InfiniteTech AI is committed to world-class data transparency, rigorous confidentiality, and absolute client data sovereignty. Learn how we collect, safeguard, and process your information across our AI development platforms and enterprise services.
This Privacy Policy governs the manner in which InfiniteTech AI collects, utilizes, safeguards, and disseminates data gathered through infinitetechai.com, custom client portals, and our proprietary engineering engagements.
InfiniteTech AI Private Limited
https://infinitetechai.com
privacy@infinitetechai.com
Your proprietary code and datasets are never used to train generalized foundation models.
Enterprise RAG embeddings reside in private, encrypted namespaces under your single tenancy.
Private cloud and on-premise configurations guarantee strictly non-shared GPU compute resources.
As an artificial intelligence research and engineering company, we recognize the critical sensitivity of corporate datasets, intellectual property, internal documentation, and training data provided to us during client engagements.
We collect personal and technical information through your interactions with our website, communication channels, and engineering discovery questionnaires.
Name, Email, Phone
Org & Role Info
IP, Browser, OS
Events & Usage
Cloud GPU Clusters
Vertex AI & BigQuery
Azure OpenAI Hosting
PCI-DSS Payments
To deliver high-availability AI engineering and hosting, we partner with premier, SOC2 and ISO 27001-certified cloud infrastructure providers under strict Data Processing Agreements (DPAs).
Regardless of geographic location, we provide comprehensive statutory rights over your personal information:
Submit formal statutory requests to our dedicated Data Protection Officer. We verify identity and respond within 30 days without fee.
Email Privacy Team →Engineered to satisfy institutional compliance frameworks, NDAs, and international regulations.
Client datasets and private prompts are never used to train public or foundation models.
Custom adapters, embeddings, and fine-tuned weights belong exclusively to your organization.
Standard Contractual Clauses (SCCs), DPA provisions, and comprehensive user rights frameworks.
Rigorous TLS 1.3 transport security, AES-256 rest encryption, and isolated client VPC networks.
Binding confidentiality protocols executed across every research engineer and data scientist.
Client datasets and private prompts are never used to train public or foundation models.
Custom adapters, embeddings, and fine-tuned weights belong exclusively to your organization.
Standard Contractual Clauses (SCCs), DPA provisions, and comprehensive user rights frameworks.
Rigorous TLS 1.3 transport security, AES-256 rest encryption, and isolated client VPC networks.
Binding confidentiality protocols executed across every research engineer and data scientist.
Our compliance officers and AI security architects are available to review custom Data Processing Agreements (DPAs) or answer any privacy questions.