Amplinth provides an enterprise AI platform that connects to existing business systems, reasons over a grounded knowledge graph, and delivers role-aware recommendations with human approval gates. The neurosymbolic platform, built on its proprietary Plexus graph engine, is deployed in the customer's cloud and spans fourteen production solutions across industries. Amplinth positions itself as an outcomes-based partner, quantifying financial impact before and after deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Most enterprise AI initiatives fail to deliver measurable business value, remaining disconnected from profit-and-loss outcomes. Organizations struggle with black-box AI systems that cannot be trusted for critical decisions, lack integration with existing infrastructure, and fail to provide quantifiable return on investment.
Solution
Amplinth provides an enterprise AI platform that connects to existing systems without requiring rip-and-replace, then reasons over a grounded knowledge graph using neurosymbolic technology. The platform surfaces next-best, role-aware actions and executes them with human approval gates at every step, ensuring accountability and control. Amplinth quantifies financial impact both before and after deployment, proving the business case before scale. The platform runs in the customer's own cloud environment, with fourteen production solutions spanning industry verticals and enterprise value chains. The proprietary Plexus graph engine underpins the platform, distinguishing it from vendors assembling third-party APIs.
Target Audience
Primary customers are large enterprises across industries seeking AI solutions that deliver measurable financial outcomes, particularly organizations that have experienced failed AI initiatives or need production-grade systems with strong governance and ROI accountability.
Features
- Proprietary neurosymbolic platform built on the Plexus graph engine for grounded reasoning without black-box behavior
- Connects to existing enterprise systems and data sources with no rip-and-replace required
- Role-aware recommendation engine that surfaces next-best actions for specific users
- Human approval gates on every execution step to maintain governance and control
- Financial impact quantification with before-and-after measurement of business outcomes
- Deployment in the customer's own cloud environment for security and compliance
- Fourteen production solutions across industry verticals, combining deep tech with strategy consulting expertise