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Building Better Decisions, Stronger Communities.

AI Built for the Real World.

Argos turns complex operational problems into intelligent systems — strategy, development, integration, training and support from one team.

Explore Our AI CapabilitiesTalk With Argos
  • AI
  • Biometrics
  • XR
  • Data
  • Software
  • Integration
ARGOS AI COREIdentityTrainingOperationsDecision SupportAutomation

The Argos AI Power

One team, six ways to put AI to work.

Strategy, systems, agents, knowledge, integration and private infrastructure — the constellation of capability behind every Argos engagement.

  • 01

    AI Strategy & Readiness

    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

    Custom AI Systems

    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

    Agentic AI & Automation

    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

    Data, RAG & Knowledge Systems

    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 Integration & APIs

    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

    Private & Local AI Infrastructure

    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

The whole lifecycle — or any stage of it.

Argos can carry a capability from first conversation to daily operation, or step in exactly where your program needs help.

Stage 01 / 07

Discover

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

What we actually deliver.

Engagements are scoped around outcomes. Most start with one of these and grow into a longer partnership.

  • Strategy

    AI Opportunity & Readiness Assessment

    Where AI pays off in your operation, what is blocking it, and what to do first.

  • Build

    AI Product Development

    Concept to shipped product — interface, model layer, data and delivery.

  • Automation

    AI Agents & Workflow Automation

    Agents that complete tasks inside real workflows, with human checkpoints.

  • Knowledge

    RAG & Enterprise Knowledge

    Retrieval systems that answer from your documents with traceable sources.

  • Software

    Custom Web & Mobile Applications

    Production applications engineered around the AI capability, not bolted onto it.

  • Biometrics

    AI + Sensor & Biometric Systems

    Signal, wearable and device data fused into intelligent, identity-aware services.

  • XR

    XR / Simulation + AI

    Immersive scenarios with adaptive AI behavior for high-consequence training.

  • Data

    Data Engineering & Analytics

    Pipelines, warehouses and instrumentation that make AI work repeatable.

  • Security

    AI Security & Privacy Architecture

    Data boundaries, access control and privacy-preserving patterns designed in early.

  • Evaluation

    Model Evaluation & Optimization

    Benchmarks on your data: quality, cost, latency, and where the model breaks.

  • Infrastructure

    AI Infrastructure & Local AI Lab

    Private inference environments for sensitive data and restricted networks.

  • Integration

    Integration & Modernization

    Connect AI to legacy systems and modernize what is holding the workflow back.

  • Pilot

    Prototyping, MVP & Pilot Programs

    Short-cycle builds structured to become a funded pilot, not a demo graveyard.

  • Delivery

    Technical Program Management

    Delivery leadership across vendors, stakeholders and technical dependencies.

Training & Development

Capability sticks when people are ready.

We train the leaders who fund it, the engineers who build it, and the operators who live with it every day.

Choose your team

Decisions, risk and investment

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.

  • AI strategy literacy
  • Risk & governance
  • Build-vs-buy judgment
  • Portfolio sequencing

  • Executive AI Briefings

    What AI changes for your organization, your risk posture, and your next budget cycle.

  • Workforce AI Literacy

    Practical fluency for everyday staff: what to use, what to verify, what to avoid.

  • Developer & Technical Training

    Hands-on work with model APIs, local inference, retrieval, and agentic development.

  • AI Adoption Workshops

    Teams bring real workflows and leave with working, reviewed automations.

  • Prompt & Agent Workflow Design

    Designing reliable prompts, tools and handoffs instead of one-off experiments.

  • Secure & Responsible AI Use

    Data handling, disclosure, oversight, and the boundaries your policies require.

  • Scenario-Based XR Training

    Immersive, physiologically informed scenario practice for high-stakes roles.

  • Custom Curriculum

    Built around your systems, your terminology, and the way your teams actually work.

Consulting

An advisory command center for hard calls.

Senior, direct, and grounded in delivery. We give you the recommendation we would follow ourselves.

01

AI Strategy & Roadmaps

A sequenced plan tied to operations, budget and capability.

02

Build-vs-Buy Analysis

Honest comparison of platforms, vendors and custom builds.

03

Architecture Review

A second set of eyes on data flow, scaling and failure modes.

04

Vendor & Model Selection

Evaluated against your data, constraints and cost envelope.

05

Governance, Risk & Responsible AI

Policy, oversight and disclosure that teams can follow.

06

Pilot Design

Pilots structured with success criteria and a path to production.

07

Product Commercialization

Moving an internal capability toward a market-ready product.

08

Program Recovery

Stabilizing stalled builds and resetting scope, team and delivery.

09

Technical Due Diligence

Assessing technology, architecture and claims before you commit.

Bring Us the Hard Problem

Featured Argos Innovations

Products born from real problems.

Argos builds for clients and builds its own. Each of these started as an operational question nobody had answered well.

Cardiac biometric identity

HeartID

HeartID is a cardiac-biometric identity platform wholly owned by Argos. It explores proof-of-person and continuous, liveness-oriented authentication using the living cardiac signal.

  • Biometrics
  • Identity
  • Wearables
  • Continuous auth
Explore HeartID

Immersive XR training

Phantom Acquired

AI-enhanced immersive VR/XR training for peace officers and warfighters, built around cognitive stress, physiological monitoring and realistic scenario branching.

  • XR
  • Simulation
  • Public safety
  • Human performance

Civic integrity technology

Sentry Voting

An Argos initiative in the civic integrity space. Details are shared directly — we keep public description deliberately high-level.

  • Civic
  • Integrity
  • Argos Innovation

Argos innovation

BlueLenz

An Argos initiative in the optical and data-observation space. Public detail is intentionally limited at this stage.

  • Optics
  • Data
  • Argos Innovation

Private AI experimentation

Argos AI Lab

Our private and local AI environment for model evaluation, prototyping and development — where approaches get tested before they reach your operation.

  • Local inference
  • Evaluation
  • Prototyping
  • R&D

How we support you

Four ways to work with Argos.

Engagements are shaped to where you are — a decision to make, an idea to prove, a system to ship, or a capability to sustain.

Advisory

Best for

Leaders deciding what to do — and what not to do — with AI.

Typical outcomes

  • Opportunity map
  • Sequenced roadmap
  • Build-vs-buy position

Support style

Recurring sessions with a named Argos principal, plus written recommendations.

Project Sprint / Prototype

Best for

Proving an idea quickly with something real to test.

Typical outcomes

  • Working prototype
  • Evaluation results
  • Pilot-ready plan

Support style

Short, focused engagement with weekly demos and a clear end point.

Full Build & Integration

Best for

Taking a validated concept into live operations.

Typical outcomes

  • Production system
  • Integrated workflows
  • Trained users

Support style

Dedicated delivery team, program management, and structured handoff.

Ongoing AI Partner

Best for

Organizations treating AI as durable capability, not a one-off project.

Typical outcomes

  • Continuous improvement
  • Model & system updates
  • Team capability growth

Support style

Long-running partnership across strategy, build, training and support.

Explore Argos

The Argos ecosystem.

Live sites across the portfolio, plus initiatives we describe at a high level until there is more to share publicly.

9 sites · swipe on mobile

Why Argos

The disciplines that usually sit in separate vendors.

AI, software engineering, biometrics, XR, operational training and commercialization — integrated on one team, accountable to one outcome.

Strategy that can become software

The team writing your roadmap is the team that can build it. Recommendations are shaped by what we know how to ship.

Prototypes built for pilots

We build to be tested in the field, not demoed once. Evaluation, integration and security are planned from the first sprint.

Training designed around the people who actually use the system

Adoption is a design problem. We train the operators, analysts and leaders on their workflows, in their language.

Support beyond launch

Systems drift, models change, operations evolve. We stay engaged so the capability keeps earning its place.

Multidisciplinary by default

AI, software engineering, biometrics, XR, data science and design sit on the same team — not in separate vendors.

Built for consequence

Much of our work touches identity, public safety and critical operations, where being careful is part of the specification.

Contact

What problem should we solve next?

Tell us what you are trying to accomplish. A senior Argos team member reads every inquiry.

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