DiligenceVault Alternatives: Fund DDQs vs M&A Diligence

Executive Summary

The verdict in one sentence: DiligenceVault is a purpose-built platform with substantial documented functionality in its category — but its category is investment due diligence (allocators vetting fund managers), not transaction due diligence (acquirers vetting companies). A corporate development, strategy or M&A professional should buy DiligenceVault only if their remit genuinely includes selecting and monitoring external fund managers or answering institutional DDQs; for everything else — target sourcing, screening, deal diligence, investment memos and integration — the relevant alternatives are a different product class altogether, of which CorpDev.Ai, Midaxo and DealRoom are the leading purpose-built examples.

What this guide concludes

• DiligenceVault (founded 2014, Goldman Sachs Growth-backed, 250+ client teams, 20,000+ managers in its network) is a mature two-sided platform: Spark for allocators collecting DDQs and monitoring managers, Pulse for managers answering them, and DV Assist as a credit-metered AI layer that reached version 2.0 in July 2026 with agentic review workflows [1][3][5]. Published pricing starts at $1,000/month (Spark Digital) and $300/month (Pulse Core), with unlimited users on every plan [3].
• Its like-for-like rivals are Dasseti (closest specialist, 17,000+ managers in network), Nasdaq eVestment and Preqin (manager data and benchmarking), Dynamo and Backstop/ION (broader LP/GP operating platforms), and Canoe and Chronograph (post-investment fund data). Responsive and Loopio compete only on the manager-side response workflow [19][23][24][29][46][52].
• For a CorpDev buyer, the honest substitute set is different: CorpDev.Ai (AI-analyst-led research, sourcing, memos and an AI-native data room, $1,000–3,000/month published), Midaxo (governed end-to-end M&A lifecycle, ~$25k–150k/year), DealRoom (diligence-centric M&A OS from $1,250/month), Devensoft (integration-heavy), with DealCloud/Affinity for relationship-led origination, Grata/SourceScrub for target discovery and Datasite/Intralinks/Ansarada for transaction rooms [55][56][62][68][78].
• The single most useful lesson DiligenceVault teaches a CorpDev buyer is architectural: structured diligence data, a reusable institutional knowledge base, human-in-the-loop AI with audit trails, and pricing by scope rather than by seat. Demand the same four properties from whichever M&A platform you shortlist.

Disclosure. This comparison was published by CorpDev.Ai, one of the vendors compared. CorpDev.Ai is assessed against the same public evidence and on the same criteria as every other vendor, and its limitations — a short operating history and thin independent review coverage — are stated in Section 3.3 and the comparison tables. Buyers should treat every vendor claim, including CorpDev.Ai's, as a hypothesis to test in a live trial.

1. Start With the Right Question: What Kind of Diligence Are You Buying For?

"Due diligence software" is a label attached to two markets that barely touch. Getting this distinction right before opening a single vendor deck saves months of procurement effort and prevents the purchase of a capable product for a problem it was not designed to solve.

The two diligence markets

Why the confusion arises

Both markets are consolidating around the same three technology ideas — a structured knowledge base, AI-assisted document reading, and workflow with approvals — so vendor marketing converges on identical vocabulary: "AI-powered diligence", "single source of truth", "audit trail". DiligenceVault's July 2026 launch of DV Assist 2.0 talks about "agentic workflow automation" and a "Review Agent" [5]; DealRoom talks about "contract-term and risk extraction" and MCP connections to Claude and ChatGPT [64]; CorpDev.Ai talks about "DD agents" reading an "AI-native virtual data room" [55]. The technology stack is similar. The data model, the counterparties and the buying centre are not.

Where the two markets genuinely overlap

There are four situations in which a CorpDev, strategy or M&A professional legitimately has DiligenceVault on the shortlist:

1. Corporate venture capital or fund-of-funds programmes. A corporate that commits to external VC or PE funds is, for that activity, an allocator. The manager-selection and ongoing-monitoring workflow is exactly DiligenceVault Spark's domain [1].
2. Treasury or pension manager selection. Corporate treasury and in-house pension teams selecting external asset managers face the same DDQ and Form ADV oversight burden as any institutional investor [1][12].
3. Acquiring or being acquired by an asset manager. In an asset-management M&A process, the target's DDQ library and its history of allocator questions are a material diligence asset; the manager-side Pulse product is the system of record for that content [3].
4. Counterparty and vendor operational due diligence at scale. Where a corporate runs a repeatable ODD programme across dozens of financial counterparties, the questionnaire-collection model transfers reasonably well, though horizontal tools (Responsive, Loopio) or GRC platforms may fit equally.

Outside these four, a CorpDev buyer comparing DiligenceVault against a corporate development platform is comparing a well-made answer to a question they do not have.

2. DiligenceVault in Depth

Company profile

DiligenceVault was founded in 2014 by Monel Amin, a former Citigroup investment and risk professional, and remains founder-led [2][8]. Its only publicly documented institutional round is a Series A led by Goldman Sachs Growth Equity in October 2019; third-party databases estimate roughly $6 million raised in total, which should be read as indicative rather than confirmed [6][7]. The company reports 250+ client organisations, 20,000+ asset managers in its network, 100,000 platform users and activity in 150 countries [1]. An earlier ILPA vendor factsheet (2021) listed 6,500 GPs and 90 LPs, so the network has grown roughly threefold on the manager side in five years [9].

Two figures matter for a buyer's risk assessment. First, the 250+ figure is paying client teams; the 20,000+ figure is managers who respond through the platform, most of whom are not customers — network breadth is real, but revenue concentration sits with a few hundred allocators and managers [1]. Second, at an estimated ~$4 million ARR (2024, third-party estimate) the company is small relative to Nasdaq eVestment, Dynamo or ION-owned Backstop, which makes vendor-longevity and acquisition-risk clauses worth negotiating [7].

Product architecture: a two-sided network

DiligenceVault's structural advantage is that it sells to both sides of one transaction and lets the data flow between them.

The network effect is the moat. Every manager who completes a Blaze profile to satisfy one allocator makes the platform more valuable to the next allocator, and every allocator who standardises on Spark increases the pressure on managers to maintain their Pulse content. Neither Responsive nor Loopio, nor any CorpDev platform, has an equivalent two-sided dynamic [1][3].

DV Assist: the AI layer

DV Assist covers DDQ/RFP autofill, structured extraction from fund documents, document comparison, IC memo drafting, Form ADV Part II analysis, risk-signal identification, investor-letter drafting and SEC marketing-rule review [18]. Three design choices distinguish it from generic AI bolt-ons:

• Human-in-the-loop by default. Outputs are drafts routed to a reviewer, with source traceability and an audit trail; client data is isolated and not used to train foundation models [1][3].
• Governed prompts and institutional review criteria. DV Assist 2.0 (28 July 2026) added a governed Prompt Library, an integrated Review Agent, enterprise connectors and regulatory-monitoring workflows, with cited use cases such as surfacing illiquidity risk in offering documents, mapping filings to ESG assessments and reviewing LPAs for jurisdiction-specific rights [5].
• Consumption metering. AI is priced in credits consumed by autofill, extraction, memo generation and similar tasks; credits can be topped up. This is transparent but requires internal governance to avoid budget surprises on document-heavy programmes [3].

Pricing

DiligenceVault publishes list prices — rare in this market and a genuine buyer benefit. Every plan carries unlimited users; pricing scales with entities monitored, projects and AI credits, and includes implementation, migration and training [3].

Source: DiligenceVault pricing page [3]. Enterprise contracts, managed services and heavy AI usage will move actual contract value well above list.

Strengths a buyer should weigh

• Category-defining fit for institutional manager diligence. No other vendor combines allocator intake, manager response, network data and regulatory monitoring in one system [1].
• Unlimited users and included implementation remove the two biggest hidden-cost lines in enterprise software procurement [3].
• Momentum. Four product releases and three partnerships between June and August 2026 (Foresight Analytics, Channel Diligence, document intelligence engine, ADV expansion, DV Assist 2.0) indicate an active roadmap [5][11][12][13][14].
• Ecosystem integration with Bipsync research management and with the major consultant databases (eVestment, Callan, Wilshire, Albourne) reduces re-keying for managers [3][15].

Limits — especially for a CorpDev buyer

• Narrow market intelligence. For manager universe construction, peer benchmarking and fee data, allocators still pair it with eVestment or Preqin [24][35].
• Credit-metered AI rewards disciplined programmes and penalises exploratory ones; a team that wants to interrogate a 3,000-document data room freely will find the meter running fast [3].
• Scale and ownership risk. A ~$4 million ARR, founder-led company backed by a single disclosed institutional round is a plausible acquisition target for a data or fund-services group; buyers should secure data-export and change-of-control terms [7].
• Thin independent review coverage. Public G2/Capterra review volume is low relative to horizontal RFP tools, so reference calls carry more weight than usual.

3. The Alternatives Landscape

The alternatives fall into four clusters. Only the first is a like-for-like substitute for DiligenceVault; the second competes on one half of its functionality; the third and fourth are the product classes a CorpDev buyer is more likely to need.

3.1 Investment Due Diligence Specialists (Like-for-Like)

These are the vendors an allocator or manager would genuinely shortlist against DiligenceVault.

Dasseti (formerly Diligend) is the closest direct competitor: an institutional due-diligence and data-exchange platform whose Collect product gathers and compares manager and fund data, with adjacent ESG and RFP/DDQ modules and a network it puts at 17,000+ fund managers [19][20][23]. Pricing is quote-only and scales with fund and investor counts; nominal figures on review aggregators are not credible proxies for institutional contracts [21][22]. Dasseti's AI emphasises automated extraction and comparison. Relative to DiligenceVault, its product boundaries between Collect, RFP, ESG and research are less clearly unified, and buyers should test response-library depth, AI audit trails and data residency side by side. For an allocator, running both vendors through the same live DDQ is the only reliable tiebreaker.

Nasdaq eVestment is institutional investment intelligence first and diligence workflow second: manager databases, peer analytics, fee intelligence (Market Lens), consultant research management, APIs and data licensing [24][25][26][28]. It is the stronger choice for manager discovery, screening and benchmarking, and a weaker one for inbound questionnaire assignment, answer libraries and manager-side collaboration. Many allocators run eVestment and DiligenceVault together; DiligenceVault's Pulse even automates the manager's eVestment profile updates [3]. Pricing is enterprise data-licence based and quote-only.

Preqin (now part of BlackRock) plays the same complementary role for private markets: fund sourcing, track-record analysis, benchmarking and initial diligence across PE, VC, private debt, real estate, infrastructure and hedge funds [35]. Third-party procurement data places typical contracts around $25,000–81,000 a year with a median near $50,000 [36]. Preqin data is now also reachable through Rogo's Felix for AI-assisted manager screening [37]. It does not collect manager answers, route reviews or maintain an auditable questionnaire repository — so it complements rather than replaces DiligenceVault. Of all the vendors in this cluster, Preqin is the one a CorpDev team is most likely to already license, for fundraising and deal-flow intelligence rather than for DDQs.

Dynamo Software and Backstop Solutions (ION) are broader LP/GP operating platforms — CRM, fundraising, investor relations, research management, portfolio monitoring and reporting — in which DDQ handling is one module among many. Dynamo reports 1,000+ clients and has invested visibly in AI (the DynamoAI Research Agent classifies documents, converts PPMs and pitch decks into structured data, and drafts screening and IC memos) [29][32][33][34]. Backstop's ION ownership gives it distribution but its generative-AI story is less differentiated and must be validated module by module. Both are quote-only, implementation-heavy and better suited to institutions that want a system of record than to teams that want a focused DDQ exchange.

Canoe Intelligence and Chronograph sit downstream of manager selection. Canoe automates retrieval from 3,000+ GP and administrator portals and extracts capital calls, distributions, valuations, K-1s and holdings from fund documents, with intelligence spanning 44,000+ funds [46][47][49][50]. Chronograph provides private-capital portfolio monitoring, benchmarking and reporting over roughly $5.9 trillion of client invested capital, and in 2026 integrated its governed data with both OpenAI and Perplexity [52][53][54]; third-party estimates place contracts at $30,000–150,000 a year [51]. Neither is a questionnaire platform; both are natural complements to DiligenceVault once capital has been committed.

Sources: [19][23][24][29][32][35][36][46][49][51][52].

3.2 Horizontal RFP / DDQ Response Platforms

Responsive (formerly RFPIO) and Loopio compete with DiligenceVault's Pulse side only: they help an organisation answer inbound questionnaires — RFPs, security questionnaires, DDQs — from a governed content library with SME assignment, approvals and AI drafting [38][39][42]. They are industry-agnostic, which is both their strength and their limitation. A large asset manager whose proposal team also answers institutional-sales RFPs and vendor security questionnaires may prefer one horizontal tool; a manager whose questionnaire volume is overwhelmingly allocator DDQs will value DiligenceVault's ILPA/AIMA templates, Blaze profile distribution and consultant-database automation more [3][4].

Pricing is opaque in both cases. Market estimates place Responsive enterprise deployments at roughly $25,000+ a year with observed contract data spanning about $7,000–28,000 [40][41]; Loopio at approximately $14,000–75,000 a year, with the Foundations tier reported around $20,000 for ten seats [42][43][44][45]. Both are seat-based, which becomes expensive when a broad population of subject-matter experts must contribute — the exact scenario DiligenceVault's unlimited-user model is designed for [3].

For a CorpDev buyer these tools are relevant only in the sell-side edge case where a corporate itself must answer a buyer's extensive information request repeatedly (for example, a carve-out marketed to many bidders). Even then, a virtual data room's Q&A module normally does the job.

3.3 Corporate Development Operating Systems and AI Analysts

This is the cluster most readers of this guide should actually be evaluating. Four vendors build specifically for the corporate acquirer; they differ sharply in philosophy.

CorpDev.Ai

CorpDev.Ai positions itself as an "Integrated CorpDev Environment": an AI analyst agent, a Markdown-native document and slide editor, an AI-native data room with due-diligence agents, a zero-entry pipeline CRM fed from Microsoft 365 or Google Workspace, AI-generated market maps, semantic target sourcing over a 70M+ company firmographic database, and — at enterprise tier — financial modelling and "digital twin" models of a target's operations for diligence and integration planning [55]. The company routes work across several frontier models (Anthropic, OpenAI, Perplexity, Google) and also sells managed services in which its own M&A team runs research, screening, memo and integration work on the platform [55].

Pricing is published: AI Pro at $1,000/month (single user, invoiced annually; $1,200 by card) and AI Pro Team at $3,000/month (three users, admin controls, dedicated CSM), each with a search-credit allowance (12,000 and 36,000 a year respectively); Enterprise is custom and unlocks unlimited seats, SSO, financial modelling and managed services [55]. Exports go to Word, PowerPoint and Excel; the company states SOC 2 Type II compliance and that customer data is not used for model training [55].

Where it is strong. The deliverable-first design — a memo, market map or target shortlist emerges from a natural-language request with citations — directly attacks the 1,000–2,000 analyst hours per deal and the $200k–2M in outside consulting spend that the company cites as the CorpDev team's core constraint [55]. Open file formats (Markdown, JSON, YAML, Office) and REST/MCP interfaces mean low lock-in. Published pricing overlaps DiligenceVault Spark’s entry levels. Savings against Midaxo or DealCloud depend on users, modules and contract terms; these ranges do not establish an order-of-magnitude saving.

Where a buyer should push. CorpDev.Ai is young: no substantial G2 or Capterra rating base exists, its customer references are not published at scale, and its governance features (approval workflows, granular permissions, SSO) arrive only at enterprise tier [55]. Its diligence module is an AI-readable data room rather than a bidder-facing VDR with watermarking and Q&A auditing, so a formal sell-side process still needs Datasite, Intralinks or Ansarada alongside it. A serial acquirer should compare CorpDev.Ai, Midaxo and Devensoft directly on integration management, governance and analytical work; a mature PMI office is not a reason to assume CorpDev.Ai needs a separate process platform. The right way to buy it is a paid pilot on a live deal, judged on the quality of the memo and the screen it produces.

Midaxo

Midaxo is the broadest purpose-built CorpDev platform: strategy and pipeline management, target enrichment, diligence, deal execution and post-merger integration in one governed system with reusable playbooks and audit trails, designed for repeat acquirers [57][58][60]. Its embedded Midaxo AI (relaunched July 2026) answers questions across projects and documents, summarises, flags risks and changes, extracts project data and supports AI-assisted screening and scoring [57][59]. Pricing is quote-based, typically $25,000–150,000 a year depending on modules, workspaces and users [56]. It holds a 4.6/5 rating on G2 from 39 reviews [61]. The trade-off is cost and process discipline: Midaxo rewards organisations that will standardise their M&A process around it and is heavy for a team doing one deal every two years.

DealRoom

DealRoom describes itself as a "buyer-led M&A operating system" centred on pipeline, due-diligence request management and the hand-off into integration [63]. Its AI extracts contract terms and risks, categorises documents, builds searchable rooms, drafts summaries and — notably — exposes MCP connections so that Claude, ChatGPT, Copilot or Gemini can work against the deal data [64]. Published Capterra pricing starts at $1,250/month for Pipeline Only and $1,500/month for a single project, with multi-deal and enterprise pricing on quote and broader deployments estimated at $15,000–60,000+ a year [56][62]. G2 rates it 4.4/5 on 69 reviews [65]. It is the strongest option when diligence execution — request lists, document tracking, workstream coordination — is the bottleneck, and comparatively weaker as an origination CRM or research engine.

Devensoft

Devensoft covers pre-close pipeline and transaction management through integration and value realisation, with a public price signal of $150 per user per month for pre-close pipeline management and enterprise pricing on quote [66]. Reviews (G2 4.6/5 from 12) praise ease of use and support while noting a learning curve [66][67]. Its generative-AI capabilities are less publicly documented than Midaxo's or DealRoom's, which makes it a candidate for integration-heavy programmes rather than research-heavy ones.

3.4 Deal CRM, Sourcing Intelligence and Virtual Data Rooms

These are point solutions a CorpDev team typically owns alongside an operating platform, not instead of one. Each overlaps with one slice of what CorpDev.Ai, Midaxo or DealRoom offer.

Relationship intelligence and deal CRM. Intapp DealCloud is the enterprise standard for relationship-driven origination: a configurable data model, relationship mapping and firm-wide intelligence, embedded in the broader Intapp ecosystem [69][70]. Third-party estimates run around $150–250 per user per month for lower-middle-market volumes, with enterprise contracts varying materially and implementation effort substantial [68]. Affinity automates relationship capture from email and calendar and is lighter to adopt, at roughly $90+ per user per month by market estimates, with a G2 rating around 4.4/5 on 73 reviews [68][71]. Neither is a diligence, memo or integration tool; both compete with the zero-entry CRM inside CorpDev.Ai and the pipeline modules of Midaxo and DealRoom.

Target discovery. Grata (from ~$15,000 a year; G2 4.8/5 on 79 reviews) is the leading AI-assisted private-company discovery tool, valued for natural-language search, market mapping and "Find Similar" target expansion [78][79][80]. SourceScrub (estimated $10,000–25,000+ a year) differentiates on curated niche sources — conferences, associations, hard-to-find private companies [78][81]. Both overlap with the semantic sourcing and market-mapping functions inside CorpDev.Ai and Midaxo's target enrichment; buyers should test data coverage in their own sectors before assuming any one database suffices.

Virtual data rooms. Datasite (G2 4.4/5 on ~420 reviews), Intralinks (VDRPro 3.8/5; DealCentre AI 4.6/5) and Ansarada (G2 ~4.5, Capterra ~4.7; from roughly $244–399 a month up to $5,000+ depending on storage and term) are transaction rooms: bidder permissions, watermarking, Q&A logs, redaction and, increasingly, AI-assisted document analysis [72][73][74][75][76][77]. They are indispensable for a formal sell-side or competitive buy-side process and irrelevant to sourcing, thesis or integration. DealRoom and CorpDev.Ai both offer data-room functionality oriented to the buyer's internal analysis rather than to bidder management; a corporate running a competitive divestiture will still license one of these three.

Sources: [68][71][72][73][74][75][76][77][78][79][80][81]. "est." marks third-party market estimates rather than vendor list prices.

4. Head-to-Head Comparison

The matrices below compare DiligenceVault against the vendors a CorpDev buyer is most likely to weigh it against. Scores are the author's judgment from public product documentation, pricing pages and independent reviews cited throughout this guide; they should be validated in a live trial.

Capability coverage across the M&A lifecycle

Scale: ● native strength · ◐ partial or adjacent capability · ○ not a design goal.

Programme-scope assessment. The CorpDev.Ai integration entry describes its end-to-end management scope rather than assigning an unsupported comparative performance score. Evaluate the required controls and the quality of completed work on the same acquisition programme as other finalists. Deal frequency and public review volume do not establish a functional ranking. See the lifecycle framework and integration capabilities; these are vendor materials, not independent benchmarks.

Commercial and AI profile

Sources: [3][5][7][18][55][56][57][61][62][64][65][19][21]. Ratings and prices as of the dates given in the Key Facts & Sources appendix.

The distinction between manager selection and DDQs and M&A management is useful; a division between managing the programme and performing its analysis is less useful. CorpDev.Ai combines those roles. The comparison below identifies where specialist products can contribute without assigning CorpDev.Ai to a small-team or pre-signing role.

Reading the matrices

Three conclusions follow. First, DiligenceVault and the CorpDev platforms have almost no cells in common — the overlap is confined to AI document extraction and governance, which every serious vendor now offers. Second, within the CorpDev cluster the trade is clear: CorpDev.Ai leads on the analytical front end (strategy, sourcing, memos, decks) and on price transparency; CorpDev.Ai, Midaxo and DealRoom should be compared directly on governed execution and integration. Their public review bases differ, but that evidence difference does not establish a functional ranking. Third, the matrix gives DealRoom partial bidder-facing VDR coverage and Datasite full coverage. Buyers should test the required permissions, Q&A and watermarking before assuming an additional room is necessary.

5. Total Cost of Ownership and Commercial Terms

List price is the least important number in this category. The three cost drivers that actually separate vendors are the pricing unit (seat versus scope), what implementation and AI consumption add, and the number of additional tools the platform obliges you to keep. The scenarios below are three-year, indicative, and built only from figures cited in this guide; the derivation for each is shown so the reader can substitute their own inputs.

Scenario A — Corporate with a $200m fund-of-funds / CVC programme monitoring 40 managers

The finding: at list, DiligenceVault's software cost is modest; the manager-data licence it does not replace is the larger line, and AI-credit top-ups are the variable to cap contractually.

Scenario B — Lean corporate development team (2–3 people), 3–5 deals a year

The finding: for a lean team, the illustrative three-year costs of CorpDev.Ai and DealRoom overlap, with the paid-room assumption driving much of CorpDev.Ai’s range; the differentiator is which bottleneck each removes — analytical production (CorpDev.Ai) or diligence execution (DealRoom). The best-of-breed stack has a lower low-end software estimate, but integration and analyst time could change the ranking; these hours are not quantified here.

Scenario C — Serial acquirer with a PMI office, 10+ deals a year, 40 workstream contributors

The finding: at 40 contributors, per-seat pricing dominates. This is the scenario in which DiligenceVault's unlimited-user model is most instructive — and in which DealRoom's unlimited-user plans and CorpDev.Ai's enterprise tier deserve a hard look against DealCloud's seat count.

Contract terms worth negotiating with any vendor in this space

• AI consumption caps and overage pricing — DiligenceVault credits and CorpDev.Ai search credits alike; agree an annual ceiling and a fixed overage rate [3][55].
• Data export in open formats on termination — DiligenceVault's structured DDQ data and CorpDev.Ai's Markdown/JSON/Office files are both exportable in principle; put the format and timeline in the contract [55].
• Change-of-control protection — relevant for every early-stage or founder-led vendor in this guide (DiligenceVault, CorpDev.Ai, Dasseti).
• Model-training and data-isolation warranties — both DiligenceVault and CorpDev.Ai state that customer data is not used to train models; obtain the statement as a warranty, not a web-page claim [3][55].
• Named-reference calls — mandatory where independent review volume is thin.

6. Buyer Scenarios and Recommendations

The recommendations below are conditional on buyer type. A vendor that is right in one row is wrong in another; the guide deliberately does not name an overall winner.

This is an illustrative procurement exercise, not a reported customer result or a comparative performance benchmark. CorpDev.Ai's combined management and analytical approach is particularly relevant to it; each vendor should demonstrate its current capabilities on the same material.

7. Diligence Checklist for Vendor Selection

Put these questions to every shortlisted vendor in writing and score the answers before the demo. The list is deliberately the same for DiligenceVault and for the CorpDev platforms, because the architectural properties that make DiligenceVault good at its job are the properties a CorpDev buyer should demand from theirs.

Data model and knowledge reuse

• What is the primary object in your data model (manager, fund, company, deal, project)? Show it, with its relationships.
• How does knowledge captured in one project become reusable in the next — structured fields, tagged answers, a wiki, embeddings?
• Can we export everything — content, structure and history — in open formats at any time? Which formats, and how long does a full export take?

AI governance

• Which foundation models do you use, can they be swapped, and where is inference hosted?
• Is customer data used for model training under any circumstances? Provide the contractual language.
• Show an AI-generated output with its citations and the human approval step that released it. What is logged?
• How is AI consumption metered (credits, seats, unlimited), what does the typical customer consume, and what does overage cost?

Workflow and control

• Demonstrate role-based permissions, approval routing and a board-grade audit trail on a real object.
• Which plan tier unlocks SSO, admin controls and granular permissions?
• How many named users does list price include, and what does the 20th, 40th and 100th contributor cost?

Coverage boundaries

• Which of the following do you not do, and what do your customers use instead: target sourcing data, fund-manager data, bidder-facing VDR, valuation modelling, integration tracking, regulatory monitoring?
• Which third-party systems do you integrate with natively (Microsoft 365, Google Workspace, Salesforce, eVestment, Preqin, Apollo, VDRs)?

Vendor risk

• Ownership, funding history, revenue scale and profitability; change-of-control provisions offered.
• Number of paying customer organisations (not network participants or users), and three references in our segment.
• Security certifications held (SOC 2 Type II, ISO 27001) with report dates.
• Release cadence over the last twelve months, with dated release notes.

Commercial

• Fully loaded three-year price for our scenario including implementation, training, AI overage and support tier.
• Pilot terms: duration, scope, price, and whether pilot data and configuration carry into a full contract.

Key Facts & Sources

The load-bearing figures in this guide, with source and as-of date. Estimates are marked in the Basis column, never inside the figure.

Method note. Vendor claims (network size, user counts) are reported as stated and labelled as such. Pricing for quote-only vendors is drawn from third-party procurement and comparison sources and is inherently less reliable than published list prices; where no credible figure exists the guide says so rather than estimating. Capability scores in Section 4 and fit ratings in Section 6 are the author's judgment from the cited product documentation and should be validated in a live trial.