Gain provides AI Employees—autonomous, domain‑expert agents that integrate with existing ERP, source‑to‑pay and P2P systems to handle tactical buying, supplier negotiations, and sourcing analysis. By automating these repetitive procurement tasks while maintaining human‑in‑the‑loop oversight, the platform frees procurement teams to focus on strategic decision‑making and improves efficiency, security, and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Procurement and merchandising teams often face bottlenecks due to manual, repetitive tasks such as tactical buying, supplier negotiations, and data analysis, which limit scalability and increase the risk of errors and inefficiencies.
Solution
Gain introduces AI Employees—autonomous, domain‑expert agents that operate within existing procurement workflows and ERP, source‑to‑pay, and P2P systems. These agents ingest external market data and internal spend information to execute procurement actions, conduct sourcing analysis, and negotiate with suppliers under human oversight. The platform provides end‑to‑end encryption, audit trails, and anomaly monitoring to ensure security and compliance. By acting as trusted teammates rather than standalone software, the AI Employees free human staff to focus on strategic decision‑making and higher‑impact activities.
Target Audience
Gain targets procurement and merchandising teams within large enterprises across industries such as retail, CPG, energy, chemicals, telecom, and manufacturing that need to scale operations while maintaining control and compliance.
Features
- AI Employees specialized in direct and indirect procurement, capable of handling tactical buying, bidding, and complex negotiations
- Seamless integration with existing ERP, source‑to‑pay, and P2P platforms via standard connectors
- Real‑time market intelligence and supplier evaluation powered by big‑data analytics
- Enterprise‑grade security including end‑to‑end encryption, LDAP/SIEM integration, and least‑privilege access controls
- Full audit trail and explainable outputs with continuous fraud and anomaly detection
- Human‑in‑the‑loop oversight allowing users to monitor, intervene, and approve AI‑driven actions