Diliko, a startup that provides on-demand data management using artificial intelligence for midsized enterprise customers, officially launched publicly today.

The company’s platform offers a cloud-delivered platform that automates complex data workflows, manages security, AI governance and optimizes performance. Under the hood, it uses agentic AI, a new trend in the AI industry where generative AI agents autonomously take action on behalf of humans and make complex decisions and analyses while continuously learning with minimal supervision.

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

“The largest companies already have large teams and legacy platforms, and they’re investing in investigating and adopting AI,” Ammon said. “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.”

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

The company’s automated extract, transform and load processes make certain that data is sanitized and standardized across customer platforms in real-time without the need for multiple tools. That means midsized enterprise customers can easily ingest and analyze data or use it across any operation without extra tooling.

Diliko also has a patent-pending privacy-preserving system that protects sensitive data and is designed to meet regulatory standards, including GDPR, HIPAA and CCPA. These features in particular couple 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 Chief Executive 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 an expert in data management with more than 30 years of experience creating data solutions in optimizing client data and Glenn Hazard, executive chairman of Diliko, also has more than three decades of experience in the security and tech industry.

“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,” Ammon said. “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.”

Healthcare and financial services in particular have shown the strongest industry adoption for Diliko’s platform because they have the largest data challenges and particular security and regulatory issues. Especially in healthcare where patient privacy and data sharing can be a tremendous burden.

“Partnering with Diliko has elevated our data management capabilities to new heights,” said Micah Laughlin, chief information officer for Love.Life, an integrated health and wellness company. “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.”

Ammon said most customers get up and running with an agentic AI-enabled data management solution producing value within 30 days. Typically, he said, the customer explains what data management issues are causing them problems. Those get described to the AI agents, which then form a data-driven solution. Companies with no data team could see a longer window of a 60-day deployment, but he said they still see some value within the first month.

The company provides a flexible pricing plan for midmarket businesses to adopt its solution with predictable annual costs and customers can pick between different platform tiers depending on their budgets. Diliko has around 12 clients that are fully paid and the average price for a data management plan is $100,000 annual recurring.

“We’ve done all this with internal funding, no outside capital,” Ammon said. However, he added that the company is aiming for a Series A funding round possibly closing in the first quarter of 2025 to fuel go-to-market efforts.

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