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Vivgrid vs Slaunt

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

Vivgrid compared with Slaunt
DetailVivgrid logo VivgridSlaunt logo Slaunt
What it doesThe Managed Skills Platform for AI Agents The all-in-one agentic AI solution for your organization
StageNot given Startup
FoundedNot given 2024
Based inUS Not given
Pricing modelFreemium Freemium
PricingFree plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments. Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
Key features
  • Managed Skills with instant deployment to all agents
  • Agent observability and debugging across all decisions
  • Globally distributed inference with low latency
  • Safety guardrails and agent evaluation
  • Multi-agent orchestration with stateful memory
  • Centralized security and access control
  • Support for multiple frontier LLM models
  • Real-time cost and performance insights
  • Agent Insights dashboard
  • Centralized context repository for unifying work signals across tools
  • MCP protocol integration with AI assistants and tools
  • First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
  • Per-agent scoped access with full audit trail
  • Custom vector embeddings for agent memory
  • Instant agent shutdown from anywhere globally
  • QUAERO enterprise AI agent governance system
  • Two-way sync with tools for agent actions and work flows
  • Support for custom MCP servers and internal tools
  • Real-time organizational context for agent reasoning
What makes it different
  • Ship agent improvements in minutes instead of release cycles
  • Centralized skill management without requiring redeploy
  • Complete visibility into agent decisions for fast debugging
  • Proven safe releases with guardrails before production
  • No infrastructure expertise required to deploy agents at scale
  • AI-first design with structured, queryable context rather than static documentation
  • Consistent policy and audit rules across all integrations
  • MCP-native integrations with no bespoke connectors to maintain
  • Instant global agent shutdown capability
  • Guardrails on every agent run by default
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)39 −1 (down) since last check4 no change since last check
Trust Flow (Majestic)250
Citation Flow (Majestic)3828
Referring domains (Majestic)262240

5 details filled in for both companies.

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