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The Ontology Data Framework for Executional AI

Our technology industrialises data preparation, turning enterprise data into intelligent, actionable tokens. 


Powered by executional AI that takes real actions to drive business value, faster decisions, mitigate risks, optimise operations, and revenue growth.

Core Technology Overview

Ontology Data Framework

  • Benefit: Gives your data deeper semantic meaning and contextual relationships, making it fluid and dynamic—not fixed silos.


  • Value: Enables 99.99% AI accuracy for every decision, whether human-led or automated. Close the 70-93% accuracy gap by embedding holistic insights and governance.


  • Metric: Reduce data inconsistencies by 80%, accelerating decisions in real-time.


Intelligent Data Agents

  • Benefit: Autonomous AI workforce that executes data tasks—collection, cleaning, enrichment, tokenisation, and monitoring, without human bottlenecks.


  •  Value: Scales to handle enterprise complexity, executing actions like anomaly detection or compliance checks to support growth in risk, ops, and revenue. 


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AI Data Token Factory

  • Benefit: Transforms raw data into modular, reusable "data tokens" optimised for AI consumption.


  • Value: Ensures data sovereignty and reusability across functions, enabling executional AI to drive actions like predictive optimisations or automated reports.

Integration and Sovereignty

  • Benefit: Seamlessly works with existing systems (e.g., Databricks, Snowflake) while keeping data secure in your environment.


  • Value: No external exposure—maintain compliance and trust while scaling AI for business-wide actions.

Technical Benefits

  • Fluid Data for Dynamic Decisions: Semantic meaning and contextual relationships ensure every data point informs effective, real-time choices.


  • Executional Power: AI agents act on insights, automating workflows to mitigate risks and boost revenue.


  • Scalable ROI: Enhance existing investments for unlimited operations without disruption.

Your Unified Data Foundation

Think of our ontology-driven data operating system as the brain of your data ecosystem - a lightweight toolkit that integrates structured and unstructured data, business processes, rules, and workflows into a single, cohesive model.


By embedding semantic relationships and context through ontologies, it creates ‘self-aware’ data that understands its meaning and dependencies. This resolves downstream data issues, providing complete visibility and eliminating decision-making blind spots.


We blend human expertise with AI agents to create this powerful data ontology operating system. Humans provide strategic oversight and domain knowledge, while agents automate repetitive tasks for seamless integration and acceleration.

Autonomous AI Data Agents: The Operational Backbone

Our intelligent autonomous data agents form the operational backbone, automating and accelerating data preparation to eliminate human bottlenecks across your systems, whether on-premises, in the cloud, or in a hybrid environment. 


These agents operate as a specialised workforce, each handling specific aspects of the data preparation lifecycle, following a medallion architecture for quality, governance, traceability, and compliance.

Data Collection Agents: 

These specialised agents autonomously discover, connect to, and extract data from diverse enterprise sources—structured databases, APIs, document repositories, legacy systems, and unstructured content. They use the system’s ontology to classify and tag inputs from any source, monitor for changes or new data sources, and validate data accessibility across the enterprise.


Data Cleaning Agents: 

Data cleaning agents ensure consistent quality across all enterprise data by autonomously identifying and resolving inconsistencies, errors, and redundancies. They apply ontology-driven rules to normalise formats across diverse sources, resolve conflicts between systems, and maintain detailed audit trails for compliance purposes.


Data Enrichment Agents: 

These agents add value to data from any source by contextualising, augmenting, and linking it with insights from across the enterprise. By leveraging the ontology, they identify meaningful relationships between disparate datasets, enrich data with relevant external sources, and generate metadata that enhances discoverability and traceability.


Data Tokenisation Agents: 

Data tokenisation agents transform processed data into standardised “data tokens”—structured, modular units optimised for AI workflows regardless of source. These tokens embed rich metadata about provenance, lineage, and compliance. They are packaged to meet specific AI application requirements while maintaining version control and traceability.


Data Monitoring Agents: 

These agents oversee the health, performance, and compliance of data pipelines across the entire enterprise in real-time. They detect drift, anomalies, or degradation in data from any source, verify that data tokens meet governance standards, and generate reports and alerts based on enterprise-wide pipeline performance.


Add chat assistants and orchestration logic, and you have an automated workforce that deploys in weeks—no lift-and-shift or downtime.

Streem Studio: One Command Centre for All

The Streem Studio gives you access to take control of your problems—it’s the user-friendly interface where you design, configure, and manage everything. 


From building ontologies to orchestrating AI agents, it empowers non-tech users to oversee data governance and workflows with plain-English prompts. Engineers dig into schema detail while commercial teams track KPIs—no steep learning curve.


Our approach is collaborative and built on partnership—no one understands your business better than you. 


This is why we handle the back-end heavy lifting and automation; you assemble business-specific solutions with complete control. We enable you to be the experts in your domain, leveraging our ontology-driven data operating system to turn your insights into actionable outcomes.

Why Streem AI Stands Apart

Trust by Design: Lineage, audit trails, and ethics embedded from the outset, ensuring full data sovereignty and compliance without added complexity.


Cloud-Neutral & Future-Proof: Works wherever your data resides today or tomorrow, adapting seamlessly to evolving needs while proactively resolving downstream issues, such as data inconsistencies.


Time & Cost Wins: Technical prep work cut by up to 70%; leaders see faster revenue gains, lower risk, and verifiable insights—pay only for realised value.


Technical Excellence: Agents accelerate bottleneck-free integration, cutting preparation time and enabling near-perfect AI accuracy (from 70-93% to 99.99%+) by fixing plumbing problems like silos and semantic gaps.


Business Comfort: We deliver reliable outcomes without overhauls—empowering your teams to focus on what they do best, with non-intrusive deployment that scales from simple access to enterprise-wide transformation.

Delivery in Three Guided Steps

Schedule a no-obligation mapping session today: Technical teams get acceleration on downstream fixes; business leaders get comfort in outcome delivery. 


  1. Discovery & Mapping: Structured access in weeks, zero prerequisites.  
  2. Integration & Orchestration: Agents ingest, fix, and govern data automatically.  
  3. Enablement & Scaling: Co-build or self-service; agents keep optimising and tokenising for AI.

Contact Us

Book a free consultation now to explore how Streem AI can deliver AI-ready data that drives your business forward.

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