DOBS AI is live · custom pricing · last verified 25 Oct 2026 · viability monitor

DOBS AI

DOBS AI

DOBS AI turns data rooms and ERPs into source-backed Quality of Earnings workbooks in hours, not weeks.

53/100MonitorCustom pricingContact Sales

If your deliverable is a Quality of Earnings workbook or a proof-of-cash and working-capital analysis, Dobs is worth a serious look — the AI-extracts/deterministic-code-calculates split is the part that survives partner review. Adoption by 10 of the top 100 CPA firms reads as a reference base, not a logo wall. It is narrow by design, so validate integration coverage for your own ERP version first.

Verdict generated

Verified 20d ago · liveness 53/100 · cite: rightaichoice.com/tools/dobs-ai

Best for
  • CPA firms producing Quality of Earnings deliverables — one Top 100 firm reports workbook prep dropping from a week to a couple of hours
  • Transaction advisory services (TAS) teams running proof of cash, quality of revenue, and net working capital analyses
  • Private equity funds doing pre-LOI screens, QoE, and portfolio-level visibility
  • Enterprise SOX, internal audit, and AP control teams auditing millions of documents and transactions monthly
Not ideal for
  • Individuals managing personal budgets or personal finance
  • Analysts needing real-time market data, trading workflows, or live quotes
  • Teams whose documents are non-financial — marketing copy, image datasets, contracts outside a deal context
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IntermediateFor a CPA or TAS team, budget a few days: connect the data room or ERP, index and validate the chart-of-accounts mappings on one real deal, then review the first workbook. PE associates screening a target can get a first automated read within a day of uploading statements. Enterprise SOX teams should allow a longer cycle to validate ERP extraction against a closed testing period before runningWebNo public APIVerified 20d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Intermediate
For a CPA or TAS team, budget a few days: connect the data room or ERP, index and validate the chart-of-accounts mappings on one real deal, then review the first workbook. PE associates screening a target can get a first automated read within a day of uploading statements. Enterprise SOX teams should allow a longer cycle to validate ERP extraction against a closed testing period before running
Runs on
Web
No public API · 4 integrations
Who it's for
Transaction advisory manager at a mid-market CPA firmPrivate equity associate running a pre-LOI screenEnterprise internal audit lead running SOX and AP controls
Live sentiment
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Skip it if

Skip DOBS AI if your work is real-time market analysis or general document processing rather than source-backed diligence, audit, tax, and close deliverables.

Skip-it-if note generated
The 30-second take
Biggest gripe

Team-wide adoption means seat costs scale with every reviewer who needs to leave feedback or open a workbook, not just the analysts doing the extraction.

Price reality

Nothing on the public site describes a plan structure, so there is no published figure to benchmark against. Compare against general-purpose spreadsheet and document AI tools when scoping budget: those cost less per seat but leave the diligence-specific work — proof of cash, quality of revenue, source-linked workbooks — to your team to build. DOBS prices as a specialist diligence platform, so the comparison that matters is a loaded hour of analyst data prep, not a per-seat software line.

Generated

In short

DOBS AI — DOBS AI turns data rooms and ERPs into source-backed Quality of Earnings workbooks in hours, not weeks. Best for CPA firms producing Quality of Earnings deliverables — one Top 100 firm reports workbook prep dropping from a week to a couple of hours, Transaction advisory services (TAS) teams running proof of cash, quality of revenue, and net working capital analyses, Private equity funds doing pre-LOI screens, QoE, and portfolio-level visibility. Pricing is on request (custom quotes).

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What is DOBS AI?

DOBS AI — DOBS AI turns data rooms and ERPs into source-backed Quality of Earnings workbooks in hours, not weeks. Best for CPA firms producing Quality of Earnings deliverables — one Top 100 firm reports workbook prep dropping from a week to a couple of hours, Transaction advisory services (TAS) teams running proof of cash, quality of revenue, and net working capital analyses, Private equity funds doing pre-LOI screens, QoE, and portfolio-level visibility. Pricing is on request (custom quotes).

Contact SalesIntermediateNo APIWeb

DOBS AI is an AI financial due diligence platform that turns raw financial data into source-backed, review-ready work across diligence, audit, tax, and close. It targets teams whose deliverable is a number someone senior has to defend: CPA firms, transaction advisory services groups, private equity funds running pre-LOI screens, fractional CFOs building client reporting and board packs, and enterprise SOX, overpayment-recovery, and AP-control functions. Ingestion is the entry point. Point the agent at a data room or connect an ERP — QuickBooks, Xero, NetSuite, and Sage are documented — and it indexes the files, extracts figures from PDFs, tax returns, general ledgers, bank statements, and payroll files, then flags what's missing. It normalizes the chart of accounts, maps multiple entities per deal, and runs the standard analyses: proof of cash, quality of revenue, payroll, customer concentration, and net working capital. Modules extend into lease abstraction, CAM reconciliation, invoice QA, and pay application review. What separates Dobs from extraction-only tools is dual-path verification: AI extracts, deterministic code calculates, and the two paths reconcile. The vendor reports 99%+ verified match accuracy across millions of GL lines, 20+ bank accounts, and multi-entity engagements, and every number in the output workbook links back to its source document. Iteration stays in-platform — your team leaves feedback and the agent regenerates workbooks plus PDF or PowerPoint output without re-uploading source data. SOC 2 Type I compliance and client data isolation are part of the pitch. Positioned against generic document-extraction tools and Excel-plus-junior-team workflows, Dobs is narrow by design: it does financial due diligence deeply rather than acting as a general-purpose assistant. Confirm ERP connector coverage against your own instance and version before committing.

Key features

  • AI extraction from PDFs, tax returns, general ledgers, bank statements, and payroll files
  • Agent indexes a full data room and flags missing documents
  • Dual-path verification: AI extraction plus deterministic code calculation
  • 99%+ verified match accuracy reported by the vendor
  • Every number in the output workbook links to its source document
  • Chart-of-accounts normalization across entities
  • Multiple entities mapped per deal
  • Standard analyses: proof of cash, quality of revenue, payroll, customer concentration, net working capital
  • Quality of revenue built and flagged for review on healthcare deals
  • Feedback loop regenerates workbooks without re-uploading source data
  • Report export to PDF and PowerPoint in the firm's own format
  • One-click ERP connections (QuickBooks, Xero, NetSuite, Sage)
  • Direct file upload in any format alongside ERP connections
  • Handles millions of GL lines, 20+ bank accounts, and multi-entity deals
  • Use-case modules for lease abstraction, CAM reconciliation, invoice QA, and pay application review

Behind the verdict

The pitch that lands is the split between extraction and calculation. Most AI tools in financial due diligence stop at pulling numbers out of a PDF; Dobs runs a deterministic second path and reconciles the two. That is the difference between a draft a partner rejects and one they can sign. We'd reach for this when the deliverable is a Quality of Earnings workbook, a proof of cash, or a net working capital analysis and the current process is spreadsheets plus a junior team on tie-outs. Customer quotes on the vendor page report QoE workbook prep dropping from a week to a couple of hours, and a healthcare deal where quality of revenue went from half the engagement to an automated build the analyst reviews. Where it bites: the value depends on connector coverage matching your actual ERP instance and version. Dobs documents QuickBooks, Xero, NetSuite, and Sage — if you run something else, plan a direct file upload workflow instead. This is also not an origination or deal-sourcing tool, and it won't replace a general-purpose AI assistant for non-financial work. Compared to contract-review and generic document-extraction platforms, Dobs trades breadth for depth. A tool that ingests any document will happily handle your marketing copy; Dobs is built for financial statements, GLs, and tax returns and does relatively little outside them. Pick per engagement type, not per company. The closest alternative for most buyers is the status quo — Excel plus manual sampling. Dobs' founder makes the case that manual sampling leaves overstated earnings hidden below materiality thresholds, and that's the gap the deterministic verification path is aimed at. My practical caveat: get a scoped pilot on a real historical deal before signing. Test the outputs against a workbook your team

Limitations

  • DOBS AI is deliberately narrow: it is built for financial diligence, audit, tax, and close work, and it is not a general data-analysis or document tool.
  • Its publicly described ERP coverage is QuickBooks, Xero, NetSuite, and Sage — if your clients run systems outside that set, confirm support before standardizing on it.
  • The 99%+ accuracy figure is vendor-reported and tested against engagements described by the vendor, so treat a pilot on one of your own closed deals as the real proof.
  • All published data-protection claims (SOC 2 Type I, client data isolated, no training on client data) come from the vendor site.
  • The scope of use-case modules — lease abstraction, CAM reconciliation, invoice QA, pay application review — is stated at a high level, with no public detail on how each is configured.

as of 2026-10-08

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Is DOBS AI still active?

DOBS AI is live · custom pricing · last verified 25 Oct 2026 · viability monitor.

Viability score

53/100
Monitor

How well maintained and how widely used is DOBS AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
not measured
Site health
95
User sentiment
50
What the vendor publishes
20

Last calculated: November 2026

How we score →

What do users say about DOBS AI?

How we verified this

Every listed fact about DOBS AI — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.

Verification history

We have re-verified DOBS AI 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed our verdict, description
  2. — changed description, summary, who should skip it, who it suits, features, our verdict
  3. — changed our verdict, who it suits, description, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, setup time, summary, use cases
  4. — changed SSL certificate
  5. — changed summary, description, who should skip it, who it suits, our verdict, features, integrations
  6. — changed setup time, pricing fit, hidden costs, who should skip it, switching in, switching out

Showing the 6 most recent of 11 verification passes.

Free to cite with attribution — this page re-verifies continuously.

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How much does DOBS AI cost in 2026?

DOBS AI: Pricing is on request (custom quotes). Pricing last verified 25 Oct 2026.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Team-wide adoption means seat costs scale with every reviewer who needs to leave feedback or open a workbook, not just the analysts doing the extraction.
  • Heavy deal volume multiplies the platform cost across concurrent engagements, so model pricing against your busiest quarter rather than a single pilot.
  • If your clients run ERPs outside QuickBooks, Xero, NetSuite, and Sage, you may carry internal data-preparation work the platform would otherwise absorb.
  • Piloting on one closed engagement understates the effort of standardizing your firm's report formats and mappings across every engagement template.

Where the pricing makes sense

The company stage and team size where DOBS AI's pricing actually pencils out — and where peers do it cheaper.

Nothing on the public site describes a plan structure, so there is no published figure to benchmark against. Compare against general-purpose spreadsheet and document AI tools when scoping budget: those cost less per seat but leave the diligence-specific work — proof of cash, quality of revenue, source-linked workbooks — to your team to build. DOBS prices as a specialist diligence platform, so the comparison that matters is a loaded hour of analyst data prep, not a per-seat software line.

Hidden-cost and price-fit notes generated

Has DOBS AI's pricing changed?

No plan price for DOBS AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick DOBS AI?

Pick DOBS AI if you are CPA firms producing Quality of Earnings deliverables — one Top 100 firm reports workbook prep dropping from a week to a couple of hours, Transaction advisory services (TAS) teams running proof of cash, quality of revenue, and net working capital analyses, Private equity funds doing pre-LOI screens, QoE, and portfolio-level visibility, Enterprise SOX, internal audit, and AP control teams auditing millions of documents and transactions monthly.

Look elsewhere if you are Individuals managing personal budgets or personal finance, Analysts needing real-time market data, trading workflows, or live quotes, Teams whose documents are non-financial — marketing copy, image datasets, contracts outside a deal context, Buyers looking for a general-purpose AI assistant or a deal-sourcing/origination tool.

Skip it if Skip DOBS AI if your work is real-time market analysis or general document processing rather than source-backed diligence, audit, tax, and close deliverables.

Generated

Real-world workflow fit

Concrete scenarios for the personas DOBS AI actually fits — and what changes day-one when you adopt it.

Transaction advisory manager at a mid-market CPA firm

A new sell-side QoE engagement lands with three years of financials spread across a data room of PDFs. You connect the data room and the target's QuickBooks, let the agent index and flag missing documents, then review the extracted chart-of-accounts mappings with their confidence scores before running proof of cash and net working capital.

Outcome: First-pass workbook is ready in hours instead of days, and you spend your time on the quality-of-revenue questions rather than tie-outs.

Private equity associate running a pre-LOI screen

You need a fast read on a target before committing to a letter of intent. Upload the historical statements the seller provided, let DOBS normalize and map entities, and use the automated analyses to see where earnings quality is soft.

Outcome: A defensible pre-LOI view with every figure traceable, so you can decide whether to spend on full diligence.

Enterprise internal audit lead running SOX and AP controls

Monthly testing means millions of transactions across multiple entities and more than 20 bank accounts. You connect the ERP, let DOBS extract and verify, then route exceptions to the team for review and overpayment recovery.

Outcome: Testing runs at a fraction of the headcount and recovered overpayments show up as a measurable return.

Workflow scenarios generated

Use cases

Setup time & first value

How long it actually takes to get something useful out of DOBS AI — broken out by persona, not the marketing-page minute.

For a CPA or TAS team, budget a few days: connect the data room or ERP, index and validate the chart-of-accounts mappings on one real deal, then review the first workbook. PE associates screening a target can get a first automated read within a day of uploading statements. Enterprise SOX teams should allow a longer cycle to validate ERP extraction against a closed testing period before running

Switching to or from DOBS AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Excel-based QoE models: connect the data room or ERP, rebuild the standard analyses (proof of cash, net working capital, quality of revenue) in DOBS, and keep your workbook format via PDF or PowerPoint export.
  • →From manual data-room review: let the agent index the data room and flag missing documents instead of running checklist tie-outs by hand.
Migrating out
  • ↗To a general spreadsheet and document AI stack: export the workbooks and reports, then rebuild the diligence logic manually, since those tools will not reproduce the source-linked traceability.
  • ↗To manual diligence: retain the exported PDF and PowerPoint reports as your final work product and treat DOBS as a one-engagement pilot rather than a standard process.

Tutorials & Learning

YouTube returned 4 videos for “DOBS AI”, and we withheld 4: 4 could not be judged, because “DOBS AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about DOBS AI.

Official links

What are the best DOBS AI alternatives?

The closest alternatives to DOBS AI we list are Definite, SQLBot and Julius AI. Ranked by direct product-type match, not category overlap.

Closest alternatives to DOBS AI
AlternativePricingStarts atLast verified
DefiniteFreemiumPricing not published—
SQLBotFreeFree—
Julius AIFreemiumPricing not published—

Alternatives to DOBS AI

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Definite

Definite

Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi.

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SQLBot

SQLBot

SQLBot turns plain-language questions into SQL, answers and charts over your own MySQL or PostgreSQL database — open source and self-hosted.

FreeTry
Julius AI

Julius AI

Julius AI turns plain-English questions about your CSV, Excel, or Postgres data into charts, statistical tests, and regression models.

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Tools that pair well with DOBS AI

Common stack mates teams adopt alongside DOBS AI, with the specific reason each pairing earns its keep.

DOBS AI vs its closest rival

DOBS AI's closest head-to-head is with Screenplayiq.

Our DOBS AI vs Screenplayiq verdict written Jul 2, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

Frequently asked questions

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