DataReadyAI democratises data and AI for the modern enterprise, lowering the barriers for businesses of every size to realise value from day one. Governed AI deployments, production-ready in 6–8 weeks, without the wait or the risk.
The gap between raw enterprise data and reliable AI outcomes has created a dependency on multi-year, multi-million-dollar transformation engagements. Most projects stall before they deliver value. The bottleneck is not the AI models. It is the connective tissue between data and intelligence.
Your board wants AI outcomes this quarter. Your regulator wants audit trails yesterday. Your SI wants another 18 months.
You are deploying autonomous workflows that make decisions without human oversight. They need clean, semantically consistent, governed inputs, not the fragmented data your current stack delivers.
EU AI Act. MAS guidelines. DFSA frameworks. APRA CPS 234. AI auditability and data governance are now mandatory in regulated industries. Manual governance will not survive the next audit.
Your organisation has spent $10M+ on transformation projects that delivered late, over budget, or not at all. The mandate from the board is clear: deliver AI value in weeks, not years.
Technology is evolving too fast to commit to a single vendor. You need a platform-agnostic control plane that works across Databricks, Snowflake, AWS, Azure, and GCP, giving you the freedom to change course.
DataReadyAI sits between your enterprise data estate and AI consumption layer, automating the work that currently requires armies of consultants.
Automatically scans, tags, and unifies data across all enterprise source systems, resolving inconsistent naming, conflicting business logic, and fragmented schemas into a single, governed semantic model.
Routes workflows, model calls, and agentic automations across the unified semantic layer. Model-agnostic and cloud-agnostic, works across Databricks, Snowflake, AWS, Azure, and GCP simultaneously.
Enforces data policies, maintains complete audit trails, validates AI outputs against compliance controls, and certifies production-grade activation. Governance that strengthens over time, not decays.
All figures shown are illustrative for reference. Commercial terms vary by client scope.
Programme budgets typically in the $10M–$50M+ range. Sequential delivery. Consultant-dependent. Knowledge leaves when the team rotates. Governance decays from day one.
Subscription engagement, sized to the scope of activated domains. Automated delivery. Platform-embedded knowledge. Governance enforced continuously. Value compounds with every domain activated.
Illustrative example: a $15M SI engagement replaced with a $300K platform subscription. Direct saving on a single initiative: ~$14.7M and 18 months of elapsed time. Actual outcomes vary by client engagement scope.
Ongoing platform maintenance costs reduced by more than half. SI retainers and internal engineering resources redirected to strategic work.
Every month of delayed AI deployment is foregone revenue. DataReadyAI compresses that delay from months to weeks, pulling forward the business impact.
Each capability addresses a specific failure point in the traditional enterprise data transformation model.
Discovers, maps, and standardises enterprise data schemas without manual intervention. Delivers a unified, AI-ready semantic layer in weeks rather than the 18–24 month SI modelling cycle it replaces.
Automatically generates production-grade transformation pipelines, schema definitions, access policies, and documentation from the approved semantic model. No hand-written code required.
Routes all AI model calls and agentic automations through the semantic layer. Model-agnostic and cloud-agnostic, works across OpenAI, Anthropic, Gemini, Databricks, and Snowflake simultaneously.
Deploys autonomous AI agents that execute multi-step business workflows, customer churn intervention, revenue assurance, compliance monitoring, operating on governed data within policy-defined boundaries.
Continuously monitors pipelines for source system changes and pipeline failures. Automatically diagnoses, resolves, and documents issues before they reach business users.
Embeds Data & AI governance directly into the execution layer as a real-time enforcement mechanism. Complete audit trails, AI process and decision traceability, and continuous regulatory compliance across every data flow.
Generates immutable audit trails. Enables tracking of every transformation, model execution, and governance decision. AI output can be traced across business decision, source data and governing policy. Regulator-ready Day 1.
Scans existing data architectures, models, transformations and documentation to map data flows and generate the semantic normalisation layer. Extract Data Engineering and AI value from your existing platform investments.
Operates consistently across AWS, Azure, and GCP and across Databricks, Snowflake, and BigQuery. A single unified AI control plane, semantic model and governance framework regardless of underlying cloud or data platform. No vendor lock-in.
Surfaces governed intelligence through AI assistants, autonomous agents, natural language query interfaces and data connectors for system-to-system integrations. Business users converse with their data directly. Executive reporting generated automatically from governed sources, not manually assembled.
Schedule a technical briefing. We will map your data estate and show you what production looks like in six weeks.
Request Technical BriefingActivities that traditionally consume 18-24 months and $10M+ in fees are compressed into weeks. Value delivery begins at activation and compounds as consumption expands.
First value delivery in 2-3 weeks. Production-grade activation in 6-8 weeks. No armies of consultants required.
Point DataReadyAI at your existing data infrastructure on supported platforms. No migration required. No data duplication. Deployed within your own cloud tenancy.
Autonomous agents scan, classify, and normalise your enterprise data estate. AI-recommended semantic models reviewed and approved by your team.
Production-grade AI pipelines with built-in governance, agentic workflows, and continuous compliance from day one.
Challenge
Fragmented customer data across retail, wealth, and insurance divisions. Regulatory compliance requires governed AI outputs that current infrastructure cannot provide.
With DataReadyAI
Unified Customer 360 with built-in APRA, MAS, and DFSA compliance automation. AI-ready foundation for credit risk, fraud detection, and next-best-action models.
Challenge
Enormous volumes of network, customer, and billing data in siloed systems preventing real-time churn prediction and personalised engagement at scale.
With DataReadyAI
Auto-assembled Customer 360 that enables agentic automations for churn intervention, personalised offers, and network anomaly response. AI-ready foundation for revenue assurance from day one.
Challenge
Data fragmentation across agencies prevents integrated citizen service delivery and responsible AI deployment in public-facing services.
With DataReadyAI
Cross-agency semantic unification without data movement. Complete audit trails for ministerial and parliamentary accountability. Sovereign data guarantees.
Challenge
Portfolio data fragmentation across asset classes, custodians, and reporting systems preventing real-time risk visibility and compliant AI-assisted advisory.
With DataReadyAI
Unified portfolio semantic layer with AI-ready foundation for risk analytics, client intelligence, and governed advisory workflows.
DataReadyAI deploys inside your cloud tenancy. No enterprise data is transmitted to, stored on, processed by, or used for AI activation/processing on external systems.
Your data never leaves your environment. All semantic processing, transformation, and governance occurs within your own cloud tenancy.
Runs inside your AWS, Azure, or GCP tenancy, or your Snowflake SaaS environment. Cloud-neutral by design. No forced migration, no vendor lock-in. The no-exfiltration guarantee applies in all deployment modes.
Granular RBAC enforced at the semantic layer. Data visibility governed by organisational policy, inheriting your platform’s IAM controls.
Every data transformation, model execution, and governance decision automatically logged with immutable, queryable audit records.
AES-256 and TLS 1.3 encryption consistent with enterprise cloud provider standards. SSO and identity management integration supported.
Designed for EU AI Act, APRA CPS 234, MAS guidelines, and DFSA frameworks. ISO 27001 and SOC 2 Type II certifications under consideration.
Personally Identifiable Information (PII) data sets are automatically identified, tagged and made accessible only to authorised users, in accordance with your organisational policy.
Built for land-and-expand. Most customers begin on Launchpad or Accelerate and scale to Sovereign as their AI adoption deepens.
For teams getting started with AI-ready data.
For teams scaling AI across the business.
For enterprises operating at full scale, with full sovereignty.
Excludes underlying cloud and platform costs. Multi-year terms: 2-year commitment receives 10% platform discount, 3-year commitment receives 18%. VU rollovers apply on multi-year terms. All figures shown are illustrative for reference only. Commercial terms are confirmed at contract execution and vary by client scope, sector and scale.
DataReadyAI is building the defining infrastructure layer of the enterprise AI stack, the control plane that makes enterprise AI reliable, governed, and scalable for the first time.
Founded in 2025 by enterprise data architects and financial services technologists who spent decades working on and overseeing multiple $10M+ Data and Digital transformation programs facing similar challenges of high delivery risks, costs, delayed and suboptimal business value realisation, skill challenges and change management and adoption complexities. The bottleneck was never the AI models. It was always the data infrastructure between systems and intelligence.
The founding team brings combined 100+ years of experience across enterprise data architecture, financial services technology, global consulting programmes, and AI platform engineering.
Schedule a technical briefing with our team. We will map your data estate and demonstrate the deployment timeline for your environment.