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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.

Fireworks AI logo
Fireworks AI
✓ verifiedPaid

Developer platform for fast serverless inference and training of open generative models, billed per token or GPU-second.

611K visits/mo1.3K saves
Credo AI logo
Credo AI
✓ verifiedPaid

Enterprise AI governance platform to inventory AI systems, assess risk and map controls to regulations like the EU AI Act and NIST.

50K visits/mo
Aikido Security logo
Aikido Security
✓ verifiedFreemium

Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.

670K visits/mo
Resemble AI logo
Resemble AI
✓ verifiedFree trial

Generative-AI security platform for watermarking and detecting voice, image, and video deepfakes, built on its own voice-cloning models.

292K visits/mo14K saves
IronClaw logo
IronClaw
✓ verifiedFree

Open-source, Rust-built secure runtime that runs AI agents in encrypted enclaves so credentials never reach the model.

37K visits/mo
Pricing
On-Demand H100/H200: $7/GPU-hour
On-Demand B200: $10/GPU-hour
On-Demand B300: $12/GPU-hour
Fine-tuning (LoRA SFT, models up to 16B): from $0.50 per 1M training tokens

No public pricing

Developer: $0 (2 users, 10 repos)
Basic: $300/mo (10 users, 100 repos)
Pro: $600/mo (200 repos)
Standard Pentest: $4,000 per assessment

Free trial available

Flex plan: $0 to start (pay-per-use credits)
Team Seats: $20/month per user
Rapid voice clone: $2/month per voice
Pro voice clone: $5/month per voice
Voice design: $2/month per voice
Audio deepfake detection: $0.04 per second
Video deepfake detection: $0.07 per second

Free trial available

No public pricing

Core features
  • Serverless per-token inference with OpenAI/Anthropic-compatible APIs
  • On-demand dedicated and reserved GPU deployments
  • Fine-tuning and reinforcement-learning training pipelines
  • Large library of open LLM, vision, image and audio models
  • Optimized inference engine for throughput and latency
  • AI/agent registry with shadow-AI discovery
  • Continuous, contextual risk intelligence
  • Agentic risk and control library
  • Policy-to-code with pre-built regulatory policy packs
  • Compliance mapping and audit evidence
  • GAIA governance assistant and 300+ integrations
  • SAST, SCA and secrets scanning
  • Cloud misconfiguration (CSPM) and container scanning
  • AI-powered autonomous pentesting
  • AutoFix pull requests and auto-triage
  • Runtime and bot protection (Zen)
  • SOC 2 and ISO compliance support
  • Multimodal deepfake detection for audio, image, and video
  • Invisible, persistent watermarking for media provenance
  • Real-time deepfake monitoring bot for live meetings
  • Voice cloning and text-to-speech generation
  • Pay-as-you-go credit-based Flex pricing plan
  • Enterprise on-premise deployment and SSO options
  • Encrypted credential vault injected only at approved endpoints
  • Agents run inside Trusted Execution Environments (encrypted enclaves)
  • Sandboxed tools in Wasm containers with capability-based permissions
  • Real-time outbound leak detection to block credential exfiltration
  • Rust codebase for memory safety
  • One-click cloud deploy on NEAR AI Cloud or self-host from source
Use cases
  • Serving open models in production apps and agents
  • Fine-tuning models on private data
  • Powering code assistants, chatbots and RAG at scale
  • Comply with the EU AI Act, ISO 42001 and NIST AI RMF
  • Track and govern AI adoption and shadow AI
  • Assess third-party/vendor AI risk
  • Govern AI agents from intake to runtime
  • Finding and fixing code vulnerabilities
  • Securing cloud and containers
  • Running continuous pentests
  • Automating compliance evidence
  • Enterprises verifying caller identity to prevent voice fraud
  • Media companies watermarking content for provenance tracking
  • Security teams monitoring live calls for deepfake impersonation
  • Developers building AI voice agents with cloned voices
  • Running autonomous AI agents without exposing secrets
  • Self-hosting a secure personal AI assistant
  • Deploying agents in a confidential-compute environment
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