Generas turns private credit monitoring into a traceable decision record. Every obligation tracked. Every review, correction, and escalation preserved. A record your team can act on, audit, and defend.
Generas gives you a structured view of every position and every obligation across your portfolio. Not just what the terms are. How your team is tracking them, reviewing them, and acting on them. Current, sourced, and defensible.
Live dashboard running on 45 synthetic private credit positions. Request a demo with your own documents →
Extraction tools pull covenants out of documents. What happens next — who reviewed a finding, what they decided, why a flag was escalated or held — often stays invisible. Generas records the full decision path, so nothing material happens off the record.
Generas works with your existing document storage. No migration. No integration project.
Every finding is tied to its source and reviewed by a human before it enters the record. Not a summary. A verifiable record, sourced to the document and confirmed by your team.
Decision outputs
Different reviewers work differently. Some escalate everything, some too little. Generas gives every finding the same workflow while preserving each reviewer's judgment. Monitoring becomes consistent across your team and repeatable over time.
Every monitoring decision contains knowledge that can improve future decisions. Most firms lose that knowledge over time. Generas keeps it. The document. The review. The decision. The rationale. The outcome. Every review becomes part of your firm's institutional memory — a reusable record that strengthens future monitoring, portfolio management, and origination.
Every finding is reviewed and approved by your team before it enters the record. AI accelerates document analysis. Your team remains responsible for every investment decision.
Every verified decision contributes to a growing measurement framework for monitoring quality, portfolio complexity, and decision consistency.
Generas is architected for the requirements of regulated credit investors. The design includes per-tenant data isolation and encryption, a tamper-evident audit trail, and AI infrastructure built on zero-retention terms, so your documents are not used to train shared models. The platform is being built toward SOC 2, with enterprise cloud architecture following AWS best practices.
We are working with a small group of design partners to configure Generas AI for their specific document structure and monitoring workflow. If you manage a private credit portfolio and want to be part of the first cohort, we want to hear from you.
Generas AI is offered as a tailored pilot engagement. We work directly with your team to configure the product for your document structure and monitoring workflow.
Or email us directly at hello@generas.ai
Generas AI is built by practitioners with decades of experience across private credit, quantitative risk modeling, enterprise data infrastructure, and applied AI.
The team has built and scaled analytical platforms used by financial institutions worldwide — including risk models covering private companies, public corporations, and sovereign entities, and liquidity and market risk platforms at a leading global financial institution.
Our technical infrastructure follows enterprise cloud architecture and AWS best practices, ensuring the platform is built to institutional security and scalability standards from day one.
Harvard Business School executive training in leadership, private equity and venture capital, and agentic AI informs how we think about product, market, and scale.
More about the team will be shared as the company evolves.
We will run a live demo using sample documents, redacted deal files, or synthetic examples. We handle the setup. No commitment.
