Inspeq AI - Enterprise Platform for Responsible and Trustworthy AI Operations

What is Inspeq AI?

Inspeq AI provides solutions for AI systems that offer significant advantages in operationalizing Responsible AI (RAI) within enterprise settings. The platform focuses on AI risk management and governance, crucial for realizing the full return on investment and potential of AI across various business processes.

Key benefits include improved Large Language Model (LLM) performance, reduced CO₂ emissions per inspection, minimized AI hallucinations, and lowered AI development costs. It assists businesses to avoid reputational damage, and comply with regulations such as the EU AI Act, SB-942 Transparency Act, and UK AI Principles.

Features

LLM Performance Improvement: 90% improvement in LLM Performance.
Reduced CO₂ Emissions: 85% Less CO₂ per Inspection Compared to LLM-Based Tools.
Hallucination Reduction: 80% Reduction in AI Hallucinations.
Cost Savings: 70% Reduction in AI Development Costs.
Regulatory Compliance: Helps comply with the EU AI Act, SB-942 Transparency Act, and UK AI Principles.
Misinformation & Bias Detection: Detect Misinformation & Bias.
Accuracy Validation: Validate Input, Output & Model Accuracy.
Transparency Measurement: Measure Fairness & Transparency.
Auditing and Reporting: Audit & Generate Reports for Regulatory Requirements
Platform Integrations: Integrate with Microsoft Co-Pilot Studio, Amazon Bedrock, Agentforce and any LLM.

Use Cases

Improving the accuracy and reliability of AI-driven insights in banking.
Ensuring safety and compliance in insurance processes such as policy renewals and underwriting.
Managing traffic and accessing legacy billing systems securely in telecoms.
Optimizing product pricing and trade promotions in consumer goods.
Monitoring chargeback processes, loans, and fraud detection in banking.
Supporting quote generation in insurance.
Operationalising Responsible AI for AGI all-up.

FAQs

How does Inspeq AI help businesses scale their AI systems?

Inspeq provides RAI Ops tools to help businesses scale responsibly by monitoring AI performance, ensuring compliance, and managing risks at every stage of development.
What sets Inspeq AI apart from other AI governance platforms?

Other platforms operating in the RAI Ops space do a good job in evaluating, monitoring and tracking AI performance and policies, but most of them lack operationalising the RAI principles for an enterprise business process level. Other key aspects which set us apart: No LLM-as-a-Judge - Unlike competitors, we avoid using LLMs to evaluate other LLMs. Cost effective - as customers are not required to use advanced models for evaluation, bringing down the cost. Accurate - deterministic metrics helps build reliable pipeline leading to reliable and responsible AI applications RRuns on CPU - our models run on CPU unlike competitors who require GPU allocation for on-premise versions. Responsible AI Ops Platform: We see a need for a new category for Responsible AI Ops for enterprise customers who are currently underserved. Because we are deeply integrated in their business process that leverage LLM and Agentic workflows, we understand the nuances which most startups don’t get access to at an early stage. Enterprise-First, Cloud & Model Agnostic: Our cloud and model-agnostic architecture seamlessly integrates into any enterprise environment, offering flexibility, scalability, and reducing vendor lock-in. On-Premise Security & Data Privacy: With on-premise solutions and strong data privacy controls and checks, we ensure data never leaves the customer’s system, making us ideal for industries with strict data privacy regulations. Strong data moat: One of our most unique strengths is our strong data moat. By anonymising production data, we continuously improve and refine our models, leading to better accuracy and performance in real-world applications. Responsible AI Ops for Agentic workflows: Our enterprise customers are evolving from LLMs to Agentic workflow (e.g Aforza who are building sales agents). Inspeq AI will operationalise Responsible AI for AGI all-up. We're uniquely positioned to help businesses build ethical and compliant AI systems.
Is Inspeq AI’s platform customizable for different industries?

Yes, Inspeq AI’s platform is designed to be flexible and customisable to meet the unique needs of industries such as Banking, Insurance, Telecommunications and Consumer Goods.
How does Inspeq AI ensure data security and privacy?

Inspeq AI prioritizes the confidentiality of client data within the Inspeq AI Platform. We employ state-of-the-art encryption methods for data at rest and in transit, ensuring that sensitive information is protected against unauthorised access. At Inspeq ai, we ensure the processing integrity of the platform through rigorous quality assurance practices and error-checking protocols. All data processing operations are designed to provide accurate, timely, and valid outputs. We implement automated systems to track and log all transactions, allowing for a transparent review process. Regular system audits help ensure that processing activities are completed as intended and that any anomalies are quickly addressed to maintain the integrity of data processing. Inspeq AI is deeply committed to protecting the privacy of our clients' information accessed through the platform. We adhere to stringent data protection regulations and industry best practices for data privacy and security. Our privacy policies are transparently communicated to all stakeholders, emphasising our approach to data collection, use, and sharing.