LiveChat vs Pyx

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare LiveChat and Pyx across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between LiveChat and Pyx, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

  • Choose LiveChat if: you value mature 20+ year platform with proven enterprise reliability (adobe, paypal, ikea, samsung, best buy)
  • Choose Pyx if: you value very quick setup (30-60 minutes)

About LiveChat

LiveChat Landing Page Screenshot

LiveChat is enterprise live chat platform with ai-augmented customer support workflows. Mature 20+ year live chat platform owned by publicly-traded Text S.A. (WSE: TXT, $88.9M annual revenue) serving 37,000+ businesses including Adobe, PayPal, IKEA. NOT a RAG-as-a-Service platform—operates as human-agent live chat with AI augmentation features. Proprietary AI engine (not LLM model selection), limited knowledge sources (PDFs/websites only), no vector database controls, no anti-hallucination mechanisms. Strong for traditional customer support workflows. $20-$59/agent/month + $52/month ChatBot addon. Founded in 2002, headquartered in Wroclaw, Poland, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
86/100
Starting Price
$20/mo

About Pyx

Pyx Landing Page Screenshot

Pyx is find. don't search.. Pyx AI is an enterprise conversational search tool that leverages Retrieval-Augmented Generation (RAG) to deliver real-time answers from company data. It continuously synchronizes with data sources and enables natural language queries across unstructured documents without keywords or pre-sorting. Founded in 2022, headquartered in Europe, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
83/100
Starting Price
$30/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Customer Support versus AI Search. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

logo of livechat
LiveChat
logo of pyx
Pyx
logo of customGPT logo
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Supported formats – PDFs and website crawling only (max 2,000 pages)
  • Plan limits – Team: 10 files/3 sites, Business: 30 files/10 sites
  • ⚠️ NO DOCX, TXT, CSV, Excel – No audio, video, code files (vs 1,400+ formats)
  • ⚠️ NO cloud storage sync – No Google Drive, Dropbox, OneDrive, Notion, Confluence
  • ✅ Auto-Indexing – Points at files, indexes unstructured data automatically without manual setup
  • ✅ Auto-Sync – Connected repositories sync automatically, document changes reflected almost instantly
  • File Formats – Supports PDF, DOCX, PPT, TXT and common enterprise formats
  • ⚠️ Limited Scope – No website crawling or YouTube ingestion, narrower than CustomGPT
  • Enterprise Scale – Handles large corporate data sets, exact limits not published
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Messaging platforms – Website, Facebook, WhatsApp, Apple Messages, Telegram, SMS, email
  • 200+ marketplace integrations – Zapier (5,000+ apps), HubSpot, Salesforce, Zendesk, Intercom
  • E-commerce platforms – Shopify, WooCommerce, BigCommerce native plugins
  • Custom integrations – Webhooks with JSON payloads, 10s response timeout
  • ⚠️ Standalone Only – Own chat/search interface, not a "deploy everywhere" platform
  • ⚠️ No External Channels – No Slack bot, Zapier connector, or public API
  • Web/Desktop UI – Users interact through Pyx's interface, minimal third-party chat synergy
  • Custom Integration – Deeper integrations require custom dev work or future updates
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
200+ Integration Ecosystem ( Core Differentiator)
  • Mature marketplace – 200+ pre-built integrations after 20+ years development
  • Enterprise CRM depth – Deep Salesforce, HubSpot, Zendesk, Intercom integrations
  • E-commerce validated – Official Shopify/WooCommerce/BigCommerce plugins
  • Webhook flexibility – JSON payloads, 10s timeouts for custom workflows (8/10 differentiator)
N/A
N/A
Agent Chat A P I v3.5 ( Differentiator)
  • Dual transport – REST API and WebSocket (RTM) for real-time communication
  • Official SDKs – JavaScript/Node.js, iOS (Swift), Android (Kotlin), Customer SDK
  • OAuth 2.1 PKCE – Modern auth plus Personal Access Tokens
  • ⚠️ Rate limits – 180 requests/min may constrain high-volume apps
  • ⚠️ Chat ops focus – No RAG APIs for semantic search or embedding management
N/A
N/A
Core Agent Features
  • AI Reply Suggestions – Context-based response recommendations from knowledge sources
  • Text Enhancement – Grammar correction and tone polishing before sending
  • AI Insights – Analyzes 1,000+ queries in 30s for trends
  • ⚠️ NO anti-hallucination – No citation attribution or source tracing
  • ⚠️ NO Agent Capabilities – No autonomous agents, tool calling, or multi-agent orchestration
  • Conversational Search Only – Context-aware dialogue for Q&A, not agentic or autonomous behavior
  • Basic RAG Architecture – Standard retrieval without function calling, tool use, or workflows
  • ⚠️ No External Actions – Cannot invoke APIs, execute code, query databases, or interact externally
  • Internal Knowledge Focus – Employee Q&A about documents, not task automation or workflows
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining
Chat Bot Automation ( Separate Product)
  • Visual builder – Drag-and-drop no-code chatbot with NLP
  • Proprietary engine – Internal NLP, doesn't use OpenAI/Bard/Bing
  • ⚠️ Additional cost – $52/month on top of LiveChat subscription
  • ⚠️ NO LLM selection – Proprietary only, no GPT-4/Claude/Gemini access
N/A
N/A
Widget Customization & White- Labeling
  • Live editor – Theme presets, custom hex colors, logo uploads, positioning
  • WCAG 2.1 AA – Accessibility with screen readers, keyboard navigation
  • Mobile responsive – Device-specific settings and hiding options
  • ⚠️ White-label Enterprise only – Requires custom pricing, minimum 5 seats
N/A
N/A
L L M Model Options
  • ⚠️ NO model selection – Proprietary AI engine only
  • ⚠️ NO GPT-4, Claude, Gemini – Cannot choose LLM providers
  • ⚠️ NO BYOLLM – No custom models or fine-tuning
  • ⚠️ Opaque processing – Architecture and training data not documented (3/10 flexibility)
  • ⚠️ Undisclosed Model – Likely GPT-3.5/GPT-4 but exact model not publicly documented
  • ⚠️ No Model Selection – Cannot switch LLMs or configure speed vs accuracy tradeoffs
  • ⚠️ Single Configuration – Every query uses same model, no toggles or fine-tuning
  • Closed Architecture – Model details, context window, capabilities hidden from users intentionally
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • Agent Chat API v3.5 – REST and WebSocket with OAuth 2.1 PKCE
  • Mobile SDKs – iOS (Swift, iOS 15.6+), Android (Kotlin via Gradle)
  • Strong documentation – Postman collections, tutorials, Discord community
  • ⚠️ NO Python SDK – JavaScript/mobile only, limits backend integration
  • ⚠️ No API – No open API or SDKs, everything through Pyx interface
  • ⚠️ No Embedding – Cannot integrate into other apps or call programmatically
  • Closed Ecosystem – No GitHub examples, community plug-ins, or extensibility options
  • Turnkey Only – Great for ready-made tool, limits deep customization or extensions
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
R A G Implementation & Accuracy
  • ⚠️ NOT RAG-as-a-Service – No vector database, embeddings, retrieval pipeline
  • ⚠️ NO chunking/embedding controls – Size, overlap, model selection not exposed
  • ⚠️ NO hybrid search – No keyword + semantic combination
  • ⚠️ NO anti-hallucination – No citations, source verification (2/10 RAG platform)
N/A
N/A
Performance & Accuracy
  • Real-time delivery – Sub-second message delivery, praised for reliability
  • Scalability – 37,000+ businesses, enterprise customers (Adobe, PayPal, IKEA)
  • ⚠️ NO accuracy benchmarks – No published AI retrieval metrics
  • ⚠️ Operational focus – Metrics for queue times, agent response, not AI accuracy
  • Real-Time Answers – Serves accurate responses from internal documents, sparse public benchmarks
  • Auto-Sync Freshness – Connected repositories keep retrieval context always current automatically
  • ⚠️ Limited Transparency – No anti-hallucination metrics or advanced re-ranking details published
  • Competitive RAG – Likely comparable to standard GPT-based systems on relevance control
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Security & Privacy
  • Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • Encryption – TLS transit, AES-256 at rest
  • Data residency – EU (Poland) compliance with account isolation
  • ⚠️ SSO/SAML Enterprise only – Significant gap for mid-market identity management
  • ✅ GDPR Compliance – Germany-based, implicit EU data protection and regional sovereignty
  • ✅ Enterprise Privacy – Data isolated per customer, encrypted in transit and rest
  • ✅ No Model Training – Customer data not used for external LLM training
  • ✅ Role-Based Access – Built-in controls, admins set document visibility per role
  • ⚠️ Limited Certifications – On-prem or SOC 2/ISO 27001/HIPAA not publicly documented
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
Full Compliance Portfolio ( Core Differentiator)
  • Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • FedRAMP unique – Rare federal authorization enables government contracts
  • PCI DSS masking – Built-in payment card protection for financial services
  • HIPAA BAA – Business Associate Agreement for healthcare compliance (9/10 differentiator)
N/A
N/A
Observability & Monitoring
  • Real-time monitoring – Agent status, queue depth, visitor activity dashboards
  • Chat metrics – Volume, missed chats, response times, agent performance, CSAT
  • Staffing predictions – AI scheduling optimization (Business+ plans)
  • ⚠️ NO AI metrics – No retrieval accuracy, semantic search, hallucination monitoring
  • Basic Stats – User activity, query counts, top-referenced documents for admins
  • ⚠️ No Deep Analytics – No conversation analytics dashboards or real-time logging
  • Adoption Tracking – Useful for usage monitoring, lighter insights than full suites
  • Set-and-Forget – Minimal monitoring overhead, contact support for issues
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Pricing & Scalability
  • Starter – $20/agent/month, 60-day history, 1 user
  • Team – $41/agent/month, unlimited history, 10 files/3 sites
  • Business – $59/agent/month, staffing predictions, 30 files/10 sites
  • Enterprise – Custom pricing, min 5 seats, SSO/SAML, white-label, HIPAA
  • ⚠️ Cost escalation – 10 agents + ChatBot = $642/month ($7,704/year)
  • Seat-Based Pricing – ~$30 per user per month, predictable monthly costs
  • ✅ Cost-Effective Small Teams – Affordable for teams under 50 users
  • ⚠️ Large Team Costs – 100 users = $3,000/month, can scale expensively
  • Unlimited Content – Document/token limits not published, gated only by user seats
  • Free Trial + Enterprise – Hands-on trial available, custom pricing for large deployments
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Support & Ecosystem
  • 24/7 support – Live chat and email, consistently praised (4.5/5 G2, 4.6/5 Capterra)
  • Developer docs – Extensive at developers.livechat.com with Postman, tutorials
  • Enterprise SLA – Guaranteed response times on custom contracts
  • Common criticisms – Rising prices, per-agent scaling costs, fragmented ChatBot product
  • ✅ Direct Support – Email, phone, chat with hands-on onboarding approach
  • ⚠️ No Open Community – Closed solution, no plug-ins or user-built extensions
  • Internal Roadmap – Product updates from Pyx only, no community marketplace
  • Quick Setup Focus – Emphasizes minimal admin overhead for internal knowledge search
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Additional Considerations
  • ⚠️ Platform classification – Human-agent live chat with AI, NOT RAG-as-a-Service
  • Primary strength – Customer support workflows with 200+ integrations, seven certifications
  • ⚠️ Knowledge gap – PDFs/websites only, NO DOCX/CSV/Excel/audio/video/code files
  • ⚠️ NO RAG infrastructure – No vector DB, embeddings, chunking, similarity thresholds
  • ✅ No-Fuss Internal Search – Employees use without coding, simple deployment for teams
  • ⚠️ Not Public-Facing – Not ideal for customer chatbots or developer-heavy customization
  • Siloed Environment – Single AI search environment, not broad extensible platform
  • Simpler Scope – Less flexible than CustomGPT, but faster setup for internal use
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
A I Models
  • Proprietary engine – Internal NLP, doesn't rely on OpenAI/Bard/Bing
  • ⚠️ NO LLM selection – Cannot choose GPT-4, Claude, Gemini
  • ⚠️ Opaque architecture – Model training data, capabilities not documented
  • ⚠️ NO BYOLLM – No model routing, fine-tuning, custom models (3/10 flexibility)
  • ⚠️ Undisclosed LLM – Likely GPT-3.5/GPT-4 but model details not publicly documented
  • ⚠️ No Model Selection – Cannot switch LLMs or choose speed vs accuracy configurations
  • ⚠️ Opaque Architecture – Context window size and capabilities not exposed to users
  • Simplicity Focus – Hides technical complexity, users ask questions and get answers
  • ⚠️ No Fine-Tuning – Cannot customize model on domain data for specialized responses
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
  • ⚠️ NOT RAG platform – No vector DB, embedding controls, retrieval pipeline
  • ⚠️ Limited sources – PDFs and websites only (max 2,000 pages, 10-30 files)
  • ⚠️ Human-agent focus – Agent workflows, not autonomous retrieval (2/10 RAG rating)
  • Conversational RAG – Context-aware search over enterprise documents with follow-up support
  • ✅ Auto-Sync – Repositories sync automatically, changes reflected almost instantly
  • Document Formats – PDF, DOCX, PPT, TXT and common enterprise formats supported
  • ⚠️ No Advanced Controls – Chunking, embedding models, similarity thresholds not exposed
  • ⚠️ Limited Transparency – No citation metrics or anti-hallucination details published
  • Closed System – Optimized for internal Q&A, limited visibility into retrieval architecture
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
  • Customer support – Live chat for 37,000+ businesses with AI agent augmentation
  • E-commerce – Shopify/WooCommerce/BigCommerce native integrations
  • Multi-channel – Website, Facebook, WhatsApp, Apple Messages, Telegram, SMS
  • ⚠️ NOT suitable for – Autonomous knowledge retrieval, programmatic document search
  • ✅ Internal Knowledge Search – Employees asking questions about company documents and policies
  • ✅ Team Onboarding – New hires finding information without bothering colleagues
  • ✅ Policy Lookup – HR, compliance, operational procedure retrieval for staff
  • ✅ Small European Teams – GDPR-compliant internal search with EU data residency
  • ⚠️ NOT SUITABLE FOR – Public chatbots, customer support, API integrations, multi-channel deployment
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
  • Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • Data privacy – Customer data never used for training, zero-retention policies
  • Encryption – TLS transit, AES-256 at rest, regional data residency
  • ⚠️ HIPAA/SSO Enterprise only – Min 5 seats ($6,000/year minimum)
  • ✅ GDPR Compliance – Germany-based with implicit EU data protection compliance
  • ✅ German Data Residency – EU storage location for regional data sovereignty requirements
  • ✅ Enterprise Privacy – Customer data isolated, encrypted in transit and at rest
  • ✅ Role-Based Access – Built-in controls, admins set document visibility per user
  • ⚠️ Limited Certifications – SOC 2, ISO 27001, HIPAA not publicly documented
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
  • Starter – $20/agent/month, 60-day history, 1 user
  • Team – $41/agent/month, unlimited history, 400 users, AI features
  • Business – $59/agent/month, staffing predictions, full AI features
  • Enterprise – Custom pricing (min 5 seats), SSO/SAML, white-label, HIPAA
  • ⚠️ Cost escalation – Per-agent model criticized for scaling vs project pricing
  • Seat-Based Pricing – ~$30 per user per month
  • ✅ Small Team Value – Affordable for teams under 50 users, predictable costs
  • ⚠️ Scalability Cost – 100 users = $3,000/month, expensive for large organizations
  • Unlimited Content – No published document limits, gated only by user seats
  • Free Trial + Enterprise – Evaluation available, custom pricing for volume discounts
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
  • 24/7 support – Live chat/email, consistently praised (4.5/5 G2, 4.6/5 Capterra)
  • Developer docs – Extensive at developers.livechat.com with Postman, tutorials
  • Enterprise SLA – Guaranteed response times, uptime commitments
  • SDK support – JavaScript, iOS (Swift), Android (Kotlin), Customer SDK
  • ✅ Direct Support – Email, phone, chat with hands-on onboarding approach
  • ✅ Quick Deployment – Minimal admin overhead, connect sources and start asking questions
  • ⚠️ No Open Community – Closed solution, no plug-ins or user extensions
  • ⚠️ No Developer Docs – No API documentation or programmatic access guides
  • Internal Roadmap – Updates from Pyx only, no user-contributed features
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations
Limitations & Considerations
  • ⚠️ NOT RAG platform – Human-agent live chat, not autonomous retrieval (2/10 RAG)
  • ⚠️ Limited formats – PDFs/websites only, NO DOCX/CSV/Excel/audio/video/code
  • ⚠️ NO LLM flexibility – Proprietary engine only, no GPT-4/Claude/Gemini
  • ⚠️ Fragmented product – ChatBot requires separate $52/month purchase
  • ⚠️ Cost scaling – Per-agent pricing criticized, 10 agents = $642/month
  • ⚠️ No Public API – Cannot embed or call programmatically, standalone UI only
  • ⚠️ No Messaging Integrations – No Slack, Teams, WhatsApp or chat platform connectors
  • ⚠️ Limited Branding – Minimal customization, not white-label solution for public deployment
  • ⚠️ No Advanced Controls – Cannot configure RAG parameters, model selection, retrieval strategies
  • ⚠️ Seat-Based Scaling – Expensive for large orgs vs usage-based pricing models
  • ✅ Best For – Small European teams (<50 users) prioritizing simplicity and GDPR over flexibility
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan
Core Chatbot Features
N/A
  • Conversational Search – Context-aware Q&A over enterprise documents with follow-up questions
  • ⚠️ Internal Focus – Designed for knowledge management, no lead capture or human handoff
  • Multi-Language – Likely supports multiple languages, though not a headline feature
  • ⚠️ Basic Analytics – Stores chat history, fewer business insights than customer-facing tools
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
N/A
  • ⚠️ Minimal Branding – Logo/color tweaks only, designed as internal tool not white-label
  • ⚠️ No Embedding – Standalone interface, no domain-embed or widget options available
  • Pyx UI Only – Look stays "Pyx AI" by design, public branding not supported
  • Security Focus – Emphasis on user management and access controls over theming
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • ✅ Auto-Sync Updates – Knowledge base updated without manual uploads or scheduling
  • ⚠️ No Persona Controls – AI voice stays neutral, no tone or behavior customization
  • ✅ Access Controls – Strong role-based permissions, admins set document visibility per user
  • Closed Environment – Great for content updates, limited for AI behavior or deployment
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
No- Code Interface & Usability
N/A
  • ✅ Straightforward UI – Users log in, ask questions, get answers without coding
  • ✅ No-Code Admin – Admins connect data sources, Pyx indexes automatically
  • Minimal Customization – UI stays consistent and uncluttered by design
  • Internal Q&A Hub – Perfect for employee use, not external embedding or branding
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
Competitive Positioning
N/A
  • Market Position – Turnkey internal knowledge search (Germany), not embeddable chatbot platform
  • Target Customers – Small-mid European teams needing GDPR compliance and simple deployment
  • Key Competitors – Glean, Guru, Notion AI; not customer-facing chatbots like CustomGPT
  • ✅ Advantages – Simple scope, auto-sync, GDPR compliance, ~$30/user/month predictable pricing
  • ⚠️ Use Case Fit – Perfect for <50 user teams, not API integrations or public chatbots
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development
R A G-as-a- Service Assessment
N/A
  • ⚠️ NOT TRUE RAG-AS-A-SERVICE – Standalone internal app, not API-accessible RAG platform
  • Turnkey Application – Self-contained Q&A tool vs developer-accessible RAG infrastructure
  • ⚠️ No API Access – No REST API, SDKs, programmatic access unlike CustomGPT/Vectara
  • Closed Application – Web/desktop interface only, cannot build custom applications on top
  • SaaS vs RaaS – Software-as-a-Service (standalone app) NOT Retrieval-as-a-Service (API infrastructure)
  • Best Comparison Category – Internal search tools (Glean, Guru), not developer RAG platforms
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing

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Final Thoughts

Final Verdict: LiveChat vs Pyx

After analyzing features, pricing, performance, and user feedback, both LiveChat and Pyx are capable platforms that serve different market segments and use cases effectively.

When to Choose LiveChat

  • You value mature 20+ year platform with proven enterprise reliability (adobe, paypal, ikea, samsung, best buy)
  • 200+ integrations with robust Zapier support (5,000+ app connections) and comprehensive webhooks
  • Exceptional compliance portfolio: SOC 2 + GDPR + HIPAA + ISO 27001 + PCI DSS + FedRAMP + CSA Star Level 1

Best For: Mature 20+ year platform with proven enterprise reliability (Adobe, PayPal, IKEA, Samsung, Best Buy)

When to Choose Pyx

  • You value very quick setup (30-60 minutes)
  • No manual data imports required
  • Excellent ease of use with conversational interface

Best For: Very quick setup (30-60 minutes)

Migration & Switching Considerations

Switching between LiveChat and Pyx requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

LiveChat starts at $20/month, while Pyx begins at $30/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between LiveChat and Pyx comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

  • Review: Check the detailed feature comparison table above
  • Test: Sign up for free trials and test with real queries
  • Calculate: Estimate your monthly costs based on expected usage
  • Decide: Choose the platform that best aligns with your requirements

Last updated: February 24, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar's avatar

Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

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