Alkymi vs Centauri AI (2026)
Scale against measurement, and the inversion is complete enough to organise the page. Alkymi is the industrial answer, retrieving and extracting the full range of private markets paper for investment managers representing more than twenty trillion dollars in assets, five institutions named, two of them investing in the company's latest round, with integration treated as a product surface and a monitoring layer that checks each fund for the documents that never arrived, which is the failure no parser catches. Centauri AI is the interpretive answer at the opposite end of every scale: a team of five, two documented deployments with neither customer named, and a product that reads across the sections of a credit agreement to determine what a provision means rather than where it sits. What the small one publishes, the large one does not. Centauri states over 92 percent accuracy extracting key terms across thousands of pages of real agreements, links every extracted term back to its source passage so an analyst verifies at the point of use, and reports certification under the principal service organisation control standard at the more demanding period of operation level. Alkymi publishes validation and completeness as named controls and no accuracy rate, error figure or attestation anywhere. A buyer choosing between them is choosing which absence to diligence: an evidence base or a measurement culture.
- Your document flow is wide and relentless. Capital calls, schedules, transaction notices, quarterly reports, loan agent notices and statements are retrieved, extracted and validated at institutional scale, with per fund completeness monitoring catching the report that never arrived.
- Your committee weighs adoption. Investment managers representing more than twenty trillion dollars run the platform, five institutions are named, and two customers invested in the latest round.
- Your data must land where you work. Pre built and custom connections deliver structured output into downstream systems, with a named credit risk partnership and a major software provider as customer and investor at once.
- Your work is interpretation, not retrieval. Provisions are read across sections of an agreement to determine what a term actually means, seniority included, with every extracted value linked to its source passage for verification at the point of use.
- Your diligence asks for the number. Published benchmarking states over 92 percent accuracy on key terms across thousands of pages of real credit agreements, with the engagement and terms named.
- Your security review wants an attestation. The company reports certification under the principal service organisation control standard at the period of operation level, unusual at a team of five.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Alkymi and Centauri AI 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
| Alkymi | Centauri AI | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2017 | 2023 |
| Headquarters | New York, New York, United States | San Francisco, California, United States |
| Website | www.alkymi.io | centauri-ai.tech |
Side by Side
| Axis | A Alkymi |
C Centauri AI |
|---|---|---|
| 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 |
The short version of each
Alkymi
Alkymi industrialises private markets document flow, retrieving and extracting the full range of the asset class's paper for investment managers representing more than twenty trillion dollars in assets, five institutions named and two of them investing in the company's latest round, with integration treated as a product surface and a monitoring layer that checks each fund for the documents that never arrived, the failure no parser catches. The AI FinTech Index records the measurement inversion on its page as the finding: the platform operating at the largest scale publishes no extraction accuracy figure, no error rate, no reconciliation statistic and no attestation anywhere, its completeness monitoring covering whether documents arrived rather than whether they were read correctly. The index also records that no model provider, subprocessor or data boundary is published, so whether documents processed for one allocator inform models used for another is a question for the contract.
Source: AI FinTech Index, 2026
Centauri AI
Centauri AI interprets credit documentation rather than merely extracting it, reading across the sections of a credit agreement to determine what a provision means, linking every extracted term back to its source passage so an analyst verifies at the point of use. The AI FinTech Index records its measurement culture as the inversion of its scale: a team of five publishes over 92 percent accuracy extracting key terms across thousands of pages of real agreements and reports certification under the principal service organisation control standard at the more demanding period of operation level, disclosures its far larger rival does not make. The index records the readings that belong beside the credit: 92 percent plainly means roughly one term in twelve needs correction, a rate the material does not discuss, the evidence base is two documented deployments with neither customer named, and the underlying language model is almost certainly an external service a client cannot identify.
Source: AI FinTech Index, 2026
Common questions
Are Alkymi and Centauri AI direct competitors?
Both extract from private markets documents and they serve different depths of the same problem. Alkymi industrialises high volume document flow for allocators and servicers, while Centauri interprets individual credit agreements for investment teams, so overlap is narrower than the category label suggests. 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.
Which vendor publishes extraction measurement?
Centauri, which publishes over 92 percent accuracy on key terms with the engagement described, and links each extracted term to its source passage. Alkymi publishes validation and completeness monitoring as controls and no accuracy figure, which the AI FinTech Index records as the gap between coverage and correctness.
Does the smaller vendor really hold the stronger security credential?
Yes, in the unusual direction: the five person company reports a service organisation control certification at the period of operation level, while the platform serving twenty trillion dollars of client assets publishes no attestation at all. 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 is the caution on Centauri AI?
Centauri is early stage with two documented deployments, neither customer named, revenue near six hundred thousand dollars and a team of five, so the measured accuracy and attestation sit on a thin operating base a buyer should weigh alongside them. 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 Wealth & Advisory AI page.
The measurement inversion is the finding of this pair. The platform processing documents for institutions holding more than twenty trillion dollars publishes no extraction accuracy figure, no error rate and no reconciliation statistic, its completeness monitoring covering whether documents arrived rather than whether they were read correctly.
The five person company publishes an accuracy figure with its task specified, links every term to its source passage, and reports a period of operation attestation, and its 92 percent read plainly means roughly one term in twelve needs correction, a rate its material does not discuss and a reviewer should price in.
Neither vendor names a model provider, subprocessor or hosting arrangement beyond Centauri's statement of domestic servers, and for a company of five the underlying language model is almost certainly an external service a client cannot identify. Neither states whether documents processed for one client inform models used for another, which matters at both, for competing allocators' portfolios at one and competing firms' live deal terms at the other.