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Oridio vs Overmind

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Oridio compared with Overmind
Detail OridioOvermind logo Overmind
What it doesSecurity runtime for autonomous AI agents and multi-agent workflows The model training platform for AI teams
StageMVP Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Freemium
PricingStarter: $29/mo with 7-day free trial, 250,000 requests/mo, 1,500 mins sandbox compute, 5 custom Wasm rules. Pro: $79/mo, 1,000,000 requests/mo, 5,000 mins sandbox compute, unlimited custom Wasm policies. Enterprise: Custom pricing. Pay-as-you-go overages: $8 per 100k extra requests and $0.005 per m Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
Key features
  • L4/L7 Proxy Interceptor for inline A2A and MCP protocol interception
  • Sub-millisecond Wasm guardrails and PII redaction under 1.2ms
  • Financial circuit breakers and spend locks with multi-node Redlock consensus
  • Firecracker MicroVM sandboxing for untrusted code execution
  • Human-in-the-Loop asynchronous state hydration for approval workflows
  • Slack integration for approval requests and notifications
  • Zero agent refactoring with drop-in integration
  • Support for LangGraph, CrewAI, AutoGen, and Claude frameworks
  • 99.99% uptime SLA for data plane proxy on Pro and Enterprise tiers
  • OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
  • Generated evals and Agent Optimizer runs that return scored code diffs
  • Data Workshop with dataset preparation and quality checks
  • Model training with recommended settings for LoRA or full fine-tuning
  • Benchmarks against your current model on the same eval set
  • Hosted OpenAI-compatible inference and downloadable model weights
  • Console, CLI and MCP server access
  • OpenAI-compatible API for trained models
What makes it different
  • Infrastructure-level security enforcement outside agent context prevents prompt injection bypasses
  • Sub-5ms p99 latency overhead with fail-closed guarantees
  • Memory-safe Rust implementation with WebAssembly policy execution
  • Zero payload retention and data sovereignty with SAML/OIDC support
  • Own your trained models with downloadable weights and checkpoints
  • Zero third-party training with data never leaving your pipeline
  • Open source and self-hostable with Docker Compose
  • Built by security and defense intelligence pioneers
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check44 no change since last check
Trust Flow (Majestic)010
Citation Flow (Majestic)035
Referring domains (Majestic)0201

5 details filled in for both companies.

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