News provided by
Feb 04, 2025, 16:13 ET
Following a successful pre-seed in mid-2024, ID Privacy AI opens its seed round to meet rising demand from enterprises in automotive, healthcare and media.
CAPE CORAL, Fla., Feb. 4, 2025 /PRNewswire/ — ID Privacy AI, a leader in privacy AI technologies and enterprise AI solutions, today announces the launch of its Alice Model and its first-of-a-kind, Native AI-first platform, built to securely deploy, orchestrate, and fine-tune multi-agent AI systems at scale.
Unlike traditional AI solutions that struggle with data integration, security vulnerabilities, and fragmented AI workflows, ID Privacy AI’s model-agnostic and cloud-agnostic architecture is designed to unify enterprise data, enforce rigorous privacy standards, and automate business operations with AI-driven agents.
“Enterprises aren’t just looking for AI, they need AI that actually works within their business, protects their data, and integrates seamlessly across operational workflows,” said Albert Thompson, CEO of ID Privacy AI.
“The three biggest barriers to full-scale AI adoption have been fragmented data integration across multiple systems, the lack of control over how that data is processed within fine-tuned models, and persistent concerns around privacy and security. At ID Privacy AI, we’ve designed our platform to seamlessly unify data, enforce enterprise-grade security, and enable fully integrated, scalable AI solutions—eliminating these challenges once and for all.”
Breaking Down the Barriers to AI Adoption
Despite the widespread excitement around AI, most enterprises still struggle to implement it effectively. The key challenges include:
Data Ingestion Across Disconnected Systems
The primary challenge for AI adoption is the inability to ingest and harmonize data across multiple enterprise platforms, including CRM, DMS, ERP, marketing stacks, and proprietary business intelligence systems. Current AI solutions often force enterprises to manually clean, structure, and migrate data, leading to inefficiencies, errors, and compliance risks.
ID Privacy AI Solution:
- Proprietary Data ETLV™ (Extract, Transform, Load, Vectorize) process that extracts, transforms, normalizes, vectorizes data and integrates over 500+ structured and unstructured data sources, and the company has even developed a Txt2SQL technology for querying massive datasets to retrieve actionable insights.
- Real-time vectorization: RTV™ that transforms enterprise or source data into an AI-Ready knowledge base in seconds.
- End-to-End data-driven model harmonization, reducing AI model development time from months to minutes, enabling enterprises to build, test, fine-tune and deploy custom data-driven AI models and Agentic Models at scale.
Data Privacy & Security in AI Workflows
The second major barrier is data security. Many enterprises hesitate to deploy AI due to data breach risks, compliance challenges, and unauthorized AI training on sensitive information.
ID Privacy AI Solution:
- Privacy-first AI Architecture, ensuring data remains within enterprise-controlled environments.
- Homomorphic & Polymorphic Encryption, differential privacy, and secure multi-party computation (SMPC) for full compliance with GDPR, CCPA, and HIPAA regulations.
- Model-agnostic deployment, allowing enterprises to choose whether to host AI models on-premise, in a private cloud, or across hybrid infrastructures.
Fragmented AI Integration & Lack of Multi-Agent Orchestration
Traditional AI assistants and chatbots fail to work across departments, leading to disjointed workflows and incomplete automation. AI models often operate in silos, unable to effectively communicate across an organization’s sales, marketing, customer service, and operational teams.
ID Privacy AI Solution:
- Multi-agent orchestration layer that enables AI agents to collaborate, learn in context, and autonomously execute tasks.
- Fine-tuned AI models in minutes, optimized for industry-specific applications.
- Seamless interoperability across all enterprise tech stacks, ensuring end-to-end AI integration.
Introducing Alice: The Future of Agentic AI
ID Privacy AI’s Alice Model & Platform is a first-of-its-kind Agentic AI system capable of:
- Automating multi-channel agent communication (Email, SMS, AI-Voice, Social Messengers) using latest in Conversational AI and Voice-Enabled Technology.
- Self-learning and Optimization using real-time enterprise-data, fully powering autonomous AI agents.
- Serving as an autonomous AI workforce extension, capable of operating across sales, customer service, or any department and back-office operations.
“AI’s future isn’t just about building better models, it’s about ensuring AI can be deployed across secure, interconnected business environments while maintaining full compliance and operational efficiency. Our ID Privacy Native-First AI Platform isn’t just a chatbot it’s a fully autonomous AI workforce extension,” said Dr. Shaoor Munir, Chief AI and Data Officer at ID Privacy AI.
Enterprise AI Deployment in Minutes, Not Months
- Plug-and-play AI architecture that can be deployed on any cloud, on-premise, or hybrid environment.
- Custom AI training and fine-tuning in real time—eliminating the need for costly, time-intensive AI retraining cycles.
- Industry-Agnostic capabilities, optimized for automotive, finance, healthcare, and government sectors.
AI Knowledge Market: Unlocking Enterprise Intelligence
To further enhance enterprise AI capabilities, ID Privacy AI is launching the AI Knowledge Market, a secure, federated data ecosystem that allows businesses to:
- License proprietary data sets to enrich AI models and predictions.
- Aggregate external insights to improve AI accuracy over time.
- Enable cross-industry AI collaboration while ensuring full data sovereignty and compliance.
Investor Appeal & Seed Round Opening
Following a successful pre-seed round in 2024, IDPrivacy AI is opening a $ multi-million seed round to scale its AI-first platform, enhance multi-agent capabilities, and drive enterprise adoption.
Why Investors Are Paying Attention:
Explosive Market Growth – The enterprise AI market is projected to reach $134 billion by 2030, driven by increased demand for automation, operational efficiency, and data security.
First-Mover Advantage in Secure Agentic AI Deployment – ID Privacy AI solves enterprise AI adoption barriers that competitors haven’t addressed, making it a strategic investment opportunity.
“Investors recognize that AI success isn’t just about models or AI-assistants, it’s about the end-to-end transformation of work, data integration, enterprise security, and agent usability,” said Albert Thompson, CEO of ID Privacy AI. “Our platform redefines enterprise AI adoption, making AI Agents truly autonomous, privacy-preserving, and business-ready, for any vertical or horizontal use case.”
A Leadership Team with Proven Execution
ID Privacy AI is led by industry veterans with deep expertise in AI, data science, and enterprise technology, including:
- CEO & Founder Albert Thompson – Experienced tech leader (25+ years in data, AdTech, automotive) with a track record of successful acquisitions and startup growth (Series A, mid-high 8-figure valuation). Founder of ID Privacy AI.
- CTO Emeka Kalu – Software engineering leader (15+ years) with a proven track record building scalable AI systems at Meta, Spotify, and BBC UK. Expertise in leading high-performing teams and delivering transformative technology solutions.
- CADO (Chief AI Data Officer) – Dr. Shaoor Munir – UC-Davis PhD specializing in Artificial Intelligence, machine learning and privacy enhancing technologies.
- VP of AI – Muaz Maqbool – AI product expert with deep experience in LLM-driven automation and multi-agent orchestration.
As enterprises continue to navigate the complexities of AI adoption, ID Privacy AI stands at the forefront, offering a revolutionary solution that combines privacy-first architecture, seamless data integration, and multi-agent orchestration. With the launch of the foundational Alice Model and our Native AI-first platform, we’re redefining how businesses deploy and scale AI models—securely, efficiently, and without compromise. Ready to transform your enterprise with AI that works for you, with your data, and within your workflows? Visit IDPrivacy.ai to learn more or reach out to us directly at info@idprivacy.ai to schedule a personalized consultation.
Media Contact: For inquiries or investment opportunities, contact: Albert Thompson CEO, ID Privacy AI Email: albert@idprivacy.ai, Website: www.idprivacy.ai
Founded in 2024, ID Privacy AI is a leader in privacy-first AI solutions, empowering enterprises to securely harness the power of artificial intelligence without compromising privacy. The company’s platform combines data sovereignty, pre-processed model deployment, and advanced PII encryption to deliver secure, scalable AI workflows. Backed by a world-class team with deep industry experience, ID Privacy is redefining ethical AI for enterprises across industries.
SOURCE ID Privacy AI