Mission Advantage

Predict Decisions. Design Intelligence.

AI/ML and analytics engineered for high-stakes missions, transforming fragmented data into foresight, trust, and operational clarity at scale.

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Data-Driven Awareness

AI, ML, and Analytics Built for Decision Velocity and Mission Scale.

Operational AI/ML for Critical Missions

Modernizing legacy systems requires more than analytics dashboards. We embed AI/ML directly into the operational loop while respecting human-in-the-loop safety and regulatory constraints.

Real-Time Analytics and Sensor Fusion

We develop edge-deployed ML models that ingest arbitrary data—powering low-latency insights even in comms-degraded or disconnected environments.

Federated Data Platforms

We develop modular, cloud-agnostic data architectures that unify structured and unstructured inputs across systems, facilities, and agencies.

Responsible and Explainable AI

We align with priorities on model governance, fairness, and auditability embedding explainability tooling, human-centric interfaces, and continuous model validation.

Service Stack

AI/ML and Analytics Services at a Glance

We engineer analytics capabilities for high-stakes, data-rich federal missions. Our service stack supports agencies modernizing legacy systems, integrating new sensing layers, and transitioning from descriptive reporting to intelligent, real-time decision support.

Data Engineering & Sensor Fusion

Ingest, validate, and harmonize data across structured and unstructured formats supporting real-time and batch analytics pipelines that underpin situational awareness.

AI/ML Model Development & Optimization

Supervised, unsupervised, and reinforcement learning models tailored to safety-critical use cases ranging from trajectory prediction and risk scoring to surface movement insights and resource forecasting.

MLOps & AI DevSecOps

CI/CD pipelines, versioning, testing harnesses, and rollback logic for model code and data aligned with NIST AI RMF and DevSecOps patterns for safe, repeatable ML deployment.

Real-Time Forecasting & Decision Support

LSTM and transformer-based time-series models for demand forecasting, delay prediction, and anomaly detection integrated into ops dashboards and mission displays.

Voice, Text, and NLP Analytics

Text and voice processing for incident reports, operational comms, and logs extracting patterns, classifying risk, and enabling structured analysis of freeform inputs.

Digital Twin & Simulation Environments

Synthetic data generation, counterfactual testing, and operational simulation environments accelerating model validation and infrastructure transition readiness.

Mission-Centric Dashboards & Visualizations

Intuitive front-end dashboards and planning tools that integrate live model outputs designed with mission UX, accessibility, and safety-critical clarity in mind.

Cross-System Data Governance

Federated data catalogs, lineage mapping, and access policies across facilities, clouds, and partner systems, supporting secure analytics in federated or multi-agency contexts.

Model Risk & Drift Monitoring

Real-time model performance scoring, drift detection, and anomaly logging with configurable alerts, ensuring analytics remain valid, reliable, and auditable throughout their lifecycle.

Interoperability & Legacy Integration

Adapters and protocol bridges that connect AI workflows to legacy systems or custom COTS, enabling gradual modernization without disruption.

Emerging Solutions

AI at the Edge and On the Move

We integrate edge-AI solutions that are architected and deployed with AI/ML models optimized for real-time execution in constrained environments. Whether onboard a drone, mounted on a mobile platform, or embedded within an edge sensor, these solutions operate autonomously, adapt dynamically, and deliver mission-relevant insights even in complex, degraded, or disconnected conditions.

Low-Latency Inference at the Edge

Compact, quantized models optimized to run on GPUs, TPUs, or NPUs with sub-nanosecond decision speeds.

Multi-Modal Sensor Fusion

Real-time integration of video, RF, acoustic, and telemetry streams into unified inference pipelines.

Onboard Target Detection and Classification

CV models detect, track, and classify objects using edge compute on UAS, towers, or mobile sensors.

Disconnection-Tolerant Intelligence

No uplink required. AI decisions are made locally and cached for later sync, enabling ops in GPS- and communications-denied environments.

Tech Stack

Core Models for Conversational AI and GPT Agents

We architect AI solutions using a modular, interoperable stack that blends industry-leading foundation models, orchestration frameworks, and secure deployment tools.

Quick-Turn

Accelerators You Can Deploy in 90 Days

Modular AI/ML accelerator toolchains rapidly developed to solve urgent pain points fast. These capabilities can be up and running in weeks, not years.

Pre-built Modules

Drop-in agents with generic models and common functions.

Fine-Tuned GPTs

Trained on org-specific corpora with security guardrails and domain adaptation.

On-Premise LLMs

Open-source LLMs like LLaMA, Mistral, or GPT-J deployed behind firewall.

Multi-Agent Orchestration

Design of agents that work together — planner/executor/monitor — for complex task execution.

Domain-Tuned GPT

Custom GPT Agents

Secure GPT-4/3.5 agents trained on regulations, operations SOPs, acquisition policy, or internal data repositories.

Time to Initial Release

30 days

Best Fit

Policy support, mission queries, regulated workflows

High Customization Level

Fine-tuned or RAG-enabled

Operations Support

Mission Copilots

Role-based AI copilots embedded into dashboards, supporting real-time data lookup, document generation, and SOP navigation.

Time to Initial Release

45 days

Best Fit

Operations centers

Medium Customization Level

Agent behavior configurable

Tier-1 Relief

Helpdesk AI Bots

Natural language bots that auto-resolve account access issues, common questions, and workflow tasks with full auditability.

Time to Initial Release

45 days

Best Fit

Shared service centers, IT helpdesks, HR portals

Low Customization Level

Form and intent matching

Data at Speed

Knowledge Base Interrogators

LLM-backed agents that pull answers from structured and unstructured data (PDFs, SharePoint, transcripts) using secure retrieval techniques.

Time to Initial Release

30 days

Best Fit

Complex documentation environments

High Customization Level

Integrates custom embeddings

Analyst Accelerator

Intel Copilot

NLP-powered assistant for summarizing reports, flagging threats, and recommending actions in high-volume analyst workflows.

Time to Initial Release

45 days

Best Fit

Cyber intel, UAS monitoring, threat operations

High Customization Level

Tuned on domain-specific intelligence

Voice-First UX

Speech-to-Action Agents

Field speech interfaces that convert voice into task execution—ideal for technicians, inspectors, or hands-free scenarios.

Time to Initial Release

60 days

Best Fit

Mobile operations, inspections, remote workforces

Medium Customization Level

Supports custom commands

Governance at Scale

Internal Compliance

AI agents that scan code, docs, or project plans for risk language, non-compliance, or control misalignments—GPT meets RMF.

Time to Initial Release

45 days

Best Fit

PMO workflows, documentation-heavy programs

Medium Customization Level

Rule sets configurable

Capabilities

Forward Looking Analytical Intelligence

We advance the state of applied AI to meet the demands of mission-critical environments. From predictive operations to AI-augmented decision support, these are not off-the-shelf models but mission-aligned concepts we are actively building to close the gap between data overload and operational foresight.

Forecast before the fault line shifts.

Mission-Integrated Ops Predictor

We fuse sensor, schedule, weather, and behavioral data into predictive engines that forecast disruption scenarios across domains before they materialize. Our models continuously update as new telemetry arrives, enabling preemptive planning and response.

Incident prevention ↑25–40% reduction in unplanned operational disruptions across systems
Early warning lead time ↑+3–7 hours for anomaly detection and predictive deviation alerts
Planning agility ↑30–45% improvement in ability to reshuffle ops priorities on the fly
Prediction horizonRolling 24–72 hours

Outcome

Preemptive action instead of reactive firefighting.

Outcomes Don't Wait

Ready to Move Forward?

Whether you're standing up a new initiative or accelerating one midstream, our team is ready to deploy proven methods, tailor modern tools, and integrate seamlessly with your workflows.

Let’s start with a working session. Focused, actionable, and aligned to your priorities.

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