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Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
Marketplace where AI agents or people post paid real-world task bounties for humans to complete, from errands to store audits.
General AI agent that executes multi-step tasks end to end — research, slides, design, browsing — instead of only answering questions.
Enterprise AI observability and security platform to monitor, evaluate, and govern agentic and ML systems with guardrails.
Open-source AI gateway giving dev teams unified access, fallbacks and spend tracking across 100+ LLMs.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- ✦Task/bounty posting with fixed pricing and location
- ✦Direct messaging or applications from verified humans
- ✦Escrow-style payments released on task completion
- ✦MCP and REST API integration for AI agents to hire humans
- ✦Identity verification and ratings/reviews for humans
- ✦Finder's-fee referral system for some bounties
- ✦Autonomous multi-step task execution
- ✦Website and app building
- ✦AI slides, design and image generation
- ✦Manus browser operator
- ✦Wide Research mode
- ✦Cross-platform web, desktop and mobile apps
- ✦End-to-end agentic and ML observability
- ✦Real-time guardrails (hallucination, PII, jailbreak)
- ✦Continuous evaluations and custom judges
- ✦Root-cause analysis and decision lineage
- ✦AI governance, risk, and compliance controls
- ✦Flexible SaaS, VPC, or on-prem deployment
- ✦Unified access to 100+ LLMs in OpenAI format
- ✦Cost/spend tracking per key, user and team
- ✦Budgets and rate limiting
- ✦Automatic provider fallbacks and retries
- ✦Virtual keys and team management
- ✦Logging and observability integrations
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →AI agent developers automating real-world task fulfillment
- →Businesses commissioning in-person marketing or street teams
- →Individuals hiring help for errands, deliveries, or pet care
- →Researchers gathering in-person data like store pricing or photos
- →Automate end-to-end digital tasks
- →Produce websites and presentations
- →Conduct broad research
- →Hand off browser tasks to an agent
- →Monitoring production AI agents
- →Enforcing safety guardrails on LLM apps
- →Evaluating and debugging model behavior
- →Governance and compliance for enterprise AI
- →Giving developers governed access to many LLMs
- →Attributing and controlling LLM spend
- →Keeping apps running during provider outages