We help enterprises in energy, industrial, life sciences, and financial services make their data audit-ready, traceable, and safe for AI — built on the standards their regulators already expect.
of enterprise AI pilots never reach production. The leading cause is ungoverned, untraceable data — not the model itself.
MIT research, 2026EU AI Act high-risk obligations take effect — mandating data governance, lineage, logging, and human oversight for regulated AI systems.
Regulation (EU) 2024/1689fined to a single global bank for failing to manage risk data under BCBS 239 — the same gap that sits inside most AI programs today.
Regulatory record, publicEach industry has its own data standards, regulators, and failure modes. We bring the specific framework your sector is measured against — not generic governance theory.
Subsurface, drilling, production, and asset data scattered across proprietary systems and decades of legacy formats — now expected to feed AI for exploration, predictive maintenance, and carbon reporting.
PLCs, drives, robotics, SCADA, and MES generating continuous operational data — where IT and OT systems historically ran in silos with different priorities, tools, and security models.
Connected devices generating vast streams of consumer behavioural and telemetry data — where privacy, consent, and device-level security are the foundation of customer trust and AI personalisation.
Manufacturing, quality, and clinical data under the strictest data-integrity regime in any industry — where a single audit-trail gap can trigger a warning letter, import alert, or plant shutdown.
Patient records, diagnostic imaging, and clinical decision data feeding AI systems — where data provenance and validation directly determine FDA clearance and hospital procurement outcomes.
Risk, transaction, and customer data under intense regulatory scrutiny — where AI in credit scoring, fraud detection, and trading is now classified as high-risk and subject to mandatory governance.
Fixed fees. Clear deliverables. Mapped to your industry's specific standards.
A common framework that maps to every industry standard — so a single assessment speaks to OSDU, GAMP 5, BCBS 239, or IEC 62443 alike.
Every data asset traceable from source to AI consumption. Answer "where did this come from?" in seconds — the heart of every audit.
Automated checks that catch bad data before it reaches a model — aligned to ISO 8000 and ALCOA+.
Clear stewardship roles and escalation paths. People know who owns what data and what to do when something breaks.
A 40-question assessment producing one number leadership and regulators can act on.
Full documentation for your industry — BCBS 239, 21 CFR Part 11, EU AI Act, IEC 62443.
Whatever your industry, your AI governance is measured against this convergent set of global standards. We build to all of them with a single set of controls.
The first international AI Management System standard. Increasingly a procurement requirement in financial services, healthcare, and public sector — the certifiable shape of AI governance.
The US risk-management framework structured around Govern, Map, Measure, Manage. Referenced by the SEC, FDA, CFPB, and DoD as the benchmark for vendor AI maturity.
The first binding AI law. High-risk obligations — data governance, logging, human oversight — apply from August 2026, with financial penalties for non-compliance.
Fairness, transparency, accountability, and human oversight built into the data foundation — because trustworthy AI starts with trustworthy data, not a policy deck.
Our methodology comes from 25 years of hands-on delivery inside three of the world's largest energy, industrial, and technology enterprises.
in data value preserved by modernising 9 global data hubs onto a governed cloud architecture, enabling AI analytics across 20+ markets.
energy savings delivered through a cloud-native industrial data platform with real-time ingestion and governed reporting.
enterprise platforms delivered across public sector, transportation, and regulated healthcare on three continents.
We listen. No pitch — just understanding your current data, AI, and regulatory setup.
5–8 conversations across data, IT/OT, compliance, and business teams.
We map your data flows and controls against your industry's specific framework.
Your data is scored across all five pillars — a concrete 0–100 readiness number.
You receive the full report and a prioritised 90-day action plan, presented to your team.
One reply, usually within a business day. No automated sequences.
Start with a 4-week TDF Audit, benchmarked to your industry's standards. Fixed fee. Clear answers in a month.