إدارة الحالات المحلية & نظام الاندماج التكتيكي
للتحقيقات الاستخباراتية .
الاندماج التكتيكي المحلي
قم بتحويل مجموعات البيانات المعقدة إلى رؤى قابلة للتنفيذ باستخدام السحب والإفلات المحلي
عملية
قم بسحب وإفلات ملفات القضية في Inteliate، باستخدام جهاز كمبيوتر محلي.
يقوم الذكاء الاصطناعي بربط الحالة بقواعد البيانات التي قمت بسحبها وإفلاتها
اطرح الأسئلة أو قم بأتمتة التقرير بنقرة واحدة.
احصل على نصائح منهجية ورؤى حول الحالات
قم بسحب وإفلات ملفات القضية في Inteliate، باستخدام جهاز كمبيوتر محلي.
يقوم الذكاء الاصطناعي بربط الحالة بقواعد البيانات التي قمت بسحبها وإفلاتها
اطرح الأسئلة أو قم بأتمتة التقرير بنقرة واحدة.
احصل على نصائح منهجية ورؤى حول الحالات
Past Example Projects & Existing Models
These are pre-built, battle-tested AI models we've developed for real-world deployments. Each model is ready to be quickly adapted and fine-tuned for your use case, saving you time and cost while delivering proven performance.
AI-Powered Document Verification
Automates eligibility checks and compliance reviews in seconds.
Developed for public sector and academic programs, this model verifies uploaded documents (e.g., ID, financial records, applications) against defined eligibility rules. It flags missing information, invalid formats, and other errors—and highlights them inside the original PDF. Rule templates and logic can be adapted instantly.
Key Features
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80% rule engine + 20% machine learning for edge cases
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Visual annotation of errors (e.g., missing signature)
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Handles PDFs, scans, and photos
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Role-based access (reviewer, admin, applicant)
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Full audit logging for compliance
AI-Powered Database Ingestion & Fusion
Plug-and-play ingestion engine for high-volume structured data.
This modular AI tool ingests and harmonizes large datasets from disparate sources (e.g., Excel sheets, government APIs, SQL dumps, internal registries). It automatically deduplicates, cleans, and aligns schema mismatches—making it ideal for intelligence, compliance, and investigative use cases. It’s already in use for financial crime, border screening, and procurement audits.
Key Features
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Accepts structured data from CSV, SQL, APIs, and spreadsheets
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Automatic deduplication, schema mapping, and normalization
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Entity resolution and fuzzy linking across data sources
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Modular logic that supports industry-specific templates (e.g., customs, banking)
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Dashboards and alerts for ingestion errors or anomalies
AI-Powered Case Management for Law Enforcement
Field-tested intelligence system for investigators, ready to deploy.
Built for national law enforcement and intelligence agencies, this case management platform uses AI to fuse structured and unstructured data from multiple sources—automatically linking people, locations, events, and evidence. It enables investigators to visualize connections, generate reports, and collaborate across agencies in real time. Already operational in high-stakes environments with minimal training required.
Key Features
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Drag-and-drop data fusion from files, databases, and APIs
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Entity extraction and auto-linking of cases and persons of interest
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Timeline, network graph, and location visualizations
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One-click case reports and exportable dossiers
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Role-based access control with full audit trails
Brainwave-Based Lie Detection
Originally developed for security screening and high-stakes interviews, this AI model analyzes brainwave activity in real time to detect deception without the need for voice analysis or traditional polygraphs. The system has been successfully deployed in multiple interview and border control scenarios, and can be customized to match your protocols and population. It uses EEG-based signal patterns associated with memory recall, stress, and conflict — allowing interviewers to focus on the most sensitive moments of questioning.
Key Features
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AI-powered EEG interpretation for deception cues
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Works in real time during screenings or interviews
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No voice or behavior input required
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Deployable with portable or fixed EEG headsets
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Customizable thresholds for different screening contexts
X-Ray Threat Detection
AI for automated analysis of security X-rays — fast and accurate.
Used in airport and customs pilots, this model identifies weapons, explosives, and contraband in X-ray images. It’s trained on labeled datasets of threats and clears benign items instantly. Reduces operator fatigue and false positives in high-throughput environments.
Key Features
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Detects firearms, knives, explosives, and concealment
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Works with standard X-ray formats and machines
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High-resolution overlays show flagged zones
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Supports baggage, parcel, cargo, and freight screening
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Edge-deployable or cloud-hosted
CCTV Behavioral Anomaly Detection
Pre-built model designed for live CCTV feeds, customizable per location
This AI system detects abnormal, suspicious, or dangerous behavior on live video feeds. Trained on real-world CCTV data, it learns what’s “normal” at each site—then flags anomalies like loitering, fights, or erratic motion. Perfect for retail, city surveillance, and secure sites where operators can’t monitor every feed.
Key Features
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Learns per-location behavioral norms
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Alerts on loitering, aggression, break-ins, and more
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Works with standard CCTV systems (e.g., Hikvision)
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Manual override and validation loop
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Scalable across small or national deployments
CCTV Facial Recognition
Real-time face-matching system built for law enforcement-grade deployment
Built for government clients, this facial recognition engine matches live CCTV captures with a law enforcement mugshot database. It’s fast, accurate, and integrates with existing surveillance systems. Trained for diverse lighting conditions and ethnicities, it’s ready to be fine-tuned for your database and security policies.
Key Features
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Real-time face detection and matching
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Supports live alerts via dashboard
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Integrates with daily-updated mugshot lists
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Accuracy tuning available for specific false-positive targets
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Designed for deployment in airports, city grids, or private compounds
CCTV Footage - textual Search
Pre-built model designed for live CCTV feeds, customizable per location
This pre-trained model lets operators search days or weeks of CCTV footage by typing natural-language queries like “man in blue jacket near red car.” It uses vision-language embeddings to index archived footage semantically. Proven in investigation teams where time and clarity matter.
Key Features
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Search by text: “red bike near the north gate”
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Returns timestamps, clips, and still frames
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30+ day retention supported
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GUI-based query input for non-technical users
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Compound queries supported (AND, OR)
Smart Building or City Energy Optimization
Predictive AI to cut costs and improve energy efficiency.
Originally built for corporate buildings, this model forecasts energy demand and optimizes HVAC, lighting, and electricity usage based on weather, occupancy, and behavioural patterns. It adapts over time and connects to building management systems.
Key Features
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Predictive models trained on time-series usage data
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Real-time control of HVAC, lighting, and energy loads
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Integrates with BMS and smart meters
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Occupancy-aware energy savings
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CO₂ reduction insights for ESG compliance
Mass Media Monitoring
Converts audio & video streams into real-time threat intelligence\
This AI platform monitors radio, TV, and online voice sources, turning them into searchable transcripts and flagging radical content, misinformation, and narrative shifts. It’s built for national security and influence-tracking use cases—and can function fully offline if required.
Key Features
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Flags sentiment, emotional stress, radical cues
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Detects coordinated influence across media
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Real-time alerting and keyword tracking
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Sovereign or edge-device deployment options
Traffic Light Optimization AI
Live data model that reduces urban congestion and emissions.
This system uses real-time traffic data (e.g., Google Maps, Waze) to dynamically adjust traffic light patterns and reduce bottlenecks. Already deployed in multiple testbeds, it has cut travel times by up to 25% and CO₂ emissions by over 10%.
Key Features
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Real-time integration with traffic APIs and sensors
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Dynamic signal cycle adjustment
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Emergency vehicle priority routing
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City-wide or per-intersection deployment
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Operator dashboard and override tools
Border Risk Scoring AI
Proven system that mimics human intuition to flag risky travelers.
This model assesses traveler risk in real-time based on watchlists, behavioral history, movement patterns, and travel documents. Inspired by how experienced border agents flag anomalies, it improves over time using a feedback loop. Designed to reduce false positives while speeding up screening lines.
Key Features
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Combines data points: travel history, documents, watchlists
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Learns from border agent decisions
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Real-time scoring and alerts
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Works offline or integrated with national APIs
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Customizable per country and policy