Manif
Manif is building the commercial infrastructure layer for autonomous AI agents, enabling them to discover, negotiate, transact, and settle across networks. The platform provides protocols and technical rails designed to standardize agent-driven commerce, positioning itself as the operating system for machine-driven economic activity. Manif targets enterprises deploying AI agents for procurement and sales, as well as fintech platforms building agent-enabled financial services.
- Commerce & Shopping
- Artificial Intelligence
- AI Agents
- Financial Technology
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
The rapid proliferation of autonomous AI agents that can discover, decide, and transact on behalf of users is creating a fragmented economic landscape with no standardized commercial infrastructure. Without a common framework for agent-to-agent and agent-to-business transactions, the projected trillion-dollar flow of agent-driven commerce lacks trust, interoperability, and settlement mechanisms.
Solution
Manif provides the commercial layer that enables agents to participate in the emerging digital economy. The platform establishes protocols and infrastructure designed to standardize how agents discover, negotiate, transact, and settle across networks. By defining the participation rules and technical rails for agent commerce, Manif positions itself as the operating system for machine-driven economic activity, allowing businesses and consumers to securely delegate financial decisions to their agents. The company emphasizes an AI-native approach, embedding AI in how it builds and operates while keeping humans accountable for decisions and outcomes.
Target Audience
Primary customers include enterprises deploying AI agents for procurement or sales functions, fintech platforms building agent-enabled financial services, and developers creating commercial agents for consumer and business workflows.
Features
- Agent-native transaction protocol built to handle high-frequency, low-value autonomous exchanges
- Commerce discovery mechanisms that allow agents to find vetted counterparties and service providers
- Settlement infrastructure designed for machine-speed financial clearing and reconciliation
- Identity and trust framework enabling agents to establish verifiable commercial credentials
- Integration layers for businesses to define participation policies and spending constraints for their agents
- AI-native development approach with design-led architecture, specifications, invariants, and constraints to ensure reliability in complex, emergent systems