CONTACT / INTAKE

Bring Us the Problem

If your challenge involves infrastructure, data, or operational decision-making — especially where datasets are incomplete, noisy, or undefined — we can help design the capture, AI, and delivery system to solve it.

AGM Groups works with public agencies and private organizations on problems that don’t fit off-the-shelf tools. This short intake helps route your inquiry to the appropriate technical lead.

SECTION 1 — ABOUT YOU

Organization / Agency Name *Required

Sector *Required

Your Role / Title (Optional)

Business Email Address *Enter a valid email

SECTION 2 — THE PROBLEM

Describe the problem you’re trying to solve *Please provide at least ~20 characters

Describe the operational, analytical, or infrastructure challenge in your own words. It’s okay if the scope is still forming or the data does not yet exist.

SECTION 3 — CONSTRAINTS & CONTEXT

SECTION 4 — SCOPE SIGNALS (OPTIONAL)

Geography / Region (Optional)

Indicative Timeline (Optional)

Data & Model Boundaries

Information submitted through this form is treated as confidential. Client data is not used to train shared models unless explicitly agreed in writing.

Required: organization, sector, valid email, and a short problem description.

Note: Deployment options are available to meet agency compliance requirements.

CAREERS / INTRODUCTION

Introduce Yourself

Tell us about your interests, experience, and the kinds of problems you enjoy solving. We welcome introductions from people interested in practical infrastructure innovation.

SECTION 1 — ABOUT YOU

Full Name *Required

Email Address *Enter a valid email

Phone Number (Optional)

Current Location (Optional)

Availability (Optional)

LinkedIn Profile (Optional)

Portfolio / GitHub / Personal Website (Optional)

SECTION 2 — AREA OF INTEREST

Primary Area of Interest *Required

Preferred Collaboration Type *Required

SECTION 3 — INTRODUCTION

Tell Us About Yourself *Please provide at least ~40 characters

Describe your background, interests, and how you could contribute.

What Kind of Problems Do You Enjoy Solving? (Optional)

SECTION 4 — DOCUMENTS

Resume / CV *Resume / CV is required

Choose a file

PDF, DOC, or DOCX • maximum 10 MB

Cover Letter or Statement of Purpose (Optional)

Choose a file

PDF, DOC, or DOCX • maximum 10 MB

Optional Supporting Document (Optional)

Choose a file

PDF, DOC, or DOCX • maximum 10 MB

Accepted formats: PDF, DOC, DOCX. Maximum size: 10 MB per file.

Applicant Privacy

Applicant information is reviewed only for recruitment and collaboration purposes. Documents are not shared outside the authorized AGM review process.

AGM Groups evaluates introductions as collaboration needs evolve.

AGM Groups applied AI and operations background

Applied AI • Sensing • Analytics • Decision Systems

Applied AI for Real-World Operations.

AGM Groups builds sensing, analytics, and decision-support systems for infrastructure, assets, and field operations.

Explore capabilities Start a conversation

Capabilities

AI systems built around real operational data.

AGM Groups helps organizations turn field evidence, asset records, geospatial context, and operational workflows into usable AI-enabled systems. We focus on practical deployment: reliable data capture, traceable analytics, quality review, and decision-ready outputs.

Applied AI field operations and decision intelligence visual

Sense → Analyze → Deliver

Sensing & Data Capture

We design field-ready workflows for collecting and organizing operational data from physical environments.

Vehicle, camera, drone, and sensor-based capture
Geospatial referencing and time synchronization
Coverage, calibration, and quality-control checks

AI Analytics & Review

We convert complex data into structured information using AI-assisted detection, classification, measurement, and review workflows.

Computer vision and machine-learning workflows
Condition, anomaly, and risk indicators
Human-in-the-loop validation and traceability

Decision Systems & Delivery

We package validated intelligence into dashboards, reports, exports, and workflows that support real decisions.

Operational dashboards and geospatial views
System-ready data products and technical exports
Evidence records, audit trails, and delivery packages

Delivery Model

From operational problem to deployable system.

We start with the client’s workflow, constraints, and decisions. Then we build a practical path from data to validated outputs, keeping each step scoped, reviewable, and ready to scale.

Step 01

Define

Translate the operational challenge into scope, success criteria, and deployment priorities.

Use-case and workflow mapping
Data and system requirements
Pilot scope and success metrics

Step 02

Integrate

Bring together field data, records, sensors, geospatial context, and client systems.

Multi-source data acquisition
Geospatial and sensor alignment
Structured data organization

Step 03

Validate

Apply AI-assisted analytics with human review, evidence links, and quality controls.

Automated and expert review
Quality-control checkpoints
Evidence-linked outputs

Step 04

Deliver

Package results into dashboards, reports, APIs, exports, or operational tools.

Decision-support interfaces
System-ready exports
Scale-up roadmap

Trust by Design

Built for controlled pilots, client data boundaries, and audit-ready delivery.

Project-scoped access

Data is isolated per client and per project by default.

Least-privilege controls

Access is controlled and role-aligned for client workflows.

Audit-friendly delivery

Evidence packages and final outputs are archived for reporting.

Model & data boundaries

Client data is not used to train shared models unless explicitly agreed in writing.

Platform Snapshot

A workspace for field evidence, AI review, and operational delivery.

AGM packages each engagement into a practical operating layer: project data, geospatial context, AI-assisted review, quality status, evidence records, and decision-ready outputs in one controlled workflow.

Project-scoped workspaces for active pilots and delivery packages

GIS, imagery, sensor records, QC status, and exports connected by project

Traceable evidence designed for technical teams, managers, and client review

Request a Walkthrough Client Portal

Results view

Case Studies

From field capture to client-ready intelligence.

AGM connects Sentinel, Insight, and the Client Portal into a repeatable pipeline for field evidence, QC, PCI reporting, project control, and client delivery.

AGM Software Workflow

Sentinel → Insight → Client Portal

Field EvidenceQC WorkspacePCIProject ControlClient Delivery

Sentinel

Field Capture Layer

Raw project package

Sentinel field capture and pavement evidence visual

Synchronized field evidence

Imagery, 360 context, positioning context, and field records packaged for processing.

Pavement imagery360 ROWField records

Insight

AI + QC Workspace

In review

Evidence review

AI annotation + manual QC

Processing outputs

AnnotationsLCMS distress dataPAVER-readyLCCA planning

PCI Distribution

Good18%

Satisfactory26%

Fair24%

Poor16%

Very Poor8%

Serious5%

Failed3%

Client Portal

Project Control + High-Level QC

Client delivery

Client Portal map and corridor condition visual

Map view

Condition-coded corridor

Project progress

72%

Complete

Client outputs

Project Control BoardReady

High-level QCReview

Reports + exportsPrepared

Good

Sat.

Fair

Poor

V. Poor

Serious

Failed

AGM Explained

Built for problems that do not come pre-packaged.

AGM builds applied AI systems around the real workflow: the physical environment, the available evidence, the review process, and the decisions clients need to make.

Problem

Operational challenge, workflow constraints, and decision needs.

Evidence

Field records, imagery, maps, assets, and existing client data.

Intelligence

AI-assisted analysis, engineering logic, review, and validation.

Action

Dashboards, reports, exports, project control, and planning outputs.

Operating Layer

Evidence-first

Every output is connected back to reviewable source context.

Human-in-the-loop

AI-assisted workflows remain inspectable and controllable.

Deployment-minded

Solutions are designed around real client use, not demo-only prototypes.

System Architecture

From fragmented data to operational decisions

Applied AI

Capture

Validate

Deliver

Careers

Build systems that improve real-world infrastructure decisions.

AGM is building a small multidisciplinary team across field systems, data, applied AI, software, and client delivery.

Field operatorsGIS / data specialistsAI / CV reviewersSoftware buildersDelivery leads

Talent Network

Where we expect to grow

Early introductions welcome

Field Systems & Operations

For people who can support capture setup, field data collection, equipment checks, route coverage, and field QA.

Field data collectionCapture setupField QAOperations support

Data, GIS & Applied AI

For people who can work with geospatial data, pavement evidence, annotation workflows, computer vision, and QA/QC review.

GIS / dataCV / MLAnnotationPython workflows

Software, Product & Delivery

For people who can build dashboards, client portals, reporting tools, documentation, and deployment-ready workflows.

Frontend / backendDashboardsClient workflowsDocumentation

Not a formal posting yet

We welcome introductions from engineers, developers, analysts, field specialists, and delivery professionals who want to help build practical infrastructure intelligence systems.

Newsroom & Insights

Public signals from AGM Groups.

Selected perspectives, technical notes, and public updates from AGM Groups as our infrastructure-intelligence platform evolves.

Select an insight

Choose a perspective from the left.

Start a conversation

Bring us a real operational problem.

For infrastructure-intelligence pilots, technical discovery, partnerships, or private platform walkthroughs, start with a focused intake.

Email AGM

Washington, DC

AGM Groups, LLC
1140 3rd St NE, Suite 200
Washington, DC 20002

Office

Washington, DC