DOMA makes the paperwork move

A veteran’s medical record can exist in several places and still be missing where it matters. The physician has it. The clinic has it. Somewhere, a fax machine may have it. But the person assessing a disability claim needs the evidence collected, legible, and attached to the right case. Until that happens, the claim waits. This is the territory DOMA Technologies chose: the awkward distance between having information and being able to use it.

It is an unusually practical starting point for an AI story. Before a model can find meaning in a medical history, somebody must get the history into a usable system. DOMA built a business around that somebody.

First, find the record

Pat Feliciano founded DOMA in 2000, after running a software business focused on loan automation. The company’s early premise was information management. Its later work stretched from scanning paper archives to extracting data, storing documents in the cloud, and automating the next task. Those services appeal to organizations with complicated records and recurring obligations: agencies, hospitals, schools, and public institutions.

The Veterans Benefits Administration provides a particularly clear example. A VA privacy assessment describes DOMA’s proprietary platform as a central entry point for requests for private treatment records. The national program helps regional offices and pension centers obtain evidence for benefits claims. The unglamorous part - receiving requests, coordinating retrieval, and passing documents onward - is the point.

Commence’s current case study says this work reduced record-retrieval turnaround from more than 40 days to about 12. It also reports more than 820 million records digitized and indexed. These are company-reported program results, rather than a promise that every disability claim will be decided in 12 days. Retrieval is one stage of a much longer process.

A scanner is only the beginning

DOMA’s product family explains how it approaches the job. DX Engage is its cloud content-management platform. Around that platform, its 2023 software brief described smaller tools: PinPoint for handwritten and typed form data, Redact for sensitive information, Reveal for unstructured content, and eSignature for signatures. DX Autonomous identifies data and automates routine tasks. The Edge Lab develops custom cloud applications.

The distinction is architectural and commercial. A customer can buy a targeted capability or combine it with the broader platform. Scanning deals with yesterday’s backlog; workflow configuration deals with tomorrow’s incoming documents. Cloud migration and managed services keep the machinery running. DOMA therefore sits between an enterprise content-software supplier and a contractor responsible for operating a real process.

That position puts it alongside content-management vendors and government technology integrators. The differentiator is the combination of software, records operations, and healthcare expertise. Its usefulness depends on whether the buyer needs that combination. A team with clean data and a simple shared-folder problem has a smaller problem than the one DOMA is organized to solve.

Then the company changed shape

Pleasant Land announced its acquisition and combination of DOMA and Livanta in November 2024. The attraction was complementary capability: DOMA brought data technology; Livanta brought healthcare quality oversight and clinical assessment. Feliciano became chief executive of the combined business. In May 2025, DOMA, Livanta, and Advanta Government Services announced the Commence name.

“We have access to resources and capital we did not have before.”Pat Feliciano, acquisition announcement, November 2024

That explains the decision more directly than a slogan about transformation. The combination added resources and clinical depth. At launch, Commence reported more than 500 licensed clinicians and a reach covering an estimated 30-40 million Medicare beneficiaries. Those figures describe the combined organization. They should not be read as DOMA’s standalone customer count or employee total.

The founder’s biography also connects DOMA’s beginnings to creating work for veterans and people with disabilities. Its historical DOMA Gives program organized donations, fundraising, and volunteering. That is the company’s stated culture; the practical question for customers remains whether its teams can deliver consistently through the tedious parts of a contract.

The price of moving the paper

A public procurement response signed in January 2023 offers a rare numerical glimpse. DOMA proposed annual software subscriptions of $69,000 for 1-500 users and $123,000 for 501-1,000 users. Storage was listed separately at $800 per terabyte annually; custom development was $157.64 an hour. The schedule included a 2% administrative and remittance fee.

These are historical bid prices with modular options and tailored quotes, not current retail rates. They reveal the business model: recurring software revenue plus storage, development, and delivery services. A buyer should compare the full workflow cost, including implementation and support, against the work removed. Counting cheaper storage alone misses the economics.

The next handoff is a language

Commence’s Fetch product, launched with The Language Group in September 2025, extends the same logic to discharge instructions. It places AI-assisted, human-reviewed translation inside electronic health-record workflows, including Epic. The document needs to reach the patient in a language the patient understands, while there is still time to explain it.

One company case study reports a 70% reduction in translator processing time across more than 15 facilities. The important design choice is keeping human review in the workflow. Moving an unreadable instruction faster would improve the wrong metric.

In 2026, Commence announced HITRUST r2 certification for its AWS-hosted DX Engage platform and a prime position on CMS’s $3.5 billion RMADA 3 contract vehicle. The latter is access to compete for work, not $3.5 billion of booked revenue.

The useful lesson to copy is modest: follow one piece of evidence through the whole process. Find where it waits, who must interpret it, and what happens when it is wrong. Automate that handoff, measure the delay, and keep an expert responsible for exceptions. DOMA’s story makes that ordinary discipline look consequential. In healthcare, it is.