 1,000 enterprise connectors, secure identity controls, audit capabilities, and governed MCP access, Nexla aims to simplify enterprise AI deployment while enabling organizations to build AI-powered workflows across existing business systems.
The expanded connector ecosystem supports real-time data integration, helping enterprises accelerate AI adoption without compromising governance, security, or operational efficiency.
Nexla is the data layer for enterprise AI, giving AI apps and agents the connectivity, context, and governance to operate across 1,000+ enterprise systems in real time. Nexla supports ETL, ELT, streaming, APIs, RAG, and agentic integrations, helping organizations deliver trusted, governed, AI-ready data at scale. Trusted by Johnson & Johnson, DoorDash, and American Express, Nexla processes more than 1 trillion records and actions monthly and is SOC 2 Type II certified.
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