20:44:53 EDT Thu 29 Oct 2026
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Inverite Insights Inc (2)
Symbol INVR
Shares Issued 55,259,828
Close 2026-10-29 C$ 0.16
Market Cap C$ 8,841,572
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Inverite enters pilot deal with Integrated Quantum

2026-10-29 17:52 ET - News Release

Mr. Mike Marrandino reports

INVERITE SIGNS PILOT AGREEMENT TO EVALUATE VEIL INTEGRATION AND ADVANCE PRIVACY-PRESERVING FINANCIAL INTELLIGENCE ACROSS ENTERPRISE AI

Inverite Insights Inc. has entered into a pilot agreement with Integrated Quantum Technologies Inc. to evaluate the integration of IQT's VEIL (vector-encoded information layer) technology within Inverite's existing artificial-intelligence-driven financial intelligence infrastructure.

The collaboration is intended to enable Inverite to extend its existing behavioural risk intelligence into a broader range of institutional AI applications, creating new opportunities to serve financial institutions with stringent privacy, security and data governance requirements while keeping underlying sensitive consumer data protected within its trusted environment.

Inverite has built a financial intelligence platform that transforms real-time, consumer-permissioned financial data into actionable insights supporting identity verification, income and affordability assessment, fraud detection, and risk decision making.

As financial institutions expand their use of artificial intelligence, the ability to apply intelligence across systems, organizations and jurisdictions while maintaining control over sensitive information is becoming increasingly important.

VEIL is designed to transform sensitive information into protected, compressed representations that preserve information relevant to machine-learning applications while reducing exposure to the original records.

For Inverite, the strategic opportunity is to extend the reach of its existing financial intelligence across institutional AI environments, creating opportunities to serve more customers, support additional applications and enter new markets.

Under the agreement, the companies will work toward deploying VEIL within Inverite's existing infrastructure, subject to Inverite's technical and security approvals.

The pilot will focus on two areas:

  1. Predictive performance: assessing how VEIL's encoded data representations preserve the predictive performance of Inverite's existing behavioural risk models;
  2. Security and privacy: evaluating VEIL's security and privacy characteristics, including its ability to protect underlying sensitive information.

The pilot will help inform opportunities for broader integration and commercialization, guided by technical performance, customer requirements and future commercial agreements.

The collaboration supports Inverite's broader strategy of expanding the commercial reach of its financial intelligence through enterprise distribution, higher-value intelligence products and applications across identity, credit, payments, wealth management and insurance.

"Financial institutions want to leverage advanced financial intelligence while maintaining strong protections around sensitive consumer information," said Karim Nanji, chief executive officer of Inverite Insights. "We have built the intelligence that helps organizations make better financial decisions. Our opportunity now is to extend that intelligence into more applications, serve more institutions and expand into new markets. VEIL offers a potential enabling technology to support that strategy while reinforcing our established data protection capabilities. The opportunity is to extend our financial intelligence across institutions and markets while the underlying sensitive data remains securely within each client's trusted environment."

"Financial services is a natural market for VEIL because of the enormous value of the information these institutions manage and the challenges associated with using it across AI systems," said Husam Fezzani, chief executive officer of Integrated Quantum. "Inverite has built a platform that turns consumer financial information into valuable decision intelligence. Through this pilot, we intend to demonstrate how VEIL can help companies like Inverite expand the commercial potential of their existing technology by enabling broader use of that intelligence without exposing original sensitive records. This is exactly the opportunity we see for VEIL across financial services and other data-intensive industries."

About Inverite Insights Inc.

Inverite Insights is a Canadian risk infrastructure company transforming permissioned financial data into trusted financial intelligence through artificial intelligence and proprietary decisioning signals. The company's platform enables organizations to verify identity, establish account ownership, assess income and affordability, detect fraud, evaluate risk, and make better financial decisions using real-time, permissioned financial data.

Serving banks, fintechs, payment providers, wealth platforms and enterprise organizations, Inverite embeds trusted financial intelligence directly into customer workflows, enabling faster, safer and more intelligent financial interactions.

About Integrated Quantum Technologies Inc.

Integrated Quantum is an enterprise AI infrastructure company developing technologies designed to enable organizations to use sensitive data with artificial intelligence while reducing exposure of the underlying information. The company's primary commercial product, VEIL (Vector-Encoded Information Layer), is a privacy-preserving technology designed to protect sensitive information across AI and machine learning environments. IQT's portfolio also includes SecureGuard360, its cybersecurity platform providing security and monitoring capabilities for enterprise environments. IQT's broader strategy is focused on building trust infrastructure for enterprise AI at the convergence of artificial intelligence, cybersecurity, enterprise data infrastructure and quantum resilience.

The company's published VEIL technical white paper, "Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning," is available at on-line.

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