Capsa AI vs Dasseti (2026)
Two diligence platforms that never compete for the same file: Capsa AI examines companies for the funds buying them, and Dasseti examines the funds themselves for the institutions allocating to them. Capsa is the deal side operating system, delegating the manual quarter of private equity diligence time, indexing a firm's own deal and communication history and tracing answers across sourcing, diligence and portfolio monitoring, for unnamed funds managing over $30 billion. Dasseti is the manager selection exchange. It digitizes questionnaires on industry or proprietary templates, with automated flagging, scoring and benchmarking on the allocator side and a response library with verbatim matching on the manager side. It integrates directly with the Nasdaq eVestment Omni consultant database, its embedded AI (Sidekick AI and Smart Writer) prefills answers and assembles committee ready reports, and its clients hold a combined $20 trillion. The assurance postures are a generation apart, in the younger vendor's disfavor. Dasseti names its certification, states the platform penetration tested, names the model service it calls on its own product page and commits that service to zero data retention. Capsa asserts the highest levels of data security and names nothing, an absence that stands out in a niche where competitors publish held certifications. The evidence shapes rhyme in one respect. Dasseti's named insurer, institutional manager and diligence provider sit beside a fivefold productivity figure attributed to nobody in particular, so the reference and the number never join, and Capsa's twenty percent time saving belongs to customers with no names at all. The open questions split by design. At Capsa, tenant isolation of indexed deal history between rival bidders. At Dasseti, the tilt of its flagging, since a system that decides which responses look risky decides which managers get scrutinized, and nothing describes how that flagging is evaluated.
- You diligence companies, not managers. Deal side extraction, contract review, financial analysis and traced answers across sourcing, diligence and portfolio monitoring, built specifically around private equity workflows.
- Your firm's own history is the asset being unlocked. Deal and communication records indexed from the systems where they already live, with auditability across the investment process.
- Outcomes are modest enough to credit. A fifth off diligence time and a 90 percent satisfaction score, co developed with leading firms, revenue within eight months.
- You sit on the allocation side, or answer to it. Questionnaires, flagging, scoring, benchmarking and remediation tracking for asset owners and consultants, a response library for managers, and a direct integration into the Nasdaq eVestment Omni consultant database, across clients holding 20 trillion dollars combined.
- Assurance maturity is visible. A named certification stated as held, penetration testing stated, and the model service named on the product page and committed to zero data retention.
- One platform carries both directions and the sustainability layer. Collect and respond products on a single spine, with a module gathering data against the major reporting frameworks.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Capsa AI and Dasseti are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Capsa AI | Dasseti | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2023 | Not published |
| Headquarters | London, England, United Kingdom | Not published |
| Website | www.capsa.ai | www.dasseti.com |
Side by Side
Select any grade to read the note behind it.
| Axis | C Capsa AI |
D Dasseti |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Dasseti
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Acquisition / corporate
Nasdaq completed its acquisition of Dasseti, first announced in July 2026, and is folding its due diligence and monitoring capability into Nasdaq eVestment, unifying RFP, due diligence questionnaire and database management workflows for asset managers.
Source
The short version of each
Capsa AI
Capsa AI examines companies for the funds buying them, a deal side operating system delegating the manual quarter of private equity diligence time, indexing a firm's own deal and communication history and tracing answers across sourcing, diligence and portfolio monitoring, for unnamed funds managing over $30 billion with a credibly modest published time saving of a fifth. According to the AI FinTech Index, its assurance disclosure is a generation behind Dasseti's: security is asserted at the highest levels with no artifact, no named model and no published evaluation, in a niche where competitors publish held certifications. Its design leaves open questions. Tenant isolation of indexed deal history between funds that bid against each other is unanswered. No extraction error rate is published for values that reach committee papers, and the target company analyzed has no route into the system.
Source: AI FinTech Index, 2026
Dasseti
Dasseti runs the manager selection exchange between allocators and funds: digitized questionnaires on industry or proprietary templates, with automated flagging, scoring and benchmarking on the allocator side and a response library with verbatim matching on the manager side. It integrates directly with the Nasdaq eVestment Omni consultant database, and its clients hold a combined $20 trillion. According to the AI FinTech Index, it documents its processing path in detail: a named certification, stated penetration testing, and the model service it calls named on its own product page with a zero retention commitment. Read precisely, that commitment covers the external service, not the platform, whose retention schedule and tenancy position stay unpublished. The governance question is the flagging itself, since a system deciding which responses look risky decides which managers get scrutinized, and no evaluation of that flagging is published. Its named references and its fivefold productivity figure never join.
Source: AI FinTech Index, 2026
Common questions
Do Capsa AI and Dasseti compete?
Never for the same file. Capsa AI examines companies for the funds buying them, while Dasseti examines the funds themselves for the institutions allocating to them, with clients holding a combined 20 trillion dollars. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Whose assurance disclosure is stronger?
Dasseti's, a generation ahead: a named certification, stated penetration testing, and the model service on its own product page committed to zero data retention. Capsa asserts the highest levels of security and names nothing, an absence that stands out in a niche where competitors publish held certifications. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What should be read carefully in Dasseti's zero retention line?
Its scope: the commitment covers the named external model service, not the platform itself, and no platform level retention schedule or tenancy position is published. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What governance question belongs to each?
Dasseti's flagging tilt, since a system deciding which responses look risky decides which managers get scrutinized, with no published evaluation. Capsa's tenant isolation of indexed deal history between rival bidders. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Compliance, Surveillance & RegTech page.
Dasseti's zero retention commitment deserves its precise reading: it covers the named external model service, not the platform itself, and no platform level retention schedule, processing terms or tenancy position is published, with nothing stating whether the embedded inference carries an incremental charge. Its flagging is the governance question, since a system deciding which manager responses look risky decides which managers receive scrutiny and which pass quietly.
No evaluation of that flagging, or accuracy for extraction and report generation, is published. Its named references and quantified outcomes never join, the fivefold productivity figure attaching to nobody in particular. Capsa's gaps are the absences themselves: security asserted at the highest levels with no artifact, no named model and no published evaluation, and unanswered isolation of indexed deal history between funds that bid against each other, plus the target company analyzed without any route into the system.
A missed disclosure at Dasseti feeds an allocation made on behalf of pension and endowment beneficiaries, and its audit trail records what was reviewed without allocating responsibility for what the model failed to surface. Neither publishes a price.