# 2021.AI

- Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company
- Location: Copenhagen, Denmark
- Website: https://2021.ai
- AI agent profile: https://nowen.ai/agents/2021-ai
- Updated: 2026-09-28
- Read by AI assistants from: OpenAI, Perplexity, Meta

> 2021.AI is a European AI governance platform helping organizations scale AI responsibly through governance, risk management, and operations.

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:** Our Mission At 2021.AI, our mission is to close the gap between AI ambitions and real value from AI

## Products & Services

### [GRACE AI Platform](https://2021.ai/grace-ai-platform)
*Platform*
Centralize and govern your AI operations efficiently and responsibly.
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: Pricing not published

- **AI Security** — Safeguard Your AI Assets
- **AI Auto Registry** — Track All AI Assets Effortlessly
- **Chat Guardian** — Prevent Data Breaches Instantly
- **EU AI Act and GDPR Compliance** — Ensure Regulatory Adherence
- **Audit Trail** — Tracks Every Warning
- **GDPR Data Scanning** — Scans All Data Inputs
- **Real-Time Interception** — Blocks Sensitive Transfers Immediately
- **Model Operations** — Maintain Performance and Compliance
- **Auditability and reporting** — Enables Compliance Monitoring
- **Governance and risk management** — Streamlines Risk Management
- **Policy enforcement** — Ensures Compliance with Regulations
- **On-premises deployment** — Maximize Data Control
- **AI Initiative Acceleration** — Enhances Project Delivery Speed
- **AI Registry** — Maintain Up-to-date AI Inventory
- **Governance and Risk Controls** — Ensure Compliance and Safety
- **Real-time Monitoring** — Track AI Operations Seamlessly
- **AI Gateway** — Control AI Access Seamlessly
- **Context-Aware Risk Scoring** — Assesses Data Sensitivity
- **Full Audit Trail of GDPR Warnings** — Documents Compliance Efforts
- **GenAI Chat and Assistants** — Facilitates Chat and Assistant Building
- **Scalable GenAI Deployment** — Enables Business Growth
- **Governance Integration** — Ensures Compliance and Oversight
- **Model Deployment** — Deploy AI Models Effectively
- **Model Development** — Create AI Models Seamlessly
- **AI Registry** — Enhances Oversight of AI Landscapes
- **Real-time compliance monitoring** — Facilitates Immediate Response to Violations
- **Security and scalability** — Ensure Compliance
- **Comprehensive AI Governance** — Maintains Regulatory Compliance
- **Data Security and Privacy** — Protects Sensitive Information
- **AI Portfolio Management** — Manage AI Projects Effectively
- **Hub & Spoke Centralization** — Promote Decentralized AI Innovation
- **Gatekeeper Agent** — Monitor Unapproved AI Tools
- **Rerouting to Compliant Models** — Directs Data to Safe Models
- **Use Case Creation** — Supports Custom Use Case Development
- **On-Premises Deployment** — Ensures Data Sovereignty
- **PII Detection** — Enhances Data Protection
- **On-Prem and Cloud Deployment** — Choose Your Deployment Environment
- **Cross-organizational collaboration** — Improves Governance Efficiency
- **Integrated Collaboration Tools** — Enhances Team Coordination
- **AI Governance Framework** — Streamline Compliance Processes
- **Stakeholder Collaboration** — Foster Team Collaboration
- **Cost Monitoring** — Manage AI Expenses Effectively
- **Integration with Existing Infrastructure** — Facilitate Smooth Deployment

## Who we serve

### Tech And Ai First Enterprises
Large tech and AI-first firms scaling AI programs globally.
- Industries: Technology, Software, AI Services
- Geography: Global with focus on North America and Europe
- Pain points: Fragmented governance across teams, difficulty scaling AI governance, risk and compliance bottlenecks
- Business 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.
- Industries: Public Sector, Government
- Geography: Europe and North America
- Pain points: Regulatory compliance, transparency, auditability, public accountability
- Business 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.
- Industries: Financial Services, Banking
- Geography: Europe and North America
- Pain points: Regulatory risk, governance gaps, model risk, data privacy
- Business 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
- Business 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

- **AI governance and model risk management** (market size $5.7B, CAGR 12.9%): 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** (market size $3.5B, CAGR 42%): 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** (market size $4.0B, CAGR 21.8%): 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** (market size $186M, CAGR 39%): 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

## Sources

- [2021.AI](https://2021.ai)
- [GRACE AI Platform](https://2021.ai/grace-ai-platform)
- [Market projected from USD 5.7 billion in 2024 to USD 10.5 billion by 2029; CAGR 12.9%.](https://www.marketsandmarkets.com/Market-Reports/ai-model-risk-management-market-145025445.html)
- [Market size valued at USD 5.87 Billion in 2025; expected USD 19.10 Billion by 2035; CAGR 12.52%.](https://www.snsinsider.com/reports/ai-model-risk-management-market-8466)
- [Market Size Value in 2024: USD 5,703.02 Million; revenue forecast USD 19,036.19 Million by 2034; CAGR 12.8%.](https://www.polarismarketresearch.com/press-releases/ai-model-risk-management-market)
- [2024 Market Size$ 3.127 USD Billion; CAGR (2025 - 2035)39.8%.](https://www.marketresearchfuture.com/reports/mlops-market-18849)
- [The global MLOps market size was valued at USD 2.98 billion in 2025... CAGR of 45.8% during the forecast period.](https://www.fortunebusinessinsights.com/mlops-market-108986)
- [Starting at USD 4.52 Billion in 2026... projected to reach USD 73.71 Billion; CAGR of 41.8% (2026–2035).](https://www.businessresearchinsights.com/market-reports/machine-learning-operations-mlops-market-109238)
- [projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.](https://www.marketsandmarkets.com/Market-Reports/ai-governance-market-176187291.html)
- [2024 Market Size$ 3.1 Billion ... CAGR (2025 - 2035)15.02%.](https://www.marketresearchfuture.com/reports/data-governance-market-2362)
- [AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.](https://www.forrester.com/blogs/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.](https://www.imarcgroup.com/ai-governance-market)
- [projected to reach USD 185.5 million in 2025 and grow at a compound annual growth rate of 39.0%](https://dimensionmarketresearch.com/report/ai-governance-market/)
- [Global RegTech market valued at USD 20,340.3 Million in 2024; CAGR 18.1% (2025–2032)](https://www.congruencemarketinsights.com/report/regtech-and-compliance-automation-market)
- [RegTech market valued at $12.6 billion in 2023 and expected to reach ~$104.17 billion by 2034 at a CAGR of ~21.3%.](https://www.pe150.com/p/the-multi-billion-dollar-market-of-tech-enabled-regulatory-compliance)
- [AI training dataset market was valued at USD 2,400 Million and expected to grow at a CAGR of around 21.5% (2024-2032).](https://univdatos.com/reports/ai-training-dataset-market)