Adeptiv
Adeptiv AI is an enterprise AI Governance platform that discovers AI systems, automates compliance across global regulations, assesses and manages AI risk, and continuously monitors model behavior to keep AI systems trusted, safe and audit-ready.
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Adeptiv
Adeptiv AI is an enterprise-focused AI Governance platform designed to automate discovery, risk assessment, compliance and continuous monitoring of AI systems across their lifecycle. The platform auto-discovers models, datasets and pipelines to build an organization-wide AI inventory; maps artifacts to 30+ global regulations and standards; generates audit-ready evidence and reports; and continuously monitors model behavior with real-time metrics and alerts. Adeptiv targets regulated enterprises (banking, finance, insurance, healthcare and others) that need to maintain traceability, mitigate bias and meet regulatory and audit requirements while accelerating AI adoption.
Adeptiv AI is an enterprise AI Governance platform that discovers AI systems, automates compliance across global regulations, assesses and manages AI risk, and continuously monitors model behavior to keep AI systems trusted, safe and audit-ready.
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Claim this listingKey Features
AI Inventory Management
Auto-discover models, datasets and pipelines across the organisation and build a searchable AI catalog to track lifecycle, ownership and artifacts.
AI Risk Assessment
Contextual risk scoring and gap analysis for AI systems with guided mitigation actions and prioritized risk controls for high-impact systems.
AI Regulatory Compliance
Pre-built mappings and templates for 30+ global regulations and standards (including EU AI Act, ISO/IEC 42001, NIST AI RMF) with audit-ready reports and conformity artifacts.
Real-Time Monitoring & Alerts
Continuous monitoring of model behavior with drift detection, bias monitoring, compliance posture dashboards and real-time alerts across 30+ metrics.
Fairness & Bias Testing
Automated cohort-based fairness and bias metrics with recommended remediation steps to detect and mitigate unfair outcomes.
Explainability & Model Cards
Auto-generated model cards and explainability artifacts (SHAP/LIME support) including data lineage, limitations and interpretability outputs.
Compliance Mapping & Audit Evidence
One-click mapping to regulations, exportable evidence packs, regulator-ready reports and immutable logs for audit purposes.
Policy Automation & Approvals
Role-based workflows, sign-offs, human-review gates and policy automation to enforce governance processes and approvals.
Integrations & APIs
Connectors and API support to integrate with Snowflake, Databricks, MLflow, GitHub, S3, Okta and enterprise SIEMs for data, model and identity integrations.
Drift Detection & Continuous Oversight
Monitoring for distribution drift, performance degradation and compliance-relevant behavior with dashboards and scoring.
Audit-Ready Reporting
Automated generation of audit reports, impact assessments, and evidence tied to regulatory obligations to reduce manual audit effort.
Hybrid & On-Prem Deployment
Support for hybrid and on-prem deployments to meet data sovereignty and regulated environment requirements.
Pricing
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Use Cases
AI-Driven Credit Risk Governance
Continuous risk scoring, bias detection and regulatory reporting for credit decisioning models to meet banking regulators and audit requirements.
Shadow AI & Vendor Model Control
Detection of unapproved tools and third-party models to prevent data leakage, reduce vendor risk and enforce sanctioned model usage.
Regulatory-Ready AI Audits
Automated compliance gap analysis, documentation and evidence generation to streamline regulator audits and internal compliance reviews.
Underwriting & Claims Automation Oversight
Govern underwriting, pricing and claims automation models with bias detection, risk scoring and audit trails to ensure fairness and compliance.
Clinical AI Risk Governance
Continuous assessment and compliance oversight for diagnostic and clinical decision models, ensuring patient data privacy, safety and regulatory adherence.
Enterprise AI Inventory & Lifecycle Management
Discover and manage AI systems across development, deployment and retirement to maintain traceability and readiness for audits.
Integrations
Snowflake
Connect data warehouse artifacts and datasets for discovery and lineage mapping.
Databricks
Integrate Databricks model and data pipelines for inventory and monitoring.
MLflow
Attach model metadata, runs and artifacts to populate the AI catalog and model provenance.
GitHub
Link code repositories for versioning, traceability and policy enforcement.
S3
Access stored datasets and artifacts for lineage, discovery and evidence generation.
Okta
Integrate identity and access management for role-based workflows and approvals.
Enterprise SIEMs
Forward logs and alerts to security information and event management systems for centralized monitoring.
SHAP / LIME
Integrate explainability libraries to produce interpretable model artifacts and explanations.
Benefits
Limitations
Frequently Asked Questions
What is AI Governance?
How does Adeptiv AI help with the EU AI Act?
Can Adeptiv AI run on-prem?
How quickly can we onboard?
Do you support XAI tools?
Getting Started
- 1 Step 1: Book a demo or contact Adeptiv via the website to discuss use cases and requirements.
- 2 Step 2: Pilot and inventory discovery — typical piloting and inventory can begin within 2–6 weeks depending on scale and integrations.
- 3 Step 3: Integrate connectors (Snowflake, Databricks, MLflow, GitHub, S3, Okta, SIEMs), configure policies and workflows, and begin continuous monitoring and reporting.
Support
Book a demo
Schedule a 20-minute demo via the website to see the platform and discuss requirements.
Contact (sales/support)
Contact Adeptiv via the Contact Us page for sales inquiries, onboarding and support.
Documentation & Resources
Access whitepapers, blogs, glossaries, webinars and podcasts from the Resources section on the website.
Community / Social
Follow Adeptiv AI on LinkedIn, X and Instagram for updates and insights.
API
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