What VeraProbe does.
A detailed look at each capability — what it does, how it works, and why it matters to deal teams running due diligence under real constraints.
AI Request Generation
The data request list is the foundation of every due diligence exercise. Assembling one from scratch — or adapting a prior deal's list to a new industry, deal structure, and target profile — is tedious work that falls to junior analysts. It takes hours, and the result is only as good as the templates on hand.
VeraProbe generates comprehensive, industry-specific data request lists by analyzing your deal parameters: target company, industry vertical, transaction type, and any known risk areas. The system produces tailored requests that reflect the specificity an experienced analyst would bring — covering financial, legal, operational, tax, IP, and regulatory dimensions appropriate to the deal.
The output is a starting point, not a final product. Your team reviews, edits, and supplements the generated list before it goes to the sell-side. The value is in collapsing the initial assembly from hours to minutes and ensuring nothing obvious is missed because someone forgot to check the template library.
Document Ingestion Pipeline
Documents arrive in waves — PDFs of financial statements, Word files of employment agreements, Excel models, compliance certificates. Manually cataloguing each document against the request list is one of the least rewarding tasks in due diligence. It is also one of the most error-prone.
VeraProbe processes uploaded documents through an asynchronous pipeline. Each file is extracted into text, split into semantically meaningful chunks, and embedded into vector space for retrieval. The system then classifies each document against your active data request list, mapping what has been received to what was asked for.
Every stage of the pipeline — extraction, chunking, embedding, classification — is tracked as an individual processing job. If a PDF is corrupted or an Excel file has an unusual structure, the failure is isolated and surfaced. Nothing silently disappears. Your team sees exactly what was processed, what succeeded, and what needs manual attention.
Tracking & Status
The central question in any live due diligence process is deceptively simple: where do we stand? Which requests have been fulfilled? Which are partially addressed? Which have received nothing? In practice, answering this question requires someone to maintain a spreadsheet and manually reconcile document receipts against the request list — usually under time pressure and across multiple workstreams.
VeraProbe provides real-time status tracking across your entire request list. As documents are ingested and classified, completion status updates automatically. The deal dashboard shows gaps at a glance — not as a static report pulled once a week, but as a live view that reflects the current state of the data room.
This matters most in the final days before a deadline, when the team needs to know exactly which outstanding items to escalate. It also matters at the start, when setting priorities for follow-up requests. The tracking layer turns the data room from a document repository into a progress instrument.
Report Generation with Citations
The due diligence report is the deliverable that matters. It synthesizes weeks of document review into findings, risk assessments, and recommendations. Writing it is time-consuming, and the first draft is usually the hardest part — assembling the structure, pulling in relevant evidence, and making sure every material finding traces back to a source document.
VeraProbe generates draft report sections grounded in the documents your team has actually reviewed. Every finding cites specific passages from specific documents — not hallucinated references, but real text from the ingested data room. Red flags are identified and surfaced separately for prioritized review. The system does not replace analyst judgment; it handles the mechanical work of assembling a first draft from evidence.
Report sections are versioned. Your team can iterate on drafts, leave comments on individual sections, and track how the report evolves over the course of the engagement. The citation layer means reviewers can always trace a finding back to its source with a single click — which matters when a partner asks where a number came from.
VDR Exchange
Due diligence is not a one-way process. Buy-side teams send requests; sell-side teams respond with documents; follow-up questions generate additional rounds. Managing this exchange — especially when multiple workstreams are running in parallel across legal, financial, and operational tracks — requires structure.
VeraProbe supports formal exchange rounds within its virtual data room. Each round is a defined cycle of requests and responses between parties. Exchange templates allow firms to standardize their process across deals. Round reviews provide a structured mechanism for evaluating completeness and quality of responses before proceeding to the next stage.
The result is an auditable record of the entire exchange history — what was requested, what was provided, when, and by whom. This structure is particularly valuable in competitive processes or regulatory contexts where demonstrating the thoroughness of the diligence effort is itself a requirement.
Comparative Analysis
Individual deal diligence generates insight about one target. But firms that execute multiple transactions develop an institutional understanding of what "normal" looks like — typical risk profiles for an industry, common documentation gaps, recurring red flags. This knowledge usually lives in the heads of senior partners and is difficult to systematize.
VeraProbe's comparative analysis module allows cross-deal comparison. Patterns, benchmarks, and metrics can be analyzed across your deal portfolio or pipeline. Where one deal's data room had unusual gaps in environmental compliance, the system can surface whether that pattern appears in other deals in the same sector.
This is not a dashboard of vanity metrics. It is a tool for identifying structural patterns that inform how your firm approaches diligence on future transactions. The value compounds over time as more deals flow through the platform and the firm's institutional knowledge base deepens.
RBAC & Multi-Tenancy
Due diligence data is among the most sensitive information in any transaction. Deal materials are confidential by nature, often subject to non-disclosure agreements, and frequently contain material non-public information. The platform that handles this data must enforce strict access controls — not as an afterthought, but as a foundational design constraint.
VeraProbe implements a two-level permission system. At the organization level, users are assigned admin or member roles that govern access to firm-wide settings, templates, and user management. At the deal level, team members are assigned lead, analyst, or viewer roles that control what they can see and do within a specific transaction. These permissions are enforced at every layer of the application — from the API endpoints to the database queries themselves.
Multi-tenancy isolation is enforced at the database level through PostgreSQL row-level security policies. Every table carries an organization identifier, and every query is scoped to the requesting user's organization. There is no application-level filtering that a bug could bypass. One firm's data is architecturally invisible to another. Every permission-gated action — whether allowed or denied — is recorded in the audit log with the actor, resource, and timestamp.