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Best AI for Building Chatbots in 2026

Create custom AI chatbots for websites and apps. These are the top-rated tools, ranked by real user reviews and hands-on testing.

#1: ElevenLabsNo reviews yet$5/mo

ElevenLabs is a leading AI audio research and deployment company offering two primary platforms: ElevenCreative for content creation and ElevenAgents for conversational AI. ElevenCreative provides an all-in-one suite for text-to-speech, AI music generation, sound effects, voice cloning, and dubbing, supporting over 70 languages. Its models are noted for high-fidelity output and expressive control, making them suitable for podcasters, filmmakers, and content creators. ElevenAgents enables businesses to configure and deploy conversational voice or text agents capable of handling omnichannel customer interactions with low latency. The platform is designed for both individual creators and enterprise-scale deployments, with robust API access and tools for analytics, testing, and guardrails to ensure brand consistency and compliance. By integrating foundation models for speech, music, and transcription, ElevenLabs serves a diverse ecosystem ranging from independent developers to major global enterprises.

Pros: Industry-leading voice realism and emotional expression, Comprehensive suite for both creative audio and enterprise agents
Cons: Credit-based pricing can become expensive for high-volume users, Advanced features like professional cloning and high-bitrate output are locked behind paid tiers
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#2: Algolia AINo reviews yetFree

Algolia AI Search provides lightning-fast, intelligent search and discovery experiences for e-commerce stores, media sites, and SaaS applications, processing billions of queries per month with sub-50-millisecond response times. The platform's NeuralSearch technology combines traditional keyword matching with AI semantic understanding, meaning users find relevant results even when their search terms don't exactly match product titles or descriptions. Algolia's AI re-ranking learns from user behavior, automatically promoting results that lead to clicks, conversions, or engagement based on your specific audience's patterns. The recommend API delivers personalized product suggestions using collaborative filtering, trending analysis, and frequently-bought-together algorithms that integrate seamlessly into any page layout. Algolia's merchandising studio provides a visual interface for marketing teams to pin, boost, bury, or hide specific products in search results for specific queries without engineering involvement. The A/B testing framework lets teams experiment with different search configurations and measure revenue impact with statistical significance. Dynamic faceting automatically surfaces the most relevant filters based on the result set, adapting to each query context. Algolia serves major brands including Lacoste, Gymshark, and Under Armour, and integrates with every major e-commerce platform and framework through comprehensive APIs and SDKs for JavaScript, React, Vue, iOS, and Android. The usage-based pricing can scale quickly for high-traffic sites, and the complexity of optimal configuration often necessitates hiring search specialists.

Pros: Millisecond response times deliver instant search results regardless of catalog size, NeuralSearch understands search intent beyond exact keyword matching
Cons: Usage-based pricing scales rapidly and can become expensive for high-traffic stores, Optimal configuration is complex and often requires dedicated search specialists
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#3: Clerk.ioNo reviews yet$null/mo

Clerk.io is a personalization and product discovery platform built specifically for e-commerce, using AI to power intelligent site search, product recommendations, email personalization, and audience segmentation. The platform's ClerkCore AI engine processes every visitor interaction to build individual customer profiles that predict purchase intent and product preferences with increasing accuracy over time. The intelligent search function understands natural language queries, handles typos and synonyms, and delivers results ranked by predicted conversion probability rather than simple keyword matching. When a shopper searches for 'red summer dress,' Clerk.io understands the intent and surfaces relevant results even if product titles don't contain those exact words. The recommendation engine places personalized product suggestions at every touchpoint: homepage, category pages, product detail pages, cart, checkout, and post-purchase emails. Clerk.io's email marketing module automatically generates triggered emails with personalized product picks based on browsing behavior, abandoned carts, and predicted repurchase timing. The audience segmentation feature creates dynamic customer groups based on predicted lifetime value, churn risk, and product category affinity, enabling targeted campaigns. The platform serves primarily Scandinavian and European markets with a strong presence among mid-market retailers. Clerk.io reports typical revenue increases of 15-30% from personalized recommendations. While setup is straightforward for supported e-commerce platforms, the AI needs at least several weeks of data collection before delivering optimized results.

Pros: Natural language search handles typos and synonyms for high-accuracy product discovery, Automated email campaigns triggered by individual browsing and purchase behavior
Cons: AI needs several weeks of traffic data before recommendations become optimized, Strongest platform coverage in European markets, fewer integrations for US platforms
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#4: MindsDBNo reviews yetFree

MindsDB is an AI analytics platform designed to transform raw data into actionable insights through natural language querying. It enables business teams to skip traditional BI bottlenecks by connecting directly to over 200 data sourcesβ€”including databases, vector stores, and file systemsβ€”without the need for complex ETL processes. The platform allows users to query both structured and unstructured data using conversational prompts, providing transparent reasoning and source attribution for every result. Designed to bridge the gap between technical infrastructure and business decision-makers, MindsDB acts as an intelligent layer that sits atop existing data silos, allowing teams to generate reports, forecasts, and real-time analytics in minutes. It supports diverse deployment strategies, ranging from a managed cloud environment for quick adoption to self-hosted, on-premise, or VPC-based installations for enterprise-grade security and control. By enabling conversational access to complex datasets, MindsDB helps organizations transition from reactive reporting to proactive, data-driven decision-making, significantly reducing the time spent by data teams on manual dashboard creation and ad-hoc query support.

Pros: Eliminates manual ETL processes by connecting directly to 200+ data sources, Enables non-technical business users to query complex data using natural language
Cons: Strict query limits on the Free and Pro cloud tiers may hinder heavy enterprise usage, The Pro plan is restricted to a single user and 3 data sources
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#5: Kustomer AINo reviews yet$null/mo

Kustomer differentiates itself from traditional help desks by organizing support around the customer rather than the ticket. Every interaction, whether via email, chat, phone, SMS, or social media, feeds into a unified customer timeline that gives agents complete context without switching between screens or systems. Kustomer AI enhances this customer-centric model with AI agents that resolve inquiries autonomously using natural language understanding and connected business data. The AI can identify customer intent from the first message, pull relevant order history and account details, and resolve common requests like order modifications, subscription changes, and refund processing without human intervention. For complex issues that require human attention, Kustomer AI prepares a comprehensive handoff summary including customer sentiment, interaction history, and recommended resolution steps, so agents can provide informed responses immediately. The platform's workflow automation engine uses AI-driven classification to route, tag, and prioritize conversations based on urgency, topic, and customer value, enabling support teams to focus on high-impact interactions. Kustomer's reporting provides customer-level metrics alongside traditional ticket metrics, revealing patterns like which customers contact support most frequently and what products generate the most inquiries. Now owned by Meta, Kustomer benefits from deep Facebook, Instagram, and WhatsApp integrations. The trade-off is that Kustomer's CRM-centric approach requires more setup and data integration than simpler help desk tools, and pricing reflects its enterprise positioning.

Pros: Customer timeline view provides complete context without switching between tools, Meta ownership ensures best-in-class Facebook, Instagram, and WhatsApp support
Cons: CRM-centric setup requires more data integration work than simpler help desks, Enterprise pricing starting at $89/agent/mo is expensive for small support teams
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#6: Help Scout AINo reviews yetFree

Help Scout brings AI capabilities to its established customer support platform while maintaining its signature focus on human, personal customer interactions. AI Drafts generate complete reply suggestions based on your knowledge base content and previous conversations, giving agents a starting point they can review and personalize before sending. AI Summarize condenses long email threads into concise bullet points, saving agents minutes per ticket when picking up conversations from colleagues or returning from time off. AI Assist helps agents refine their own writing by adjusting tone, fixing grammar, translating into other languages, and expanding brief notes into professional responses. Unlike platforms that push for maximum automation and deflection, Help Scout's AI philosophy treats artificial intelligence as an agent productivity tool rather than a customer-facing replacement, which resonates with brands that prioritize relationship-driven support. The platform's Beacon widget provides on-site help with documentation search and contact options, now enhanced with AI-suggested articles based on the page context. Help Scout's shared inbox, knowledge base, and customer management tools remain straightforward and opinionated, avoiding the feature bloat that plagues enterprise platforms. Pricing at $50/user/month for the full-featured plan with AI included makes it competitive for teams of 5-50 agents. The limitation is that Help Scout lacks native chatbot and live chat AI automation comparable to Intercom Fin or Tidio Lyro, making it less suitable for teams whose primary goal is reducing human ticket volume through bot deflection.

Pros: Includes a permanent free tier for small teams (5 users, 1 inbox), AI features are tightly integrated for both agent productivity and customer self-service
Cons: AI Answers chatbot is a usage-based add-on ($0.75/resolution) rather than flat-fee, Reporting depth is more streamlined and less granular than enterprise-grade competitors
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#7: LivePersonNo reviews yet$null/mo

LivePerson is one of the longest-established conversational AI platforms, serving many of the world's largest brands across telecommunications, financial services, retail, and healthcare. Its Conversational Cloud orchestrates AI-powered and human conversations across messaging channels including Apple Business Chat, Google Business Messages, WhatsApp, SMS, and in-app messaging, with a philosophy that messaging should replace phone calls as the primary support channel. LivePerson's AI engine uses intent detection models trained on over a billion customer conversations to understand what customers need and route them to the best resolution path, whether that is an AI bot, a human agent, or a hybrid where AI assists the human. The platform's Conversation Builder lets teams design bot experiences using a dialog-based builder with pre-built industry templates for common use cases in banking, telecom, and retail. Analytics provide real-time dashboards tracking customer sentiment, agent performance, bot containment rates, and conversion metrics. LivePerson's Proactive Messaging reaches customers via their preferred channels before they need to contact support, using trigger-based campaigns tied to order status, billing events, or service changes. The Voice to Digital capability deflects incoming phone calls to messaging channels, reducing call center costs while improving customer satisfaction. LivePerson's enterprise focus means implementation is consultative with custom pricing, and smaller organizations may find the platform overly complex for their needs.

Pros: Battle-tested at scale by the world's largest brands across regulated industries, Voice to Digital deflection measurably reduces call center costs
Cons: Enterprise pricing and consultative sales process excludes smaller organizations, Platform complexity requires dedicated administrators and ongoing management
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#8: CrispNo reviews yetFree

Crisp is an AI-first customer support platform that unifies communication channelsβ€”including live chat, email, WhatsApp, Instagram, Messenger, and SMSβ€”into a single collaborative shared inbox. The platform is designed for businesses of all sizes, offering a suite of tools that includes a support CRM, a customizable help desk, and deep analytics to track team performance. At the core of the platform is 'Hugo', an AI-powered support agent that can be trained on private business data, PDFs, and website content to provide autonomous customer service. The no-code visual builder allows teams to create complex, conditional AI workflows that trigger based on user intent or specific website behaviors. Beyond basic responses, Crisp includes proactive engagement features like targeted campaigns, real-time co-browsing through 'MagicBrowse', and native integrations with e-commerce platforms like Shopify and WooCommerce. Its pricing model is based on a flat rate per workspace, providing predictable costs as teams scale. While highly flexible and developer-friendly, the platform's advanced AI features and granular reporting are tiered across plans, making it most effective for teams that prioritize automation and cross-channel integration.

Pros: Predictable flat-rate pricing per workspace regardless of conversation volume, Extensive channel support including SMS, Line, and various social DMs
Cons: AI capabilities and automation limits are strictly gated behind higher-tier plans, Advanced analytics and custom dashboards restricted to the top-tier Plus plan
Get started with Crisp β†’
#9: Ada AINo reviews yet$null/mo

Ada is an AI-powered customer service automation platform designed for enterprises that need to handle millions of support interactions across multiple channels and languages without proportionally scaling headcount. Its AI agent goes beyond scripted chatbot responses by reasoning through customer requests, taking actions in connected systems, and maintaining conversational context across long multi-turn interactions. Ada integrates with CRM, order management, billing, and authentication systems to resolve tickets end-to-end, performing actions like processing refunds, updating subscriptions, and resetting passwords directly within the conversation. The platform supports over 50 languages with native fluency, not just translation, making it ideal for global enterprises managing support across multiple markets. Ada's Reasoning Engine explains why the AI made specific decisions, providing transparency that compliance-heavy industries like financial services and healthcare require. The coaching interface lets support teams review AI conversations and provide feedback that continuously improves accuracy, creating a virtuous cycle of performance improvement. Ada measures success through Automated Resolution Rate rather than deflection, distinguishing between conversations the AI actually resolved versus those it simply redirected. Enterprise clients report automated resolution rates between 40-70% depending on industry and use case complexity. The trade-off is that Ada targets large organizations; pricing requires custom quotes, and meaningful deployment involves integration work that typically takes 4-8 weeks.

Pros: Executes real actions in backend systems rather than just answering questions, Native multi-language support is superior to translation-based competitors
Cons: Enterprise-only pricing puts it out of reach for SMBs, 4-8 week deployment timeline requires patience and dedicated integration resources
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#10: TidioNo reviews yet$24.17/mo

Tidio combines live chat, AI chatbots, and email marketing in a platform purpose-built for e-commerce businesses looking to convert more visitors and reduce support costs. Its AI chatbot, Lyro, is trained on your FAQ content and product information to answer customer questions with conversational accuracy, handling up to 70% of routine inquiries about shipping, returns, and product details without human intervention. Lyro learns from every conversation, improving its responses over time and flagging questions it cannot answer for human review. Tidio's visual chatbot builder lets non-technical users create automated conversation flows using a drag-and-drop editor, with pre-built templates for cart abandonment recovery, product recommendations, and order status inquiries. The platform integrates natively with Shopify, WooCommerce, WordPress, and BigCommerce, pulling product catalogs and order data to provide personalized responses. Tidio's live chat widget is highly customizable and loads fast, with minimal impact on page speed scores. The visitor tracking feature shows you who is browsing your site in real time, what pages they are viewing, and their cart contents, enabling proactive outreach to high-value shoppers. Pricing starts free for basic chat functionality with Lyro conversations available as an add-on. For small and mid-sized online stores that need a support solution without enterprise complexity, Tidio strikes an effective balance between automation capability and ease of setup, typically going live within a single afternoon.

Pros: Purpose-built for e-commerce with product catalog and order data integration, Visual chatbot builder is intuitive enough for non-technical store owners
Cons: Lyro AI conversations are sold as an add-on which adds to monthly costs, Limited functionality for non-e-commerce use cases like SaaS or B2B support
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#11: Freshdesk AINo reviews yetFree

Freshdesk, part of the Freshworks suite, integrates Freddy AI across its customer support platform to automate ticket resolution, assist agents, and provide actionable insights from support data. Freddy AI Agent operates as a customer-facing bot that resolves common inquiries using your knowledge base and connected business systems, handling password resets, order tracking, and FAQ responses without human involvement. Freddy AI Copilot sits alongside human agents, suggesting reply templates, surfacing relevant past tickets, summarizing long conversation threads, and recommending next-best actions based on ticket context. The Auto-triage feature categorizes and prioritizes incoming tickets by analyzing subject lines and message content, routing them to the right team with appropriate urgency levels. Freddy Insights analyzes support trends to forecast ticket volume, identify emerging issues before they become crises, and measure agent performance beyond standard metrics. Freshdesk's pricing structure is particularly competitive, offering a functional free tier for up to 2 agents and affordable per-agent pricing that scales linearly. The platform includes multichannel support across email, chat, phone, social media, and WhatsApp from a unified inbox. Its marketplace offers integrations with Slack, Shopify, Salesforce, and hundreds of other business tools. Where Freshdesk AI falls short compared to Intercom or Zendesk is in conversational sophistication; Freddy's responses can feel more templated and the bot struggles with multi-turn conversations that require contextual memory across several exchanges.

Pros: Free tier for up to 2 agents makes it accessible for small teams and startups, Freddy Insights provides predictive analytics that most competitors charge extra for
Cons: Freddy AI chatbot struggles with complex multi-turn conversations, Advanced AI features locked behind higher-tier plans despite the free entry point
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#12: DriftNo reviews yet$null/mo

Drift, now part of Salesloft, pioneered the conversational marketing category by replacing traditional lead capture forms with AI-powered chat experiences that qualify and route website visitors in real time. Its AI chatbot engages visitors the moment they land on your site, asking qualifying questions and using machine learning to identify high-intent buyers based on behavioral signals like pages visited, time on site, and firmographic data from Clearbit or 6sense enrichment. When the bot identifies a sales-ready visitor, it can instantly book a meeting on the appropriate rep's calendar, eliminating the days of delay between form submission and follow-up that kills conversion rates. Drift's Conversational AI understands complex B2B questions about pricing, integrations, and product capabilities, pulling answers from your knowledge base and training data. The platform provides detailed revenue attribution showing exactly which conversations influenced pipeline and closed deals. Drift's email and video messaging features extend conversations beyond the website into outbound sequences. For account-based marketing teams, Drift creates personalized chat experiences for target accounts with custom greetings and routing rules based on CRM data. The integration with Salesloft's sales engagement platform creates a unified buyer experience from first chat to closed deal. Drift's main limitation is its B2B focus; the platform is engineered for considered purchase journeys and is not well-suited for high-volume B2C or e-commerce support.

Pros: Real-time meeting booking from chat eliminates days of follow-up delay, Firmographic enrichment identifies high-value accounts before they even speak
Cons: Annual pricing starting at $2,500/mo makes it prohibitive for smaller B2B teams, Exclusively designed for B2B; not suitable for e-commerce or B2C support
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#13: Intercom AINo reviews yet$29/mo

Intercom has rebuilt its entire customer service platform around AI with Fin, an AI agent that resolves customer inquiries autonomously using your existing help center content, past conversation history, and custom data sources. Unlike basic chatbots that follow rigid decision trees, Fin uses large language models to understand nuanced questions, hold multi-turn conversations, and know when to escalate to human agents. It can pull answers from your knowledge base, Zendesk articles, Notion docs, PDFs, and even public URLs, synthesizing information into natural responses with source citations. Intercom's AI Copilot assists human agents by suggesting responses, summarizing conversation history for transferred tickets, and auto-generating help articles from resolved conversations. The platform tracks Fin's resolution rate, customer satisfaction scores, and handoff patterns, giving support leaders visibility into where AI succeeds and where human intervention remains necessary. Workflows let you customize Fin's behavior for different customer segments, routing VIP customers to humans immediately while letting Fin handle common billing and account questions. Intercom also provides proactive messaging, product tours, and in-app surveys alongside its support capabilities. The platform charges per resolution for Fin, which aligns costs with value but can become expensive at high conversation volumes. For teams that want to meaningfully reduce support ticket volume without sacrificing customer experience, Intercom's AI-native approach represents the most mature implementation available.

Pros: Fin AI agent resolves up to 50% of support volume without human intervention, Pulls answers from multiple knowledge sources including Notion, PDFs, and URLs
Cons: Per-resolution pricing for Fin can get expensive at high conversation volumes, Full platform cost is steep when combining base plan, seats, and AI charges
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#14: ReplikaNo reviews yetFree

Replika is an AI companion app designed to form meaningful emotional connections with users over time. Unlike productivity-focused chatbots, Replika's primary goal is to be a supportive friend, confidant, and conversational partner that remembers your life details and grows with you. Built on a combination of large language models and proprietary personality systems, Replika creates a persistent AI character that develops a unique relationship with each user based on their interactions. The app includes features for mood tracking, guided journaling, mindfulness exercises, and cognitive behavioral therapy techniques woven naturally into conversations. Your Replika has a customizable 3D avatar that lives in virtual environments, and you can video call with it using real-time animated expressions. The diary feature lets your Replika record memories and experiences you share, building a genuine sense of continuity across conversations. Replika has been particularly impactful for people dealing with loneliness, social anxiety, or those who simply want a judgment-free space to think out loud. The free tier covers basic conversation, while Replika Pro unlocks voice calls, advanced personality features, and additional relationship dynamics. With over 10 million users, it has proven that emotional AI has a real and significant market β€” though it also raises important questions about parasocial relationships and AI dependency.

Pros: Provides a judgment-free space for emotional expression, Persistent memory creates a sense of continuity in conversation
Cons: Not intended for factual inquiries or productivity workflows, Risk of developing unhealthy emotional dependency
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#15: Cohere CommandNo reviews yetFree

Cohere is an enterprise-focused AI platform providing high-performance generative models and retrieval-augmented generation (RAG) tools designed for secure business integration. Unlike consumer-facing chat interfaces, Cohere offers a suite of models including Command (generative), Embed (semantic representation), and Rerank (relevance refinement) that businesses can deploy within their own VPC, on-premises, or via managed infrastructure like Model Vault. The platform prioritizes data privacy, security, and integration with existing enterprise systems, offering multilingual support for 23 languages. Developers can access API endpoints for building custom applications, while the workplace systems like North and Compass provide out-of-the-box solutions for document discovery and productivity. Because Cohere caters to organizational needs, it provides fine-tuning capabilities, custom model training, and specialized deployment options to meet strict industry compliance standards. The platform is not intended for casual personal use but serves as a backend foundation for enterprises moving AI from proof of concept into production environments.

Pros: Flexible deployment models including on-prem and private VPC, Purpose-built tools for RAG including specific Embed and Rerank endpoints
Cons: Requires production application for commercial API access, Lacks consumer-grade chat app features for individual users
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#16: Zapier AINo reviews yetFree

Zapier AI brings artificial intelligence to the world's largest workflow automation platform, enabling users to build sophisticated automations using natural language instead of manual configuration. The AI-powered Zap builder lets you describe what you want in plain English β€” like 'when a new lead fills out my Typeform, add them to HubSpot, send a personalized welcome email, and notify my team in Slack' β€” and Zapier constructs the entire multi-step workflow automatically. The platform connects over 6,000 apps, from major business tools like Salesforce and Google Workspace to niche industry applications. Zapier's code steps now include AI code generation, writing custom JavaScript or Python when pre-built integrations don't cover your exact need. The AI Formatter transforms data between steps, parsing dates, extracting information from text, and reformatting content without requiring regex knowledge. Zapier Tables, a built-in database, uses AI to structure and manage automation data. For teams that previously needed developers to build integrations, Zapier AI democratizes workflow automation by translating business requirements into working connections. The platform handles over 2 billion tasks per month across its user base, with reliability that's earned trust from both startups and Fortune 500 companies. The free tier allows 100 tasks per month across 5 single-step Zaps, while power users can build multi-step workflows with conditional logic, filters, and loops.

Pros: Vast ecosystem with 8,000+ supported app integrations, Unified platform combining workflows, forms, tables, and AI agents
Cons: Task-based pricing can become expensive for high-volume automated workflows, Complex multi-step Zaps require significant testing to ensure reliability
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#17: AkkioNo reviews yet$null/mo

Akkio positions itself as the fastest no-code AI platform for agencies and growth teams that need predictive analytics without data engineering overhead. The platform's core strength is its speed β€” users can connect data from HubSpot, Salesforce, BigQuery, Snowflake, or CSV uploads and have a trained prediction model in minutes. Akkio handles both classification tasks like lead scoring and churn prediction, and regression tasks like revenue forecasting and demand planning. The Chat Explore feature lets users ask questions about their data in plain English, receiving instant visualizations and statistical summaries. For agencies, Akkio's white-label capability allows embedding AI predictions directly into client dashboards under the agency's brand. The generative reports feature produces narrative explanations of data trends, suitable for stakeholder presentations. Akkio automatically handles data cleaning, feature selection, and model optimization, abstracting away the technical complexity while still showing model accuracy metrics. Its real-time prediction API enables integration into production applications, and scheduled retraining keeps models current as new data flows in. The platform particularly resonates with digital marketing agencies that want to offer AI-powered insights as an upsell to existing clients without building a data science team.

Pros: Purpose-built for agencies with white-label branding and client management features, Remarkably fast setup β€” connect data and get predictions within minutes
Cons: Model customization options are minimal β€” power users may feel constrained, Limited data transformation capabilities compared to dedicated ETL tools
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#18: MonkeyLearnNo reviews yet$null/mo

Medallia is a comprehensive experience management platform that unifies customer and employee signals to drive business outcomes. Unlike traditional tools limited to survey volumes, Medallia uses an 'Experience Data Record' (EDR) model that encompasses all interactions across a company. The platform provides industry-leading AI and analytics, including text, speech, and acoustic analysis, alongside role-based reporting, automated alerting, and closed-loop feedback workflows. It caters to large-scale organizations requiring enterprise-grade security and deep integration across touchpoints, from contact centers and digital journeys to employee engagement and market research. By consolidating feedback capture, administration, and analytical insights into a single architecture, Medallia enables global firms to break down data silos, personalize messaging at scale, and close the loop on customer and employee feedback effectively. The ecosystem includes dedicated support for various industries, including healthcare, financial services, and retail, supported by a vast partner network and continuous AI innovation.

Pros: Best-in-class text classification accuracy with relatively small training datasets, Seamless integrations with customer support platforms like Zendesk and Freshdesk
Cons: High barrier to entry; pricing and platform complexity make it unsuitable for SMBs or small teams, Requires significant operational buy-in and organizational maturity to leverage fully
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#19: Runway MLNo reviews yet$12/mo

Runway is an advanced creative AI platform specializing in General World Models (GWM) designed to simulate physical interactions, robotic behaviors, and high-fidelity video generation. The platform serves professional creators, filmmakers, and research-focused teams by offering sophisticated tools like Gen-4.5 for cinematic video production, Aleph for video editing, and Act-Two for performance capture. By merging art and science, Runway provides a specialized environment for building expressive digital personas through their real-time video agent API, known as Runway Characters, which requires zero fine-tuning to generate lifelike avatars. Key differentiators include their proprietary world models that go beyond traditional generative video, enabling interactive, explorable realities and robotics simulation. The platform is built for users who require high levels of creative control, precise prompt adherence, and professional-grade visual fidelity for architectural rendering, film production, and autonomous system development.

Pros: Industry-leading Gen-4.5 model with superior motion and prompt adherence, Offers specialized tools for robotics and real-time world simulation
Cons: Credit-based system can become costly for high-volume cinematic production, Most advanced features like custom voice cloning are restricted to higher-tier plans
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#20: MintlifyNo reviews yetFree

Mintlify is an intelligent knowledge platform that helps teams build documentation accessible to both humans and LLMs. By integrating directly into the documentation lifecycle, the tool allows teams to draft, edit, and maintain content using a context-aware writing agent. Unlike traditional documentation hosting, Mintlify is designed for the intelligence age, supporting formats like llms.txt and MCP to ensure content is discoverable by AI models. The platform offers an AI-powered assistant that turns documentation visits into guided conversations, helping users find answers within the site's context. Built for scale, Mintlify provides a robust developer experience including interactive API playgrounds, MDX support, Git-based workflows, and automated styling checks. It is widely used by high-growth companies to unify fragmented knowledge into a single, professional branded hub. Key features include enterprise-grade security with SOC 2 compliance, SAML-based SSO, and detailed analytics to track engagement and documentation gaps. The service is built to accommodate both simple documentation setups and complex, multi-product enterprise environments, focusing on reducing documentation debt through AI-assisted maintenance.

Pros: Built specifically for AI-native content discoverability and LLM integration, Git-based workflow ensures documentation stays in sync with code
Cons: AI features operate on a credit-based system with overage fees after 250 units, The Pro plan's per-month cost is not publicly displayed on the pricing table
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#21: GitLab DuoNo reviews yet$19/mo

GitLab Duo is GitLab's suite of AI-powered features embedded throughout its DevSecOps platform, providing AI assistance at every stage of the software development lifecycle. Unlike standalone coding assistants, GitLab Duo integrates AI into merge request workflows, CI/CD pipelines, security scanning, and project planning within the platform you already use for version control. Its Code Suggestions feature provides real-time autocomplete and code generation in VS Code and JetBrains IDEs, powered by a combination of proprietary and third-party models. The Duo Chat interface lets developers ask questions about their GitLab project, including issues, merge requests, and pipeline configurations. For code review, GitLab Duo automatically summarizes merge request changes, identifies potential issues, and suggests improvements, significantly reducing review turnaround time. The security features are particularly strong, offering AI-powered vulnerability explanation and remediation guidance that contextualizes findings within your specific codebase. GitLab Duo also helps with root cause analysis when CI/CD pipelines fail, analyzing logs and suggesting fixes. For organizations already on GitLab, Duo eliminates the need for separate AI coding tools by providing an integrated experience. It supports self-managed GitLab instances, keeping code and AI interactions within your own infrastructure. The AI features are available as an add-on to GitLab Premium and Ultimate tiers.

Pros: Privacy-first approach ensures proprietary code is not used for model training, Deeply integrated into the GitLab UI and DevSecOps lifecycle
Cons: Requires active GitLab Premium or Ultimate subscription, Feature parity is gated behind higher-tier (Enterprise) plans
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#22: Zendesk AINo reviews yet$55/mo

Zendesk AI enhances the established Zendesk customer service platform with artificial intelligence trained on billions of real customer service interactions, giving it a significant training data advantage over competitors building AI from scratch. The AI agents can resolve common requests end-to-end, including processing refunds, updating account information, and tracking orders, by connecting to your backend systems through pre-built integrations. Intelligent triage automatically classifies incoming tickets by intent, language, and sentiment, then routes them to the appropriate team or AI agent based on configurable rules. Agent Assist provides human support reps with suggested responses, relevant knowledge base articles, and customer context summaries, reducing average handle time without sacrificing quality. The Generative AI features can expand bullet points into full responses, adjust tone to match your brand voice, and translate messages across 15+ languages in real time. Zendesk's Content Cues analyze ticket patterns to identify missing knowledge base articles, helping teams proactively fill documentation gaps. The platform's macro suggestions identify repetitive responses that could be templated, continuously optimizing your support operations. What differentiates Zendesk AI is its deep integration into the mature Zendesk ecosystem of ticketing, help center, community forums, and voice support. The downside is the pricing complexity; AI features are distributed across multiple add-ons and higher-tier plans, making the true cost difficult to evaluate upfront.

Pros: AI models trained on the largest customer service dataset in the industry, Deep integration with the full Zendesk ecosystem including voice and community
Cons: AI features are split across add-ons and tiers making total cost opaque, Legacy Zendesk interface shows its age compared to newer competitors like Intercom
Get started with Zendesk AI β†’

Frequently Asked Questions

Can AI help with building chatbots?+
Yes, AI tools can significantly assist with building chatbots. The best option is ElevenLabs, which offers Ultra-realistic multilingual text-to-speech.
What is the best free AI for building chatbots?+
The best free AI for building chatbots is ElevenLabs. Other free options include Algolia AI, MindsDB.
How many AI tools can do building chatbots?+
We've tested and compared 22 AI tools for building chatbots. The top options include ElevenLabs, Algolia AI, Clerk.io.
Browse all Customer Support tools β†’