Diliko Unveils Cloud-Based Agentic AI Platform for Mid-Sized Enterprises’ Data Management

Diliko Unveils Cloud-Based Agentic AI Platform for Mid-Sized Enterprises’ Data Management

Diliko, an Agentic AI-powered on-demand data management provider for mid-sized enterprises, has officially launched after years of dedicated research and development. Led by an experienced executive team, Diliko offers a comprehensive, cloud-based platform that automates intricate data management tasks, prioritizes security and AI governance, and enhances performance. Designed for sectors like healthcare, finance, and logistics, Diliko’s Agentic AI platform empowers organizations to efficiently manage their data without the expense of maintaining complex infrastructure.

“With Diliko, mid-sized companies can access enterprise-level data management without the additional infrastructure costs,” said CEO Dave Albano. “Our platform simplifies operations, secures sensitive data, and provides real-time insights, allowing organizations to concentrate on growth and innovation.”

Diliko’s solution meets the need for scalable and secure data management by removing the financial and operational burden of on-site infrastructure. This is especially beneficial for mid-sized enterprises seeking effective data solutions without significant investment. Key features of the platform include:

• Patent-Pending Data Privacy: Diliko’s advanced privacy features, like differential privacy and federated learning, help organizations meet strict standards like GDPR, HIPAA, and CCPA, enabling data-driven insights while ensuring regulatory compliance.

• Support for Distributed Data: Designed for flexibility, Diliko connects and integrates data across fragmented systems, enabling organizations to manage data from multiple sources without depending on a single infrastructure.

• Data Security and Zero Trust: With cloud-native security measures such as zero trust architecture, end-to-end encryption, and multi-factor authentication, Diliko offers strong security within hybrid cloud setups, minimizing security risks without requiring an in-house security team.

• Automated ETL and Data Orchestration: The platform automates Extract, Transform, Load (ETL) processes to prepare data for real-time analysis, streamlining complex workflows and reducing reliance on multiple tools.

• Real-Time Data Synchronization: Diliko powers real-time analytics by synchronizing data across internal and external systems, ensuring timely, actionable insights. For example, healthcare providers can seamlessly integrate patient records with analytics platforms for informed decision-making.

Micah Laughlin, CIO of Love.Life, shared, “Partnering with Diliko has greatly enhanced our data management. The Agentic AI platform allows us to efficiently manage complex data pipelines while ensuring compliance, enabling us to focus on innovation with confidence in our data operations.”

How the Diliko Platform Works

Diliko’s Agentic AI technology autonomously manages data integration, orchestration, and governance across varied environments. Automated ETL processes streamline data ingestion, transformation, and preparation, reducing the time spent on data preparation tasks. The platform’s privacy measures, real-time monitoring, and proactive error management provide clients with a cohesive data management solution that minimizes costs and improves operational efficiency. As a cloud-based service, Diliko enables mid-sized enterprises to direct resources towards growth and innovation rather than infrastructure management.

A Proven Leadership Team

Diliko’s executive team brings extensive expertise in technology, security, and data management:

• Dave Albano, CEO: Former VP at AT&T, with over 35 years in tech and operations leadership, managing $1.6 billion in annual revenue.

• Glenn Hazard, Executive Chairman: With 30+ years in security and tech, Glenn has led both venture-backed and publicly traded companies and oversees strategic growth at Diliko.

• Ken Ammon, Chief Strategy Officer: With 30 years in tech strategy and security, Ken has led companies like OPAQ Networks to successful acquisitions, focusing on data governance and compliance.

• Abdul Altamimi, CTO: A global expert in data management, Abdul steers Diliko’s technology vision, leveraging his three decades of experience in data optimization.

• Rick Rose, CFO: With financial leadership roles at Xceedium and CA Technologies, Rick ensures a scalable, transparent pricing model tailored to mid-sized enterprises.

Availability and Pricing

Diliko’s platform, featuring a fully managed data warehouse and real-time analytics tailored to enhance data operations and support informed decisions, is now available worldwide through Diliko and its partners.

A flexible pricing structure allows mid-market organizations to adopt scalable, customized data management solutions with predictable annual subscription fees. Packages are offered in Platform Tiers with various Connectors and Add-ons to meet diverse data integration needs, including SLA-backed support, high availability, and expert guidance from Diliko’s Data Pro Customer Success team.

Tintri Unveils Advanced Kubernetes Data Management with VMstore CSI Driver

Tintri, a DDN subsidiary and leader in AI-powered data management, has announced the release of its VMstore features for Kubernetes environments with the launch of the new VMstore Container Storage Interface (CSI) driver.

The Tintri VMstore platform is renowned for delivering exceptional visibility into performance, data protection, and management for virtual machine workloads, all with an emphasis on simplicity. With the new CSI driver, VMstore users can now achieve this same level of insight within Kubernetes environments, enabling them to seamlessly manage both container and VM workloads through a unified interface.

VMstore Cloud Native CSI Driver

The VMstore CSI driver allows administrators to manage data using Tintri’s familiar interfaces and tools, simplifying the complexity of hybrid VM/container environments. The driver supports dynamic provisioning and automatic volume attachment and detachment for containers, integrating with platforms that support raw CSI access to effectively manage data for microservices-based deployments.

"Tintri’s new IO-aware CSI driver is the most versatile data management solution for Kubernetes, reshaping the way IT administrators manage Kubernetes environments in both cloud and on-premises settings," said Tintri’s CTO, Brock Mowry. "The VMstore CSI driver provides essential tools that empower administrators—regardless of their Kubernetes expertise—to efficiently manage and optimize data across physical and virtual clusters."

Key Features and Benefits

• Advanced Observability and Management: VMstore users with container environments gain comprehensive insights into data flow and activity. The VMstore CSI driver streamlines workload transitions between cloud environments, increasing operational efficiency with automated performance tuning. ETPH analytics offer insights to help optimize cloud storage costs.

• Outstanding Performance and Control: Using Tintri’s TxOS technology, the VMstore CSI driver enables admins to dynamically adjust container performance and autonomously prioritize application workloads in real-time. Through Tintri Global Center (TGC), admins can oversee multiple VMstores functioning as Kubernetes clusters, managing them globally or locally from a single interface.

• Robust Data Protection and Recovery: With TxOS integration, Tintri enhances data protection and disaster recovery in Kubernetes environments, including support for snapshots and cloning of persistent volumes and large datasets, ensuring reliable storage, secure data handling, and efficient recoverability.

Silicon Sky, a forward-thinking provider of IT infrastructure and managed security services, has implemented Tintri VMstore as the foundation of its Infrastructure as a Service (IaaS) and Disaster Recovery as a Service (DRaaS) operations. Silicon Sky uses the Tintri CSI driver across its cloud and on-premises data centers. "Providing primary storage, disaster recovery, and data protection in a single solution simplifies and improves IT operations," said Tim Averill, CTO, Silicon Sky.

View Systems Launches AI-Driven Data Management Platform for Advanced Workloads

View Systems Inc. has announced the general release of its primary offering, View AI, a data management platform optimized for AI workloads. The startup, based in Pine, Colorado and backed by venture capital, also revealed it has joined the AI Platform Alliance, an industry consortium established last year by Ampere Computing Inc. and several other chip manufacturers. The alliance is focused on making AI hardware more efficient and sustainable.

Led by CEO Joel Christner, a former distinguished engineer at Dell Technologies Inc., View’s leadership includes co-founders with executive experience in enterprise tech and law. Christner previously oversaw data management software and AI research programs at Dell.

View AI—the company’s newly available product—is a data management platform tailored for AI applications. It can ingest files from an organization’s internal systems, standardize them into a single format, and make them accessible to machine learning models. It includes an integrated chatbot for users to query data through natural language.

The platform is built on Universal Data Representation (UDI), a proprietary technology that examines each uploaded business document, extracts essential sections, and divides the data into smaller parts (chunking) for better comprehension by language models.

View AI further simplifies AI data processing by converting customer files into embeddings, the mathematical formats that neural networks use to store and analyze data. It also highlights connections between documents, such as common storage origins, to give AI applications a comprehensive view of the data.

The platform can optionally create an inverted index, which functions like a spreadsheet, allowing users to search for specific words, phrases, or numbers across documents. This index is crucial for enabling natural language search features in AI services.

View’s platform is designed to run both in the cloud and on-premises, and provides data access via an API that facilitates easy integration into companies’ AI software.

“Users can connect, process, search, and interact with data within an hour, without losing control over their data or needing to send it outside their organization,” said Christner. View will offer the platform under two pricing models: a pay-as-you-go plan based on data processed, and through partnerships with data center infrastructure providers.