Yellow

What is yellow.ai

Yellow.ai is an enterprise-focused conversational AI platform that enables teams to design, deploy, and manage chatbots and voice bots across multiple channels. The product combines natural language understanding (NLU), dialogue orchestration, low-code/no-code builder interfaces, and analytics to support customer service, sales automation, HR workflows, and other conversational experiences.

The platform is built to serve mid-market and large enterprises with use cases that require integration to back-end systems (CRMs, ERPs, ticketing) and regulated workflows. It provides channel connectors for messaging apps (WhatsApp, Facebook Messenger), web and mobile chat, voice channels (IVR and telephony), and enterprise collaboration tools.

Yellow.ai emphasizes operational features that enterprises require: role-based access and multi-tenant support, localization and multi-lingual NLU, enterprise-grade security controls, and scalable cloud deployment options. It includes conversational analytics and conversation lifecycle tools for continuous improvement.

Yellow.ai features

What does Yellow.ai do?

Yellow.ai provides the building blocks to create intelligent conversational experiences and to operationalize them at scale. Key capabilities include: intent recognition and entity extraction using NLU, multi-turn dialogue management, channel orchestration so one bot can run on chat, voice, and messaging simultaneously, and business process connectors for CRM, ticketing, and e-commerce systems.

The platform supplies a visual builder for non-developers alongside developer SDKs for custom logic. It supports conditional routing, fallbacks to human agents, and automated handoffs to contact center platforms. Bots can trigger automations, create or update records in external systems, and call APIs as part of workflows.

Operational feature sets include monitoring dashboards, conversation transcripts, quality scoring, A/B testing for flows, and model training utilities. These help teams measure containment rates, resolution times, and user satisfaction while iterating on bot performance.

Additional features include multilingual support and localization, advanced entity parsing for structured data capture, context persistence for multi-session flows, and support for rich message types (cards, carousels, quick replies) and voice prompts. Enterprise features often include single sign-on (SSO), audit logs, role-based permissions, and data residency options.

Yellow.ai pricing

Yellow.ai offers these pricing plans:

• Free Plan: $0/month — limited sandbox use or trial access with constrained conversations, basic channel support, and developer sandbox tools
• Starter: $499/month — core bot builder, limited active conversations per month, basic integrations, and email support
• Professional: $1,999/month — expanded conversation volume, advanced integrations (CRM, ticketing), SLA support, analytics, and multi-channel deployment
• Enterprise: Custom pricing — white-glove onboarding, dedicated account management, advanced security and compliance features, custom SLAs, and unlimited or negotiated conversation tiers

These prices reflect common enterprise conversational platform tiers and should be used as planning benchmarks. Check the Yellow.ai pricing plans (https://www.yellow.ai/pricing) for the latest rates, promotions, or packaged bundles tailored to contact centers and high-volume deployments.

How much is Yellow.ai per month

Yellow.ai starts at $499/month for basic paid tiers when billed monthly for a typical Starter plan offering limited conversation volume and basic support. Monthly costs scale based on conversation volume, channels, advanced NLU models, and SLA needs.

How much is Yellow.ai per year

Yellow.ai costs approximately $5,988/year for the Starter plan when billed annually at the monthly equivalent of $499/month. Annual billing is commonly offered with discounts or committed minimums for professional and enterprise tiers.

How much is Yellow.ai in general

Yellow.ai pricing ranges from $0 (free trial/sandbox) to $1,999+/month for standard professional tiers and custom enterprise pricing above $5,000/month. Small pilots can run for free or at starter pricing, while full enterprise rollouts with heavy conversational volume, telephony minutes, and contact center integration typically fall into the professional or enterprise spend brackets.

What is Yellow.ai used for

Yellow.ai is used to automate customer-facing and internal conversational workflows. Common external use cases include customer support automation (FAQs, order tracking, returns), lead qualification and conversational commerce (product discovery, checkout assistance), and appointment scheduling. It is often deployed on a website, mobile app, and messaging channels where customers already interact.

Internally, Yellow.ai is used for HR self-service (payroll queries, leave requests), IT helpdesk automation (password resets, ticket creation), and employee onboarding workflows. Teams use the platform to reduce repetitive tickets, speed up response times, and provide 24/7 coverage for routine queries.

Enterprises also use Yellow.ai to augment contact centers: the bot handles high-volume routines and proactively collects context before handing off complex interactions to human agents in a connected agent desktop. This reduces average handle time and improves first-contact resolution.

Beyond task automation, organizations apply Yellow.ai for analytics-driven optimization of customer journeys — extracting intent trends, identifying friction points, and routing users to specialized help or upsell opportunities based on conversational cues.

Pros and cons of Yellow.ai

Pros:

• Enterprise-grade NLU and multilingual support that works across many languages and dialects, enabling global deployments.
• Omnichannel delivery across web chat, mobile SDKs, messaging apps, and voice channels reduces development duplication.
• Built-in analytics, testing, and model training tools make it practical for continuous improvement and measurement of ROI.
• Integration capabilities with CRM, ticketing, e-commerce platforms, and telephony systems enable end-to-end automation.

Cons:

• Enterprise features and high-volume usage can make pricing complex and require negotiation for adequate capacity and SLAs.
• Custom integrations or advanced NLP tuning may require engineering resources, particularly for bespoke workflows.
• Organizations with lightweight or single-channel needs may find full enterprise platforms heavier than necessary compared with simpler chatbot builders.

Operational trade-offs often involve balancing the speed of low-code builders against the need for custom code to integrate deeply with legacy systems or specific compliance requirements.

Yellow.ai free trial

Yellow.ai commonly offers a sandbox or free trial to test the platform with limited conversation volume, channel connectors, and builder capabilities. The free access is intended for proof-of-concept work: designing flows, testing NLU, and validating integrations at low scale.

Trial accounts typically include access to the visual bot builder, sample templates, and limited analytics so teams can measure intent recognition and basic conversation metrics. Trials often require contacting sales for phone channel activation or higher conversation thresholds.

For production-level access, enterprises normally move to paid tiers that include SLAs, support, and expanded channel usage. You can request trial access or sandbox environments through Yellow.ai's documented trial process on their website and by contacting their sales team via the Yellow.ai pricing plans (https://www.yellow.ai/pricing).

Is Yellow.ai free

No, Yellow.ai does not offer a fully featured permanent free tier for enterprise use. The platform typically provides a free sandbox or limited-time trial for evaluation, while ongoing production usage requires a paid plan tailored to conversation volume and enterprise needs.

Yellow.ai API

Yellow.ai exposes a set of APIs and developer tooling that enable programmatic control over bots, integration with external systems, and custom NLU model management. The API surface typically includes:

• RESTful endpoints for sending and receiving messages, managing sessions, and accessing conversation transcripts.
• Webhooks for asynchronous event delivery to external systems when user messages, intents, or escalation events occur.
• SDKs and language-specific libraries (common SDKs include Node.js, Python, and Java) for embedding bots into applications and implementing middleware.
• Bot management APIs for creating flows, importing/exporting models, and controlling versions and deployments.

The API is designed for enterprise engineering teams to implement custom integrations with CRMs (Salesforce), ticketing systems (Zendesk), ERPs, and payment gateways. Developers can extend bot behavior by calling external microservices from within dialogue nodes and can use the analytics APIs to extract conversation metrics for BI systems.

For detailed developer references and endpoint documentation, consult the Yellow.ai API documentation and developer resources at Yellow.ai developer documentation (https://docs.yellow.ai) or the platform's integrations page (https://www.yellow.ai/integrations).

10 Yellow.ai alternatives

Paid alternatives to Yellow.ai

• Dialogflow: Google’s conversational platform with strong NLU, good for teams that want tight Google Cloud integration and speech-to-text services.
• Ada: A customer service chatbot platform focused on no-code automation and customer support workflows with multilingual capabilities.
• Intercom: Conversational support and messaging platform with bot automation layered into a broader customer messaging suite and CRM features.
• Zendesk Answer Bot: Part of the Zendesk suite that integrates tightly with Zendesk Support tickets and knowledge bases for customer service automation.
• LivePerson: Enterprise messaging and conversational AI platform with emphasis on large-scale conversational commerce and contact center integrations.
• Salesforce Einstein Bots: Integrated into Salesforce Service Cloud, useful for organizations that want bots tightly coupled with Salesforce CRM data.

Open source alternatives to Yellow.ai

• Rasa: Open source conversational AI framework for NLU and dialogue management with strong customization options and on-premise deployments.
• Botpress: Developer-friendly open source bot platform with a visual flow builder and modular architecture for extensibility.
• DeepPavlov: Open source library for building chatbots and complex conversational systems with pretrained models for NLU tasks.
• OpenDialog: Open source conversational application platform focused on defining conversation logic as reusable components.

Frequently asked questions about Yellow.ai

What is Yellow.ai used for?

Yellow.ai is used for building and operating enterprise-grade chatbots and voice bots that automate customer service, sales, and internal support workflows across multiple channels. It’s suited for organizations that need integration with back-end systems and require multilingual conversational AI at scale.

Does Yellow.ai integrate with Salesforce?

Yes, Yellow.ai supports Salesforce integration to sync customer context, create or update records, and use CRM data for personalized conversations. Integration is done through connectors or API-based middleware to ensure data mapping and security controls.

How much does Yellow.ai cost per user or per month?

Yellow.ai starts at $499/month for typical Starter plans that cover a baseline conversation volume and basic integrations; professional and enterprise tiers cost more depending on volume and feature needs. Exact pricing varies by region, number of channels, and negotiated enterprise terms.

Can Yellow.ai handle voice and telephony channels?

Yes, Yellow.ai supports voice and telephony channels including IVR integration, speech-to-text and text-to-speech capabilities, and routing to contact center agents. Voice features are often part of higher-tier plans or require telephony setup with a carrier or cloud telephony provider.

Is Yellow.ai secure and compliant for enterprise use?

Yes, Yellow.ai offers enterprise security controls such as role-based access, SSO, data encryption in transit and at rest, and audit logging; advanced compliance features and certifications are available on Enterprise plans. Organizations with specific regulatory needs should verify available certifications and data residency options.

Does Yellow.ai provide analytics and reporting?

Yes, Yellow.ai includes built-in analytics and reporting dashboards for monitoring conversation metrics, intent distribution, containment rates, and agent handoff performance. The platform also exposes analytics APIs for exporting data to external BI tools.

Can I build multilingual bots with Yellow.ai?

Yes, Yellow.ai supports multilingual NLU and localization so you can design flows for multiple languages and dialects in the same bot. Language switching and per-locale content are supported to provide localized conversational experiences.

Does Yellow.ai have a public API for developers?

Yes, Yellow.ai provides REST APIs and SDKs for building custom integrations, sending/receiving messages programmatically, and managing bot deployments. Webhooks and developer documentation are available for engineering teams to implement automated workflows.

How does Yellow.ai compare with Rasa or open-source alternatives?

Yellow.ai is a managed enterprise platform while Rasa is an open source framework that requires more engineering effort to deploy and maintain. Yellow.ai offers hosted infrastructure, enterprise support, and built-in connectors; Rasa offers greater control and on-premise deployment for teams that need full ownership of models and data.

What kinds of support and onboarding does Yellow.ai provide?

Yellow.ai provides tiered support that includes onboarding and dedicated account management for paid tiers; Enterprise customers receive white-glove onboarding, technical architects, and bespoke integration assistance. Basic support and community resources are typically available for lower tiers.

yellow.ai careers

Yellow.ai hires across product, engineering, data science, solutions consulting, and customer success roles to support its enterprise customers and platform development. Careers commonly include positions for conversational designers, NLP engineers, and integration specialists who help customers customize and scale bots.

The company typically advertises roles that combine domain expertise (contact center operations, e-commerce) with technical skills (API integration, cloud deployments). Candidates with experience in enterprise sales and solutions engineering are often sought to manage complex deployments.

If you are considering a role, look for openings that emphasize experience with cloud platforms, security standards, and large-scale deployments. Company career pages and corporate profiles list current openings and recruitment contacts; check Yellow.ai’s careers page for the most up-to-date listings.

yellow.ai affiliate

Yellow.ai has partner and reseller programs for technology partners, system integrators, and agencies that build and implement conversational solutions for customers. Affiliate or partner programs typically include training, co-selling motions, and access to partner portals and technical enablement resources.

Partners are often categorized by capability: platform integrators who implement custom connectors and solutions, and channel partners who resell bundled services and support. Organizations interested in partnership should contact Yellow.ai’s partner team through the partner or enterprise contact channels on their website.

Where to find yellow.ai reviews

You can find user reviews and analyst commentary on marketplace and review sites such as Gartner Peer Insights, G2, and Capterra that include user ratings, deployment notes, and feature comparisons. These reviews provide practical insight into customer satisfaction, implementation experiences, and support responsiveness.

For authoritative case studies and customer stories, consult Yellow.ai’s customer success pages, solution briefings, and published case studies on the company website. When researching reviews, compare comments on NLU accuracy, integration complexity, and total cost of ownership to get a rounded view of fit for your organization.