XTRACTIFY builds ENNO, an enterprise AI operating layer that connects, governs, and scales AI across existing systems. Its Smart Payable module automates end-to-end invoice workflows with AI-driven reconciliation, 3-way matching, and smart payment orchestration, processing over 320,000 invoices monthly. The platform also includes an AI Gateway with Smart Routing, Privacy Shield, and Guardrails for secure, compliant AI deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to adopt AI safely and efficiently across their existing systems due to concerns about data privacy, regulatory compliance, and operational control. Financial operations remain burdened by manual invoice processing, reconciliation complexity, and payment orchestration risks, leading to inefficiencies and higher operational costs.
Solution
XTRACTIFY provides ENNO, an enterprise AI operating layer that securely connects, governs, and scales AI across existing systems. ENNO Finance automates mission-critical financial workflows, including Accounts Payable, Accounts Receivable, and AI Account Executive functions. The platform's Smart Payable module streamlines end-to-end payable operations through AI-driven reconciliation, 3-way matching, and smart payment orchestration, reducing manual processing and operational risk. An AI Gateway complements this by routing queries between cloud and on-premise systems, anonymizing sensitive data before LLM interaction, and enforcing real-time corporate policies and compliance standards.
Target Audience
Primary customers are enterprise finance departments and IT leaders seeking to automate accounts payable and receivable workflows while maintaining strict data governance and compliance standards.
Features
- Smart Payable automates invoice workflows with AI-driven reconciliation, 3-way matching, and smart payment execution, processing over 320K invoices per month
- Smart Receivable accelerates reconciliation across cash and non-cash transactions
- AI Gateway Smart Routing orchestrates hybrid AI environments, dynamically optimizing LLM token costs and reducing latency
- Privacy Shield anonymizes proprietary corporate data before LLM interaction to maintain regulatory compliance and data privacy
- Guardrails enforce real-time corporate policies, compliance standards, and risk-mitigation protocols across all AI systems
- No system change required for deployment, with fully autonomous operation and 100% data privacy protection