Continuous Intelligence Engine

DeepSenseIQ

Edge-first AI for continuous multi-sensor data ingestion. Operates fully offline and delivers evidence-based threat detection at operational scale.

Edge AI processingOffline operationMulti-sensor fusionEvidence-based alerts

Core Architecture

A four-stage pipeline applied to every route, whether data arrives as a file drop or a continuous live feed.

Continuous, Multi-Route Intake

File-based collections (documents, images, audio, video, archives) and continuous live camera or sensor feeds are both loaded into a controlled landing zone rather than opened directly.

Threat Screening & Sandboxing

Files are scanned for malware indicators, suspicious scripts, macros, executables, embedded objects, archive risks, and file-type mismatches. Live feeds are screened for integrity and anomalous signal.

AI Enrichment

Extracts text, metadata, entities, keywords, topics, transcripts, and image findings, converting both file collections and live-feed segments into structured, searchable information.

Search, Query & Reporting

Analysts search across file-based and live-feed-derived data together, ask natural-language questions, inspect source-backed evidence, and generate reports.

Government & Defense

Offline edge intelligence for untrusted field data. No cloud required.

DeepSenseIQ provides offline edge intelligence and data triage for untrusted data collected in the field. Field and intelligence teams regularly receive file drops from thumb drives, captured devices, and field transfers, alongside continuous live feeds, often in secure or disconnected environments. The challenge is answering three questions quickly and safely: what is this data, what does it mean, and is it safe to use.

Field Data Triage

Screening data from thumb drives, captured devices, and field transfers

Converting raw collections into structured, searchable information

Quarantine and review workflow for flagged files

Continuous Feed Triage

Ingesting live camera and sensor feeds at a forward site alongside file collections

Flagging feed anomalies or gaps for review without continuous monitoring

Disconnected Operations

Full intake, screening, enrichment, and search without internet connectivity

Local evidence store and local audit logs

CodeIQ dual-use: rapid vulnerability mapping in adversarial or captured code

Sample Finding

QuarantinedField Collection 12, File 0447

Extension mismatch detected: file declared as .docx but binary signature indicates an executable.

Recommended: Analyst should review in sandbox before release to enrichment.

Deployment Tiers

Field / single device

Laptop or ruggedized workstation, fully local processing

Team or program

GPU-enabled edge kit for larger or more frequent collections

Air-gapped enclave

Fully disconnected deployment with local UI, models, search index, and audit logs

Critical Infrastructure & Utilities

Local triage for field-collected and live-feed data at remote and unmanned sites.

DeepSenseIQ processes data locally at a remote site, whether a field transfer or a live feed, before it enters the utility's broader systems. Paired with VellumGuard for secure transport between nodes and VisualIQ for camera-based monitoring of the same sites, it answers what the data is, what it means, and whether it is safe to bring into the network.

Field Crew Data Intake

Screening inspection photos, videos, and reports collected on site

Converting raw field collections into structured, searchable records

Remote Site Operations

Local processing at sites with intermittent or no connectivity

Syncing cleared data and findings to central systems when connectivity resumes

Drone and inspection imagery structuring for engineering review

Secure Handoff

Screening vendor and firmware update files before deployment to field equipment

Pairing with VellumGuard for secure node-to-node transport of cleared data

Sample Finding

FlaggedSubstation 7 Firmware Update

Embedded script detected in update package, inconsistent with standard firmware update structure.

Recommended: IT security review before deployment to field equipment.

Deployment Tiers

Field technician device

Laptop or ruggedized device, local processing at the point of collection

Single remote site

GPU-enabled edge kit for ongoing inspection and maintenance data

Multi-site / regional

Aggregated edge deployment with secure sync to central systems via VellumGuard

Manufacturing

Beyond camera feeds: triage every route data enters the plant.

DeepSenseIQ extends beyond VisualIQ's camera-based security and operational intelligence to triage every route data enters the plant: supplier file drops, engineering transfers, maintenance archives, quality documentation, and IoT or sensor exports, alongside live plant-floor feeds. Especially valuable where third-party supplier or vendor files introduce supply-chain risk.

Supplier & Vendor Intake

Screening incoming supplier files before they enter plant systems

Flagging file-type mismatches and embedded risks in vendor data

Plant-Floor Feed Triage

Ingesting live plant-floor camera feeds alongside file-based supplier and engineering data

Structuring feed-derived findings into the same searchable index as document data

Engineering & Maintenance Docs

Structuring engineering transfers and maintenance records for search

Natural-language queries across plant-floor data, live or file-based

Sample Finding

QuarantinedSupplier Data Drop 22

Embedded executable detected in a file declared as a specification document.

Recommended: Supply-chain security review before release to engineering systems.

Deployment Tiers

Single vendor intake

Local workstation, processing at the point of intake

Single line / plant

GPU-enabled workstation or edge kit for ongoing documentation volume

Multi-plant

Aggregated deployment with centralized reporting across facilities

Responsible AI

Screens and enriches data, no automated intelligence assessments

Human review required before any flagged file is released

Local processing keeps untrusted data off the cloud

Retention follows the program's existing records policy

FAQ

Deploy DeepSenseIQ at the edge

No cloud required. Fully local processing from field device to air-gapped enclave.