Building Better Decisions, Stronger Communities.
Argos turns complex operational problems into intelligent systems — strategy, development, integration, training and support from one team.
The Argos AI Power
Strategy, systems, agents, knowledge, integration and private infrastructure — the constellation of capability behind every Argos engagement.
01
We map where AI actually creates value in your operation, then sequence the work so the first win is real and the roadmap survives contact with reality.
Opportunity mapping, data and workflow readiness, build-vs-buy framing, and a delivery sequence your teams can fund and staff.
02
Applied AI built as production software — models, interfaces, pipelines and operational guardrails delivered as one working system.
Web and mobile applications, multimedia and document workflows, sensor-aware services, and the plumbing that keeps them running.
03
Agents and automated workflows that carry real tasks end to end, with human checkpoints where judgment matters.
Tool-using agents, open-source coding models for agentic development, task orchestration, review gates and audit trails.
04
Turn scattered documents, records and telemetry into a retrievable knowledge layer your people and your models can both trust.
Ingestion pipelines, databases and vector stores, retrieval design, evaluation harnesses, and source-cited answers.
05
AI that plugs into the systems you already run — not another island your teams have to babysit.
API-based AI services, legacy and line-of-business integration, identity and access wiring, observability and rollback paths.
06
When data cannot leave, we stand up local inference and private environments so sensitive work stays inside your perimeter.
Local model serving, private evaluation environments, open-weight model selection, and deployment patterns for restricted networks.
From idea to operation
Argos can carry a capability from first conversation to daily operation, or step in exactly where your program needs help.
Stage 01 / 07
We sit with the people doing the work, trace the real process, and separate the problems AI can move from the ones it cannot.
Solutions & Services
Engagements are scoped around outcomes. Most start with one of these and grow into a longer partnership.
Strategy
Where AI pays off in your operation, what is blocking it, and what to do first.
Build
Concept to shipped product — interface, model layer, data and delivery.
Automation
Agents that complete tasks inside real workflows, with human checkpoints.
Knowledge
Retrieval systems that answer from your documents with traceable sources.
Software
Production applications engineered around the AI capability, not bolted onto it.
Biometrics
Signal, wearable and device data fused into intelligent, identity-aware services.
XR
Immersive scenarios with adaptive AI behavior for high-consequence training.
Data
Pipelines, warehouses and instrumentation that make AI work repeatable.
Security
Data boundaries, access control and privacy-preserving patterns designed in early.
Evaluation
Benchmarks on your data: quality, cost, latency, and where the model breaks.
Infrastructure
Private inference environments for sensitive data and restricted networks.
Integration
Connect AI to legacy systems and modernize what is holding the workflow back.
Pilot
Short-cycle builds structured to become a funded pilot, not a demo graveyard.
Delivery
Delivery leadership across vendors, stakeholders and technical dependencies.
Training & Development
We train the leaders who fund it, the engineers who build it, and the operators who live with it every day.
Choose your team
Short, high-signal sessions for leadership: where AI creates advantage, what it costs to do well, how to govern it, and how to tell a real opportunity from a demo.
What AI changes for your organization, your risk posture, and your next budget cycle.
Practical fluency for everyday staff: what to use, what to verify, what to avoid.
Hands-on work with model APIs, local inference, retrieval, and agentic development.
Teams bring real workflows and leave with working, reviewed automations.
Designing reliable prompts, tools and handoffs instead of one-off experiments.
Data handling, disclosure, oversight, and the boundaries your policies require.
Immersive, physiologically informed scenario practice for high-stakes roles.
Built around your systems, your terminology, and the way your teams actually work.
Consulting
Senior, direct, and grounded in delivery. We give you the recommendation we would follow ourselves.
01
A sequenced plan tied to operations, budget and capability.
02
Honest comparison of platforms, vendors and custom builds.
03
A second set of eyes on data flow, scaling and failure modes.
04
Evaluated against your data, constraints and cost envelope.
05
Policy, oversight and disclosure that teams can follow.
06
Pilots structured with success criteria and a path to production.
07
Moving an internal capability toward a market-ready product.
08
Stabilizing stalled builds and resetting scope, team and delivery.
09
Assessing technology, architecture and claims before you commit.
How we support you
Engagements are shaped to where you are — a decision to make, an idea to prove, a system to ship, or a capability to sustain.
Best for
Leaders deciding what to do — and what not to do — with AI.
Typical outcomes
Support style
Recurring sessions with a named Argos principal, plus written recommendations.
Best for
Proving an idea quickly with something real to test.
Typical outcomes
Support style
Short, focused engagement with weekly demos and a clear end point.
Best for
Taking a validated concept into live operations.
Typical outcomes
Support style
Dedicated delivery team, program management, and structured handoff.
Best for
Organizations treating AI as durable capability, not a one-off project.
Typical outcomes
Support style
Long-running partnership across strategy, build, training and support.
Explore Argos
Live sites across the portfolio, plus initiatives we describe at a high level until there is more to share publicly.
argosadvancedsolutions.com
The primary corporate site — company, capabilities and the wider portfolio.
myheartid.com
Cardiac biometric identity — proof-of-person and continuous authentication concepts.
phantomacquired.com
AI-enhanced immersive XR training and scenario development for high-consequence environments.
digitalchaplain.com
An Argos digital ministry and chaplaincy technology initiative.
audiosafe.live
An Argos ecosystem site focused on audio-centered safety technology.
argos://innovation
AI-assisted vehicle health and diagnostic intelligence across makes, models and protocols.
argos://innovation
Civic integrity initiative, described at a high level until more is shared publicly.
argos://innovation
Optical and data-observation initiative inside the Argos portfolio.
argos://innovation
Private and local AI environment for evaluation, prototyping and development.
New sites and initiatives are added to this ecosystem as they become public. Tell us what you are working on and we will point you to the right one.
Why Argos
AI, software engineering, biometrics, XR, operational training and commercialization — integrated on one team, accountable to one outcome.
The team writing your roadmap is the team that can build it. Recommendations are shaped by what we know how to ship.
We build to be tested in the field, not demoed once. Evaluation, integration and security are planned from the first sprint.
Adoption is a design problem. We train the operators, analysts and leaders on their workflows, in their language.
Systems drift, models change, operations evolve. We stay engaged so the capability keeps earning its place.
AI, software engineering, biometrics, XR, data science and design sit on the same team — not in separate vendors.
Much of our work touches identity, public safety and critical operations, where being careful is part of the specification.
Tell us what you are trying to accomplish. A senior Argos team member reads every inquiry.
Start the Conversation