Digital Advisors, LLC

Digital Advisors, LLC

Software for institutions that cannot afford to be wrong.

We build secure, mission-critical software for federal customers — modern application architecture delivered through DoD software factories, hardened and containerized for authorized environments.

Domain
Case management for legally restricted records, population-scale reporting, and the authorization path that lets either one go live.
Method
AI-accelerated engineering under human governance. In the delivery method — never in the mission path.
Platform
Emma — the agentic architecture our own delivery runs on.
Small senior teams Synthetic data · fictional locations Federal · regulated data

01  /  Practice

The work we take.

Four capabilities, all of them versions of the same problem: a system that holds something consequential, in an environment that will not let you move fast, for users who have no alternative.

01

Case management for legally restricted records

Replacement of aging record systems in domains where confidentiality is a legal obligation rather than a preference, and where an entire class of record must remain non-discoverable across every surface of the system.

Outcome shape. Non-discoverability enforced by construction — in the data model, the query path, the audit trail and the notification channel — rather than by policy asserted on top of a system that could leak.

02

Delivery into software factories and authorized environments

Containerized from the first commit, built on hardened base images, promoted by digest through blocking security gates, with the authorization evidence produced as a byproduct of the pipeline.

Outcome shape. The artifact that passes the gate is provably the artifact that runs, and the body of evidence survives handoff to the Government rather than living in a contractor's tooling.

03

Traceability and decision architecture

Requirements, tests, user stories, roles and controls linked end to end, with the linkage validated by script rather than asserted in prose, and architecture decisions captured as reviewable records.

Outcome shape. Any claim in a deliverable can be walked back to its source mechanically, and unvalidated assumptions are visibly marked as unvalidated instead of being smoothed into confident language.

04

Governed AI-accelerated engineering

AI used to compress design and build cycles under human governance, with deterministic validation gates and an explicit architectural boundary keeping model output out of the mission path.

Outcome shape. Delivery rate improves without introducing a system where a model decides anything about a person.

02  /  Platform

Emma.

Our premier product, and the reason a team this size can carry scope this large. Emma is a control plane for AI engineering work — a harness of harnesses. Every agent we run, on every machine, reports into one surface where a human can see it, question it and stop it.

One control plane

Named agents with their own identities, capabilities and credentials — across harnesses, models and machines, in one conversation.

Durable memory

Context that survives the session. Decisions, constraints and prior reasoning travel with the work instead of being re-derived.

Policy gates

Autonomy levels with teeth. Anything irreversible holds for an explicit human yes, and the hold is visible.

An auditable record

Every run, question and approval lands in one reviewable stream. A quiet day looks different from a dead pipeline.

The boundary

Emma is a delivery instrument. It compresses requirement analysis, document production, traceability validation and build. It is not shipped inside a mission system, and no model we run adjudicates, scores or ranks a human being. That line is architectural, not a policy promise, and we would rather lose an argument about it than blur it.

03  /  Method

Seven things we do that most teams skip.

This is not a delivery framework with a name and a certification. It is the sequence we actually run, and each step exists because skipping it is how federal programs get into trouble.

Phase 01

Read the actual requirement, not the summary.

Every requirement in the solicitation is extracted into a structured matrix and allocated — in scope, optional, or out. Coverage is counted rather than asserted. The uncomfortable output of this phase is a list of requirements nobody can trace to a source, and those get asked about rather than assumed.

Phase 02

Ask the questions everyone else skips.

Questions to the customer are generated from the requirement matrix itself and prioritized, so the gaps raised are the ones that decide whether the objectives are achievable — not the ones that are comfortable to ask. Which questions go unanswered is itself a finding, and it is tracked as one.

Phase 03

Build the thing, then argue from it.

A working prototype is built during the pursuit and used as the argument, in place of slideware. It is inspected by the evaluation team, clicked, and challenged. Built on synthetic data and fictional locations by construction, so there is never a question of what it is sitting on.

Phase 04

Make traceability mechanical.

Requirements, tests, stories, roles and controls are linked, and the linkage is validated by a script that fails when it breaks. A claim that cannot be walked back to its source does not ship.

Phase 05

Decide in writing, in advance.

Architecture decisions are recorded before they are implemented, with the alternatives and the cost of the choice stated. When a decision later changes, the record changes and the reason is visible rather than archaeological.

Phase 06

Be honest about provenance.

What the contractor proposed and what the customer validated are marked differently and never blended. Unmapped controls and open decisions are flagged rather than allowed to look settled. A package that looks cleaner than the facts support is a liability at exactly the moment it matters.

Phase 07

Ship through the factory from commit one.

Containerized, hardened, digest-pinned and gate-scanned from the beginning rather than as an integration phase at the end, so security findings surface at an engineer's desk instead of at a promotion gate.

04  /  The record

What has actually been done.

Design-and-pursuit phase. These are counts of artifacts that exist, produced by a team in the low single digits.

0+

customer requirements extracted, allocated and traced through a single matrix, linked to tests, stories and roles.

0

architecture decision records written and reviewed before implementation.

0screens

across seven distinct user roles in a working multi-persona prototype, on synthetic data and fictional locations.

0

formal clarification questions generated from the requirement matrix and prioritized before submission.

0+

internal review comments dispositioned against a single document before it was released.

0milestones

on a fixed-price prototype with a six-month initial capability date, payment gated on delivery at each one.

What is not on this page, and why. There are no cycle-time reductions, uptime figures, user counts or authorization claims here, because delivery has not started and none of them exist yet. A capabilities page is the easiest thing in the world to inflate and the easiest thing in the world to check. We would rather be short a paragraph than owe you a retraction — so this page counts artifacts we can hand you, and stops.

05  /  Careers

Three seats. Senior only.

One engineer, one designer, one infrastructure engineer. Each of you is the only one of you. There are no layers between you and the decision, which is the appeal and also the risk, and we would rather say both.

06  /  Contact

Tell us the hard part first.

If you are a program office with a system nobody can compile, a prime looking for a sub who can carry the technical volume, or an engineer who read the restricted-record problem above and wanted to open a file — that is the same inbox.