Auric provides an AI‑powered credit analyst and underwriting platform that automates quantitative and credit workflows for institutional investors. The solution delivers up to 90% cost reduction and evaluates opportunities ten times faster while maintaining basis‑point accuracy and full workflow transparency. It supports portfolio management, deal diligence, pricing intelligence, and legal covenant analysis, integrating internal and external data to generate decision‑ready insights.
Funding
Funding not disclosed
Founders
Product
Problem
Credit underwriting and portfolio monitoring rely on manual, spreadsheet‑based processes that are time‑intensive, costly, and prone to inconsistencies. Limited automation hampers the ability of institutions to evaluate a large volume of deals quickly while maintaining rigorous risk standards. The lack of transparent, quantitative workflows also creates challenges in auditability and regulatory compliance.
Solution
Auric delivers an institutional‑grade AI credit analyst that automates quantitative underwriting and related credit workflows. The platform applies machine‑learning models trained on over 25 years of deal data to generate basis‑point‑level accuracy and hallucination‑resistant screening results. By unifying internal and external credit data, it provides instant comparability, prioritization, and decision‑ready insights across the entire deal pipeline. Users can produce investment memos, price tape, and covenant analyses automatically, while the system logs every step to ensure full workflow transparency. The solution integrates with existing credit teams’ processes, enabling them to evaluate up to ten times more opportunities at a fraction of the traditional cost.
Target Audience
Primary customers are institutional credit teams, including private‑credit funds, banks, and asset‑management firms that require high‑throughput, accurate underwriting and portfolio surveillance. The platform also serves portfolio managers and risk analysts who need automated, data‑driven insights for large deal volumes.
Features
- AI‑driven quantitative underwriting that delivers basis‑point accuracy and reduces analysis costs by up to 90%
- Hallucination‑resistant screening to ensure reliable, bias‑controlled outputs
- Unified data and analytics layer that consolidates internal and external credit datasets for real‑time insights
- Automated generation of investment memos, pricing models, and forward‑flow intelligence
- Legal document and covenant intelligence that validates terms against cash‑flow projections and monitors compliance
- End‑to‑end workflow transparency with audit logs and instant comparability across deals