Private Equity
Accelerate data room review and extract deal-critical intelligence securely. Turn weeks of manual diligence into hours.
Why Dotnitron? We build applied AI workflows specifically for regulated, high-trust industries. We understand that in your sector, hallucinating a data point or leaking confidential documents is a career-ending event.
Workflow Engineering
During live deals, associates are overwhelmed by unstructured VDRs containing thousands of PDFs. Manually extracting financial covenants, capitalization tables, and change-of-control clauses takes weeks. We build automated extraction pipelines that normalize these documents and structure the data in hours.
We implement workflows using highly tuned LLMs (like Claude 3.5 Sonnet) combined with specialized OCR to parse Confidential Information Memorandums (CIMs) and Limited Partnership Agreements (LPAs). The system extracts 100+ standard data points into a deterministic JSON schema, ready for Excel modeling.
Instead of open-ended search, we codify your firm's specific risk playbook into the AI pipeline. The system cross-references target company contracts against your standard indemnification and liability terms, surfacing deviations and missing clauses with exact source citations for legal review.
Deal data is highly confidential. We deploy the entire diligence workflow—including open-source LLM inference (e.g., Llama 3 on vLLM)—inside a dedicated, tenant-isolated VPC. No target company data is ever sent to a multi-tenant SaaS provider or used for model training.
FAQ
No. AI replaces the manual extraction of data from documents. Analysts review the AI's source-cited outputs to make faster, better investment decisions.
Talk to an applied AI team that ships secure, compliant software for regulated enterprises.