Chatling vs Denser.ai

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

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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 Denser.ai 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 Denser.ai, 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 Denser.ai if: you value state-of-the-art hybrid retrieval (75.33 ndcg@10) outperforms pure vector search with published benchmarks

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 Denser.ai

Denser.ai Landing Page Screenshot

Denser.ai is open-source hybrid rag with state-of-the-art retrieval architecture. Denser.ai is a developer-focused RAG platform built by former Amazon Kendra principal scientist Zhiheng Huang, combining open-source retrieval technology with no-code deployment. Its hybrid architecture fuses Elasticsearch, Milvus vector search, and XGBoost ML reranking to achieve 75.33 NDCG@10 (vs 73.16 for pure vector search) and 96.50% Recall@20 on benchmarks. Trade-offs: no SOC2/HIPAA certifications, limited native integrations, ~4-person team size impacts enterprise support. Founded in 2023, headquartered in Silicon Valley, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
88/100
Starting Price
$19/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 RAG Platform. 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

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Chatling
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Denser.ai
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CustomGPTRECOMMENDED
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)
  • Document formats – PDF, DOCX, PPTX, CSV, TXT, HTML; 5MB free tier limit
  • Website crawling – Hundreds of thousands of pages indexed under 5 minutes
  • Google Drive – Native integration with real-time sync for cloud content
  • SQL databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQL
  • ⚠️ YouTube, Dropbox, Notion, OneDrive – Zapier middleware required (no native integration)
  • 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
  • Website deployment – JavaScript widget (single line), iFrame, REST API
  • WordPress – Official plugin with page-specific targeting for no-code install
  • Zapier – 6,000+ apps with lead form triggers and events
  • ⚠️ No native Slack, Teams, Discord – WhatsApp via Zapier only
  • ⚠️ CRM via Zapier only – HubSpot, Salesforce, Zendesk not native
  • 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 interface – Chat with customers in friendly manner
  • Business knowledge integration – Trained on documents, websites, Google Drive
  • Multi-language support – 80+ languages with automatic detection
  • Lead capture – Integrated forms (name, email, company, role)
  • Human handoff – Triggers on complexity with Zendesk tickets
  • ✅ #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
  • Drag-and-drop builder – Theme colors, logos, button sizing, bubbles
  • Custom domains – Available on paid tiers for white-labeling
  • Welcome messages – Configure suggested questions and greetings
  • 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
  • Supported LLMs – GPT-4o, GPT-4o mini, GPT-3.5, Claude (version unspecified)
  • API keys – Users provide OpenAI or Claude keys via environment
  • ⚠️ No custom fine-tuning – No private model hosting documented
  • 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
  • REST API + GraphQL – Bearer token auth with scored passage responses
  • denser-retriever – MIT-licensed Python package (261 stars, 30 forks)
  • Docker Compose – Full stack with Elasticsearch and Milvus containers
  • ⚠️ Self-hosted "not production suitable" – Requires additional persistence and secrets config
  • Rate limits – 200 API calls/month on free tier
  • 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
  • 98.3% response accuracy – Claimed with 1.2-second average response
  • Source citation – Visual PDF highlighting with page-level references
  • ⚠️ No published uptime SLA – Service reliability not documented
  • 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
  • Free – $0: 1 chatbot, 20 queries/month, 5MB limit
  • Starter – $19-29/month: 2 chatbots, 1,500 queries/month, 30-day logs
  • Standard – $89-119/month: 4 chatbots, 7,500 queries/month, custom domain
  • Business – $399-799/month: 8 chatbots, 15,000 queries/month, priority support
  • Enterprise – Custom: Private cloud, dedicated support, AWS Marketplace
  • ⚠️ User feedback – "Plans quite restrictive, credit limits reached sooner"
  • 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
  • ⚠️ NO SOC 2, HIPAA, ISO 27001, GDPR certifications – Not for regulated industries
  • Private cloud deployments – Enterprise tier for data sovereignty
  • AES-256 encryption – Database connections with read-only access
  • AWS infrastructure – Data storage and processing on AWS
  • 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
  • Conversation logs – Retention by tier (30-360 days)
  • User engagement tracking – Common queries, conversation length, drop-off points
  • ⚠️ No A/B testing – No third-party BI integration (Tableau, PowerBI)
  • ⚠️ No real-time alerting – No documented SLA tracking
  • 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
N/A
  • 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
  • Visual builder – Drag-and-drop theme customization without coding
  • Setup – Single line JavaScript; WordPress plugin for no-code
  • ⚠️ Learning curve – Documentation fragmented across multiple sites
  • ⚠️ ~4-person team – Impacts enterprise support capacity
  • 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
  • vs CustomGPT – Superior retrieval transparency, SQL chat; gaps in compliance
  • vs Glean – Open-source vs proprietary, lower cost; lacks permissions-aware AI
  • ✅ Unique strengths – Hybrid retrieval benchmarks, founder pedigree, SQL chat
  • Target audience – Developers building AI chatbots without strict compliance
  • 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 compliance certifications – Missing SOC 2, HIPAA, ISO 27001, GDPR
  • ⚠️ Small team (~4 people) – Potential scaling constraints for enterprise
  • ⚠️ Heavy Zapier dependency – No native Slack, Teams, CRM integrations
  • ⚠️ Fragmented documentation – Scattered across docs, retriever docs, GitHub
  • ⚠️ User feedback – "Plans restrictive, credit limits reached sooner"
  • 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
Hybrid Retrieval Architecture ( Core Differentiator)
N/A
  • ✅ Three-component system – Elasticsearch + Milvus vectors + XGBoost ML reranking
  • 75.33 NDCG@10 – MTEB vs 73.16 pure vector (3% improvement)
  • 96.50% Recall@20 – Anthropic benchmark vs 90.06% baseline
  • Models – snowflake-arctic-embed-m, bge-en-icl, voyage-2, OpenAI text-embedding-3-large
  • ✅ Key finding – Open-source models match/exceed paid alternatives in benchmarks
N/A
Lead Capture & Marketing
N/A
  • Integrated lead capture – Configurable fields (name, email, company, role, phone)
  • Conversation-triggered forms – Dynamic deployment based on conversation context
  • Analytics dashboard – Lead quality, satisfaction scores, conversion trends
  • ✅ 24.8% conversion rate – Claimed on homepage demonstrating effectiveness
N/A
Multi- Language & Localization
N/A
  • 80+ languages – Automatic language detection for global deployments
  • Multilingual rerankers – jinaai/jina-reranker-v2-base-multilingual support
N/A
Conversation Management
N/A
  • Conversation history – 30-360 days retention by tier
  • Human handoff – Triggers when complexity exceeds scope
  • Escalation workflows – Zendesk ticket creation for handoffs
N/A
S Q L Database Chat ( Unique Feature)
N/A
  • ✅ Direct SQL connectivity – Conversational BI across major databases
  • Supported databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQL
  • Natural language to SQL – Ask questions, receive database query results
  • AES-256 encryption – Secure connections with read-only access requirement
N/A
Open- Source Components
N/A
  • ✅ denser-retriever – MIT-licensed, 261 GitHub stars, full RAG transparency
  • Docker Compose deployment – Local experimentation with Elasticsearch and Milvus
  • Validate benchmarks – Test embeddings, rerankers, chunking on own data
  • ⚠️ Self-hosted "not production suitable" – Denser recommends managed SaaS
N/A
Company Background
N/A
  • Founded 2023 – Silicon Valley startup, ~4 employees (bootstrapped)
  • ✅ Founder Zhiheng Huang – Former Amazon Kendra scientist, Amazon Q lead
  • 70+ research papers – 14,000+ citations; BLSTM-CRF 5,400+ citations
N/A
R A G-as-a- Service Assessment
N/A
  • ✅ TRUE RAG PLATFORM – Hybrid retrieval with open-source transparency
  • Data source flexibility – Good (documents, websites, Google Drive, SQL)
  • LLM model options – Good (GPT-4o, Claude, multiple embeddings/rerankers)
  • ✅ Open-source transparency – Excellent (MIT-licensed core, published benchmarks)
  • ⚠️ Compliance & certifications – Poor (no SOC 2, HIPAA, ISO 27001)
  • Best for – Technical teams prioritizing retrieval accuracy and validation
  • 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
R A G Capabilities
N/A
  • ✅ Hybrid retrieval – ES + Milvus vectors + XGBoost reranking
  • 75.33 NDCG@10 on MTEB – vs 73.16 pure vector (3% improvement)
  • 96.50% Recall@20 – Anthropic benchmark vs 90.06% baseline
  • Source citation – Visual PDF highlighting with page references
  • 98.3% accuracy claimed – 1.2-second average response time
  • 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
  • Customer support chatbots – Website deployment with 24.8% conversion rate
  • ✅ SQL database chat (unique) – Natural language queries against major databases
  • Technical documentation – Hundreds of thousands of pages indexed under 5 minutes
  • Multilingual support – 80+ languages with automatic detection
  • Developer-focused RAG – MIT-licensed denser-retriever for validation
  • 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
Support & Documentation
N/A
  • Documentation – docs.denser.ai, retriever.denser.ai, GitHub READMEs
  • ⚠️ Documentation fragmented – Information scattered across multiple sites
  • ~4-person team – Impacts enterprise support capacity
  • Open-source community – 261 GitHub stars, 30 forks, MIT license
  • 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
  • AI agent capabilities – Process data for intelligent automation with customization
  • Multi-platform deployment – Launch across websites and messaging with single line
  • Adaptive learning – Chatbot learns over time using conversation analysis
  • 24/7 availability – Smart AI support with instant answers
  • 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
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • Behavior customization – Define name, tone, response preferences
  • File support – PDF, DOCX, XLSX, PPTX, TXT, HTML, CSV, XML
  • Website crawling – Train bot by crawling URLs for knowledge base
  • Easy knowledge updates – Add documents, re-crawl, update without rebuild
  • Flexible deployment – Web widget, dashboard, or API integration
  • 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
Security & Compliance
N/A
N/A
  • 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
N/A
  • 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
A I Models
N/A
N/A
  • 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
Additional Considerations
N/A
N/A
  • 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

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Final Thoughts

Final Verdict: Chatling vs Denser.ai

After analyzing features, pricing, performance, and user feedback, both Chatling and Denser.ai 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 Denser.ai

  • You value state-of-the-art hybrid retrieval (75.33 ndcg@10) outperforms pure vector search with published benchmarks
  • Open-source MIT-licensed core (denser-retriever) enables transparency, validation, and self-hosting
  • SQL database chat capability unique differentiator for business intelligence use cases

Best For: State-of-the-art hybrid retrieval (75.33 NDCG@10) outperforms pure vector search with published benchmarks

Migration & Switching Considerations

Switching between Chatling and Denser.ai 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 Denser.ai begins at $19/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 Denser.ai 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 3, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

See Also

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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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