Alkymi vs Centauri AI (2026)
Scale against measurement, and the inversion is complete enough to organize the page. Alkymi is the industrial answer. It retrieves and extracts the full range of private markets paper for investment managers representing more than $20 trillion in assets. Five institutions are named, two of them investing in the company's latest round. Integration is treated as a product surface, and a monitoring layer 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. It links every extracted term back to its source passage so an analyst verifies at the point of use, and reports SOC 2 Type II, which tests controls over a period of operation. Alkymi publishes validation and completeness as named controls and no accuracy rate, error figure or attestation anywhere. Choosing between them means 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 SOC 2 Type II, which tests controls over a period of operation, with 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
Select any grade to read the note behind it.
| 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 industrializes private markets document flow. It retrieves and extracts the full range of the asset class's paper for investment managers representing more than $20 trillion in assets. Five institutions are named, and two of them invested in the company's latest round. Integration is treated as a product surface, and a monitoring layer checks each fund for the documents that never arrived, the failure no parser catches. According to the AI FinTech Index, the finding is a measurement inversion. At this scale the platform publishes no extraction accuracy figure, no error rate, no reconciliation statistic and no attestation anywhere. Its completeness monitoring covers whether documents arrived rather than whether they were read correctly. No model provider, subprocessor or data boundary is published, so whether documents processed for one allocator inform models used for another is left to the contract.
Source: AI FinTech Index, 2026
Centauri AI
Centauri AI interprets credit documentation rather than merely extracting it. It reads across the sections of a credit agreement to determine what a provision means, and links every extracted term back to its source passage so an analyst verifies at the point of use. According to the AI FinTech Index, its measurement culture inverts its scale. A team of five publishes over 92 percent accuracy extracting key terms across thousands of pages of real agreements and reports SOC 2 Type II, tested over a period of operation, disclosures its far larger rival does not make. Read plainly, 92 percent 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 industrializes 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 leaves a gap between coverage and correctness. 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.
Does the smaller vendor really hold the stronger security credential?
Yes. The five person company reports SOC 2 Type II, tested over a period of operation, 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.
How established is Centauri AI?
Centauri is early stage, with two documented deployments, neither customer named, revenue near six hundred thousand dollars and a team of five. The measured accuracy and attestation sit on a thin operating base. 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 $20 trillion publishes no extraction accuracy figure, no error rate and no reconciliation statistic. Its completeness monitoring covers 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 SOC 2 Type II.
Read plainly, its 92 percent means roughly one term in twelve needs correction, a rate its material does not discuss. Neither vendor names a model provider, subprocessor or hosting arrangement beyond Centauri's statement of domestic servers. 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. That matters at both: for competing allocators' portfolios at Alkymi and competing firms' live deal terms at Centauri.