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DEFENSE · SECURITY · INTELLIGENCE

Software That Holds The Line.

Azure AI Certified · AI-102 · AB-731Army Aviation SME on Founding TeamAzure Government Cloud · Software-Only

AI-powered software that delivers decision advantage across defense, autonomous systems, and security. Designed by operators. Built by architects.

Technical Depth Azure AI · Edge AI · SDR/RF
Operational Expertise Army Aviation SME on Team
Market Position Dual-Use · Defense & Comm.
Counter-UAS Intelligence
Autonomous System Safety
Mission Debrief AI
RF Signal Analysis
Synthetic Training Data
Computer Vision
Threat Intelligence
Defense Compliance
Edge AI · ONNX Runtime
Azure Government Cloud
Deepfake Detection
Swarm Tactics Simulation
Counter-UAS Intelligence
Autonomous System Safety
Mission Debrief AI
RF Signal Analysis
Synthetic Training Data
Computer Vision
Threat Intelligence
Defense Compliance
Edge AI · ONNX Runtime
Azure Government Cloud
Deepfake Detection
Swarm Tactics Simulation
UEI: ZPS2JR7NPMS8
SAM.gov Registered
Active Status
Microsoft Azure Certified
Bredemeyer App Architect
Intel Developer Legend
20+ Years Enterprise Architecture
$1M+ Azure Spend Managed
100% Release Success
Army Aviation SME · Founding Team
Former Secret Clearance
ISO 27001 SDLC Built
Azure Government · .azure.us
UEI: ZPS2JR7NPMS8
SAM.gov Registered
Active Status
Microsoft Azure Certified
Bredemeyer App Architect
Intel Developer Legend
20+ Years Enterprise Architecture
$1M+ Azure Spend Managed
100% Release Success
Army Aviation SME · Founding Team
Former Secret Clearance
ISO 27001 SDLC Built
Azure Government · .azure.us
The Threat Landscape

The Threat Has Outpaced The Response.

The same AI and automation technologies powering commercial software are being weaponized against the systems and operators responsible for security. Legacy solutions were not designed for this speed. Neither were the organizations that deploy them.

StrongPoint AI exists to close that gap with production-grade AI software that works in the field, integrates with real systems, and is designed by people who understand the consequences of failure.

01
Autonomous Threat Velocity
Low-cost drone platforms and swarm tactics have compressed operational decision timelines from minutes to seconds. Human-in-the-loop workflows cannot keep pace. Software must act where humans can only observe.
02
Intelligence Without Integration
Organizations generate more sensor data and mission telemetry than teams can manually process. AI that ingests, synthesizes, and surfaces actionable insight has become a baseline operational requirement, not a competitive advantage.
03
Compliance Overhead Blocks Innovation
Defense contractors spend months navigating CMMC and NIST 800-171 requirements. That overhead suppresses exactly the kind of innovation the defense industrial base most urgently needs from small businesses.
04
The Synthetic Data Deficit
Training defense AI requires labeled data at a scale and security level that commercial platforms cannot accommodate. Data scarcity remains the single largest bottleneck for autonomous system development across every service branch.
// Design Philosophy

We build what
missions depend on.

Capability Domains

Four Domains.
One Architecture.

Every capability shares a common foundation: Azure-native, cloud-first, and edge-capable. Each one maps simultaneously to a defense program priority and a direct commercial market need. Dual-use by architecture, not by afterthought.

Filter by ·
All Domains
Defense Contractor
Law Enforcement
Government Agency
Commercial
Domain 01 · Defense Priority
Autonomous Systems AI & Safety
Sub-100ms decision validation at the edge. 95%+ accuracy on trained threat classifications.
Autonomous drone formation over terrain
We develop AI software for unmanned platforms that extends autonomous capability while enforcing safety constraints. Runtime monitoring that detects and corrects faulty AI decisions before they produce unsafe outcomes. Simulation environments for swarm tactics training without hardware risk. Airspace risk intelligence for GPS-denied and communications-contested environments. Our SDR and RF signal processing expertise enables synthetic training data generation that most software-only firms cannot produce.
Runtime Assurance Swarm Simulation Human-Machine Teaming RF Synthetic Data Tactical Edge AI
Defense Applications
Leader-follower UAS formation control. Runtime safety monitoring for unmanned platforms. Autonomous decision chain logging. Multimodal synthetic training data pipelines covering RF and imagery.
Commercial Applications
Drone delivery safety monitoring. Autonomous vehicle decision validation. Industrial robotics constraint enforcement. Airspace risk intelligence APIs.
01
Domain 02 · Defense Priority
Mission Intelligence & Debrief
Briefing prep reduced from hours to under 30 minutes.
Tactical map with AI annotation overlays
AI-driven platforms that transform raw mission data into structured intelligence products. Pre-mission briefings assembled from incident history, threat profiles, and real-time feeds. After-action reports that reconstruct full decision timelines and surface where human and autonomous judgment diverged. Designed alongside military aviators.
Decision Advantage After-Action AI Decision Reconstruction
See TacticalBrief demo →
02
Domain 02 · Defense Priority
Alias — Mission Autonomy
Autonomous mission planning, execution, and decision-support for rotary-wing and multi-domain operations.
AI computer vision threat detection on camera feed
AI-powered mission autonomy platform built on open autonomy frameworks for aircrew labor reduction and in-cockpit automation. Delivers autonomous mission planning against threat and terrain models, in-flight decision-support that recommends route, altitude, and tactical adjustments, and crew-task automation that enables single-pilot operations across complex mission profiles. Designed alongside military aviators with attack, scout, and utility mission set experience.
Autonomous Mission Planning Single-Pilot Operations Multi-Domain Ops In-Flight Decision Support Open Autonomy Framework
Request Early Access →
03
Domain 03 · Dual-Use Commercial
Security & Threat Detection
CMMC compliance automation and Azure Gov cloud infrastructure
Real-time detection under 200ms on existing camera infrastructure.
Computer vision platforms for sensor fusion across camera feeds. Real-time weapon detection, behavioral analysis, and anomaly identification. OSINT intelligence monitoring public data sources, applying NLP and knowledge graphs to surface credible threats. The same AI stack runs across military, schools, and critical infrastructure.
Sensor Fusion Weapon Detection OSINT Intelligence Deepfake Detection
04
The AI Advantage

Not AI in Name.
AI at the Core.

Four specific technical capabilities that define how StrongPoint AI builds — and why the result is different from firms that apply AI as a feature rather than a foundation.

Capability 01
Agentic AI
Architecture
Modern AI systems plan, reason across multiple steps, call external tools, adapt based on intermediate results, and execute complex workflows without continuous human prompting. StrongPoint builds agentic pipelines using Azure OpenAI and Model Context Protocol (MCP) architecture. A system that can ingest a data source, identify what additional context is needed, retrieve it autonomously, synthesize across all inputs, and produce an actionable output. That is the difference between a query tool and a system that delivers real decision advantage.
Azure OpenAIMCP ArchitectureAgentic PipelinesTool Orchestration
Capability 02
Frontier Models
in Secure Environments
The most capable LLMs available run through Azure OpenAI, which is deployed on Azure Government Cloud. StrongPoint's products access the same frontier models driving the most sophisticated commercial AI applications — GPT-4-class reasoning, multimodal analysis, long-context processing — inside FedRAMP-aligned, CUI-compliant infrastructure. There is no capability sacrifice for security compliance.
GPT-4 Class ModelsAzure Gov CloudMultimodal AIFedRAMP Aligned
Capability 03
Computer Vision
Custom-Trained, Edge-Deployed
Weapon detection in a hallway. Drone classification from a standard camera feed. Behavioral analysis across simultaneous camera views. StrongPoint trains custom computer vision models for specific threat classifications using Azure AI Vision, then deploys them via ONNX Runtime for inference at the edge without cloud connectivity. Sub-200ms detection latency on standard camera hardware. No special sensors required.
Azure AI VisionONNX Edge InferenceCustom CV ModelsSub-200ms Latency
Capability 04
SDR / RF Signal
Intelligence
Software-defined radio expertise is rare at the intersection of software architecture and hardware signal processing. Our CTO brings hands-on SDR depth: real-time spectrum monitoring, FFT-based frequency analysis, RF signal classification, and synthetic RF signal generation for AI training data. This is the capability that enables multimodal synthetic data pipelines covering both imagery and electromagnetic signatures. Most defense AI companies can generate synthetic imagery. Generating synthetic RF data at the fidelity needed to train a capable signal classification model requires a different category of expertise. We have it.
SDR / Spectrum AnalysisRF Synthetic DataSignal ClassificationFFT Analysis
<8 MIN
Mission Brief Generation
Tactical Intelligence Platform
<200MS
Real-Time Threat Detection
Computer Vision Pipeline
20+
Years Azure & AI
Enterprise Architecture · Production Scale
Zero
Hardware Required
Edge-Deployable · Cloud-Native · No Inventory
Feature 5 · ComplianceForge

How Much Is CMMC
Costing You?

CMMC compliance is not optional for DoD contractors. The question is whether you pay for it with months of consulting fees or with an AI platform that delivers the same output in hours. Run the numbers.

NIST 800-171 Controls Documented 34 / 110
0 Controls 110 Controls
Company Size
Target CMMC Level
What ComplianceForge Does
AI scans your existing IT setup and documentation, maps against all 110 NIST controls, generates remediation plans for every gap, and produces audit-ready SSPs and POA&Ms. Early Access program pricing available now.
Estimated Cost Comparison
$147K
Estimated savings vs. traditional consulting
Traditional Consultant$165,000
ComplianceForge (12 mo)$18,000
Estimated Time Saved
6–8 months of compliance work
From the Field

Their Words.
Not Ours.

"
Eight months. That's how long we spent with an outside firm just completing our initial NIST gap assessment. The AI platform replicated that entire process in an afternoon and generated a draft system security plan by end of day. For a small team, that's not a nice-to-have. That's operational survival.
Sarah Kimura
VP Compliance & Regulatory Affairs
Defense Contractor, Early Access Program
"
We had cameras across every building for years and zero intelligence behind them. In the first week after deployment, the system flagged two unauthorized access attempts that would have gone completely undetected. That's when the board stopped asking questions about the cost.
Marcus Webb
Director of Safety & Security
Regional School District, Pilot Program
"
Briefing prep was taking my team two to three hours before any complex operation. We were pulling from six different systems and still ending up with gaps. We walk in with a complete picture in under thirty minutes now. That time goes back to actual coordination and preparation.
James Calloway
Tactical Operations Coordinator
Law Enforcement, Pilot Program

Early access program. Testimonials from pilot participants.

Technology Foundation

Built on the Stack
Defense
Demands.

Software-only. Cloud-native. Edge-capable. Every product shares a common architecture designed for Azure Government deployment, CUI handling, and FedRAMP alignment from day one.

Backend
.NET / C# · Azure Functions · Service Bus · Cosmos DB · REST APIs
AI / LLM
Azure OpenAI · Anthropic Claude · RAG · Fine-tuning · RLHF pipelines
Production AI
Tactical Edge
ONNX Runtime · Edge inference · Disconnected ops · Azure IoT Hub
Rare
RF / Signal
SDR · FFT analysis · Synthetic RF signal generation
Rare
Cloud
Azure Government · Bicep IaC · Azure Policy · Sentinel · Defender
FedRAMP-Aligned
Frontend
Blazor · .NET MAUI · Azure API Management
Vision
Azure AI Vision · Custom CV models · Sensor Fusion · Frigate NVR · RKNN NPU
MLOps
Azure ML · MLflow · Agentic AI · MCP · Model Evaluation
DevSecOps
GitHub Actions · Bicep IaC · CMMC-Aligned · NIST 800-171
Azure edge-to-cloud architecture visualization
Design Principles

How We Think Before We Build

01
Pure Software, No Exceptions
Every product runs on cloud infrastructure, commercial edge hardware, or existing customer systems. There is no hardware to manufacture, no inventory to manage, and no integration complexity that requires physical access. Products update continuously rather than on procurement cycles.
02
Government-Ready From Day One
Azure Government endpoint conventions, CUI boundary enforcement, audit logging, and CMMC-aligned security controls are the default architecture. Managing enterprise Azure environments at scale means we know what government cloud deployment requires in practice, not just in documentation.
03
Dual-Use by Architecture
Every capability domain serves both a defense program and a commercial market. Government engagement accelerates R&D. Commercial deployment proves sustainable market demand and builds the recurring revenue base that ensures continuity through any program cycle. Neither path is an afterthought.
04
Human-Machine Teaming by Design
A military aviator with security operations experience shapes every product before a line of code is written. The result is software where human judgment and AI capability are designed together from the start, not bolted together after the fact.
Who We Serve

Three Audiences.
One Focus.

We serve organizations where the cost of failure is measured in more than dollars. Across government agencies, commercial security operations, and the industrial base that supplies them, our products address the same underlying problem: humans need AI that acts at the speed of the threat.

Defense operations center
Sector 01
Defense & Government
Program offices, warfighter units, and government agencies integrating AI into autonomous systems, intelligence workflows, and mission operations. We build software that meets the technical, security, and compliance requirements of government deployment.
DoD autonomous systems programs
Air Force and Army AI capability development
Law enforcement tactical teams
DHS and homeland security operations
IP security camera on exterior wall
Sector 02
Critical Infrastructure & Security
Organizations responsible for protecting facilities, campuses, and populations where existing security systems lack intelligent detection and response. We integrate AI into existing camera infrastructure without hardware replacement.
School districts and campus security
Power, water, and data center operators
Event security and public venues
Houses of worship and community organizations
Defense contractor team collaborating on government proposal
Sector 03
Defense Industrial Base
Defense contractors, emerging technology companies, and organizations navigating the compliance and capability requirements of working with the government. We reduce the overhead that prevents strong technical teams from competing effectively.
Small and mid-size defense contractors
Technology companies entering defense markets
Organizations requiring CMMC compliance
Companies building on Azure Government Cloud
Why StrongPoint AI

The Strategic Edge.

01
SDR / RF — A Genuine Technical Moat
Generating realistic synthetic RF signal data for AI training is exceptionally rare in a software-only firm. Most AI development shops can produce synthetic imagery. Producing synthetic RF data at the fidelity required to train a capable signal classification model requires hands-on signal processing expertise. We have it. Combined with computer vision and IoT sensor depth, we produce the full multimodal synthetic data pipelines that defense programs need and cannot source elsewhere at this price point.
Rare Capability
02
Operator Credibility Where It Counts
A former Army helicopter pilot with security and extraction operations experience shapes every product before a line of code is written. This is not a marketing credential. It is what makes the operational sections of our work hold up under scrutiny from evaluators who have done the mission themselves. Most software-focused defense companies fail at exactly this point. We don't, because the operator is in the room at the beginning, not brought in at the end to review a demo.
Military Operator on Team
03
Enterprise Delivery. Proven.
Our technical leadership has delivered multiple production SaaS platforms to real paying customers, complete with commercial billing, enterprise Azure cloud deployment, IaC-managed infrastructure, and automated CI/CD pipelines. That delivery standard is measured in customer outcomes, not internal milestones or academic prototypes. Managing over $1 million in annual Azure spend across a production enterprise environment is a different category from building a research system.
Proven at Enterprise Scale
04
Dual-Use Strengthens Both Paths
Every product serves a defense program and a commercial market simultaneously. The same AI models, cloud infrastructure, and security posture apply to both. Government engagement accelerates R&D and builds the IP. Commercial deployment proves sustainable market demand and generates the recurring revenue that ensures continuity through any program cycle. Defense evaluators look for this.
Dual-Use by Design
See the Advantages in Action Schedule a 30-minute live demonstration tailored to your domain or program requirements.
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Built on Enterprise-Grade Technology

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Azure Government Cloud
Azure AI Engineer Certified
Azure AI Applied Skills
.NET 9
SAM.gov Registered
Active Status

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