VivGrid
Last Updated on: Feb 4, 2026
VivGrid
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What is VivGrid?
Vivgrid is an end-to-end AI agent infrastructure platform designed to help teams move confidently from prototype to production. Instead of stitching together multiple frameworks and tools, Vivgrid provides a unified environment for observability, debugging, evaluation, testing, deployment, and inference of AI agents. The platform emphasizes reliability, scalability, and correctness, enabling teams to ship resilient AI systems without guesswork. Its globally distributed inference infrastructure ensures low-latency performance and dependable scale, even as workloads grow.
Who can use VivGrid & how?
  • AI Engineering Teams: Deploy and manage production-grade AI agents.
  • Startups: Move prototypes to scalable systems faster.
  • Enterprises: Standardize AI agent development and deployment.
  • ML Engineers: Debug, test, and evaluate agent behavior.
  • Platform Teams: Manage inference infrastructure reliably.
  • Builders Shipping AI: Reduce risk in production launches.

How to Use It?
  • Connect agents: Integrate existing or new AI agents.
  • Observe behavior: Monitor performance and decision traces.
  • Debug & evaluate: Test agents across scenarios.
  • Deploy systems: Push agents into production environments.
  • Scale inference: Use distributed infrastructure for low latency.
  • Iterate safely: Improve agents with measurable feedback.
What's so unique or special about VivGrid?
  • End-to-end agent lifecycle: Covers build, test, deploy, and scale.
  • AI observability focus: Visibility into agent decisions.
  • Production-first mindset: Designed for real-world deployment.
  • Global inference infrastructure: Reliable low-latency execution.
  • Mental model driven: Guides teams toward resilient systems.
  • Reduced tool sprawl: One platform instead of many frameworks.
Things We Like
  • Strong production focus.
  • Excellent observability and debugging.
  • Simplifies complex AI stacks.
  • Scales reliably.
  • Ideal for serious AI deployments.
  • Clear system-oriented approach.
Things We Don't Like
  • Overkill for simple experiments.
  • Requires AI engineering knowledge.
  • Not aimed at casual users.
  • Setup may need planning.
  • Learning curve for new teams.
  • Enterprise features may cost more.
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Pricing
Freemium

Free

Free

Perfect for individuals and small projects
Unlimited LLM requests
Rate Limit: 6 RPM, 20,000 TPM
Model: gpt-4.1, gemini-2.5-pro, gemini-2.5-flash, deepseek-r1
Geo-distributed LLM Providers with low latency
MCP & Function Calling Tools deployments
1-day API access log retention
Email support

Growth

$ 25.00

Ideal for growing teams and businesses
All Free plan features
Models: gpt-4.1, gemini-2.5-pro, gemini-2.5-flash, deepseek-r1, deepseek-v3, Claude, Groq, Cerebras and more
Rate Limit: 5,000 RPM, 800,000 TPM
MCP & Function Calling Tools deployments
LLM API and Tools Call Latency Breakdown
World traffic insights
90-day API access log retention
Advanced support
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Popular Mention

FAQs

It helps teams ship reliable, production-ready AI agents without stitching together multiple tools.
No—it is useful for startups and enterprises, as long as production reliability matters.
Yes—observability and debugging are core features.
Yes—its distributed inference infrastructure supports low-latency global usage.
It is a full platform covering the AI agent lifecycle.

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