Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
✕
Gumloop
✓ verifiedFreemium
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
701K visits/mo
✕
Base44
✓ verifiedFreemium
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
18M visits/mo
✕
SiteSpeakAI
✓ verifiedFreemium
Customizable AI support agent trained on a site's content that answers questions, books meetings, and looks up orders in 95+ languages.
44K visits/mo
✕
Relevance AI
✓ verifiedPaid
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
325K visits/mo
✕
Ultralytics
✓ verifiedFreemium
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
1.1M visits/mo
Pricing
Pro: $37/month (20k+ credits/month, unlimited seats)
Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
Free: $0/mo (30 message credits, 1 agent, 10 training sources)
Starter: $29/mo or $24/mo billed yearly (1,000 credits, 1 agent, 200 sources)
Pro: $79/mo or $66/mo billed yearly (3,000 credits, 5 agents, 2,500 sources)
Growth: $249/mo or $208/mo billed yearly (10,000 credits, 15 agents, 8,000 sources)
Business: $499/mo or $416/mo billed yearly (20,000 credits, unlimited agents, 20,000 sources)
Free trial available
No public pricing
Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
Core features
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦Trains on site content, PDFs, and videos to answer questions
- ✦Books meetings and looks up order data via connected tools
- ✦Lead capture forms built into chat conversations
- ✦Human handoff for conversations the AI can't resolve
- ✦Brand customization of colors, logo, and personality
- ✦Conversation analytics on volume, resolution, and sentiment
- ✦API and MCP server access on higher plans
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
Use cases
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →E-commerce sites automating order-status and product questions
- →SaaS companies reducing repetitive support tickets
- →Service businesses capturing and qualifying leads after hours
- →Agencies offering white-labeled chatbots to clients
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
Visit