Technology · HOLD.co portfolio
VDR.ai — the AI virtual data room built for modern deal teams.
VDR.ai combines a secure virtual data room with agentic due diligence, cross-document reconciliation, clean team workflows, and private AI controls — so buyers, sellers, sponsors, lenders, and advisors move from document chaos to decision-ready outputs.
A HOLD.co company
Built inside the portfolio it was built for.
VDR.ai is a wholly owned technology subsidiary of HOLD.co, sitting alongside DEV.co, LLM.co, Automatic.co, SEC.co, and Search.co in our technology segment — and directly adjacent to the finance segment that gave rise to it.
The product started as internal infrastructure. HOLD.co and its advisory brands — InvestmentBank.com, MergersAndAcquisitions.net, and PrivateEquityInvestor.com — run acquisitions, diligence, and capital raises continuously, and the tooling available for that work stopped at document storage. VDR.ai was built to close the gap between a file repository and an actual diligence workspace, then hardened into a commercial platform.
That origin is the durable advantage: every workflow in VDR.ai was specified by people closing transactions, and it is exercised on live deals inside the portfolio before it ships to clients.
The problem
A data room tells you a file was opened. It does not tell you what the file means.
Diligence is where transactions slow down, cost money, and go wrong. The category built for it never moved past secure storage.
Storage is not diligence
Traditional data rooms report who opened which file. They do not structure the review, surface what is missing, or organize the outputs a deal team actually has to produce.
Manual review does not scale
A single mid-market transaction can carry thousands of documents. Human-only review is slow, expensive, and inconsistent across reviewers and workstreams.
Deal files disagree with each other
The model, the contracts, the schedules, the statements, and the tax returns rarely reconcile. The mismatches are where the value — and the risk — hides.
Sensitive data needs controlled review
Competitively sensitive and regulated information has to be reviewable without being fully disclosed, with an auditable record of who saw what.
The product
Six modules on one permissioned spine.
Everything shares a single authorization model, a single AI orchestrator with pre-run cost estimates and approval gates, and a single citation layer — so an output can always be traced back to the source page it came from.
01
Virtual data room
Upload, organize, permission, watermark, track, and share confidential transaction documents. Nested folders with inherited policies, malware scanning that fails closed, Office-to-PDF preview, approval-gated downloads, external guest access, and per-document view-duration tracking.
02
AI diligence agents
Task-specific agents read across the entire file for legal, financial, tax, HR, IP, debt, real estate, insurance, and regulatory review — each finding tied back to a citation span in the underlying source document.
03
Cross-document reconciliation
Automated comparison across models, contracts, statements, schedules, tax returns, customer lists, and disclosures, flagging the mismatches a reviewer would otherwise find in week three.
04
Clean team clean room
Restrict competitively sensitive information while permitting AI-mediated, aggregate-only insight — with attestation, approval queues before outputs are shared, and an exportable compliance record.
05
Private AI controls
Configure AI review against zero-retention, private cloud, sovereign residency, or on-premise requirements, with provider and model allowlists that fail closed and a per-workspace AI policy.
06
Deal outputs
Quality-of-earnings workbooks, valuations, CIMs and teasers, IC memos, lender packages, risk registers, diligence summaries, Q&A responses, and closing checklists — exportable to HTML, XLSX, DOCX, and PDF.
AI diligence agents
Task-specific agents, not a chat box over a folder.
Each agent is scoped to one diligence workstream, runs as a durable map-reduce job across the full document set, and returns findings with span-level citations into the source file. A representative slice of the catalog:
Covenant summary
Loan terms, restricted payments, consent requirements, defaults, guarantees, change-of-control provisions.
Change of control
Assignment restrictions, consent triggers, termination rights, acceleration clauses, counterparty approvals.
IP liability
IP ownership, contractor assignment language, open-source exposure, licensing restrictions, infringement risk.
Revenue quality
Customer contracts against revenue schedules, AR aging, churn, concentration, and recurring-revenue claims.
Lease abstraction
Rent, renewal options, assignment restrictions, CAM obligations, landlord consent requirements.
HR & benefits
Employee census, compensation, benefits, contractor classification, offer letters, severance obligations.
Litigation
Pending claims, demand letters, settlement agreements, threatened disputes, contingent liabilities.
Tax
Tax return data, nexus issues, payroll and sales tax exposure, unusual adjustments.
Insurance
Coverage, exclusions, claims history, policy limits, and gaps.
Cyber & privacy
Privacy policies, DPAs, SOC reports, cyber insurance, breach history, regulatory exposure.
Deployment
Your data, on your terms.
Regulated buyers, sovereign funds, and antitrust-sensitive transactions each have different constraints. VDR.ai is deployable against all of them.
Cloud
Standard secure hosted environment for modern deal teams.
Private cloud
Dedicated tenant, isolated storage, and a private processing environment.
Sovereign AI
Data residency and regional processing controls for regulated or jurisdiction-sensitive transactions.
On-premise
Deployed inside the client's own infrastructure for the most sensitive enterprise use cases.
Security & governance
Access control is the architecture, not a setting.
Confidential transaction data sets the floor for how the platform is built. Permissions are enforced at every layer — including before the model ever sees a document.
Who it serves
Both sides of the table.
Sell-side preparation, buy-side diligence, lender review, and advisory workstreams all run in the same room with different permissions.
Our thesis
Diligence is the last major transaction workflow still done by hand. The firms that industrialize it will underwrite more deals, more accurately, with smaller teams — and VDR.ai is the operating layer that gets them there.
See VDR.ai on a live deal file.
Walk through the data room, run a diligence agent against your own documents, and review the outputs — or talk to the HOLD.co team about the platform.
Interested in the platform or the portfolio?
Whether you want to run a transaction on VDR.ai or you're an owner, operator, or investor exploring a deal with HOLD.co, start a confidential conversation.