As AI rapidly becomes embedded across business-critical processes, organisations face growing pressure from regulators, boards, and customers to demonstrate transparency, accountability, and continuous control. At the same time, fragmented data environments, poor visibility, and static governance models are undermining confidence in AI outcomes. This partnership is built to change that — directly, and in real time.
Regulativ.ai and deltamap.io today announce a strategic partnership to help organisations operate, govern, and scale AI with confidence — by unifying regulatory intelligence with real-time, behaviour-based data observability. Together, the companies will help organisations gain real-time visibility, control, and confidence across their data, AI, risk, and compliance landscapes at a time when AI adoption and AI regulation are accelerating simultaneously.
⚠️ Key Insight
As AI systems scale — and increasingly interact with other AI systems autonomously — understanding data and model behaviour in real time is no longer optional. It is the foundation of trust required for scalable AI. And it is what regulators, boards, and enterprise customers are now demanding as a condition of doing business.
What Is Regulativ.ai?
Regulativ.ai is an AI-driven regulatory intelligence and compliance automation platform. It helps organisations navigate complex and rapidly evolving regulatory landscapes — including the EU AI Act, DORA, ISO 27001, SOC 2, GDPR, and a growing range of AI-specific frameworks — by transforming regulatory requirements into actionable, operational intelligence.
Rather than presenting compliance teams with lengthy documents to interpret manually, Regulativ.ai translates regulatory obligations into specific insights mapped to each organisation's AI systems, data practices, and risk profile — helping organisations interpret, operationalise, and stay ahead of regulatory requirements before deadlines arrive, not after incidents occur.
📋 Regulativ.ai — Key Facts
- AI-powered regulatory intelligence: Continuously monitors the EU AI Act, DORA, ISO 27001, SOC 2, GDPR, and sector-specific frameworks — surfacing obligations mapped to your systems in real time
- Actionable, not informational: Translates regulatory requirements into specific controls and actions for your AI systems and risk profile — not documents to interpret manually
- Proactive compliance management: Identifies gaps and required changes before audit cycles begin — enabling prevention rather than remediation
- Operationalised governance: Embeds regulatory intelligence directly into data and AI operations so compliance becomes a continuous function, not a periodic exercise
- Cross-framework unified control library: Pre-mapped across ISO 27001, SOC 2, GDPR, HIPAA, PCI DSS, NIST CSF, and AI-specific frameworks — build once, satisfy many
- Headquartered in London, UK: Serving regulated organisations across Europe, the Middle East, and globally
✅ What Makes Regulativ.ai Different
Regulativ.ai does not just tell you what regulations say — it tells you what they mean for your specific AI systems, data practices, and risk profile, and converts that into operational intelligence compliance and risk teams can act on immediately. Regulation becomes a live operational input, not a periodic compliance exercise that runs in isolation from the business.
What Is deltamap.io?
deltamap.io is a behaviour-based AI data content observability and data management platform. It delivers event-driven, real-time visibility into how data behaves and flows across complex environments — learning normal patterns, detecting meaningful deviations, and providing the foundation of trust required for scalable AI.
By leveraging advanced algorithms and the latest technologies — including advanced analytics and machine learning — deltamap.io transforms data chaos into cohesive, actionable intelligence. It identifies anomalies, data quality degradation, and lineage breaks as they occur, not days or weeks later when damage has already propagated through downstream systems.
📋 deltamap.io — Key Facts
- Behaviour-based observability: Learns what normal looks like across your data environment and detects meaningful deviations in real time — not just rule violations
- Event-driven, AI-powered architecture: Surfaces anomalies, data quality degradation, and content lineage breaks as they occur — enabling early intervention before consequences materialise
- AI data trust foundation: Provides the traceability, quality, and explainability that AI systems need to be trusted by regulators, customers, and internal stakeholders
- Production-environment focus: Designed for live, operational AI systems across complex, distributed data landscapes — not test environments or point-in-time snapshots
- Transforms data chaos into intelligence: Advanced algorithms and machine learning convert fragmented, distributed data signals into cohesive, actionable insight that governance teams can use
✅ What Makes deltamap.io Different
deltamap.io does not just monitor data — it understands how data behaves, learns what normal looks like, and surfaces meaningful deviations in real time across complex, distributed environments. It provides the operational insight and data trust foundation that responsible, scalable AI demands — and that modern regulation increasingly requires organisations to demonstrate.
Regulativ.ai × deltamap.io: Side-by-Side Comparison
The table below compares both platforms across 10 critical dimensions — from core capability and governance layer to what each delivers independently and what becomes possible only when they operate together.
| Dimension |
Regulativ.ai |
deltamap.io |
| Core Capability |
AI-Driven Regulatory Intelligence
Translates fast-evolving regulations into specific, actionable obligations mapped to your AI systems and risk profile. |
Behaviour-Based AI Data Observability
Delivers real-time, event-driven visibility into how data and AI systems actually behave across production environments. |
| Governance Layer |
Regulatory intelligence — tells you what is required |
Operational observability — tells you what is actually happening |
| Primary Output |
Regulatory obligations, control mappings, gap assessments, compliance posture |
Real-time anomaly detection, data quality and content lineage signals, behavioural audit trail |
| Frameworks Covered |
EU AI Act, DORA, ISO 27001, SOC 2, GDPR, FCA, EBA, and sector-specific AI regulations |
Data governance, AI operational resilience, content lineage and traceability for explainability obligations |
| Compliance Model |
Proactive
Identifies obligations before gaps become incidents or audit failures. Business and compliance models keep pace with AI innovation. |
Real-Time
Detects issues as they occur — not after they have propagated through production systems and the intervention window has closed. |
| Who It Serves |
Compliance, risk, legal, and governance teams navigating AI regulation |
Data engineering, AI operations (AIOps), and governance teams managing AI in production |
| Audit Readiness |
Regulatory mapping, control evidence, and compliance posture always current and available on demand |
Continuous, auditable record of data and AI behaviour — available for regulators, boards, and audit functions at any time |
| Data Intelligence |
Maps regulatory obligations to data practices, governance requirements, and AI system risk profiles |
Transforms data chaos into cohesive, actionable intelligence using advanced analytics and machine learning |
| Limitation Alone |
Knows what is required — but cannot see what AI systems are actually doing in production |
Sees what is happening — but without regulatory context, cannot determine what it means for compliance |
| Together |
Trusted, governed, and observable AI — regulatory obligations linked directly to live data and AI signals in production. Organisations always know what is required AND whether their systems are meeting it. In real time. With evidence that is always ready for scrutiny. |
Built for the New Reality of AI, Data & Regulation
Despite significant investment in data infrastructure, compliance tooling, and AI capability, most organisations still operate with a fundamental and widening governance gap. Business and compliance models that lag the pace of AI innovation are not a temporary inconvenience — they are a structural risk. These are the challenges that boards, regulators, compliance teams, and data engineers encounter every single day.
| # |
Challenge |
How the Partnership Addresses It |
| 01 |
Limited visibility into where data and AI are deployed across the enterprise |
deltamap.io delivers real-time, behaviour-based visibility across production AI environments. What was invisible — which systems are live, what data flows through them, how they behave — becomes continuously observable. |
| 02 |
Rising operational and regulatory risk across complex, distributed data pipelines |
Event-driven anomaly detection identifies quality degradation and compliance-relevant events as they occur — enabling early intervention before operational or regulatory consequences materialise downstream. |
| 03 |
Business and compliance models that lag the pace of AI innovation |
Regulativ.ai continuously monitors the regulatory environment and maps changes to live operational obligations — replacing periodic, retrospective compliance reviews with always-on regulatory intelligence that keeps pace with AI. |
| 04 |
Gaps in data quality, content lineage, and end-to-end processes that erode trust |
deltamap.io maintains a continuous, auditable record of data quality, content lineage, and behavioural history across end-to-end processes — so when AI decisions need to be explained, the evidence is complete, reliable, and immediately available. |
| 05 |
Fragmented ownership across data, risk, compliance, and AI operations teams |
The combined platform creates a shared, real-time view of governance status across data engineering, risk, compliance, and AI operations (AIOps) — breaking down the siloed ownership model that underlies so many governance failures. |
| 06 |
Difficulty demonstrating continuous compliance with emerging AI regulations |
Together, the platforms maintain a continuous, auditable record of governance, compliance posture, and AI behaviour — always ready for regulators, boards, and audit functions. Not assembled under pressure before an audit, but demonstrated continuously, every day, automatically. |
Complementary Capabilities, Stronger Outcomes
The partnership brings together two highly complementary capabilities — each powerful independently, and genuinely transformative when combined. By embedding regulatory intelligence and real-time observability directly into AI and data operations, organizations can unlock the full value of AI while maintaining trust with regulators, customers, and stakeholders.
| Platform |
What It Contributes to the Joint Offering |
Regulativ.ai
Regulatory Intelligence |
Provides AI-driven regulatory intelligence, helping organisations interpret, operationalise, and stay ahead of regulatory requirements — including fast-evolving AI regulations. Its platform translates regulatory obligations into actionable insights, enabling proactive risk and compliance management that keeps pace with AI innovation. |
deltamap.io
Data Observability |
Delivers AI-powered, event-driven data observability — providing real-time visibility into how data and AI systems behave across production environments. This enables early detection of anomalies, improved data integrity, and greater operational insight across data and AI pipelines. By transforming data chaos into cohesive, actionable intelligence, deltamap.io provides the foundation of trust required for scalable AI. |
Together, Regulativ.ai & deltamap.io Enable
When regulatory intelligence and real-time data observability operate together, the combined outcome is something neither platform can achieve independently: trusted, governed, and observable AI — with governance that is continuous, operational, and evidenced at every layer.
| # |
Outcome |
What It Means in Practice |
| 01 |
Operational AI Governance |
Regulatory obligations linked directly to live data and AI signals — not retrofitted through policy documentation. Governance becomes a real-time operational function embedded in daily processes across data engineering, risk, compliance, and AI operations (AIOps). |
| 02 |
Continuous Compliance |
Reactive, point-in-time assessments replaced with real-time, always-on oversight. Compliance becomes a continuous state — replacing periodic snapshots with ongoing monitoring that genuinely reduces risk rather than deferring it to the next annual review. |
| 03 |
Trusted Data & AI |
Improved data quality, content lineage, and traceability across every layer of the data and AI stack — supporting explainability, accountability, and audit readiness. The foundation of trust required for scalable AI, maintained continuously as a default operating state. |
| 04 |
Early Risk Detection |
Early identification of data and AI risks — reducing regulatory, operational, and reputational exposure at the point where the cost of intervention is lowest, not after incidents have propagated through production systems. |
| 05 |
Stronger Team Alignment |
Stronger alignment across data engineering, risk, compliance, and AI operations (AIOps) teams — united around a shared, real-time view of governance status and AI behaviour. Fragmented ownership replaced by shared accountability and a single picture of the AI estate. |
| 06 |
Continuous Audit Readiness |
A continuous, auditable record of governance, compliance, and AI behaviour maintained as a default operating state — so organisations are always ready to demonstrate control, transparency, and accountability on demand. Every day. Automatically. |
How It Works: From Regulatory Horizon to Operational Signal
The power of this partnership lies in connecting two governance layers that have historically operated in isolation: the regulatory intelligence layer, which tells you what is required, and the data observability layer, which tells you what is actually happening. The three-step flow below shows how these layers work together continuously.
| Step |
Platform |
What Happens |
📡 Step 1
Ingest & Interpret |
Regulativ.ai |
Continuously monitors the regulatory environment — the EU AI Act, DORA, sector-specific AI frameworks, and fast-evolving global requirements — ingesting changes and translating them into specific, actionable obligations mapped to each organisation's AI systems, data practices, and risk profile. |
🔍 Step 2
Monitor & Detect |
deltamap.io |
Monitors how data and AI systems are actually behaving in production — right now, in real time. Detects anomalies, data quality degradation, content lineage breaks, and compliance-relevant events as they occur — providing the operational insight and data trust foundation that responsible AI at scale demands. |
✅ Step 3
Govern & Evidence |
Both Together |
Regulatory obligations are linked to live operational signals — maintaining a continuous, auditable record of governance, compliance status, and AI behaviour that is always available, always current, and always ready to demonstrate control and accountability to regulators, boards, customers, and internal audit functions. On demand. At any time. |
⚠️ The Gap Most Organisations Are Missing
Most governance tools address either regulatory intelligence or data observability — but not both, and not in real time. Organisations know what is required without seeing what is happening, or they see what is happening without knowing whether it matters for compliance. This partnership closes that loop — enabling operationalised AI governance grounded in real-time intelligence.
Enabling Responsible and Scalable AI
By connecting regulatory intelligence with real-time AI and data observability, the partnership enables organisations to scale AI responsibly — ensuring that innovation is supported, not slowed, by strong governance and regulatory confidence. With the right infrastructure in place, governance becomes the enabler of sustained, scalable AI ambition rather than a constraint on it.
The joint solution empowers organisations to confidently answer the critical questions now being asked by boards, regulators, and customers across every regulated industry. These are accountability, transparency, and trust questions — and they require operational answers grounded in real-time evidence, not policy statements assembled retrospectively.
| # |
The Question Being Asked |
Answered By |
| 1 |
Where is AI deployed across the organisation, and for what purpose? |
deltamap.io — real-time AI visibility |
| 2 |
What data is powering AI models, and how is it behaving over time? |
deltamap.io — behaviour-based observability and content lineage |
| 3 |
How do regulatory requirements map to AI systems currently in production? |
Regulativ.ai — regulatory intelligence and control mapping |
| 4 |
How are regulatory requirements enforced in production environments — not just documented in policy? |
Both — intelligence linked to live operational signals |
| 5 |
Can control and accountability be demonstrated continuously — not just at audit time? |
Both — continuous audit readiness and evidenced governance |
Why the EU AI Act and DORA Change Everything
The timing of this partnership reflects a decisive shift in the AI regulatory landscape. The "wait and see" posture that many organisations maintained for years is no longer viable. The regulatory clock is running — and the frameworks now in force have material consequences.
| Regulatory Development |
What It Requires — and Why It Matters Now |
🇪🇺 EU AI Act
Now in Force |
Places specific, enforceable obligations on high-risk AI systems covering transparency, data governance, human oversight, ongoing production monitoring, and incident reporting. Non-compliance carries material financial and operational consequences. This is not a future requirement — it is in force now. |
🏦 DORA
Digital Operational Resilience Act |
Raises the operational resilience bar for financial institutions — including AI systems embedded in critical processes and the data pipelines that underpin them. Governance gaps in AI are now operational resilience failures with direct regulatory consequence. |
| 📊 FCA, EBA & Global Regulators |
Actively incorporating AI risk into supervisory frameworks with increasing scrutiny of how AI systems are governed, monitored, evidenced, and reported. Expectation shifting from periodic attestation to continuous, evidenced compliance with AI-specific requirements. |
| 🏢 Board-Level Accountability |
AI governance has moved from a compliance function to a board-level agenda item. Boards and audit committees are raising expectations of what credible AI governance looks like — and increasingly asking for real-time evidence, not annual attestations. |
| 🤝 Commercial & Customer Expectations |
Responsible AI practices are increasingly a condition of doing business — a direct commercial and contractual requirement from enterprise customers, institutional partners, and procurement functions. AI governance is now a market access requirement, not just a compliance obligation. |
💡 Why Point-in-Time Governance No Longer Works at AI Scale
Organisations are not running one or two AI models in controlled environments. They are running dozens — often hundreds — of AI systems across distributed, multi-cloud data environments in real-time production contexts where data behaviour changes continuously. As these systems scale and increasingly interact with other AI systems autonomously, the consequences of undetected drift, quality failure, or compliance breach are immediate and material.
Managing this at scale requires more than good intentions and annual reviews. It requires infrastructure. The Regulativ.ai and deltamap.io partnership provides exactly that — operational infrastructure for responsible AI governance, purpose-built for the scale, pace, and regulatory context of modern AI deployment. See how it works →
A Shared Vision: Intelligent, Proactive, Data-Driven Governance
Regulativ.ai and deltamap.io share a vision of moving organisations beyond reactive compliance toward intelligent, proactive, and data-driven governance — enabling AI innovation without compromising trust.
By embedding regulatory intelligence, observability, and governance directly into AI and data operations, organisations can unlock the full value of AI while maintaining trust with regulators, customers, and stakeholders. The future of AI governance is not about slowing AI down — it is about making governance as sophisticated, dynamic, and real-time as the AI it governs.
- ✅ Compliance teams empowered with real-time intelligence — not overwhelmed by retrospective documentation
- ✅ Data engineering and AIOps teams with genuine visibility into AI behaviour — not discovering failures after the fact
- ✅ Boards and regulators seeing continuous, credible evidence of responsible AI — not point-in-time attestations
- ✅ Customers and partners who can verify that responsible AI is operational reality, not policy aspiration
🚀 Build Trusted, Governed & Observable AI — Starting Now
Discover how the Regulativ.ai and deltamap.io partnership can help your organisation achieve continuous, operational AI governance — and confidently answer the questions boards, regulators, and customers are already demanding answers to.
Conclusion: Trusted, Governed, Observable AI Is Your Competitive Advantage
The question for organisations operating AI at scale is no longer whether to govern it — that has been decided by regulators, boards, and customers. The question is whether governance is reactive and fragile, or proactive, continuous, and evidenced.
- ✅ If your regulators are asking for continuous evidence of AI compliance, this partnership provides the infrastructure
- ✅ If your AI systems lack real-time visibility, content lineage, and explainability, the joint solution closes those gaps
- ✅ If you are scaling AI across the business and need governance that keeps pace with AI innovation — not lags behind it — this is the operational foundation you need
Innovation and governance are not in tension. With the right infrastructure — regulatory intelligence linked to real-time data observability — they reinforce each other. Organisations that build this foundation today are the ones that earn and sustain the trust of regulators, customers, and boards tomorrow.
Don't let governance gaps cost you regulatory standing, customer trust, and AI confidence. The infrastructure for trusted, governed, and observable AI is available — and the regulatory clock is already running.
About the Partners
Regulativ.ai is an AI-driven regulatory intelligence platform that helps organisations navigate complex and rapidly evolving regulatory landscapes. By transforming regulatory requirements — including emerging AI regulations — into actionable intelligence, Regulativ.ai enables businesses to proactively manage compliance, reduce risk, and operationalise governance across data and AI systems. Headquartered in London, UK.
deltamap.io is a behaviour-based AI data content observability and data management platform delivering event-driven visibility across complex data landscapes and process flows. By leveraging advanced algorithms and the latest technologies, deltamap.io learns and understands normal data behaviour, identifies meaningful deviations in real time, and enables trusted data, resilient operations, and confident AI outcomes across data-driven and AI-powered systems.
Together, Regulativ.ai and deltamap.io are enabling organisations to operate, govern, and scale AI with confidence — building trusted, governed, and observable AI at scale.
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