Yellow.ai is an enterprise platform for building agentic AI that automates customer and employee service across chat and voice. It uses a multi-LLM architecture to choose the best model, keep context, and act across 35+ channels in 135+ languages. Teams design, test, and deploy agents with natural-language prompts, then improve them with analytics and knowledge creation. Integrations connect to CRMs, ticketing, telephony, and data systems so conversations trigger real work end-to-end.
Design, test, and deploy enterprise-grade AI agents with natural-language prompts. Yellow.ai supports the full lifecycle—prompting, evaluation, automated testing, and rollout—so teams move from prototype to production quickly. Agents maintain context, reason over business goals, and take action to complete tasks, delivering human-like conversations that scale across complex use cases while keeping governance and approvals in one workspace for faster, safer iteration.
A flexible multi-LLM backbone routes tasks across leading models to balance quality, speed, and cost. This reduces single-vendor risk and lets you tailor behavior by use case or region. Combined with Yellow.ai’s Orchestrator LLM and guardrails, agents stay on brand, compliant, and resilient to edge cases in production. As the ecosystem evolves, you can adopt better models without retooling pipelines, preserving accuracy and control in mission-critical workflows.
Reach customers on the channels they already use—web chat, apps, WhatsApp, email, SMS, social, and telephony—with voice and chat handled in one platform. Yellow.ai supports 135+ languages across 35+ channels, so global teams deliver consistent experiences without stitching point solutions or separate voice stacks. Built-in routing, escalation, and agent handoff help meet SLAs, and unified context keeps conversations coherent as people switch between channels and devices.
Analytics do more than report—they improve the agent. Teams analyze conversations, identify gaps, and generate knowledge base content automatically. Prompts and flows are optimized from real usage, creating a feedback loop where resolution rates climb over time with less manual tuning. Leaders gain visibility by use case and market, turning operational data into clear actions for training, content, staffing, and funnel improvements across regions and languages.
Connect agents to CRMs, ticketing, commerce, telephony, and data warehouses to automate real work end-to-end. Security, access controls, and audit trails support enterprise compliance, while modular pricing aligns spend to outcomes. This enables large organizations to scale automation globally without lock-in to a single model or fragile custom code. Proven patterns and integration blueprints accelerate time to value across brands, markets, and business units.
Enterprises that need to automate high-volume customer and employee service across many markets and channels. Ideal for support, logistics, telecom, travel, banking, and retail teams seeking measurable deflection with strong governance. Also fits leaders who want agentic AI that plugs into existing systems—chat and voice together—rather than piecemeal bots that fail to scale. Perfect when scale, compliance, and consistent experiences matter most across languages and regions.
Replaces fragmented chatbots and manual queues with agentic AI that understands intent, retains context, and takes action across channels. It solves the scaling pain of meeting SLAs and language coverage while reducing handle times and handoffs. Leaders gain one platform to design, govern, and improve agents, turning operational data into higher resolution rates and lower support costs. The outcome is faster responses, consistent quality, and automation that grows with the business.
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