2021.AI
Unclaimed2021.AI is a European AI governance platform helping organizations scale AI responsibly through governance, risk management, and operations.
Overview
2021.AI is a European AI governance platform that helps organizations scale artificial intelligence responsibly. It enables governance, risk management, and operations across industries and public institutions, supporting safe, compliant AI adoption and ongoing oversight of AI use. The organization’s mission is to close the gap between AI ambitions and real value from AI, and it serves a global clientele of private companies and public institutions, helping them build trustworthy AI ecosystems, align AI initiatives with global regulations, and manage data, ethics, and risk throughout the AI lifecycle. Founded in 2016 by Mikael Munck, 2021.AI focuses on democratizing access to AI by delivering end-to-end capabilities for modeling, platform governance, and responsible deployment.
Mission statement
Our Mission At 2021.AI, our mission is to close the gap between AI ambitions and real value from AI
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What we offer
GRACE AI Platform
Centralize and govern your AI operations efficiently and responsibly.
Pricing not published
2021.ai/grace-ai-platformWho do we serve
Tech And Ai First Enterprises
Large tech and AI-first firms scaling AI programs globally.
Geography: Global with focus on North America and Europe
Pain points: Fragmented governance across teams, difficulty scaling AI governance, risk and compliance bottlenecks
Goals: Scale AI safely, improve governance visibility, reduce regulatory risk
Positioning: A centralized AI governance platform that unifies assets, enforces policies, and provides risk, compliance, and operational oversight for enterprise AI programs at scale.
Public Sector AI Governance Leaders
Public agencies requiring accountable AI governance.
Geography: Europe and North America
Pain points: Regulatory compliance, transparency, auditability, public accountability
Goals: Ensure compliant AI use, transparency, public trust
Positioning: A centralized governance platform delivering policy enforcement, risk monitoring, and auditability tailored for public sector AI programs.
Financial Services AI Risk Leaders
Banks and financial services firms needing AI risk controls and regulatory compliance.
Geography: Europe and North America
Pain points: Regulatory risk, governance gaps, model risk, data privacy
Goals: Reduce model risk, comply with AI Act and GDPR, improve governance
Positioning: A centralized AI governance platform for financial services, enabling risk management, compliance, and secure AI deployment.
Global Enterprise AI Program Leaders
Large multinational firms seeking centralized governance for AI use cases.
Geography: Global
Pain points: Disparate governance, inconsistent policy enforcement, cross-border data handling
Goals: Standardize AI governance across divisions, reduce risk, accelerate deployment
Positioning: A centralized AI governance platform that standardizes policy enforcement and risk management across diverse AI use cases while enabling rapid deployment.
Market segments
Market size by segment
Growth potential (CAGR)
AI governance and model risk management
Capabilities to inventory AI systems, maintain an AI risk register, assess model risks, and enforce governance controls for responsible AI and regulatory expectations.
Products: GRACE AI Platform
MLOps and model deployment
Practices and platforms for ML lifecycle management, CI/CD for models, private LLM deployment, monitoring, and cloud readiness for production models.
Products: GRACE AI Platform
AI governance and data security
Governance, access control, audit, and privacy controls that manage model usage, protect sensitive information, and ensure compliance when scaling AI over corporate knowledge.
Products: GRACE AI Platform
Regulatory compliance and certification for AI
Processes and artifacts to prepare for, demonstrate, and maintain compliance with AI-specific regulations and standards (for example the EU AI Act), including third-party validation and certification pathways.
Products: GRACE AI Platform
More information about our offering
GRACE AI Platform
GRACE AI Platform is a comprehensive AI governance and operations platform designed to centralize AI programs, manage risk, and enable scaling across the lifecycle. It supports a hub-and-spoke model that centralizes AI assets, governance, and portfolio management, with modular components for GenAI, MLOps, Governance, and AI Security.
Pricing not published
- Safeguard Your AI AssetsProtect sensitive data and ensure that AI tools are accessed and used in a controlled manner.
- Track All AI Assets EffortlesslyThe AI Auto Registry provides a comprehensive view of all AI operations, ensuring that every use case, model, and dataset is logged and monitored in real time.
- Prevent Data Breaches InstantlyChat Guardian acts as a proactive measure against data leaks by screening all interactions, ensuring that sensitive data is flagged or blocked before reaching AI models.
- Ensure Regulatory AdherenceGRACE AI Security is designed with European regulations from the ground up, automatically classifying use cases and logging decisions for compliance.
- Tracks Every WarningEvery warning triggered by Chat Guardian is automatically saved, providing security teams with insights for compliance and audit purposes.
- Scans All Data InputsMitigates the risk of GDPR breaches by monitoring data shared with AI tools.
- Blocks Sensitive Transfers ImmediatelyPrevents unauthorized data exposure by warning or blocking users at the point of interaction.
- Maintain Performance and ComplianceGRACE MLOps provides tools for ongoing model monitoring, ensuring that AI applications perform effectively and adhere to regulatory requirements.
- Enables Compliance MonitoringThe feature allows comprehensive reporting on AI governance actions, ensuring organizations meet compliance and regulatory requirements.
- Streamlines Risk ManagementThis feature helps maintain oversight of AI systems, assisting organizations in identifying and managing potential risks associated with AI usage.
- Ensures Compliance with RegulationsBy enforcing policies, this feature secures adherence to established guidelines and industry regulations during AI operations.
- Maximize Data ControlBy using on-premises solutions, organizations maintain full control over sensitive data, avoiding risks associated with external cloud environments.
- Enhances Project Delivery SpeedStreamlines processes to reduce time-to-market for AI solutions, allowing organizations to capitalize on AI opportunities faster.
- Maintain Up-to-date AI InventoryAutomatically monitor and document all AI resources used within the organization, facilitating compliance and oversight.
- Ensure Compliance and SafetyImplement necessary risk management practices that ensure all AI projects adhere to regulatory standards.
- Track AI Operations SeamlesslyMonitor the effectiveness and compliance of AI initiatives in real-time, adapting strategies proactively.
- Control AI Access SeamlesslyThe AI Gateway governs which AI models and services employees can access, ensuring compliance with usage policies while enhancing security.
- Assesses Data SensitivityClassifies data according to GDPR definitions to systematically safeguard sensitive information.
- Documents Compliance EffortsProvides evidence of compliance through detailed logging, essential for audits and regulatory reviews.
- Facilitates Chat and Assistant BuildingCreate intuitive chat interfaces and personalized AI assistants to streamline user interactions and enhance engagement.
- Enables Business GrowthFacilitates the expansion of AI capabilities to meet increasing business demands, ensuring performance and efficiency.
- Ensures Compliance and OversightEquips organizations with the necessary controls and frameworks to maintain regulatory compliance and ethical AI practices.
- Deploy AI Models EffectivelyGRACE MLOps simplifies and secures the deployment of AI models into production environments, ensuring compliance with organizational policies.
- Create AI Models SeamlesslyThe platform offers an integrated development environment for building and refining AI models, enabling faster time-to-market and decreased operational overhead.
- Enhances Oversight of AI LandscapesThe AI Registry automatically tracks all AI models and systems in use, providing organizations insight into their AI operations.
- Facilitates Immediate Response to ViolationsThis feature ensures organizations can swiftly address compliance issues as they arise, preventing escalation and risks.
- Ensure ComplianceDesigned to comply with GDPR and other regulations, ensuring organizations can scale their AI initiatives without compromising on security.
- Maintains Regulatory ComplianceIntegrates governance frameworks to ensure alignment with industry regulations and standards, minimizing risks associated with AI deployment.
- Protects Sensitive InformationUtilizes advanced security protocols to safeguard data against unauthorized access and ensure compliance with privacy laws.
- Manage AI Projects EffectivelyOptimize the allocation of resources and ensure that AI initiatives align with organizational goals.
- Promote Decentralized AI InnovationAllow various teams within the organization to innovate while keeping a cohesive governance strategy.
- Monitor Unapproved AI ToolsGatekeeper Agent detects and reports the use of unauthorized AI tools across the organization, aiding in compliance and governance.
- Directs Data to Safe ModelsEnsures compliance by steering sensitive tasks towards secure and compliant AI solutions.
- Supports Custom Use Case DevelopmentEnable organizations to build tailored AI solutions for specific needs, enhancing flexibility and responsiveness in various applications.
- Ensures Data SovereigntyAllows organizations to maintain complete control over their data and ensure compliance with stringent regulations by hosting on their infrastructure.
- Enhances Data ProtectionReal-time monitoring for personally identifiable information (PII) ensures compliance and reduces regulatory risks.
- Choose Your Deployment EnvironmentGRACE MLOps allows organizations to deploy AI solutions in diverse environments while maintaining full control and security over sensitive data.
- Improves Governance EfficiencyEncourages seamless cooperation among various teams to enhance decision-making processes related to AI governance.
- Enhances Team CoordinationEncourages cross-departmental collaboration to foster innovation and efficiency in AI initiatives.
- Streamline Compliance ProcessesAutomates tracking and management of compliance requirements to optimize oversight over AI assets.
- Foster Team CollaborationEnhance communication and role clarity to streamline AI project workflows across departments.
- Manage AI Expenses EffectivelyThe cost monitoring feature allows organizations to allocate resources wisely, ensuring optimal use of financial investments in AI initiatives.
- Facilitate Smooth DeploymentEnables ongoing operations while integrating advanced AI capabilities into established workflows.
Sources
Methodology and sourcing behind the figures and links shown above.
AI governance and model risk management
Estimate based on multiple specialized market reports for AI model risk management: three independent vendors report a 2024–2025 market base around USD 5.7–5.87 billion and CAGRs in the ~12.5–12.9% range. I used the MarketsandMarkets 2024 model-risk-management estimate (USD 5.7B; 12.9% CAGR) corroborated by Polaris and SNS Insider figures showing similar base sizes and ~12.5–12.8% growth forecasts.
MLOps and model deployment
Synthesized figures from multiple industry reports in the provided search results. MarketResearchFuture reports a 2024 size of $3.13B (CAGR 39.8%), Fortune Business Insights reports $2.98B in 2025 (CAGR 45.8%), and BusinessResearchInsights reports $4.52B in 2026 (CAGR 41.8%). I used these explicit values and CAGRs to produce a midpoint current-size estimate (~$3.5B) and a consensus growth-potential estimate (~42% CAGR).
AI governance and data security
Estimate based on combining reported AI-governance market (~USD 0.89B in 2024) with data-governance/data-security market (~USD 3.1B in 2024). Weighted growth rates use high AI-governance CAGRs (25–45%+ in sources) and lower data-governance CAGRs (~15%), yielding an aggregate CAGR ≈21.8%. Sources cited below provide the specific market size and CAGR inputs used.
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- 2024 Market Size$ 3.1 Billion ... CAGR (2025 - 2035)15.02%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- market to reach USD 5,748.6 Million by 2034, exhibiting a CAGR of 35.25% from 2026-2034; 2025 market USD 353.1 Million.
Regulatory compliance and certification for AI
Estimate uses the Dimension Market Research AI Governance figure as the primary data point because "regulatory compliance and certification for AI" is a subset of AI governance. Dimension projects the global AI governance market at USD 185.5 million in 2025 with a 39.0% CAGR (2025–2034). Broader RegTech/ compliance-automation reports (Congruence, PE150) show much larger adjacent markets (USD 12.6–20.3B historical valuations) and double-digit CAGRs, supporting a high growth potential for AI-specific compliance and certification services.
- projected to reach USD 185.5 million in 2025 and grow at a compound annual growth rate of 39.0%
- Global RegTech market valued at USD 20,340.3 Million in 2024; CAGR 18.1% (2025–2032)
- RegTech market valued at $12.6 billion in 2023 and expected to reach ~$104.17 billion by 2034 at a CAGR of ~21.3%.
- AI training dataset market was valued at USD 2,400 Million and expected to grow at a CAGR of around 21.5% (2024-2032).
- 2021.AI
- GRACE AI Platform
- Market projected from USD 5.7 billion in 2024 to USD 10.5 billion by 2029; CAGR 12.9%.
- Market size valued at USD 5.87 Billion in 2025; expected USD 19.10 Billion by 2035; CAGR 12.52%.
- Market Size Value in 2024: USD 5,703.02 Million; revenue forecast USD 19,036.19 Million by 2034; CAGR 12.8%.
- 2024 Market Size$ 3.127 USD Billion; CAGR (2025 - 2035)39.8%.
- The global MLOps market size was valued at USD 2.98 billion in 2025... CAGR of 45.8% during the forecast period.
- Starting at USD 4.52 Billion in 2026... projected to reach USD 73.71 Billion; CAGR of 41.8% (2026–2035).
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- 2024 Market Size$ 3.1 Billion ... CAGR (2025 - 2035)15.02%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- market to reach USD 5,748.6 Million by 2034, exhibiting a CAGR of 35.25% from 2026-2034; 2025 market USD 353.1 Million.
- projected to reach USD 185.5 million in 2025 and grow at a compound annual growth rate of 39.0%
- Global RegTech market valued at USD 20,340.3 Million in 2024; CAGR 18.1% (2025–2032)
- RegTech market valued at $12.6 billion in 2023 and expected to reach ~$104.17 billion by 2034 at a CAGR of ~21.3%.
- AI training dataset market was valued at USD 2,400 Million and expected to grow at a CAGR of around 21.5% (2024-2032).
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