Mindlapse Ernest vs Nuix Neo AI Agent

Quick answer

Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) (Mindlapse (Mindlapse SAS)) and Nuix Neo AI Agent (investigations and compliance) (Nuix (Nuix Limited, ASX: NXL)) are both listed in the Compliance category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) (Mindlapse (Mindlapse SAS)) and Nuix Neo AI Agent (investigations and compliance) (Nuix (Nuix Limited, ASX: NXL)) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) is tagged for DORA.

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Field Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents)Nuix Neo AI Agent (investigations and compliance)
Vendor Mindlapse (Mindlapse SAS)Nuix (Nuix Limited, ASX: NXL)
HQ France · EuropeAustralia · Australia and New Zealand
Primary category ComplianceCompliance
Also listed in Compliance, RiskCompliance, Risk
Summary French agentic Cyber-GRC operating system whose Ernest engine runs separate planner, collector, adjudicator and writer agents to verify every governance claim (from policies, control owners or vendors) against evidence, connector signals and a cyber knowledge graph, returning sourced verdicts with confidence that are re-checked continuously and accepted or rejected by a human.AI agent inside the Nuix Neo investigative analytics platform for legal, regulatory, investigations and compliance-monitoring matters: it picks and calls Neo tools on its own to answer plain-language questions across a case, links every answer to source items, tags items and writes findings back to the case, and records each step for audit.
Frameworks (vendor-stated) DORA—
Frameworks (vendor-claimed) NIS2, DORA, EU Cyber Resilience Act, EU AI Act—
Capabilities / tasks control monitoring, evidence collection, control mapping, vendor risk, risk assessmentcase investigation, data discovery, workflow automation
Pricing (as published) Not publishedNot published (request a demo on nuix.com, checked 2026-10-23)
Pricing model quotequote
Primary source https://www.mindlapse.ai/platform/ernest/https://www.nuix.com/news/nuix-launches-agentic-ai-nuix-neo-audit-trail-built
Last checked 2026-10-192026-10-23
Official site https://www.mindlapse.ai/platform/ernest/https://www.nuix.com/news/nuix-launches-agentic-ai-nuix-neo-audit-trail-built

FAQ (from this dataset)

What is the difference between Mindlapse Ernest and Nuix Neo AI Agent?

Both are listed under Compliance. They share no task tags in this dataset. Mindlapse Ernest-only tasks: control-monitoring, evidence-collection, control-mapping, vendor-risk, risk-assessment. Nuix Neo AI Agent-only tasks: case-investigation, data-discovery, workflow-automation. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents): Not published Nuix Neo AI Agent (investigations and compliance): Not published (request a demo on nuix.com, checked 2026-10-23)

Where are Mindlapse Ernest and Nuix Neo AI Agent headquartered?

Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) publishes HQ in France. Nuix Neo AI Agent (investigations and compliance) publishes HQ in Australia.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) or Nuix Neo AI Agent (investigations and compliance). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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