# Immuta vs Quantifind

Immuta records 24,384 monthly visits with -65.7% month-over-month growth and Contact for Pricing pricing. Quantifind records 15,226 monthly visits with +8.1% growth and Contact for Pricing pricing.

| Metric | [Immuta](https://openaitools.app/tool/immuta) | [Quantifind](https://openaitools.app/tool/quantifind-com) |
| :--- | :--- | :--- |
| Website URL | https://www.immuta.com | https://quantifind.com |
| Categories | AI For Data Analytics, AI Productivity Tools, AI For Finance, AI Healthcare | AI For Finance, AI API, AI Workflow, AI For Data Analytics |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 24,384 | 15,226 |
| MoM Growth Rate | -65.7% | +8.1% |
| Primary Market | United States | United States |
| Direct Visits | 8,319 | 5,519 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Immuta

Immuta is an authorization layer that sits between the people and AI agents asking for data and the systems that hold it. Instead of approving access system by system, organizations define a single set of rules that the Immuta policy engine evaluates on every request — returning allow, mask, filter, deny or escalate in under a second. Policies are authored once in plain language and enforced natively inside warehouses, lakehouses, databases, cloud storage, APIs and SaaS applications, so nothing has to be copied and no per-system code has to be maintained.

The problem Immuta addresses is that data access has changed shape. People no longer search for a table and request it; they ask an AI assistant a question, and that assistant may request every table the task might touch. That shift moves request volume from a few per week to thousands per hour, and it turns the question itself into a risk, because an agent does not know which columns are sensitive. Immuta's Agentic Data Access gives humans and agents just-in-time, scoped permissions, records a purpose for each request, and masks sensitive columns such as personal data unless a legitimate exception applies.

The platform is organized into four modules on one engine — policy authoring and enforcement, request workflows and exceptions, agentic data access, and agentic compliance — and customers can adopt one and add the rest. The vendor's customers include banks, pharmaceutical companies, insurers and government agencies that need enforceable, auditable data governance. Because deployments are enterprise-scale and integration-heavy, Immuta is sold through a demo and scoping process rather than self-serve checkout.

**Pricing & Plans:** Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

- **Global policy authoring:** Define access rules in plain language, and Immuta compiles them into native controls inside your data infrastructure.
- **Sub-second decisioning:** The policy engine returns allow, mask, filter, deny or escalate for every request in under a second, at enterprise scale.
- **Request workflows and exceptions:** Route genuine exceptions to data owners with the purpose attached, while routine access resolves on its own.
- **Agentic Data Access:** Give humans and AI agents just-in-time, scoped permissions so assistants only reach the data their task needs.
- **Unified audit and compliance:** Audit, triage and prove compliance across every actor and data system from a unified record of decisions.

**Strengths:** One policy engine enforces access across warehouses, databases, storage, APIs and SaaS; Sub-second decisions keep AI agents and analysts unblocked; Strong audit trail for privacy and regulatory proof; Purpose-aware exception handling keeps humans in charge of genuine edge cases

**Limitations:** Pricing requires a demo and internal packaging decisions; Implementation is enterprise-scale, not a quick self-serve setup; Value comes mainly from organizations with many data systems and strict governance needs

[Profile (Markdown)](https://openaitools.app/tool/immuta.md)

## Quantifind

Quantifind provides an AI risk-intelligence platform, marketed primarily as Graphyte, that helps large organizations detect, assess and mitigate financial crime and national security threats. The company focuses on the financial-services and public-sector markets, where its stated customer base includes a majority of the world's largest global banks as well as civilian, defense and state agencies.

The platform centers on four main mission areas: Know Your Customer (including perpetual KYC and periodic refresh), sanctions compliance, transaction intelligence for payments risk, and investigations case work. Quantifind's technology stack combines entity resolution, risk typologies, network intelligence and "agentic middleware" that coordinates AI agents across data sources. The company emphasizes responsible AI, with explainability and auditability positioned as core requirements rather than afterthoughts.

Quantifind is an enterprise sale rather than a self-serve tool. Prospective buyers are directed to interactive demos, "Plans & Packages" pages and a procurement/contract-vehicle process, and pricing is quoted on a contact basis. The vendor publishes security documentation such as SOC 2 posture and deployment options for review.

**Pricing & Plans:** Enterprise, contact-for-pricing model. Quantifind does not publish rates publicly; buyers engage through demos, a Plans & Packages overview and procurement or contract-vehicle processes.

- **Graphyte risk-intelligence platform:** A single environment spanning KYC, sanctions, transaction intelligence and investigations, so risk teams work from consistent data and scoring logic.
- **AI KYC and perpetual refresh:** Automated periodic reviews that detect meaningful changes in a customer's risk profile and route only the genuinely changed cases to analysts.
- **Sanctions and watchlist screening:** Intelligent name matching that surfaces hidden ownership, relationships and sanctions exposure that traditional list screening can miss.
- **Transaction intelligence for payments:** AML controls designed for modern payment flows, uncovering hidden risk across counterparties, networks and transaction paths.
- **Explainable, auditable AI:** Entity resolution, risk typologies and network intelligence combined with governance and traceability, so every decision can be reviewed and defended to regulators.

**Strengths:** Purpose-built for regulated financial services, with explainability and auditability treated as first-class requirements; Covers the full financial-crime lifecycle in one platform rather than separate point tools; Strong credibility in the largest-bank segment, with public reference metrics and customer quotes; Addresses both private-sector compliance and public-sector national-security use cases

**Limitations:** No public pricing and no self-serve tier, so evaluation requires a sales conversation and procurement cycle; Enterprise scope means meaningful configuration and integration effort before value is realized; Positioned for institutions with large data estates; smaller teams may find it heavyweight

[Profile (Markdown)](https://openaitools.app/tool/quantifind-com.md)

## Frequently Asked Questions

### How do Immuta and Quantifind compare in monthly traffic?

Immuta has 24,384 monthly visits, while Quantifind has 15,226. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Immuta has a month-over-month growth rate of -65.7%; Quantifind has +8.1%.

### How does pricing compare?

Immuta: Contact for Pricing. Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price. Quantifind: Contact for Pricing. Enterprise, contact-for-pricing model. Quantifind does not publish rates publicly; buyers engage through demos, a Plans & Packages overview and procurement or contract-vehicle processes.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Antom](https://openaitools.app/tool/antom) | 2,337,988 | +28.6% | Contact for Pricing | AI-powered global payments and growth platform for merchants | [.md](https://openaitools.app/tool/antom.md) |
| 2 | [Syft Analytics](https://openaitools.app/tool/syft-assist-ai) | 1,105,531 | +16.2% | Freemium, Free Trial, Paid | AI-powered financial reporting, dashboards and forecasting for accountants and finance teams | [.md](https://openaitools.app/tool/syft-assist-ai.md) |
| 3 | [Windward Maritime AI](https://openaitools.app/tool/windward-ai) | 128,777 | -38% | Contact for Pricing | All-source maritime intelligence powered by Maritime AI™ | [.md](https://openaitools.app/tool/windward-ai.md) |
| 4 | [Shufti](https://openaitools.app/tool/shufti-pro) | 114,794 | -28.1% | Contact for Pricing | Global identity verification, KYC/AML compliance and fraud prevention | [.md](https://openaitools.app/tool/shufti-pro.md) |
| 5 | [SymphonyAI](https://openaitools.app/tool/symphonyai-com) | 76,797 | -39.8% | Contact for Pricing | Vertical AI applications and agents built for retail, financial services, industrial, and enterprise IT | [.md](https://openaitools.app/tool/symphonyai-com.md) |
| 6 | [Clarity AI](https://openaitools.app/tool/clarity-ai) | 74,596 | -22.5% | Contact for Pricing | AI-native platform for extra-financial intelligence | [.md](https://openaitools.app/tool/clarity-ai.md) |
| 7 | [Gamma.AI](https://openaitools.app/tool/gamma-ai) | 71,636 | -26.2% | Contact for Pricing | AI-powered cloud DLP and security awareness training for SaaS environments | [.md](https://openaitools.app/tool/gamma-ai.md) |
| 8 | [XenonStack](https://openaitools.app/tool/xenonstack) | 52,808 | +1.3% | Contact for Pricing | Decision infrastructure for governed enterprise AI agents | [.md](https://openaitools.app/tool/xenonstack.md) |
| 9 | [Secoda](https://openaitools.app/tool/secoda-ai) | 35,840 | -9.9% | Freemium, Free Trial, Contact for Pricing | AI answers for your data stack, grounded in governance, lineage and metadata | [.md](https://openaitools.app/tool/secoda-ai.md) |
| 10 | [MindBridge AI](https://openaitools.app/tool/mindbridge-ai) | 31,760 | -36.4% | Contact for Pricing | AI oversight that analyzes every financial transaction, not just a sample | [.md](https://openaitools.app/tool/mindbridge-ai.md) |

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Source: https://openaitools.app/compare/immuta-vs-quantifind-com

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