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ID Privacy AI Launches the Only Native AI-First Platform with Autonomous Agents for Creating Secure, Custom AI Models from Enterprise Data Sources

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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.

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SOURCE ID Privacy AI

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Portland Public Library Delivers Almost 50% Increase In User Engagement with New Web Redesign

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MIAMI, April 21, 2026 /PRNewswire/ — Digital Silk, an award-winning agency focused on creating brand strategies, custom websites, and digital marketing campaigns, announces the launch of a redesigned website for Portland Public Library, a public institution serving the education, community services, and nonprofit sector. The project focuses on improving user experience, content discoverability, and engagement while introducing a scalable CMS to support ongoing updates. The new platform is now live at https://www.portlandlibrary.org/.

The redesigned website reflects a strategic effort to better serve a diverse audience by improving navigation, enhancing accessibility, and creating clearer pathways to programs, events, and resources.

Improving Engagement Through User-Centric Design

Portland Public Library required a modern digital platform to address challenges related to fragmented navigation, limited engagement pathways, and difficulty in accessing content. The previous website structure made it harder for users to find relevant information efficiently.

Digital Silk addressed these challenges through a full website redesign supported by user-centric information architecture and optimized user journeys. The updated experience prioritizes clarity, accessibility, and ease of navigation across a wide range of services and resources.

“Organizations like public libraries are increasingly relying on their digital platforms to serve as primary engagement hubs, making usability and content clarity more important than ever,” said Ana Margarida Meira, VP, Client Partner.

Measurable Improvements in User Engagement

Following the launch, Portland Public Library recorded measurable improvements in engagement metrics when comparing Feb 17 to Mar 23, 2026, against the previous period.

Key outcomes include:

+47.82% increase in average engagement time per active user+4.5% increase in engaged sessions per active user+18.38% increase in average engagement time per session

These improvements may indicate stronger interaction with site content and increased user engagement across programs and services.

Key Deliverables Supporting Accessibility and Scalability

The project combined design, UX strategy, and technical development to support both immediate engagement improvements and long-term flexibility.

Core deliverables included:

Full website redesign and developmentUser-centric information architectureEngagement-focused UX design and user journey optimizationInclusive design enhancementsScalable CMS with modular content componentsPerformance optimization and QA testing

The implementation enables the library’s internal team to manage content more efficiently while supporting dynamic updates for seasonal programming and community initiatives.

Supporting a Shift Toward Inclusive Digital Experiences

The project reflects a broader trend among public institutions and content-heavy organizations to prioritize inclusive design, improved content discoverability, and scalable content management systems. Increasingly, organizations are focusing on engagement metrics as a measure of digital effectiveness.

“A well-structured, user-centric website can significantly increase engagement by making it easier for diverse audiences to find, explore, and interact with valuable resources and services,” said Ana Margarida Meira, VP, Client Partner.

Building a Foundation for Ongoing Community Engagement

The redesigned platform provides Portland Public Library with a flexible and scalable foundation to support future growth. By improving accessibility and navigation, the website is positioned to better connect users with educational programs, community services, and digital resources.

More information about Digital Silk’s web development capabilities is available at https://www.digitalsilk.com/ and organizations can request a quote here

About Digital Silk

Digital Silk is an award-winning Miami Web Development Agency focused on growing brands online. With a team of seasoned experts, Digital Silk creates digital experiences through strategic branding, custom web design, and digital marketing services to help improve visibility and support engagement.

Media Contact

Jessica Erasmus
Marketing Director & PR Manager
Tel: (800) 206-9413
Email: jessica@digitalsilk.com

View original content:https://www.prnewswire.com/news-releases/portland-public-library-delivers-almost-50-increase-in-user-engagement-with-new-web-redesign-302747609.html

SOURCE Digital Silk

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LUMA Vision to Showcase VERAFEYE 4D Imaging Platform at HRS 2026, Signaling a New Foundation for EP Guidance

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DUBLIN, April 21, 2026 /PRNewswire/ — LUMA Vision, a leader in real-time 4D cardiac imaging and navigation, today announced its participation in the Heart Rhythm Society Annual Meeting (HRS 2026) in Chicago, where the company will showcase its VERAFEYE™ Visualization and Guidance Platform and highlight new clinical progress through physician-led presentations and scientific sessions.

At HRS 2026, LUMA Vision will demonstrate how VERAFEYE enables direct, real-time visualization of cardiac anatomy, catheters, and therapy delivery—a step-change from conventional imaging and mapping approaches. By combining live 2D and 4D intra-procedural imaging with precise digital anatomical models, the platform delivers CT-quality visualization in seconds, supporting faster, more intuitive, and more precise procedures.

VERAEYE is redefining EP Guidance — from tools to platform, VERAFEYE is designed to eliminate the fragmentation of current EP workflows by enabling physicians to see and guide therapy in real time, rather than relying on the traditional three separate systems of point-by-point mapping, ICE and fluoroscopy. Early clinical experience demonstrates the platform’s ability to:

Enable efficient single-operator workflowsSupport multiple ablation technologiesEliminate the use of fluoroscopyIntroduce a true two-catheter procedure

LUMA Vision will be featured across multiple sessions:

Wednesday, April 22 | 3:00 PM Embassy Suites by Hilton Chicago
Dr. Shephal Doshi will present at the Stanford Biodesign New Arrhythmia Technologies Retreat, highlighting the role of real-time 4D imaging in advancing EP innovation.

Thursday, April 23 | 5:00 PM McCormick Place Convention Center • Room S406AB
Dr. Vivek Reddy will present “AF Ablation with a Large-Focal PFA Catheter & Integrated Guidance” at the 3rd Annual PFA LIVE Case Summit, featuring the VERAFEYE™ System in collaboration with CardioFocus.

Saturday, April 25 | Time 12:00 to 2:00 PM Abstract Pavilion, McCormick Place (Exhibit Hall)
Dr. Toni Breskovic will present new clinical data demonstrating real-world workflow validation and procedural impact.

“This is a defining moment not only for LUMA Vision, but for the future architecture of cardiac procedures. VERAFEYE is a globally unique, AI–powered system that sits at the intersection of electrophysiology, left atrial appendage closure, and structural heart interventions, designed as a unified operating layer rather than a standalone procedural tool,” said Fionn Lahart, CEO of LUMA Vision. “What we are introducing with VERAFEYE is a unified, real–time view of the heart that has the potential to become the foundation for how cardiac procedures are performed.  As the field advances toward next–generation ablation technologies, guidance will no longer be an accessory. It will be the AI–enabled decision–making platform on which everything else is built.”

Driven by advanced AI algorithms, VERAFEYE interprets cardiac anatomy in real time, creating a single anatomical and guidance framework that spans multiple procedures. This intelligent foundation establishes a common procedural language through which therapies can enable greater precision, more efficient workflows, and tighter integration across the cardiac ecosystem.

Throughout the week, attendees are invited to visit Booth #2415 to meet the clinical team and experience how VERAFEYE delivers CT-quality digital anatomy in seconds, enabling a new level of precision and control in EP procedures. As EP continues to evolve toward energy-agnostic, platform-driven workflows, VERAFEYE is positioned to serve as a foundational imaging layer integrating across mapping systems.

About LUMA Vision

LUMA Vision is a privately held medical technology company headquartered in Dublin, Ireland, with key operations in Munich, Germany. The company designs and develops next-generation cardiac visualization and navigation systems that empower clinicians to see and treat with unmatched precision. VERAFEYE™, LUMA Vision’s flagship platform, delivers a real-time, 360° intracardiac view with an unprecedented field of visualization, redefining procedural accuracy in electrophysiology and structural heart interventions. Founded by CEO Fionn Lahart and CTO Christoph Hennersperger, LUMA Vision is committed to transforming cardiac care through innovation that improves outcomes and save lives.

Learn more at www.lumavision.com.

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SOURCE LUMA Vision

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Blaize and Datacomm Sign Technology Alliance MOU to Explore AI Inference Solutions Across Indonesia

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Technology Alliance Targets Indonesia’s Growing AI Inference Market, with an Initial Focus on Physical AI, Public Safety, Surveillance, and Industrial AI Applications

EL DORADO HILLS, Calif. and JAKARTA, Indonesia, April 21, 2026 /PRNewswire/ — Blaize Holdings, Inc. (Nasdaq: BZAI, Nasdaq: BZAIW) (“Blaize,” the “Company,” “we,” “our,” or “us”), a global leader in programmable, energy efficient AI computing, and PT Datacomm Diangraha (“Datacomm”), one of Indonesia’s leading IT service providers and cloud infrastructure specialists, today announced the signing of a Memorandum of Understanding (MOU) establishing a technology alliance to explore the potential of AI inference solutions across Indonesia.

The MOU was signed during a ceremony at Gitex Asia 2026 in Singapore, marking a meaningful step in both companies’ shared commitment to advancing practical AI capabilities across the Indonesian market.

Indonesia: A Strategic AI Market

Indonesia is one of the fastest-growing AI markets in Asia Pacific, with global hyperscalers, sovereign infrastructure programs, and enterprise technology providers all accelerating their presence in the country. According to the Empowering Indonesia Report 2025 by Indosat Ooredoo Hutchison and research firm Twimbit, sovereign AI could contribute up to USD $140 billion to Indonesia’s GDP by 2030, driving annual economic growth of up to 6.8%. Indonesia’s AI sector is expanding at a 31% CAGR, the fastest rate in Southeast Asia (Marketing-Interactive, 2026). Blaize and Datacomm are positioning this technology alliance to serve that growing demand, with an initial focus on physical AI, public safety, surveillance, industrial AI, and logistics.

Areas of Exploration

Under the MOU, Blaize and Datacomm intend to explore the following areas of cooperation:

AI Inference as a Service on DCloud: Exploring integration of Blaize’s Hybrid AI platform with Datacomm’s DCloud public cloud platform and datacenter infrastructure to enable scalable inference services for enterprise customers across Indonesia.Physical AI, Public Safety, Surveillance, and Logistics: Exploring AI inference use cases spanning physical security, video analytics, smart surveillance, and logistics optimization across Indonesia’s enterprise and public sector.Industrial AI: Jointly exploring AI inference applications for industrial automation, including computer vision and sensor-driven intelligence for Indonesia’s industrial sector.

“Asia Pacific is at an inflection point for AI inference, and Indonesia stands out as one of the region’s most significant contributors to that growth,” said Dinakar Munagala, Co-Founder and Chief Executive Officer of Blaize. “Datacomm brings exactly the trusted, deeply embedded infrastructure presence and enterprise relationships this market requires. Together, we are exploring how Blaize’s programmable, energy-efficient AI platform can unlock real-world value across public safety, smart infrastructure, physical AI, and logistics throughout Indonesia. This alliance is a strong foundation, and we intend to build on it.”

“At Datacomm, we have spent over three decades earning the trust of Indonesia’s enterprises, government institutions, and critical infrastructure operators,” said Tan Wie Tjin, President Director and Founder of PT Datacomm Diangraha. “Indonesia is on the cusp of a significant AI transformation, and the demand for intelligent, scalable, and secure inference solutions is accelerating across every sector we serve. This alliance with Blaize is a natural and exciting step in our journey toward the AI era. The combination of Datacomm’s cloud and datacenter infrastructure with Blaize’s world-class AI inference platform positions us uniquely to serve this demand. I look forward to exploring the possibilities this technology alliance will unlock for our customers and for Indonesia’s digital future.”

The MOU is non-binding and outlines a cooperative technology framework under which the parties may pursue specific projects through future definitive agreements. The alliance will prioritize enabling secure, scalable, and energy-efficient AI inference solutions that integrate seamlessly into existing cloud, datacenter, and physical environments across Indonesia.

About Blaize

Blaize delivers a programmable AI platform, purpose-built for AI inference workloads in real-world environments. Its Hybrid AI architecture combines the Blaize GSP (Graph Streaming Processor), an efficient AI processor, with GPU-based infrastructure, enabling AI inference workloads to run across edge, cloud, and data center. Blaize solutions support computer vision, multimodal AI, and sensor-driven applications across smart cities, industrial automation, telecommunications, retail, logistics, and defense. Blaize is headquartered in El Dorado Hills, California, with a global presence across North America, Europe, the Middle East, and Asia. To learn more, visit www.blaize.com or follow us on LinkedIn @blaizeinc.

About Datacomm

PT Datacomm Diangraha is one of Indonesia’s leading IT service providers, with over 30 years of experience in building and managing critical digital infrastructure. Founded in 1990 and headquartered in South Jakarta, Datacomm has grown from a data communication reseller into a comprehensive technology services company with more than 450 employees. The company serves customers across the enterprise, telecommunications, government, and military sectors through an end-to-end IT ecosystem that supports business transformation, covering cloud services, modern data center solutions, advanced IT security, DevOps, and reliable network infrastructure.

For more information, visit www.datacomm.co.id

Cautionary Statement Regarding Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the U.S. Securities Act of 1933, as amended (the “Securities Act”), and Section 21E of the U.S. Securities Exchange Act of 1934, as amended (the “Exchange Act”) that are based on beliefs and assumptions and on information currently available to Blaize, including statements regarding the expected scope of the engagement with Datacomm and any potential definitive agreements related thereto; the industry in which Blaize operates, market opportunities, and product offerings. In some cases, you can identify forward-looking statements by the following words: “may,” “will,” “could,” “would,” “should,” “expect,” “intend,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “project,” “potential,” “continue,” “ongoing,” “target,” “seek” or the negative or plural of these words, or other similar expressions that are predictions or indicate future events or prospects, although not all forward-looking statements contain these words. Forward-looking statements are predictions, projections, and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this document, including but not limited to: (i) changes in domestic and foreign business, market, financial, political and legal conditions; (ii) failure to realize the anticipated benefits of Blaize’s business combination with BurTech Acquisition Corp., which may be affected by, among other things, competition, the ability of the combined company to grow and manage growth profitably, maintain relationships with customers and suppliers and retain its management and key employees; and (iii) those factors discussed under the heading “Risk Factors” in our Annual Report on Form 10-K filed with the Securities and Exchange Commission (SEC) on March 24, 2026, our and other documents filed by Blaize from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Blaize assumes no obligation to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law, including the securities laws of the United States and the rules and regulations of the SEC. Blaize does not give any assurance that it will achieve its expectations.

Blaize Contact
press@blaize.com
www.blaize.com 

Investors
ir@blaize.com
www.blaize.com 

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SOURCE Blaize Inc.

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