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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

FluidStack logo
FluidStack
✓ verifiedPaid

Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.

101K visits/mo
Bland.ai logo
Bland.ai
✓ verifiedPaid

Enterprise voice-AI platform for building phone agents on dedicated infrastructure, with per-minute pricing and HIPAA/SOC2/PCI compliance.

226K visits/mo6.2K saves
MyShell.ai logo
MyShell.ai
✓ verifiedFreemium

Platform for building and interacting with AI-powered virtual beings.

69K visits/mo
Macaron AI logo
Macaron AI
✓ verifiedFreemium

Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.

184K visits/mo
novita.ai logo
novita.ai
✓ verified

AI cloud offering model APIs, GPU instances, and serverless GPUs; high traffic.

319K visits/mo1.4K saves
Pricing

No public pricing

Start: $0/mo platform fee + $0.14/min
Build: $299/mo + $0.12/min
Scale: $499/mo + $0.11/min

Free trial available

No public pricing

No public pricing

No public pricing

Core features
  • Large-scale GPU and data-center infrastructure for AI
  • Power acquisition and data-center design/build
  • Fast deployment (gigawatts in ~6 months)
  • Operates both hardware and software stack
  • AI phone agents (inbound and outbound)
  • No-code agent builder (Norm)
  • Scenario testing before launch
  • Omnichannel voice, SMS, iMessage and chat
  • Telephony and CRM integrations
  • Enterprise compliance and on-prem options
  • AI chatbot creation with unique personalities and voices
  • Decentralized platform for AI-native apps
  • Voice and video conversations with AI beings
  • AI agent building and sharing
  • Creator economy for AI apps
  • Personal AI agent for daily life
  • Deep Memory that remembers user preferences
  • Builds custom tools and mini-apps on request
  • Personality test for personalization
  • Mobile app
  • Content and template library
  • Model APIs
  • GPU Instances
  • Serverless GPUs
  • Custom Model Deployment
Use cases
  • Training and running large AI models at scale
  • Provisioning GPU compute for AI labs
  • Building dedicated AI data-center capacity
  • Automating customer-service calls
  • IVR replacement and appointment booking
  • Outbound sales and lead qualification
  • Regulated-industry voice automation
  • Interacting with AI friends like Shizuku for voice and video conversations
  • Creating AI-native apps using generative AI models
  • Building and sharing AI agents within the MyShell ecosystem
  • Getting personalized help with daily tasks
  • Generating small custom tools on demand
  • Building an AI that remembers your context
  • Creative writing and story generation
  • Deploy AI models for various applications using a simple API.
  • Scale AI applications with serverless GPUs.
  • Access high-performance GPUs for demanding workloads.
  • Deploy custom models with guaranteed performance and scalability.
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