Diliko Launches AI-powered On-demand Data Management Solutions

Highlights:

• Diliko developed a cloud-based platform engineered for flexibility, enabling organizations to operate across siloed and distributed data sources on various types of infrastructure.
• Diliko has developed a patent-pending privacy-preserving system that safeguards sensitive data and is built to comply with regulatory standards such as GDPR, HIPAA, and CCPA.

Diliko, a startup offering AI-powered on-demand data management solutions for midsized enterprises, has recently made its public debut.

The company’s platform provides a cloud-based solution that automates intricate data workflows, handles security, ensures AI governance, and optimizes performance. At its core, it leverages agentic AI, an emerging trend in the AI industry where generative AI agents autonomously perform tasks, make complex decisions, and conduct analyses, while continuously learning with minimal human oversight.

Ken Ammon, Diliko’s chief strategy officer, explained in an interview that the company is focused on mid-sized enterprises because these businesses must embrace AI to stay competitive.

“The largest companies already have large teams and legacy platforms, and they’re investing in investigating and adopting AI. But we felt there was an opportunity for a company to come to market with a ready-made solution that would essentially stand between the consumers of data and data, and allow midmarket customers to easily get to information and apply it to use cases,” Ammon said.

To achieve this, Diliko developed a cloud-based platform designed for flexibility, enabling organizations to work seamlessly across siloed and distributed data sources and various types of infrastructure. The platform integrates data from both internal and external systems to generate insights, facilitating effective scaling and data management across fragmented environments.

The company’s automated extract, transform, and load (ETL) processes ensure real-time data cleansing and standardization across customer platforms, removing the need for multiple tools. This allows mid-sized enterprises to easily ingest, analyze, and utilize data across any operation without requiring additional resources.

Diliko has developed a patent-pending privacy-preserving system that secures sensitive data and is designed to comply with regulatory standards such as GDPR, HIPAA, and CCPA. This system is complemented by cloud-native security features, including zero-trust architecture and encryption, which minimize the potential attack surface for data both in transit and at rest within hybrid cloud environments.

Ammon, who has a background in technology and security, specializes in data governance and compliance. Diliko’s CEO, Dave Albano, a former vice president at AT and T Inc., brings over 35 years of experience in technology and business operations. Chief Technology Officer Abdul Altamimi, an expert in data management, has more than 30 years of experience creating data solutions to optimize client data. Meanwhile, Executive Chairman Glenn Hazard also boasts over three decades of experience in the security and technology sectors.

“I think we’ve taken a little bit of the chocolate and the peanut butter and put it into the Reese’s peanut butter cup. So, I think that’s a real differentiator for us: real deep security background, yet built by data pros who really understand the challenges of how you go about getting this data and producing it to a usable form,” Ammon said.

The healthcare and financial services sectors have been the fastest adopters of Diliko’s platform due to their significant data challenges and specific security and regulatory requirements. This is especially true in healthcare, where managing patient privacy and data sharing presents considerable obstacles.

“Partnering with Diliko has elevated our data management capabilities to new heights. Diliko’s agentic AI platform empowers us to seamlessly manage complex data pipelines with efficiency and precision, ensuring compliance in real time. This partnership allows us to focus on innovation and growth, confident in the strength of our data operations,” said Micah Laughlin, chief information officer for Love.Life, an integrated health and wellness company.

Ammon noted that most customers can deploy an agentic AI-powered data management solution and start realizing value within 30 days. Typically, customers outline their data management challenges, which are then relayed to the AI agents to develop a data-driven solution. For companies without a dedicated data team, the deployment may take up to 60 days, though they still experience some benefits within the first month.

The company provides flexible pricing options designed for midmarket businesses, enabling them to adopt its solution with predictable yearly costs. Customers can choose from various platform tiers based on their budgets. Currently, Diliko has about 12 fully paying clients, with the average annual data management plan priced at USD 100,000 in recurring revenue.

Ammon said, “We’ve done all this with internal funding, no outside capital.” He noted that the company is planning a Series A funding round, expected to close in the first quarter of 2025, to bolster its go-to-market efforts.