The short answer
Nace AI and Sardine are both compliance tools. They overlap on Sanctions screening, Transaction monitoring and KYC. Neither has a clear edge on the figures we track (entry price, review ratings, integrations, frameworks, customers). Best fit: Nace AI for fintech engineering teams building their own alert triage pipelines and Sardine for fintechs and neobanks combining fraud prevention with AML and identity workflows. Shortlist on fit, then compare quotes for the same scope.
Which should you choose?
Choose Nace AI if…
- you're among fintech engineering teams building their own alert triage pipelines
- you're among compliance teams that want scored, auditable decisions instead of free text
- you're among high-volume screening where cost and latency per decision matter
- this Sardine drawback matters to you: pricing is custom and Sardine does not publish a self-serve plan or rate card
Choose Sardine if…
- you're among fintechs and neobanks combining fraud prevention with AML and identity workflows
- you're among banks and payments companies needing real-time risk decisions across onboarding and transactions
- you're among crypto and digital-asset businesses managing identity, transaction, and financial-crime risk
- this Nace AI drawback matters to you: A model for developers, not a finished case management product
At a glance
| Attribute | Nace AI | Sardine |
|---|---|---|
| Starting price | $0.03 per 1,000 decisions (Drex Max)pricing as of Nov 2026 | Custompricing as of Oct 2026 |
| Pricing model | Usage-based API plus enterprise contracts | Annual contract, usage-based and quote-based |
| Free trial | Free sign-up on the Nace Console; enterprise models through sales. | No public free trial or self-serve plan is listed. |
| Founded | 2024 | 2020 |
| Headquarters | Palo Alto, CA | San Francisco, CA |
| Funding | Not disclosed | $145M raised |
| Frameworks | SOC 2 Type II | Not published |
| Coverage | Global API; self-hosted and hybrid deployment | Fraud prevention, device and behavioral intelligence, KYC/KYB, AML transaction monitoring, sanctions screening, case management, and SAR workflows |
| Integrations | Python SDK (nace-sdk), REST API, OpenRouter, Hugging Face open weights | Not published |
| Customers | Not publicly named | Not published |
| Rating | Not published | 4.8/5 on G2 (35 reviews) |
| Focus | Decision models for financial compliance | Financial crime and fraud prevention |
Figures are as published by each vendor or review site on the verification date. "Leads" marks the stronger published figure; it isn't a recommendation on its own.
Where each one leads
Neither tool has a clear edge on the figures we can compare directly (entry price, review rating, integrations, frameworks, customers, free trial).
Pricing compared
Nace AI pricing
$0.03 per 1,000 decisions (Drex Max) · pricing as of Nov 2026
Plan-level pricing not published.
The Nace Console offers free sign-up. Drex Max is listed at $0.03 per 1,000 decisions at its 50% launch price. Drex for Finance is a closed enterprise model, so its pricing and terms come from sales.
Free trial: Free sign-up on the Nace Console; enterprise models through sales.
Sardine pricing
Custom · pricing as of Oct 2026
- Enterprise platformCustom
Usage and implementation scope are quoted.
Fraud prevention, device and behavioral intelligence, identity verification, AML operations, APIs, SDKs, rules, and support
Sardine does not publish list prices or a public tier table. Vendr reports a median buyer contract of $95,333 per year and a $15,000–$254,480 range; its buyer note describes a minimum monthly commit, platform and support fees, consumption charges, and monthly overages. These are third-party benchmarks, not Sardine's published rates.
Free trial: No public free trial or self-serve plan is listed.
Key capabilities
Nace AI
- Drex for Finance. A decision model post-trained on financial cases that picks from the options you supply and returns a probability for each.
- AML and sanctions triage. Trained on KYC and AML red flags, sanctions and PEP screening, adverse media and transaction monitoring alerts.
- Fraud scoring. Scores transactions before they clear, flags account-takeover signals and triages disputes and chargebacks.
- Threshold-based routing. Every answer is a probability, so teams set the line for auto-approval, auto-flagging and analyst review.
- Grounded document processing. Parses, classifies and extracts from files, with every value linked to the page it came from.
- Private deployment. Self-hosted or hybrid deployment keeps cases inside the customer's network; SOC 2 Type II audited.
Sardine
- Fraud decisioning. Combines device, behavioral, identity, network, and transaction signals with machine learning and configurable rules for real-time risk decisions.
- Device intelligence. Uses device and behavioral signals to identify suspicious sessions, account takeover, bots, synthetic identities, and payment abuse.
- Identity verification. Supports KYC and KYB workflows for verifying people and businesses during onboarding and ongoing risk operations.
- AML monitoring. Provides transaction monitoring, sanctions screening, case management, and SAR filing workflows for financial-crime teams.
- Risk orchestration. Lets teams route events to automated approval, decline, or manual review outcomes using custom thresholds and conditions.
- Agentic operations. Positions AI agents as tools for automating fraud and AML operations across a unified financial-crime platform.
- Developer integration. Offers web JavaScript, iOS, and Android SDKs plus REST APIs for submitting account, identity, and transaction events.
Pros and cons
Nace AI
Pros
- Answers are limited to the options you define, with a probability for each
- Sub-second latency and low per-decision cost
- Self-hosted and hybrid deployment, SOC 2 Type II
- Open-weight base models available
Cons
- A model for developers, not a finished case management product
- All benchmark numbers are self-reported
- Drex for Finance itself is closed and priced through sales
- No named compliance customers yet
Sardine
Pros
- Combines fraud, identity, device intelligence, and AML operations in one platform.
- Supports web and mobile SDKs plus REST APIs for real-time event processing.
- Configurable rules can route decisions to approval, decline, or manual review.
- Named customers include FIS, GoDaddy, Deel, Checkout, and Brex.
Cons
- Pricing is custom and Sardine does not publish a self-serve plan or rate card.
- The reported minimum-commit and overage model can make spend harder to forecast.
- A broad financial-crime suite may exceed the needs of simple, low-risk ecommerce use cases.
- Public materials do not provide a complete named integration catalog.
How they're similar
- Both are listed in our compliance directory.
- Both list Sanctions screening, Transaction monitoring and KYC.
How they differ
- Focus
- Nace AI: Decision models for financial compliance
- Sardine: Financial crime and fraud prevention
- Pricing model
- Nace AI: Usage-based API plus enterprise contracts
- Sardine: Annual contract, usage-based and quote-based
- Starting price
- Nace AI: $0.03 per 1,000 decisions (Drex Max)
- Sardine: Custom
- Founded
- Nace AI: 2024
- Sardine: 2020
- Headquarters
- Nace AI: Palo Alto, CA
- Sardine: San Francisco, CA
- Funding
- Nace AI: Not disclosed
- Sardine: $145M raised
- Listed only for this tool
- Nace AI: AML triage, Fraud scoring, Decision models, Document processing, Developers
- Sardine: Fraud prevention, AML, KYB, Device intelligence, Behavioral biometrics, Identity verification +5 more
Frequently asked questions
Is Nace AI cheaper than Sardine?
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The published prices can't be compared directly (they are quote-based, use different billing units, or aren't published), so request quotes for the same scope. Nace AI: $0.03 per 1,000 decisions (Drex Max) (usage-based API plus enterprise contracts). Sardine: Custom (annual contract, usage-based and quote-based). (Nace AI pricing pricing as of Nov 2026; Sardine pricing pricing as of Oct 2026.) Total cost depends on plan, company size and add-ons.
Which is better for startups, Nace AI or Sardine?
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Nace AI's published positioning doesn't single out startups; its first best-fit group is "Fintech engineering teams building their own alert triage pipelines". Sardine's published positioning doesn't single out startups; its first best-fit group is "Fintechs and neobanks combining fraud prevention with AML and identity workflows". Neither answer replaces a quote for your headcount and scope.
Can I switch from Nace AI to Sardine?
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Yes. They are separate products, so switching means setting up Sardine and reconnecting your systems. Check your Nace AI contract term and renewal date before you commit. Data migration tooling isn't covered in our sources, so ask Sardine whether it can import your Nace AI data.
Does Nace AI or Sardine have more integrations?
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Nace AI: Python SDK (nace-sdk), REST API, OpenRouter, Hugging Face open weights; Sardine: not published. Vendor counts are self-reported and define "integration" differently, so check that the specific systems you use are supported.
How do Nace AI and Sardine reviews compare?
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Nace AI: no rating in our data; Sardine scores 4.8/5 from 35 reviews on G2. Ratings are third-party review-site data, not our own testing.
Do Nace AI and Sardine offer a free trial?
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Nace AI: Free sign-up on the Nace Console; enterprise models through sales. Sardine: No public free trial or self-serve plan is listed.
Go deeper
Nace AI
Compliance
Sardine
Compliance
Sources
Vendors change pricing and features often, so confirm with each vendor before buying. How we research
Work at one of these companies or spot something out of date? Suggest a correction. We check every report against a public source and update the page, usually within a few days.