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Lumenova AI Inc.

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www.lumenova.aiUpdated

Lumenova AI provides an all-in-one Responsible AI governance and risk management platform.

Overview

Lumenova AI is a technology company that provides a platform for responsible AI governance and risk management. The organization offers an all-in-one platform to govern, evaluate, and monitor AI systems across the lifecycle, including governance, risk management, inventory, evaluations, guardrails, and regulatory-compliance tools. It serves enterprises across industries, helping them implement accountable, safe, and compliant AI through proactive risk management, policy enforcement, and continuous monitoring. The platform emphasizes transparency, explainability, security, privacy, and regulatory alignment, enabling teams to reduce risk, accelerate responsible AI adoption, and build trust.

Mission statement

To empower organizations to govern, evaluate, and manage the risks of AI with flexible, scalable Responsible AI solutions that enable safe, compliant, and trustworthy AI deployments.

Read recently by Meta, Amazon

What we offer

AI Platform (Lumenova Platform)

Streamline your AI governance with integrated tools for risk management and compliance.

Pricing not published

www.lumenova.ai/platform/

AI Assurance

Builds Trust in AI Systems Through Transparency and Audibility

Pricing not published

www.lumenova.ai/solutions/ai-assurance-use-case/

AI Observability

Enhance AI reliability and compliance through comprehensive observability and real-time monitoring.

Pricing not published

www.lumenova.ai/solutions/ai-observability-use-case/

AI Evaluations

Ensure AI systems are safe, fair, and compliant through comprehensive evaluation processes.

Pricing not published

www.lumenova.ai/solutions/ai-evaluations-use-case/

AI Inventory

Ensure comprehensive governance and compliance across all your AI systems with Lumenova's AI Inventory solution.

Pricing not published

www.lumenova.ai/solutions/ai-inventory-use-case/

AI Risk Management

Ensures comprehensive governance and proactive risk management for AI systems.

Pricing not published

www.lumenova.ai/solutions/ai-risk-management-use-case/

Colorado Regulation SB21-169

Helps life insurers meet Colorado Regulation SB21-169 compliance through robust AI governance and ethical data practices.

Pricing not published

www.lumenova.ai/solutions/colorado-ai-regulation/

EU AI Act Compliance

Ensure compliance with the EU AI Act through structured governance and risk management.

Pricing not published

www.lumenova.ai/solutions/eu-ai-act-compliance/

NYC Local Law 144 Compliance

Achieve compliance with NYC Local Law 144 to ensure fair automated decision-making in hiring.

Pricing not published

www.lumenova.ai/solutions/nyc-local-law-144-compliance/

ISO 42001 Compliance

Streamline AI governance and compliance with ISO 42001 support.

Pricing not published

www.lumenova.ai/solutions/iso-42001-compliance/

NIST AI RMF

Facilitates comprehensive risk management of AI systems through the NIST AI RMF.

Pricing not published

www.lumenova.ai/solutions/nist-ai-risk-management-framework/

Market segments

Market size by segment

Growth potential (CAGR)

AI governance and compliance

2.2 Billion USD30% CAGR

Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.

Products: AI Assurance, AI Risk Management, AI Platform (Lumenova Platform), EU AI Act Compliance, ISO 42001 Compliance, NIST AI RMF, Colorado Regulation SB21-169, NYC Local Law 144 Compliance

Model Risk Management and Assessment

1.5 Billion USD12% CAGR

Frameworks and automated workflows to identify, score, and mitigate inherent and residual model risks through structured assessments and compliance checks.

Products: AI Evaluations, AI Risk Management, AI Assurance, NIST AI RMF, AI Platform (Lumenova Platform)

Model monitoring and observability

2.5 Billion USD13% CAGR

Capabilities for production monitoring of ML models including data drift detection, custom metrics, real-time alerts, execution tracing, and lifecycle observability to maintain model reliability in production.

Products: AI Observability, AI Platform (Lumenova Platform), AI Evaluations

AI Inventory and Lifecycle Management

2 Billion USD30% CAGR

Centralized asset cataloging, metadata tracking, and lifecycle workflows that provide a single source of truth for models, use cases, and ownership for governance and reporting.

Products: AI Inventory, AI Platform (Lumenova Platform), AI Assurance

More information about our offering

AI Platform (Lumenova Platform)

Lumenova AI offers an all-in-one platform to govern, evaluate, and monitor AI systems across the lifecycle, including governance, risk management, inventory, evaluations, guardrails, and regulatory-compliance tools.

Pricing not published

  • Gain Unified Insight
    Achieve real-time visibility into all aspects of AI governance, ensuring everything from risk assessment to compliance is easily accessible.
  • Ensure Continuous Oversight
    Maintain comprehensive control throughout the entire AI lifecycle, from initial data usage to final model deployment.
  • Facilitate Compliance
    Utilize built-in frameworks that adapt to evolving regulations, ensuring your AI systems adhere to legal standards.
  • Monitor Performance Actively
    Proactively identify and resolve performance issues, ensuring consistently reliable AI outputs.
  • Enhance Model Integrity
    Perform robust evaluations on AI systems to ensure they meet fairness and reliability standards.
  • Protect Against Data Drift
    Automatically track and address deviations in data that could impair model accuracy.
  • Reduce Operational Risks
    Facilitate timely interventions to minimize risks associated with AI model failures.

AI Assurance

Lumenova AI helps organizations build trust in their AI systems through transparent, auditable, and explainable processes. The platform provides end-to-end traceability, comprehensive documentation, and explainability tools to support regulators, customers, and internal stakeholders, with governance framework integration.

Pricing not published

  • Ensures Complete Visibility
    Facilitates regulatory compliance and audit readiness by maintaining comprehensive logs of all AI activities.
  • Streamlines Audit Processes
    Helps organizations present thorough and structured documentation to meet compliance standards effectively.
  • Aligns with Regulatory Standards
    Ensures that organizations meet or exceed necessary regulatory requirements through seamless integration with established frameworks.
  • Enhances Stakeholder Confidence
    Equips teams with tools to demystify AI decisions, fostering trust and understanding among users and regulators.
  • Automates Compliance Evidence
    Facilitates ongoing compliance by providing real-time insights into model effectiveness and alignment with standards.

AI Observability

Continuous monitoring of AI systems in production to detect issues, drift, and performance changes. Provides centralized observability across applications, with real-time signals and configurable guardrails.

Pricing not published

  • Gain Instant Insights
    Access immediate alerts and insights to maintain control over AI performance.
  • Mitigate Risks Proactively
    Identify and address potential problems before they escalate into significant issues.
  • Customize Oversight
    Easily adapt governance protections to fit specific operational needs, ensuring versatility and compliance.
  • Ensure Consistent Performance
    Automatically assess model outputs for quality, performance, and compliance.
  • Ensure Accountability
    Maintain clear logs of all interactions to support audits and governance.
  • Enhance Operational Flexibility
    Quickly adapt prompts to better suit evolving AI needs and applications.

AI Evaluations

Platform to perform evaluation of AI models across risk metrics and regulatory considerations; includes model risk evaluation, production-ready assessments, and integration with risk management frameworks.

Pricing not published

  • Align Evaluations With Frameworks
    Ensure that all evaluations meet necessary standards, helping organizations maintain compliance and accountability.
  • Comprehensive Risk Assessment
    Evaluate models for various risks, ensuring holistic understanding and mitigation across different sectors.
  • Facilitate Continuous Monitoring
    Enable seamless integration of evaluations into production environments to maintain optimal performance and compliance.
  • Monitor AI Performance Live
    Maintain visibility over AI systems by conducting assessments as they operate, allowing for prompt corrective actions.
  • Tailor Evaluations to Needs
    Customize evaluation methodologies to align with specific organizational standards or sector requirements.

AI Inventory

Centralized inventory of AI systems with metadata, model cards, use-case registry, and asset catalog; enables governance, risk management, and regulatory reporting.

Pricing not published

  • Track AI Systems Easily
    Maintain a complete inventory of all AI systems deployed within the organization, ensuring visibility for governance and compliance.
  • Streamline Risk Management
    Integrate the inventory with existing governance frameworks to enhance risk and compliance alignment across business operations.
  • Enhance Transparency
    Automatically generate model cards to document key characteristics and performance metrics, facilitating transparency and audit readiness.
  • Monitor Model Context
    Capture essential information regarding each model's purpose and current status to support effective governance.
  • Centralize AI Resources
    Tag and categorize all AI assets, facilitating efficient searching and management within the organization.
  • Organize AI Applications
    Link each AI use case to its respective models and data sources, helping to understand their impact and operational context.

AI Risk Management

Framework to identify, assess, and mitigate AI-related risks with 360-degree visibility across models; aligns with regulatory requirements and risk management processes.

Pricing not published

  • Track Every AI Interaction
    Monitor all AI interactions from request to response, ensuring transparency and accountability.
  • Ensure Compliance
    Align AI operations with evolving legal frameworks, ensuring adherence to industry best practices.
  • Standardize Assessments
    Utilize configurable templates for repeatable risk evaluations tailored to specific AI applications.
  • Proactively Identify Risks
    Implement real-time alerts and monitoring to address issues before they escalate.
  • Streamline Compliance Processes
    Reduce manual oversight burdens and enhance operational efficiencies through automation.
  • Communicate Risk Posture
    Provide clear insights on risk levels to stakeholders and regulators.

Colorado Regulation SB21-169

Lumenova's platform offers advanced AI governance tools tailored for compliance with Colorado Regulation SB21-169, ensuring proper management of external consumer data and algorithmic fairness in the insurance sector.

Pricing not published

  • Facilitate Compliance With SB21-169
    Implement tailored controls and documentation processes to ensure adherence to Colorado SB21-169 requirements, protecting against unfair discrimination.
  • Ensure Responsible Data Practices
    Utilize tools designed to promote ethical use of external consumer data, minimizing risks of unfair discrimination within AI-driven insurance practices.
  • Mitigate AI Risks Effectively
    Establish a comprehensive risk management strategy to identify, assess, and monitor AI-related risks while ensuring alignment with regulatory expectations.
  • Streamline Compliance Assessment
    Leverage automation to continuously evaluate AI practices, ensuring ongoing compliance with legal standards and facilitating quick adjustments when needed.
  • Generate Comprehensive Compliance Reports
    Easily create detailed reports outlining compliance statuses and areas for improvement, promoting accountability and transparency in operations.

EU AI Act Compliance

Tailored solutions to navigate the EU AI Act with governance, risk management, and regulatory alignment.

Pricing not published

  • Align Requirements With Governance
    Translate the EU AI Act requirements into actionable governance practices to ensure compliance.
  • Maintain Regulatory Compliance
    Continuously adapt AI practices to align with the latest regulatory standards across different jurisdictions.
  • Facilitate Audit Readiness
    Ensure all AI system activities are traceable and comprehensively documented for regulatory bodies.
  • Streamline Compliance Evaluations
    Regularly assess compliance status to preemptively identify areas that need attention.
  • Implement Risk Mitigation Strategies
    Identify and manage risks associated with AI systems in compliance with the EU AI Act.
  • Promote Fair Decision-Making
    Audit processes to mitigate discrimination in AI decision-making tools.

NYC Local Law 144 Compliance

Tools to help organizations comply with NYC Local Law 144 for automated decision-making in employment processes.

Pricing not published

  • Monitor AI Decisions
    Continuously assess automated decision-making tools to prevent bias and ensure fairness in hiring practices.
  • Ensure Legal Compliance
    Align your AI systems with the legal requirements of NYC Local Law 144 for accountability and ethical hiring.
  • Perform Bias Audits
    Facilitate independent bias audits for thorough evaluation and transparency in AI usage.
  • Stay Informed
    Automatically track compliance changes and ensure timely adjustments to your AI systems.
  • Generate Reports
    Provide clear and accessible documentation of compliance statuses to stakeholders.
  • Integrate Expert Tools
    Access specialized guidance for effective integration of compliance tools in employment processes.

ISO 42001 Compliance

Tools to meet ISO 42001 challenges with AI governance and management system.

Pricing not published

  • Facilitates Compliance With ISO 42001
    Enables organizations to develop and manage AI systems in accordance with ISO 42001 guidelines, ensuring responsible AI implementation.
  • Aligns Risk Controls Effectively
    Streamlines the alignment of risk management processes with ISO 42001 standards, helping organizations identify and mitigate potential AI-related risks.
  • Ensures Up-To-Date Compliance
    Automatically incorporates updates to ISO 42001 standards, keeping organizations aligned with current requirements without the need for manual revision.
  • Monitors AI Risk Continuously
    Offers robust tools for continuous assessment and monitoring of AI risks, helping organizations stay ahead of potential compliance issues.

NIST AI RMF

Assistance to implement NIST AI RMF guidance for risk management of AI across the lifecycle.

Pricing not published

  • Aligns AI Practices With NIST Standards
    Ensures compliance with NIST AI RMF principles by integrating risk management processes tailored to organizational needs.
  • Integrates Key Governance Processes
    Embeds critical procedures into AI systems for effective risk management, ensuring robust oversight and alignment with strategic goals.
  • Generates Compliance Reports
    Provides comprehensive documentation that meets regulatory requirements, enhancing transparency and accountability.
  • Maintains Continuous Compliance
    Utilizes automated tools to ensure ongoing adherence to NIST and other regulatory standards, reducing risk exposure.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance and compliance

I used the provided market reports. Future Market Insights explicitly values the enterprise AI governance and compliance market at USD 2.20B in 2025 and served as the primary market-size source. Reported CAGRs vary (15.8%–51%); I selected a 30% CAGR as a conservative consensus estimate (median of cited forecasts) supported directly by Forrester and consistent with other sources showing high growth potential.

Model Risk Management and Assessment

Search results contained regulatory and industry discussions (Deloitte MRM guidance, academic work on AI for financial risk, and practitioner best-practices) but no explicit market-size figures. Using those signals (intense regulatory drivers: Basel/ECB/IFRS/FRTB references in the Deloitte piece, industry interest in MRM workflows and AI-enabled risk tooling from the arXiv and LinkedIn items) and internal market-hierarchy knowledge — MRM is a specialized subsegment of enterprise GRC/risk-management software focused on banks and large financial institutions — I estimate the current global market (software + services for model risk management and assessment) at roughly $1.5 billion. Growth potential is strong due to regulatory pressure, expanding model use (AI/ML), and demand for automated governance and monitoring; a mid-range CAGR estimate is ~12% over the next several years.

Model monitoring and observability

Estimates use multiple observability reports in the search results. Broad observability platforms are ~USD 11.7B (2026) with ~12.1% CAGR; data-observability reports show USD 1.9–2.9B (2025) with 11.6–15.4% CAGR. AI-in-observability projections (niche AI layer) show faster growth but represent overlapping, not-identical scope. Model-monitoring/observability is a focused subset of these markets, so a current (mid-2020s) market size of roughly USD 2.5B and a realistic CAGR potential ~13% align with the cited ranges.

AI Inventory and Lifecycle Management

Search results did not include an explicit market size for "AI Inventory and Lifecycle Management." I used the visible growth metric for closely related segments (AI in warehouse management: CAGR 39%) and domain knowledge about enterprise inventory/software adoption to estimate a smaller niche initial market (~$2.0B) with strong growth potential (≈30% CAGR). The estimate assumes the segment is a subset of broader AI-in-supply-chain and warehouse-AI markets, with faster adoption driven by governance, model cataloging, and lifecycle needs.

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