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Company

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.

Underwriting intelligence

Listing and deal intelligence for brokerages, CRE, lenders, and insurers.

Isolated tenants

Every client environment runs on its own validated library.

Live deployments

Elijah with independent regional brokerages. CRE and lending pilots in motion.

How systems actually behave
Operators have more data than understanding. LLMs help suggest what may happen next. Diginetics helps operators understand why things happening now are actually happening, and how those forces may repeat or change. Markets, industries, and businesses obey operating realities the same way physics does. Locate those realities in client data and decisions become natural, like brakes after you understand momentum. Elijah is how we do that. Underwriting Intelligence is what property firms use on top.
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
ML

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
EO

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
BM

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.

Talk to the founders.

Partnership, deployment, or investment inquiries.

Get in touch