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FluidStack logo
FluidStack
✓ verifiedPaid

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

101K visits/mo
Shaped AI logo
Shaped AI
✓ verifiedFreemium

Managed AI ranking engine powering personalized search, recommendations, and feeds via a SQL-like query language.

88K visits/mo
CopilotKit logo
CopilotKit
✓ verifiedFreemium

Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.

170K visits/mo
SJinn logo
SJinn
✓ verifiedPaid

Credit-based AI agent for generating and editing images, video, audio, and 3D content from a single prompt or template.

354K visits/mo
Runware logo
Runware
✓ verifiedFreemium

Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.

249K visits/mo
Pricing

No public pricing

Standard: usage-based, $500/month minimum
Storage: $0.20 per GB
Enrichment tokens: $2 per million tokens
Reads: $0.45 per thousand
Writes: $0.012 per thousand
Training & encoding: $6 per hour

Free trial available

Developer: $0 (1 seat, free forever, 200 threads)
Pro: $39/developer/mo (up to 5 seats, 5,000 threads)
Team: $500/mo (5 seats, 25,000 threads)
Standard: $12/mo (20,000 credits/mo)
Pro: $30/mo (60,000 credits/mo)
Ultra: $60/mo (120,000 credits/mo)
Enterprise: $720/mo (1,200,000 credits/mo)
vCPU compute: $0.016/hr
RTX PRO 6000: $1.99/hr (as low as $0.99)
H100: $2.76/hr
H200: $3.18/hr
B200: $4.99/hr

Free trial available

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
  • ShapedQL SQL-style query interface for retrieval and ranking
  • Hybrid semantic and keyword search
  • Continuous learning from user feedback signals
  • 30+ native data connectors for warehouses and streams
  • Sub-50ms query latency
  • Python and TypeScript SDKs plus MCP support
  • React and Angular frontend SDKs
  • Agent-rendered generative UI
  • AG-UI agent-user interaction protocol
  • Connectors for LangChain and other frameworks
  • Pre-built customizable chat/sidebar components
  • Slack and Teams integrations
  • Thread and state persistence
  • Agent Mode that automates multi-step content creation from a prompt
  • Tool Mode offering discrete image, video, and audio generators
  • Canvas-based visual editing workspace
  • Access to multiple third-party generation models (Seedance, Kling, Sora, Veo3)
  • Watermark removal tool
  • Image-to-3D conversion and lip-sync generation
  • API and MCP access for integrating into other workflows
  • Single API for image, video, audio, 3D and LLM models
  • Standardized model addressing across hosted, partner and custom uploads
  • Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
  • WebSocket and REST access with async webhook delivery
  • Pay-per-request billing with no infrastructure to manage
  • Raw serverless GPU/CPU compute for custom workloads
Use cases
  • Training and running large AI models at scale
  • Provisioning GPU compute for AI labs
  • Building dedicated AI data-center capacity
  • Personalizing 'for you' content feeds
  • Building product recommendation systems
  • Powering RAG retrieval with behavioral ranking
  • Adding hybrid search to an e-commerce site
  • Adding an AI assistant to a SaaS product
  • Building agents that render interactive UI
  • Deploying copilots across Slack and Teams
  • Connecting existing agents to a frontend
  • Content creators producing social video and image assets quickly
  • Marketers needing multilingual or multi-format ad creatives
  • Teams experimenting across several AI generation models in one tool
  • Users needing lip-synced or upscaled video output
  • Adding AI image or video generation to an app without managing infra
  • Batching multi-modal generation tasks in one API call
  • Running custom fine-tuned models via Model Upload
  • Cutting inference costs at high generation volume
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