Patents

US12437113B1
·
Oct 2025
Data processing orchestrator utilizing semantic type inference and privacy preservation
This is the engine that allows your enterprise to streamline complex data ingestion and modeling operations, turning fragmented datasets into orchestrated, fully private streams of actionable intelligence.
The orchestrator tackles the challenge of disorganized enterprise data by automatically identifying semantic types, conducting workflows across structured and unstructured domains. Privacy-preserving mechanisms are automatically embedded step by step throughout processing, unveiling blind spots in compliance without exposing control to external systems.
Read Technical Abstract

US12437113B1
·
Oct 2025
Data processing orchestrator utilizing semantic type inference and privacy preservation
This is the engine that allows your enterprise to streamline complex data ingestion and modeling operations, turning fragmented datasets into orchestrated, fully private streams of actionable intelligence.
The orchestrator tackles the challenge of disorganized enterprise data by automatically identifying semantic types, conducting workflows across structured and unstructured domains. Privacy-preserving mechanisms are automatically embedded step by step throughout processing, unveiling blind spots in compliance without exposing control to external systems.
Read Technical Abstract

US12437113B1
·
Oct 2025
Data processing orchestrator utilizing semantic type inference and privacy preservation
This is the engine that allows your enterprise to streamline complex data ingestion and modeling operations, turning fragmented datasets into orchestrated, fully private streams of actionable intelligence.
The orchestrator tackles the challenge of disorganized enterprise data by automatically identifying semantic types, conducting workflows across structured and unstructured domains. Privacy-preserving mechanisms are automatically embedded step by step throughout processing, unveiling blind spots in compliance without exposing control to external systems.
Read Technical Abstract

US12316753B1
·
May 2025
Secure multi-agent system for privacy-preserving distributed computation
This patent covers a distributed network of AI technicians dedicated to your enterprise. Enable multi-party data computations across business units or partners, while preserving strict permissions, auditability, and data custody.
Keeping agent states encrypted and enforcing access via immutability, this multi-agent framework is the backbone behind our secure, decentralized compute—a future-proof way to maintain the integrity, security, and autonomy of your computing ecosystem.
Read Technical Abstract

US12316753B1
·
May 2025
Secure multi-agent system for privacy-preserving distributed computation
This patent covers a distributed network of AI technicians dedicated to your enterprise. Enable multi-party data computations across business units or partners, while preserving strict permissions, auditability, and data custody.
Keeping agent states encrypted and enforcing access via immutability, this multi-agent framework is the backbone behind our secure, decentralized compute—a future-proof way to maintain the integrity, security, and autonomy of your computing ecosystem.
Read Technical Abstract

US12316753B1
·
May 2025
Secure multi-agent system for privacy-preserving distributed computation
This patent covers a distributed network of AI technicians dedicated to your enterprise. Enable multi-party data computations across business units or partners, while preserving strict permissions, auditability, and data custody.
Keeping agent states encrypted and enforcing access via immutability, this multi-agent framework is the backbone behind our secure, decentralized compute—a future-proof way to maintain the integrity, security, and autonomy of your computing ecosystem.
Read Technical Abstract

US12335379B1
·
Jun 2025
Privacy-preserving transformer model with encrypted dimensionality reduction
This invention empowers enterprises by enabling you to process data without sacrificing privacy. Apply powerful transformer-based AI models directly to sensitive enterprise datasets. Input features are compressed and encrypted before inference, so you can Harvest high-value, actionable insights without sacrificing data sovereignty.
Gain the strategic value of AI-driven analytics, automating governance and regulatory alignment while retaining full ownership over your own data pipelines.
Read Technical Abstract

US12335379B1
·
Jun 2025
Privacy-preserving transformer model with encrypted dimensionality reduction
This invention empowers enterprises by enabling you to process data without sacrificing privacy. Apply powerful transformer-based AI models directly to sensitive enterprise datasets. Input features are compressed and encrypted before inference, so you can Harvest high-value, actionable insights without sacrificing data sovereignty.
Gain the strategic value of AI-driven analytics, automating governance and regulatory alignment while retaining full ownership over your own data pipelines.
Read Technical Abstract

US12335379B1
·
Jun 2025
Privacy-preserving transformer model with encrypted dimensionality reduction
This invention empowers enterprises by enabling you to process data without sacrificing privacy. Apply powerful transformer-based AI models directly to sensitive enterprise datasets. Input features are compressed and encrypted before inference, so you can Harvest high-value, actionable insights without sacrificing data sovereignty.
Gain the strategic value of AI-driven analytics, automating governance and regulatory alignment while retaining full ownership over your own data pipelines.
Read Technical Abstract

Filed - Application #63/909,852
·
Encrypted BI system for privacy-preserving intelligence
This multi-agent business-intelligence system lets you take control of BI across every silo. It cleans, enriches, and purifies data while ensuring not a single drop of raw data leaks outside of the secure boundary.
Every insight is verifiable: end-to-end encryption, scoped access, and immutable audit trails show exactly where signals came from and how they were combined. Ask questions in natural language and get answers tailored to your needs, empowering your team to make faster decisions without having to stress about compliance
Read Technical Abstract

Filed - Application #63/909,852
·
Encrypted BI system for privacy-preserving intelligence
This multi-agent business-intelligence system lets you take control of BI across every silo. It cleans, enriches, and purifies data while ensuring not a single drop of raw data leaks outside of the secure boundary.
Every insight is verifiable: end-to-end encryption, scoped access, and immutable audit trails show exactly where signals came from and how they were combined. Ask questions in natural language and get answers tailored to your needs, empowering your team to make faster decisions without having to stress about compliance
Read Technical Abstract

Filed - Application #63/909,852
·
Encrypted BI system for privacy-preserving intelligence
This multi-agent business-intelligence system lets you take control of BI across every silo. It cleans, enriches, and purifies data while ensuring not a single drop of raw data leaks outside of the secure boundary.
Every insight is verifiable: end-to-end encryption, scoped access, and immutable audit trails show exactly where signals came from and how they were combined. Ask questions in natural language and get answers tailored to your needs, empowering your team to make faster decisions without having to stress about compliance
Read Technical Abstract

Filed - Application #63/910,782
·
Secure AI query optimizer for enterprise data systems
This privacy-gated query optimization system lets enterprises gain faster insights, improve visibility into production and supply-chain operations, and lower IT overhead—without having to surrender data privacy.
By translating database queries into encrypted, privacy-preserving code before any external optimization, it allows AI systems to fine-tune performance while keeping schemas and values completely confidential. Equip your team with tighter control, plus the confidence to optimize critical systems securely across cloud and on-prem environments.
Read Technical Abstract

Filed - Application #63/910,782
·
Secure AI query optimizer for enterprise data systems
This privacy-gated query optimization system lets enterprises gain faster insights, improve visibility into production and supply-chain operations, and lower IT overhead—without having to surrender data privacy.
By translating database queries into encrypted, privacy-preserving code before any external optimization, it allows AI systems to fine-tune performance while keeping schemas and values completely confidential. Equip your team with tighter control, plus the confidence to optimize critical systems securely across cloud and on-prem environments.
Read Technical Abstract

Filed - Application #63/910,782
·
Secure AI query optimizer for enterprise data systems
This privacy-gated query optimization system lets enterprises gain faster insights, improve visibility into production and supply-chain operations, and lower IT overhead—without having to surrender data privacy.
By translating database queries into encrypted, privacy-preserving code before any external optimization, it allows AI systems to fine-tune performance while keeping schemas and values completely confidential. Equip your team with tighter control, plus the confidence to optimize critical systems securely across cloud and on-prem environments.
Read Technical Abstract
