Practical and effective solutions to hard and pervasive problems.
Experience the power and value of Hybrid Intelligence.
REGULATORY COMPLIANCE
Hybrid Intelligence ensures compliance with emerging AI regulations through its inherently transparent and auditable system architecture.
Emerging AI regulations represent a significant challenge for organizations, Hybrid Intelligence provides the answer.
Transparency
The system architecture and decision-making processes are openly observable, and the explanations for model outputs are easily accessible and understandable.
Accountability
Detailed audit records are generated concurrently with each prediction and evidence the reasoning behind every decision. This ensures full accountability, fostering trust among stakeholders, and meeting the most stringent regulatory standards.
Enhanced Risk Management
Advanced features like counterfactual analysis and real-time decision workflows allow organizations to understand better and manage potential risks, aligning with regulatory expectations.
AUDITABILITY
Hybrid Intelligence provides an inherently auditable AI system that enhances value, particularly in applications that demand transparency, accountability, and compliance.
The inherent auditability of Hybrid Intelligence solutions makes AI more accessible, more compliant, and safer to deploy.
Detailed Audit Records
Each prediction from a Hybrid Intelligence model is accompanied by a detailed explanation. Explanations trace the precise decision-making process, serving as an inherent audit record that ensures accountability.
Tamper-proof System
Audit records are fortified with hashing techniques, to create unique digital fingerprints for each prediction. This tamper-proof approach enhances system integrity, aiding in regulatory compliance, risk management and governance.
Extensive Applicability
Auditability provides value across all sectors, from finance to healthcare, promoting trust in AI systems and their operators.
RISK MANAGEMENT
Hybrid Intelligence offers a suite of new features that enable the effective identification and mitigation of risk, paving the way for the application of AI to more critical decision-making processes.
Hybrid Intelligence enhances risk management across all sectors and use cases, overcoming the limitations of traditional AI systems.
Real-time Explanations
Precise, verifiable and real-time explanations provide unprecedented transparency into AI systems, enabling the effective identification and mitigation of risks.
Auditability
The inherent auditability of Hybrid Intelligence solutions bolsters risk management by providing all stakeholders with the tools to assess and evidence risk mitigation.
Fail-safes, Fallbacks and Guardrails
The predictability and transparency of Hybrid Intelligence solutions empowers organisations to build active, real-time fail-safes, fallbacks and guardrails that identify and address unwanted behaviour.
Activation Data and Counterfactuals
Monitor system behaviour with activation data and explore alternative outcomes with counterfactual “what-if” scenarios for more informed and controlled decision-making.
GOVERNANCE
Hybrid Intelligence addresses common challenges in AI governance by giving organisations the oversight and tools needed to define and enforce compliance and accountability.
Hybrid Intelligence solutions preserve human authority over AI, allowing organisations to deploy AI solutions that conform to their governance requirements.
Transparency and Explainability
Precise, real-time explanations allow stakeholders to understand the decision-making process, fostering accountability and trust, and enabling strong governance practices.
Oversight
Decision workflows in Hybrid Intelligence reinforce human oversight and authority, preserving control in decision making while maintaining the benefits of automation.
Auditability
Detailed audit records trace the decision-making process, demonstrating adherence to and evidencing compliance with regulatory requirements, ethical standards, and organizational policies.
ETHICS
Hybrid Intelligence allows organizations to codify and apply their ethical guidelines in real-time, ensuring that AI-driven decisions align with their ethical intentions.
Hybrid Intelligence solutions give you the control and accountability needed to ensure that AI-driven predictions conform to organisational ethics standards.
Transparency and Explainability
By providing clear, understandable explanations for its predictions, Hybrid Intelligence ensures stakeholders understand the decision-making process and can scrutinise each prediction for compliance with ethical standards.
Oversight
The “decision space” gives humans control, allowing for the application of ethically-informed rules to predictions to develop decisions that are aligned with organisational ethics.
Counterfactuals
The ability to run counterfactual "what-if" scenarios gives organisations the ability to assess alternative outcomes and make decisions that better reflect their ethical standards.
Auditability
The inherent auditability of Hybrid Intelligence provides tangible evidence of adherence to ethical guidelines with tamper-proof audit records for every decision.
BEHAVIOURAL GUARANTEES
Hybrid Intelligence models are completely predictable and fully transparent and can be enhanced with fail-safes, fallbacks, and guardrails to provide robust behavioural guarantees.
Hybrid Intelligence's ability to provide behavioural guarantees is a significant advancement that fosters trust and dependability in AI systems.
Enhanced Model Predictability
Hierarchical, modular Hybrid Intelligence models can be monitored through real-time activation data. This enables identification of anomalous patterns and supports interventions to ensure optimal performance.
Detection and Intervention
The Hybrid Intelligence "decision space" allows for programmed human oversight that ensures each decision aligns with predetermined behavioural expectations, mitigating risks associated with unforeseen model behaviours.
Fail-safes, Fallbacks and Guardrails
With these tools, Hybrid Intelligence maintains system stability and robustness, even in the event of unexpected behaviours, thus enhancing the reliability of AI solutions.
BIAS MITIGATION
Hybrid Intelligence provides the tools needed to address algorithmic bias through a robust framework for bias detection, measurement, and mitigation.
In AI applications where bias is a prevalent challenge, Hybrid Intelligence plays a vital role in ensuring fair and balanced decision-making.
Empirical Bias Identification
Hybrid Intelligence explanations accurately depict how the model valued each feature, allowing the identification and numerical measurement of potential biases in a prediction.
Decision Space
The Hybrid Intelligence "decision space" allows for human-designed programmatic workflows to identify bias, assess its impact on the prediction, and resolve it in real-time before the final decision is made.
Counterfactual Analysis
The ability to run counterfactual "what-if" scenarios helps further expose and address bias issues, giving decision-makers further insights into potential bias and its implications.
LEGACY SYSTEM TRANSFORMATION
Hybrid Intelligence brings a unique approach to transitioning from legacy systems to AI, offering knowledge enhancement, transparency, and seamless integration.
The flexibility, transparency, and familiarity of Hybrid Intelligence facilitates the confident adoption and integration of AI into existing systems while retaining and enhancing existing knowledge.
Enhanced Data Utilisation
Hybrid Intelligence models can learn from data and legacy system rules, leading to an enhanced model augmented by deeper insights from both sources.
Rule Comparison
Transparent Hybrid Intelligence models expose their learned rules allowing a direct comparison with legacy systems to expose new insights and build trust in the model.
Seamless Integration
With fully symbolic and customisable interfaces, Hybrid Intelligence models integrate smoothly into existing systems, minimising disruption and greatly simplifying the digital transformation process.