Dilikoa startup that provides on-demand data management using artificial intelligence for mid-sized enterprise customers officially launched today.

The company’s platform provides a cloud-delivered platform that automates complex data workflows, manages security, AI governance and optimizes performance. Under the hood, use Agent AIa new trend in the AI ​​industry where generative AI agents take autonomous action on behalf of humans and make complex decisions and analysis while continuously learning with minimal supervision.

Ken Ammon, director of strategy at Diliko, told SiliconANGLE in an interview that Diliko targeted mid-market customers because those companies need to adopt AI to survive.

“The biggest companies already have large teams and legacy platforms and are investing in investigating and adopting AI,” Ammon said. “But we felt there was an opportunity for a company to come to market with an off-the-shelf solution that would essentially sit between the data consumers and the data and allow middle-of-the-road customers to easily get to the information and apply it to their cases of use.”

To make this happen, Diliko has built a cloud-based platform designed for flexibility across separate and distributed sources, enabling organizations to work across numerous types of infrastructure. It also synchronizes data between internal and external systems to provide insights. This capability allows it to scale and provide data management in fragmented systems.

The company’s automated extraction, transformation and upload processes ensure that data is sanitized and standardized across customer platforms in real-time, without the need for multiple tools. This means mid-sized enterprise customers can easily ingest and analyze data or use it in any operation without additional tools.

Diliko also has a privacy-preserving system that protects sensitive data and is designed to meet regulatory standards, including GDPR, HIPAA and CCPA. These features, in particular, are coupled with cloud-native security measures that include zero-trust architecture and encryption to help reduce the potential attack surface for data in motion and at rest in hybrid cloud environments.

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

“I think I took some of the chocolate and peanut butter and put it in the Reese’s peanut butter cup,” Ammon said. “So I think that’s a real differentiator for us: a real deep security background, but built by data professionals who really understand the challenges of how you go about getting that data and producing it in -a usable form.”

Healthcare and financial services, in particular, have shown the strongest industry adoption for the Diliko platform, as they have the greatest data challenges and particular security and regulatory issues. Especially in healthcare, where patient privacy and data sharing can be a huge burden.

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

Ammon said most customers are up and running with an AI-enabled data management solution that delivers value within 30 days. Usually, he said, the customer explains what data management issues are causing them problems. These are described to AI agents, which then form a solution based on the data. Companies without a data team might see a longer implementation window of 60 days, but he said they still see some value in the first month.

The company offers a flexible pricing plan for mid-sized businesses to adopt its solution with predictable annual costs, and customers can choose between different platform tiers based on their budgets. Diliko has about 12 fully paid customers and the average price for a data management plan is $100,000 annually recurring.

“We did all of this with internal funding, no outside capital,” Ammon said. However, he added that the company is eyeing a Series A funding round that may close in the first quarter of 2025 to fuel its go-to-market efforts.

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