Vexo Neural Engine v2.0 is live

Intelligence, Architected for scale.

Vexo provides the infrastructure to deploy, fine-tune, and monitor autonomous AI agents. Enterprise-grade reliability for the generative age.

vexo-agent-terminal — bash — 80x24
user@vexo:~$ init vexo-agent --model gpt-4-turbo --context 128k
> Initializing Vexo Neural Environment... > Allocating secure memory buffers... Done (0.02s) > Connecting to vector database... Connected
Agent "Sentinel-01" is ready. Waiting for input...
Input: Analyze Q3 financial datasets and forecast growth trajectories.
> Processing 1.4GB of unstructured data...

Trusted by forward-thinking teams

ACME
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Orbit
Cube
Stack

Complete Autonomy.

Stop building chat wrappers. Start building cognitive architectures that reason, plan, and execute complex workflows.

Recursive Workflows

Agents that can spawn sub-agents to handle parallel tasks, reducing latency by up to 40% in complex reasoning chains.

Semantic Memory

Built-in vector storage allows agents to retain context across sessions, enabling long-term personalization and learning.

Enterprise Guardrails

Define strict operational boundaries. PII redaction, output validation, and latency budgets built into the kernel.

Fine-tune logic instantly.

Adjust parameters in real-time. Our playground environment lets you test temperature, token limits, and reasoning depth without writing a line of code.

  • Hot-swap LLM providers (OpenAI, Anthropic, Llama)
  • Visual prompt chaining and debugging
  • A/B test agent personalities
Explore the Playground
Model Configuration ID: v-992a
0.7
4096 tokens
Stream Responses
JSON Mode

"Vexo handled our migration from rigid chatbots to fully autonomous support agents. We reduced human handoff by 72% in the first month."

Elena Rourke CTO at Nebula Financial

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