Trusted by 1,300+ Enterprises for Transformative AI-Powered Service

Build, test, and optimize AI agents using one powerful platform

Leveraging insights from 16B+ customer conversations annually, Yellow.ai’s agentic AI platform is built to autonomously drive human-like conversations for complex enterprise ecosystems. The platform utilizes 15+ cutting-edge LLM models to power AI agents that understand user intent, retrieve accurate information, achieve complex business goals, and maintain context throughout.

AI Agent Development & Deployment Lifecycle

Discover

From data to deployment with Zero Setup AI agents

Build

Create no-code AI agents in minutes

Respond

Deliver grounded, precise answers with Agentic RAG

Debug

Accelerate development to deployment cycles

Test

Intelligent test creation and evaluation

Track

Actionable insights to track metrics in real time

Analyze

Drive continuous improvement of AI agents

Book a demo

Discover Build Respond Debug Test Track Analyze

Discover

From data to deployment with Zero Setup AI agents

Enterprises get a ready to deploy AI blueprint — our agent discovery feature fetches historical information( customer data, knowledge bases and SOPs) to identify support issues and create AI agents that can tackle them.

Automatically extract user intents, FAQs and pain points
Identify scenarios where where automation is required
Export intents, conversations and flows directly into the AI builder

Build

Create powerful AI agents in minutes

Design workflows with simple prompts using our AI agent builder — no coding, no complexity. Our AI agents can work on multi-step queries and drive automated workflows, without any training.

Create dedicated AI agents with minimal instructions – specify the goal, define its scope and it’ll get the job done.
Accomplish complex goals and tasks —order fulfillment, ticketing, approvals—directly via AI agents.
Provide multi-modal support and engage with customers via rich media.

Respond

Deliver grounded, precise answers with Agentic RAG

Powered by our Agentic RAG architecture which combines intelligent retrieval with reasoning and action, Yellow.ai’s AI Agents don’t just retrieve—they think, act, and learn—and deliver next-level intelligence for your enterprise.

Maintain complete context throughout the conversation and ask follow up questions- no more lost threads.
With automatic tagging and chunking, AI agents can find the most relevant content instantly. No more broad, unstructured searches.
Sync knowledge from any source—websites, custom APIs, third-party platforms to keep content updated.

Debug

Accelerate development to deployment cycles

Our AI copilot makes debugging AI Agent behaviour easy — get complete visibility into how AI agents make decisions, call workflows, and drive every step of the conversation.

Test agent behavior across different channels
View detailed conversation traces to understand logic and edit/ troubleshoot accordingly
Analyze failures and deep dive into root cause

Test

Intelligent test creation and evaluation

Automate real-time testing and evaluation within one interface, to ensure that deployments are robust, fast, and enterprise-ready.

Automate tests at scale, cover edge cases, and improve AI agents with smart insights.
Handle scenarios such as managing dynamic conversations ( changing customer requirements) and edge cases. No manual rewrites
Get detailed reports to identify failures and feed insights back into training

Track

Actionable insights to track metrics in real time

Get access to in-depth conversation metrics, identify opportunities to improve CSAT, and drive higher automation of conversations with AI.

Access 20+ dashboards that showcase metrics such as automation rate, AI resolution rate, and automation opportunities.
Create widgets and reporting dashboards according your business needs
Deep dive into what journeys users are taking, where and why are users dropping off

Analyze

Drive continuous improvement of AI agents

Track what works, what doesn’t — and continuously improve your AI agent’s ability to answer customer queries.

Get strategic insights with topic clustering and user sentiments – identify knowledge gaps, and auto-generate improvements.
Get topic level and conversation level breakdown of user sentiments. Get a Timeline view of user sentiments across periods.
Create a self learning loopback for AI agent — Generate knowledge base articles from successful agent interaction