Trusted AI teammates that learn from every deal

OloLand gives private-equity deal teams AI analysts whose work can be checked. Every figure links to its source, every assumption is stated, and every open question stays on the record.

Project Cedar/Deal room42 documents indexed

You

Is the FY2024 adjusted EBITDA of $7.5M supported?

Deal lead

Partly. $7.0M is supported and $0.5M is not.

Known1

Reported EBITDA of $6.1M ties to the audited FY2024 income statement.

Inferred

Management adds back $1.4M to reach $7.5M. Schedules support $0.9M of it.

Unresolved

$0.5M of consulting fees labelled one-time also appear in FY2022 and FY2023. No support has been provided.2

Added to open questions: support for the $0.5M consulting add-back4
Management presentation.pdfp. 42 of 68

Adjusted EBITDA bridge

FY2024, $ millions

Reported EBITDA6.1
Owner compensation0.6
Facility relocation0.3
Consulting fees, one-time30.5
Adjusted EBITDA7.5

1Each statement is marked known, inferred or unresolved.

2A citation opens the page it came from. Select 1, 2 or 3 in the answer to try it.

3The passage the answer relies on is highlighted.

4What cannot be supported goes onto the deal record.

The deal room, with illustrative data for a fictional company.1

The model is the analyst. OloLand is the record your team checks the analysis against, challenges, and stands behind at investment committee.

Trust

Every figure has a source you can open.

Answers cite the page they came from. Citations are checked before an answer is delivered, and one that cannot be resolved is withheld or marked unverified. When two documents disagree, both values are kept and the conflict goes to a reviewer with a recommendation by source rank. Valuations run on deterministic engines.

The system of record

Reconciliation/CIM against audited statementsFY2024, $ millions
MetricCIMAuditedDifferenceStatus
Revenue48.247.60.6In review
Recommended: $47.6M from the audited statements, the higher-ranked source. Both values are kept until a reviewer decides.
EBITDA6.16.10.0Agrees
Capital expenditure1.11.10.0Agrees
Net debt12.312.30.0Agrees

Judgment

The deal’s risks and assumptions, stated in the open.

A structured taxonomy of 300+ leaf-level checks turns the data room into a risk register with findings linked to evidence. Each assumption carries a status and a history of who changed it. Approval stays a human action, and an IC package cannot be approved while a high-severity assumption is open.

The risk engine

Project Cedar/Risks and assumptions14 risks, 9 assumptions
ItemEvidenceSeverityStatus
Risks
Top customer is 31% of revenueCustomer schedule, p. 3HighOpen
Consulting fees labelled one-time recur in three yearsManagement presentation, p. 42HighOpen
Year-end inventory count was not observedAudit report, p. 2MediumOpen
Assumptions
FY2025 revenue grows 8%Signed customer contractsMediumVerified
Gross margin holds at 34%Management forecast onlyMediumUnverified
$0.5M consulting add-back is non-recurringNo support providedHighUnverified
IC approval is blocked. One high-severity assumption is unverified.

Learning

Each decision becomes part of your firm’s record.

The IC decision is recorded with the forecast behind it, and actuals are scored against that forecast when they arrive. Your firm’s playbook rules and risk policy run on every new deal. The record stays in your workspace and is never pooled with another firm’s.

Institutional memory

Firm record/Decisions and outcomes
DealIC decisionYear-1 EBITDA at approvalActualVariance
Project AlderApproved$9.0M$8.4M-6.7%
Project BirchApproved$5.2M$5.5M+5.8%
Project CedarIn diligencependingn/an/a
Playbook rules applied to Project Cedar
Add-backs above 15% of adjusted EBITDA18.7%Flagged
Single customer above 30% of revenue31%Flagged

Published results, with their limits

Two evaluations, each with its methodology, cohort and per-case results on a public page. Both are small, and both say so.

10of102

Restatement Recall v1.1

Eligible SEC restatements flagged from the pre-disclosure 10-K alone, using the Beneish M-Score, the EBITDA bridge and the structured risk taxonomy.

Per-case results and methodology

2.7×and11.8×3

Vals AI Finance Agent v1.1, a third-party benchmark

Less run-to-run variance with OloLand’s deterministic verifier tools, on Claude Opus 4.7 and Gemini 3.1 Pro respectively.

Per-category results and methodology

Security and governance

Stated as what the product does today. What is still in progress is marked that way.

Security in detailTrust center
Encrypted in transit and at rest
Files and records are hosted on Google Cloud in the United States and encrypted in transit and at rest with Google-managed keys.
One workspace, one tenant
Every deal, document, calculation, and approval is scoped to your company workspace. Agent surfaces reach it over the same company-scoped rail.
Not used for learning unless you opt in
Nothing from your workspace enters a learning dataset unless a workspace admin opts in. Opted-in datasets stay per workspace and are never pooled; cross-firm model training is fail-closed.
Approvals stay human
Material approvals are human actions. The agent-facing rail cannot self-approve governed artifacts, whichever model or surface did the work.
Agent runs are on the record
Runs are recorded with provider, served model, tools called, and verdicts, and can be inspected span by span; harness runs can be replayed. A regulator export can be requested for a deal.
SOC 2 Type II — in progress4
The audit is in progress with Vanta. Control status is published on the trust center; nothing here is claimed as certified until the report is issued.

Built first for lower-middle-market private equity. There are also pages for independent sponsors, search funds, family offices, private credit and corporate development.

Questions teams ask first

What does OloLand do?

OloLand is an intelligence workspace for private-equity deal teams. It connects evidence, supported analytical workflows, assumptions, and review decisions so the team can inspect the basis of its investment judgment.

Does OloLand make the investment decision?

Your team owns the investment judgment. OloLand supports the work and preserves the record; governed approvals require human action.

Does every answer have complete evidence?

Evidence coverage depends on the available documents and the workflow. Review the sources and any missing information. A calculation or citation check does not establish that a conclusion is complete or correct.

Do we need to adopt the whole platform to evaluate it?

Begin with one supported workflow and a representative case. Agree on what to measure, who reviews it, and when to decide whether the evaluation warrants a next step.

Can we start without sharing a live deal?

Yes. Start with the checklist and an illustrative example. Before using confidential materials, confirm the permitted data, workspace access, and applicable terms.

Is the diagnostic an investment recommendation?

No. It helps identify gaps in a team’s evidence and review process. It does not assess a deal’s merits or replace professional diligence.

Take the six-question IC readiness check

See it on a deal like yours

Notes and sources

  1. Product screens on this page show illustrative data for a fictional company, Project Cedar. They are not customer data.
  2. Restatement Recall v1.1: 10 of 10 eligible cases flagged. n=10, 95% confidence interval 72% to 100%, single seed. Methodology.
  3. Vals AI Finance Agent v1.1, public split: 50 of 537 questions, 3 seeds per condition, same harness, tools and judge. Variance fell 2.7× on Claude Opus 4.7 and 11.8× on Gemini 3.1 Pro; mean accuracy +3.4pt and +1.0pt. Methodology.
  4. The SOC 2 Type II audit is in progress. Live control status is on the trust center.

Optional analytics

Help us improve the acquisition experience.

With your permission, Google Analytics, Google Ads, Cloudflare, and PostHog measure page visits and conversion paths. PostHog autocapture and session recording stay off. We do not send form contents, uploaded documents, email addresses, or phone numbers in behavioral events. This choice does not enable personalized ads or enhanced-conversion user data. Read our Privacy Policy.