Chatling 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 Chatling 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 Chatling 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 Chatling if: you value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
  • Choose Pyx if: you value very quick setup (30-60 minutes)

About Chatling

Chatling Landing Page Screenshot

Chatling is no-code ai chatbot platform with 32-model llm selection. No-code AI chatbot platform with 32-model LLM selection and SMB-focused pricing starting at $25/month. Developed by Envision Labs Inc. (Ontario, Canada), Chatling balances visual builder simplicity with REST API v2 access and native WhatsApp integration. 4.8/5 G2 rating (53-63 reviews). Critical gaps: NO SOC 2/HIPAA certifications, NO native human handoff, NO official SDKs, NO source citations. Founded in Year not disclosed, headquartered in Ontario, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
85/100
Starting Price
$25/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: Chatbot Platform 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 chatling
Chatling
logo of pyx
Pyx
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Data Ingestion & Knowledge Sources
  • File Formats – PDF, DOCX, plain text ONLY
  • CRITICAL LIMITATION – NO CSV, Excel, or structured data format support
  • Website Crawler – Up to 1,000 pages per domain with automatic extraction
  • Sitemap Ingestion – Required for sites larger than 1,000 pages
  • Help Desk Integration – Zendesk and Zoho for importing articles
  • NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive require manual downloads
  • NO YouTube Transcripts – Video content ingestion not supported
  • Knowledge Base Limits – 500K chars (Free), 20M chars (Pro), 90M chars (Ultimate)
  • ⚠️ Automatic Syncing – Daily, weekly, monthly schedules (NO real-time continuous sync)
  • ✅ 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
  • WhatsApp Business API – Native integration with full functionality, media sharing
  • Website Embedding – Floating chat bubble, inline iframe, full-page deployment
  • Zapier Integration – 7,000+ apps with triggers and actions
  • CMS Plugins – WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop
  • HTTP Request Actions – Custom API calls for order lookups, CRM updates
  • CRITICAL GAPS – NO native Slack, Microsoft Teams, or Telegram integrations
  • NO Mobile SDKs – App integration requires webview embedding
  • ⚠️ 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
Core Chatbot Features
  • AI Intents – Train on example phrases for recognition without exact matching
  • Visual Flow Builder – No-code drag-and-drop conversation design
  • HTTP Request Blocks – Real-time API integrations within flows
  • Lead Capture – Built-in system variables for name, email, phone collection
  • Multi-language Detection – 85+ languages with automatic browser-based preference
  • CRITICAL LIMITATION – NO native human handoff, fallback collects contact info
  • ⚠️ Third-Party Escalation – Requires Zapier to Zendesk/Freshdesk (adds latency)
  • AI Agents (Beta) – Task-oriented assistants beyond simple chatbots
  • 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
  • Visual Customization – Primary/secondary colors, custom icons, header titles
  • Custom Instructions – System prompt for persona, tone, behavior rules
  • Temperature Control – 0-1 scale for creativity at global or per-block level
  • Max Length Settings – Token limits to control response verbosity
  • White-Labeling – Ultimate tier ($99/month) removes 'Powered by Chatling'
  • CRITICAL LIMITATION – NO custom CSS injection for pixel-perfect brand matching
  • ⚠️ 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
L L M Model Options
  • Free Tier (8 Models) – GPT-4.1, GPT-4o, GPT-4o Mini, Claude 4 Sonnet, Claude 3.5 Haiku
  • Paid Tiers (32 Total) – GPT-5, GPT-5 Mini, o4 Mini, Claude 4.5 Sonnet, Gemini 2.5 Pro/Flash
  • Model Selection Flexibility – Configure globally OR per AI response block
  • Temperature & Max Tokens – Exposed at both global and per-block levels
  • ⚠️ NO Automatic Routing – Model selection is manual, no complexity-based switching
  • Credit System – 1 credit per AI response on GPT-4o, monthly reset (no carryover)
  • Competitive Advantage – 32-model roster exceeds most no-code platforms
  • ⚠️ 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)
  • REST API v2 – https://api.chatling.ai/v2/ with Bearer token auth
  • Rate Limit – 300 requests/minute across all endpoints
  • Chatbots Endpoint – Create, duplicate, list, retrieve, update settings
  • AI Endpoint – List models, languages, chat with knowledge base
  • Knowledge Base Endpoint – Add links/text/FAQs, resync, delete sources
  • Conversations Endpoint – List, retrieve, update, access message history
  • Conversation Context Persistence – conversation_id for multi-turn dialogues
  • CRITICAL GAPS – NO official JavaScript/Python SDKs, NO Postman collections, NO OpenAPI specs
  • ⚠️ Developer Burden – Must build own HTTP clients without SDK support
  • ⚠️ 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
Performance & Accuracy
  • Customer Testimonial – 45% of support questions resolved, 1,500+ email reduction
  • Reliability Praised – "Chatbots have never gone down" in G2 reviews
  • Large-Scale Deployment – 4,000+ website URLs with "reliable answers"
  • 5-Minute Setup Time – Consistently praised rapid deployment
  • RAG Grounding – Responses grounded in uploaded content
  • NO Source Citations – Responses don't show which documents informed answers
  • NO Confidence Scoring – No hallucination detection mechanisms documented
  • NO Published Benchmarks – Performance claims rely on testimonials vs metrics
  • 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
Pricing & Scalability
  • Free Tier – $0, 100 AI credits, 2 chatbots, 1 seat, 500K characters, 8 models
  • Pro Tier – $25/month, 3,000 credits, 5 chatbots, 2 seats, 20M characters, 32 models
  • Ultimate Tier – $99/month, 12K-20K credits, 35 chatbots, 6 seats, 90M characters
  • Unlimited Non-AI Chats – All tiers include unlimited non-AI conversations
  • 14-Day Money-Back Guarantee – Risk-free testing for initial purchases
  • Competitive SMB Positioning – $25/month vs $700/month (Progress), $30K+/year (Drift)
  • ⚠️ Credit System – Monthly reset with no carryover requires usage planning
  • 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
Security & Privacy
  • GDPR Compliant – EU data residency (DigitalOcean Amsterdam)
  • NO Training on Customer Data – OpenAI, Anthropic, Google agreements explicit
  • Trust Center – trust.chatling.ai with security docs and sub-processor lists
  • CRITICAL GAPS FOR ENTERPRISE – NO SOC 2, HIPAA, or ISO 27001 certification
  • NO SSO/SAML Support – Enterprise identity provider integration absent
  • NO IP Restriction Capabilities – Cannot limit access to specific IP ranges
  • NO Audit Logs – Beyond basic analytics, compliance tracking limited
  • ⚠️ Disqualifying for Regulated Industries – Finance, healthcare, government blocked
  • ✅ 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
Observability & Monitoring
  • Dashboard Metrics – Conversation counts, new leads, peak chat times heatmap
  • User Satisfaction Ratings – Helpful/unhelpful tracking with analytics percentages
  • Real-Time Monitoring – Live chatbot interaction visibility
  • API Data Extraction – Conversations/contacts via REST API for analysis
  • ⚠️ CRITICAL LIMITATIONS – Export functionality minimal or in development
  • NO Custom Report Builder – Users work with built-in dashboard views only
  • 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
Support & Ecosystem
  • Email-Only Support – support@chatling.ai, NO live chat or phone
  • G2 Support Rating – 9.2/10 quality despite response time concerns
  • Comprehensive Documentation – docs.chatling.ai with getting started guides
  • Video Tutorials – Supplement written documentation
  • Action Tutorial Library – Practical HTTP request examples
  • MISSING ECOSYSTEM – NO community forum, Discord, Slack workspace, or status page
  • NO Public Roadmap – Feature development transparency limited
  • ✅ 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
No- Code Interface & Usability
  • 5-Minute Setup Time – Consistently praised by G2 reviewers
  • Visual Flow Builder – Drag-and-drop conversation design without coding
  • AI Intents Training – Example phrase interface for configuration
  • Knowledge Base Management – Upload files, add text via simple dashboard
  • Analytics Dashboard – Visual metrics with heatmaps accessible to business users
  • ⚠️ G2 CRITICISM – Single flow architecture unwieldy for complex bots
  • MISSING FEATURES – Cannot import/export flows for version control
  • ✅ 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
32- Model L L M Selection
  • Broadest Selection Among No-Code Platforms – 32 total models vs typical 3-5
  • Latest Models Included – GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5, Gemini 2.5
  • Free Tier Access – 8 models available without payment
  • Hybrid Deployment Capability – Per-block model selection enables cost optimization
  • Competitive Advantage – Exceeds CustomGPT, Drift, Yellow.ai in model variety
  • ⚠️ Manual Selection Required – NO automatic routing based on query complexity
N/A
N/A
Whats App Native Integration
  • WhatsApp Business API – Native robust integration vs third-party workarounds
  • Full Chatbot Functionality – All features work on WhatsApp including AI, lead capture
  • Media Sharing – Images, documents, voice messages supported
  • Consumer-Facing Strength – Strong for e-commerce, SMBs, global markets
  • Competitive Gap – Progress, CustomGPT lack native WhatsApp integration
  • ⚠️ B2B Messaging Gap – WhatsApp doesn't offset missing Slack/Teams
N/A
N/A
Competitive Positioning
  • Market Position – SMB-focused no-code chatbot with 4.8/5 G2 rating
  • Pricing Advantage – $25/month vs $700/month (Progress), 10-100x cheaper
  • 32-Model Differentiator – Broadest LLM selection among no-code platforms
  • Free Tier Generosity – 100 credits, 2 chatbots, 8 models without credit card
  • WhatsApp Strength – Native integration for consumer-facing businesses
  • Enterprise Gaps – NO SOC 2/HIPAA/ISO 27001, NO SSO, NO human handoff
  • B2B Messaging Gaps – NO native Slack/Teams/Telegram
  • Developer Limitations – NO official SDKs, NO source citations, NO confidence scoring
  • 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
Limitations & Considerations
  • ⚠️ Single Flow Management – Unwieldy for complex bots without folder organization
  • NO Live Chat Support – Blended human-AI support unavailable without Zapier
  • ⚠️ Separate Bots Per Channel – Need separate for website vs WhatsApp
  • ⚠️ Barebones Analytics – Limited compared to enterprise platforms
  • NO Flow Import/Export – Cannot copy or duplicate for version control
  • Screen Reader Accessibility – Does not support blind users
  • ⚠️ Setup Time Investment – Configuring tone and knowledge base not plug-and-play
  • ⚠️ Integration Gaps – Heavy reliance on Zapier limits functionality
  • Best for Small-to-Medium Bots – Not designed for massive enterprise projects
  • ⚠️ 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
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
Additional Considerations
N/A
  • ✅ 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
N/A
  • ⚠️ 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
N/A
  • 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
N/A
  • ✅ 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
N/A
  • ✅ 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
N/A
  • 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
N/A
  • ✅ 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
Core Agent Features
N/A
  • ⚠️ 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
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: Chatling vs Pyx

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

When to Choose Chatling

  • You value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
  • Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card
  • Unlimited non-AI chats across all tiers reduces usage anxiety and cost unpredictability

Best For: Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility

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 Chatling 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

Chatling starts at $25/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 Chatling 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 1, 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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