Adeptiv AI raises $100K in Angel Funding to accelerate effortless enterprise AI Governance for businesses.

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2026 Platform Comparison

Adeptiv AI vs Holistic AI

A structured operational analysis covering governance architecture, compliance depth, runtime monitoring, and enterprise fit across BFSI, healthcare, and manufacturing — so you select the right platform for your AI governance mandate.

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Explore Platform
Global AI Regulations covered by Adeptiv AI
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Real-time production monitoring metrics
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Test types
Holistic AI
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Cloud & SaaS integrations Holistic AI
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Platform A

Adeptiv AI

Adeptiv AI is built around end-to-end lifecycle governance — a single integrated platform covering every stage from AI discovery through retirement. It covers 38+ global regulations with automated compliance mapping, delivers real-time monitoring across 30+ production metrics, and is purpose-built for regulated industries including BFSI, healthcare, and manufacturing.

AI Lifecycle Governance
38+ Regulations
30+ Real-Time Metrics
BFSI · Healthcare · Mfg
Platform B

Holistic AI

Holistic AI follows a sequential Identify → Protect → Enforce governance framework. Its signature capability is Guardian Agents — an agentic oversight layer that observes and intervenes in production. It delivers 40+ specialized test types including red teaming and LLM validation, with shadow AI discovery spanning 20+ cloud and SaaS integrations.

Guardian Agents
40+ Test Types
Shadow AI Scanning
LLM Red Teaming

Two approaches to the same problem

Both platforms are purpose-built for AI governance — but they approach architecture, regulatory depth, and operational priorities differently.

Neither Is a Repurposed GRC Tool

Both platforms were purpose-built for AI governance from the ground up — not privacy or compliance tools retrofitted for AI. This matters for architecture, depth, and workflow integration.

Different Architectures, Same Mandate

Adeptiv AI unifies governance across the full model lifecycle. Holistic AI enforces governance through a sequential Identify–Protect–Enforce framework. Both address AI-specific risk from different angles.

Regulatory Pressure Is Operational

The EU AI Act is in enforcement. NIST AI RMF is widely adopted. ISO 42001 is driving certification requirements. Banking regulators across multiple jurisdictions are issuing AI-specific guidance.

Post-Deployment Governance Is Non-Negotiable

AI systems drift, degrade, and produce unexpected outputs in production. Governance that stops at deployment is incomplete — continuous monitoring is now a regulatory expectation in regulated industries.

Capability-by-capability breakdown

A comprehensive evaluation of how each platform addresses the core challenges of enterprise AI governance. Features verified against publicly available documentation as of mid-2025.

Capability ◆ Adeptiv AI ◇ Holistic AI Advantage
Governance Architecture
Governance Model
Integrated Platform
Unified lifecycle from inventory to retirement — single connected workflow for every AI system
Sequential Framework
Identify, Protect, Enforce — three-stage framework linking discovery, testing, and enforcement		 Context-dep.
AI Discovery Organisation-wide AI inventory discovery across all business units; covers registered and unregistered systems Automated scanning across cloud platforms, code repositories, and SaaS apps (20+ integrations) with real-time updates Both Strong
AI Inventory Management Dedicated inventory module with risk classifications, regulatory obligations, and lifecycle status tracked centrally Live AI inventory with continuous real-time updates; maintains current state of all AI deployments across the enterprise Both Strong
Shadow AI Detection Inventory discovery includes unregistered systems within the broader governance workflow Purpose-built shadow AI scanning with owner identification and risk classification; surfaced from 20+ integration points ✦ Holistic AI
Runtime Monitoring & Observability
Real-Time Monitoring Dedicated Real-Time AI Monitoring capability; 30+ production metrics; continuous risk detection for drift and degradation Continuous monitoring via Guardian Agents; drift, degradation, and adversarial threat monitoring with automated intervention Both Strong
AI Observability Depth
30+ Metrics
Broad operational observability for traditionally deployed models; metrics span performance, drift, and risk signals
Agentic Layer
Sentinel Agents observe; Operative Agents actively intervene, enforce, and remediate when risk thresholds are crossed		 Context-dep.
Governance Automation Risk assessment and compliance workflow automation; documentation generated automatically against 38+ frameworks Deployment gates, approval workflows, and kill switches that block non-compliant AI from reaching production Both Strong
Compliance & Regulatory Coverage
Regulatory Coverage
38+ Regulations
Multi-jurisdictional, including BFSI and healthcare sector-specific frameworks across multiple geographies
Major Frameworks
EU AI Act, NIST AI RMF, ISO 42001, NYC Local Law 144; risk scores mapped to regulatory requirements		 ✦ Adeptiv AI
Compliance Mapping Automated compliance mapping across 38+ global regulations; gap analysis informs documentation and monitoring priorities Built-in framework mapping, gap analysis; deployment gates block non-compliant systems from reaching production Both Strong
Audit Readiness Audit-ready compliance reports for internal reviews and external regulatory examinations; defensible to financial regulators Continuous evidence collection throughout the deployment lifecycle; generates structured audit trail automatically Both Strong
Risk Assessment & Technical Testing
Risk Assessment Method Gap analysis-based assessment integrated into governance workflow — informs documentation, compliance mapping, and monitoring Testing-intensive: 40+ specialized tests covering bias, fairness, safety, toxicity, hallucination, prompt injection, adversarial attacks Both Strong
Bias & Fairness Testing Bias dimensions included in risk assessment framework; EU AI Act high-risk system obligations covered for credit and healthcare AI Dedicated bias, fairness, and toxicity test suite within the 40+ test framework; directly applicable to fair lending obligations ✦ Holistic AI
LLM / Generative AI LLM system lifecycle governance within the broader platform; GenAI models managed through the same inventory and compliance workflow Dedicated LLM red teaming, hallucination detection, prompt injection testing, jailbreak resistance evaluation ✦ Holistic AI
Multi-Jurisdictional 38+ regulation coverage designed for multinational organisations operating across multiple geographies simultaneously Primary international frameworks and U.S. legislation; more limited breadth for complex multi-geography compliance profiles ✦ Adeptiv AI
BFSI Readiness Dedicated BFSI use cases: credit risk governance, investment research copilots under EU AI Act Annex III; SR 11-7 and EBA guidelines Financial services coverage via core platform; bias testing applicable to fair lending and discrimination obligations ✦ Adeptiv AI

Where the platforms diverge most

Four capability areas where architectural differences carry meaningful strategic implications for enterprise governance teams.

01

AI Visibility & Inventory

Integrated governance workflow vs. scan-based discovery ecosystem
Adeptiv AI
  • Inventory module auto-discovers and registers AI systems with structured registry: risk classifications, regulatory obligations, and lifecycle status across business units
  • Covers unregistered and shadow systems within the same inventory workflow; governance — not discovery alone — is the primary design goal
  • Inventory integrates directly with risk assessment and compliance mapping
Holistic AI
  • Scan-based discovery across AWS, Azure, GitHub, Databricks and 20+ SaaS integrations; surfaces unauthorized systems and assigns risk classifications
  • Identifies owners and maintains a live inventory that continuously updates to reflect the actual state of AI deployment
  • Purpose-built for shadow AI detection specifically — not a byproduct of broader governance workflows
02

Compliance Management & Regulatory Coverage

Regulatory breadth vs. automated enforcement controls
Adeptiv AI
  • Covers 38+ global regulations including EU AI Act, ISO 42001, NIST AI RMF, OECD AI Principles, and sector-specific frameworks
  • Generates audit-ready reports for internal reviews and external regulatory examinations
  • Gap analysis simultaneously informs compliance documentation and real-time monitoring priorities
Holistic AI
  • Covers primary international frameworks and NYC Local Law 144; risk scores mapped directly to regulatory requirements
  • Compliance automation includes deployment gates and kill switches that block non-compliant AI from reaching production
  • Enforcement controls operate as hard gates — not documentation-led compliance workflows
03

Runtime Monitoring & AI Observability

Broad production observability vs. agentic intervention layer
Adeptiv AI
  • Dedicated Real-Time AI Monitoring tracks production systems across 30+ metrics; detects risk signals continuously
  • Critical for regulated industries where AI outputs directly affect customers or financial decisions
  • Monitoring integrates with the governance lifecycle; alerts inform risk assessment and compliance documentation
Holistic AI
  • Guardian Agents provide a supervisory layer: Sentinel Agents observe behavior against governance policies
  • Operative Agents actively intervene, enforce controls, and remediate when risk thresholds are crossed
  • Architecture specifically designed for agentic AI systems that take autonomous actions in production
04

AI Risk Assessment & Technical Validation

Lifecycle-integrated risk vs. testing-intensive validation
Adeptiv AI
  • Gap analysis-based risk assessment integrated into governance workflows; assessments inform documentation, compliance mapping, and monitoring priorities
  • Prevents fragmentation between risk and compliance tools by connecting both in a single platform
  • Risk drives documentation and audit readiness across 38+ regulatory frameworks simultaneously
Holistic AI
  • Testing-intensive: 40+ specialized tests across bias, fairness, safety, toxicity, hallucination, prompt injection, adversarial attacks, and performance robustness
  • AI red teaming with jailbreak resistance evaluation for LLM and generative AI systems
  • Technical validation approach suited for organisations requiring empirical evidence of AI system behavior

Framework coverage matrix

Framework-by-framework coverage comparison across major global AI regulatory standards and sector-specific requirements. Verify coverage directly with each vendor before procurement decisions.

Regulatory Framework Adeptiv AI Holistic AI
EU AI Act (incl. Annex III high-risk system governance) ✓ Confirmed ✓ Confirmed
ISO/IEC 42001 — AI management system standard ✓ Confirmed ✓ Confirmed
NIST AI RMF — Risk management framework for AI ✓ Confirmed ✓ Confirmed
NYC Local Law 144 — Automated employment decision tools ✓ Confirmed ✓ Confirmed
OECD AI Principles — International AI trustworthiness standards ✓ Confirmed ~ Not specified as a primary framework
GDPR (AI-related data protection provisions) ✓ Confirmed ~ Not specified as a primary framework
Digital Operational Resilience Act (DORA) & Financial Data Mappings ✓ Confirmed ~ Not specified as a primary framework
Healthcare AI Regulations (WHO Considerations & CA SB 1120 / AB 3030) ✓ Confirmed ~ Not specified as a primary framework

Which platform fits which operational environment?

AI governance requirements vary significantly by sector. How each platform addresses the specific regulatory and operational demands of major industries.

🏦

Banking & Financial Services

Adeptiv AI
  • Dedicated use cases for credit risk governance and investment research copilots under EU AI Act Annex III
  • SR 11-7 and EBA guidelines within the 38+ regulation framework; AdeptivAI offers dedicated use cases for credit risk governance and investment research copilots under EU AI Act Annex III. The platform supports the complete governance lifecycle including automated risk assessment, real-time observability, and audit-ready documentation mapped natively to DORA and regional data privacy standards.
  • Complete lifecycle governance for credit scoring, fraud detection, and investment advisory AI
Holistic AI
  • Financial services coverage through core platform; bias and fairness testing directly applicable to credit decisioning systems
  • Fair lending and anti-discrimination regulations addressed via 40+ test framework
  • Continuous testing during model updates and retraining cycles for underwriting and scoring systems
🏥

Healthcare

Adeptiv AI
  • Documented healthcare use case covering AI-powered EHR analysis and patient summary systems
  • Provides governance infrastructure that makes clinical AI safe, explainable, and auditable for regulators and clinicians
  • FDA AI/ML guidance within the 38+ regulation framework; real-time drift detection for patient-facing models
Holistic AI
  • Continuous monitoring and bias testing directly applicable to clinical AI where model drift carries patient safety implications
  • Demographic bias testing for diagnostic and treatment AI systems
  • Testing framework applicable across model updates and retraining cycles in clinical environments
⚙️

Manufacturing & Aviation

Adeptiv AI
  • Real-time monitoring directly relevant to environments where AI performance degradation has immediate operational consequences
  • Continuous risk detection in safety-critical deployments for predictive maintenance and quality control
  • Multi-jurisdictional compliance for manufacturers operating across multiple regulatory environments internationally
Holistic AI
  • Lifecycle governance capabilities apply across industrial AI deployments with stringent safety obligations
  • Continuous monitoring supports environments where AI performance degradation has operational consequences
  • Guardian Agent architecture applicable for autonomous AI in industrial operational technology environments
🔒

Insurance

Adeptiv AI
  • BFSI coverage extends to insurance: underwriting models, claims processing automation, and fraud detection under multi-jurisdictional scrutiny
  • Complete lifecycle governance for AI systems across the insurance value chain
  • Retroactive governance coverage for AI already embedded in regulated insurance workflows
Holistic AI
  • Bias testing framework directly applicable to insurance underwriting models subject to anti-discrimination regulations
  • Continuous testing during model updates and retraining cycles relevant to claims and pricing AI
  • Shadow AI scanning addresses unsanctioned tool adoption in large insurance operational workforces

AI Adoption Is Outpacing AI Governance.

AI governance is not a tool implementation. It's an organisational transformation.

We combine the most comprehensive AI governance platform with the expert implementation, training, and continuous programme support that make governance actually work inside your organisation.

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Frequently Asked Questions

Questions frequently raised by CIOs, CISOs, and compliance leaders during AI governance platform evaluation.

Adeptiv AI focuses on unified operational AI lifecycle governance — connecting inventory, risk assessment, compliance, and real-time monitoring across 38+ regulations in a single integrated platform. Holistic AI uses an "Identify, Protect, Enforce" framework with deep technical testing capabilities and an agentic AI supervision layer called Guardian Agents.

One optimises for lifecycle governance breadth and regulatory documentation depth; the other for enforcement depth, technical validation, and agentic AI oversight.
Both platforms cover EU AI Act compliance. Adeptiv AI includes it within its 38+ regulation framework with specific support for high-risk AI system governance under Annex III classifications. Holistic AI's compliance automation includes EU AI Act framework mapping, gap analysis, and evidence collection.

For EU AI Act compliance specifically, the differentiation lies in whether you need EU AI Act as part of a broader multi-jurisdictional compliance stack (Adeptiv AI) or as a standalone framework with automated enforcement controls including deployment gates and kill switches (Holistic AI).
Both platforms address BFSI AI governance but from different angles. Adeptiv AI has documented industry-specific use cases for credit risk governance and investment advisory AI systems, with audit-ready documentation designed for regulatory examination defensibility — the Digital Operational Resilience Act (DORA) and comprehensive regional data protection laws beyond the EU.

Holistic AI's bias and fairness testing suite is directly applicable to financial services models subject to fair lending and anti-discrimination regulations. If regulatory examination readiness is the priority, Adeptiv AI's BFSI focus is an advantage. If technical bias validation is the priority, Holistic AI's 40+ test framework is more directly relevant.
Guardian Agents are autonomous supervisory agents with two tiers: Sentinel Agents observe deployed AI behavior against defined governance policies in real time, while Operative Agents actively intervene, enforce controls, and remediate when risk thresholds are crossed. This architecture is specifically designed for agentic AI systems that take autonomous actions in production.

Adeptiv AI's continuous oversight centres on its real-time monitoring platform (30+ metrics) and integrated governance workflows — it provides operational observability but does not include an autonomous agent-based intervention mechanism equivalent to Guardian Agents.
Holistic AI provides purpose-built automated scanning across cloud platforms (AWS, Azure), code repositories (GitHub), and SaaS applications (Databricks plus 20+ integrations) to detect unauthorized shadow AI. The system surfaces unregistered systems, assigns risk classifications, identifies owners, and maintains a live inventory that continuously updates.

Adeptiv AI provides organisation-wide AI inventory discovery as part of its governance platform. For organisations with distributed cloud and SaaS environments where shadow AI is a primary concern, Holistic AI's discovery architecture is more specifically designed for that problem.
Both platforms address generative AI governance, but with meaningfully different approaches. Holistic AI has more explicit and purpose-built capabilities for LLM governance: dedicated red teaming, hallucination detection, prompt injection testing, jailbreak resistance evaluation, and adversarial attack simulation.

Adeptiv AI supports LLM system lifecycle governance within its broader platform — managing LLM systems through the same inventory, risk assessment, and compliance framework as other AI models. If deep empirical technical validation of LLM behaviour is required, Holistic AI is more directly relevant.
Adeptiv AI explicitly covers 38+ global AI regulations, providing broad multi-jurisdictional coverage including OECD AI Principles, GDPR AI-related provisions, sector-specific banking (SR 11-7, EBA) and healthcare (FDA AI/ML) regulations, and numerous national and regional frameworks.

Holistic AI focuses primarily on major international frameworks (EU AI Act, NIST AI RMF, ISO 42001) and U.S.-specific legislation including NYC Local Law 144. For organisations operating across multiple geographies with diverse regulatory obligations, Adeptiv AI's breadth reduces multi-jurisdictional complexity significantly.
Yes. Adeptiv AI provides a dedicated Real-Time AI Monitoring capability tracking 30+ metrics in production with continuous risk detection. Holistic AI provides continuous monitoring through its testing framework and Guardian Agents, which observe model behaviour at runtime and can intervene when risk thresholds are crossed.

Adeptiv AI's approach provides broad operational observability across traditionally deployed models; Holistic AI's Guardian Agent architecture is more relevant for organisations deploying agentic AI systems that take autonomous actions in production.
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