Built to make specialist AI
the standard for high-stakes work.

Diginetics Intelligence Systems, Inc. builds production intelligence for operations where guessing is not an option. We discover governing relationships in client data, validate them before anything ships, and deploy them through specialist agents that reason from physical and operational reality.

13 industries

One discovery engine exercised across unrelated domains.

Isolated tenants

Every client environment runs on its own validated library.

Live deployments

Manifest with brokerages. Enterprise anchors in motion.

How systems actually behave

Every industry has more data than understanding. Generalist AI predicts language and fills gaps with plausible text. Diginetics deploys a different category: specialist intelligence grounded in relationships validated on each client's data, kept accountable by orchestration that runs whether or not someone is logged in.

Founding thesis, Diginetics Intelligence Systems, Inc.

Leadership

Operators who own the full stack.

No academic distance between the engine and the customer. The team that built the validation footprint is the team that ships specialists and closes deployments.

Michael Lazzarotti

CEO & Co-Founder

Built the discovery and validation engine and led exercise across all thirteen industries. Owns technical vision, product architecture, and deployment motion.

Evan O'Connell

CFO, COO & Co-Founder

Leads operations, finance, and go-to-market. Structures commercial partnerships and builds the operational foundation to scale from validation to revenue.

Ben Miller

Chief of Sales

Practicing real estate agent and sales lead for Manifest. Brings brokerage floor experience to how the product is sold, deployed, and adopted by agents and team leaders.

How We Operate

Institutional standards from day one.

Client isolation

Every deployment runs in a dedicated environment. Client data stays in the client's boundary. Operational answers draw from validated private libraries, not shared model memory.

Reproducibility

Every discovery run, validation result, and forecast is stored as a verifiable record. Teams, auditors, and partners can trace any answer to its source.

Concept on the site, proof in diligence

We describe architecture and category on diginetics.co. Detailed validation, benchmarks, and deployment specifics are shared directly with partners and investors.

Security and data handling →

Mission

Intelligence for what happens next.

That line is the product promise. Operators need to know what comes next in markets, fields, hospitals, and supply chains, and they need to trust the answer enough to act on it. Diginetics exists to make that kind of intelligence standard: mechanistic, validated, readable, and deployed as production infrastructure rather than experimental software.

The Platform Investor Overview

Talk to the founders.

Partnership, deployment, or investment inquiries.

michael.lazzarotti@diginetics.co

Built to make specialist AIthe standard for high-stakes work.