Pervaziv AI has introduced a free tier for Cortex Enterprise AI, letting developers use the platform's chat capabilities directly in Visual Studio Code without entering payment information. The move gives engineering teams a low-commitment way to evaluate the enterprise AI platform, which has expanded over the past year to include eight custom AI models, 48 AI agents, and 10 MCP connections.
Developers can start by asking questions about code, exploring development problems, and getting familiar with Cortex inside the editor where they already work. Organizations that need deeper security, privacy controls, enterprise integrations, cloud connectivity, or broader governance can later move into Cortex Base, Premium, and Enterprise subscriptions through the same interface.
"Enterprise AI adoption should not begin with a procurement obstacle or a complicated platform decision," said Anoop Jaishankar, founder and CEO of Pervaziv AI. "It should begin with value. A developer should be able to open their own environment, ask Cortex for help, understand what the experience can contribute, and decide where it belongs."
Enterprise AI without a procurement project
AI adoption in software organizations has always faced a practical question: where does it start? For many teams, that question gets blocked behind procurement cycles, vendor evaluations, and platform decisions that delay any real usage.
Pervaziv's approach inverts that sequence. Developers get a useful experience first, then organizations decide whether to scale it into secure development workflows, software security analysis, connected knowledge, cloud environments, and governance through Cortex's broader platform. The company is also positioning this as an easier entry point into the Cortex AI Model Ensemble, which routes tasks to specialized models based on developer intent, task type, and risk profile.
Eight models and 48 agents behind the simple interface
The free tier intentionally hides a lot of complexity. Detailed model architecture with separate intelligence for coding, security analysis, privacy protection, secure AI behavior, code verification, and workflow routing is integrated behind the chat interface, so users do not need to understand every model boundary before asking a question.
Underneath, though, the platform itself is built for enterprises with broader requirements.
- 8 Custom AI Models handle different types of work, rather than applying a single model to every task.
- 48 AI Agents extend workflows across development, security, analysis, and enterprise planning.
- 10 MCP Connections allow Cortex to reach into connected tools; the platform also has more than 40 customization options.
The company is building toward an "Enterprise AI Control Layer," a single governance-and-intelligence layer that controls connected engineering workflows rather than treating software work as one undifferentiated AI task.
"The future of Enterprise AI is not about putting the biggest possible model behind every interaction," Jaishankar said. "It is about making intelligence useful at the point where work happens and suring that up with security, context, controls, validation, and human judgment."
What the free tier changes for your team
The free tier is a practical route around the adoption roadblock many IT teams hit: the requirement to commit to a platform before proving value. The tool is accessible in an environment most developers already use daily, and decisions to expand can be made with real usage data. You can try Cortex without shedding its enterprise features for a vendor pitch deck, and deciding to scale it later, downstream security, compliance, and enterprise control requirements.
This approach has particular relevance for engineering leaders under pressure to show AI results with limited budget for a small team trial vs. the entire organization going in blind. As with all AI tools, IT teams will want to put Cortex through its paces with real code bases and a clear evaluation framework. The free tier removes the first financial barrier to running that test.
For IT and development teams evaluating an AI yet to determine where they want to deploy it, the free tier now should give you a way to see if Cortex works on actual projects - before commit to structure this as a sanctioned pilot. And for the broader workforce, familiarizing yourself with how this platform structures AI agents and secure model routes to software work can help you understand what kind of enterprise AI platforms are moving toward, and how AI for IT & Development is shifting beyond simple code completion toward a more controlled and integrated model.
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