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Precision in the Unknown.
Wild Hunter Technologies is an independent advanced-engineering company exploring autonomous aerospace systems for demanding and uncertain operating environments. We work from first principles: simplify the architecture, validate the assumptions, and design safety into the system from the beginning.
Systems thinking / high-integrity engineering / responsible autonomy
Philosophy & Mission →A research platform for exploring long-endurance autonomy, robust navigation, modular airframe architecture, remote inspection, environmental monitoring, and search-and-rescue mission concepts.
This Open-Source Intelligence (OSINT) module serves as a conceptual software engine within the LAHAV CommandOS architecture. Its proposed design ingests unstructured public information and synthesizes it into structured intelligence records, connected evidence, and contextual threat profiles for access-controlled analyst review.
The proposed intelligence pipeline follows a sequential, five-stage journey: initial data ingestion, metadata extraction at the edge, centralized cloud processing, human-in-the-loop analyst review, and an analyst-validated, source-linked evidence brief. The architecture maps the edge and processing roles across the LAHAV family, with LAHAV CommandNode supporting source context and local analysis.
Proposed capabilities / select to explore
Systematic ingestion and baseline analysis of publicly available data streams.
A proposed cryptographic provenance layer would link intelligence outputs to their original source data. Chain of custody additionally requires documented collection, handling, transfers, and integrity checks; implementation and validation remain pending.
Structure raw, multi-source public data into connected analytical context, retaining source confidence, conflicting observations, and uncertainty.
Keep human judgment as the final validation step before an evidence brief is finalized for authorized research review.
Capture & organize information
Metadata extraction
Source references & context
Evidence / context
Uncertainty / limitations
Awaiting research records
Follow public information through connected analysis, human judgment, and a source-linked evidence brief.
Ingest public reports, open imagery, public datasets, and sensor metadata.
Capture incoming information while retaining the original source context.
Organized source records ready for metadata extraction and analysis.
Extract source references, timestamps, and contextual fields.
Keep each observation connected to its origin and surrounding context.
Context-rich records prepared for the next processing stage.
Normalize & Validate; Fusion & Deduplication; Cross-source Correlation; Draft Evidence Brief.
Connect related observations while preserving original references, timestamps, and uncertainty.
A draft Evidence Brief prepared for human review.
An analyst reviews the evidence, context, source quality, and uncertainty.
Retain human judgment, including the ability to revise, reject, or request further evidence.
A review record documenting findings, limitations, and open questions. This animation illustrates the review stage; it performs no real approval.
Produce a finalized, source-linked Evidence Brief.
Present reviewed findings with supporting sources and an explicit account of uncertainty.
A reviewable research result linked to its evidence and review history.
The visual concept does not provide sufficient technical data to assess isolated research deployments or demonstrate hardware and firmware isolation during processing. Integration and security assurance remain open engineering questions.
Trust boundaries & validation evidence
Document supported hardware and firmware baselines, protected workload boundaries, secure boot and attestation evidence, and administrator privileges.
Authorized interfaces & traceable handling
Specify source provenance, integrity verification, approved evidence-transfer interfaces, access controls, key management, and tamper-evident audit records.
Offline / cloud boundary. State whether each deployment is offline, intermittently connected, or networked. A genuinely air-gapped deployment needs a separately documented, approved transfer workflow; live cloud connectivity cannot be assumed.
The supplied material establishes a conceptual workflow, rather than a validated deployment or security architecture. A zero-trust design must define identity, authorization, resource protection, and validation criteria. Isolation or network location alone does not establish trust.
Cryptographic provenance and a documented handling history are proposed evidence requirements. They do not by themselves establish the accuracy of a source or verify an intelligence conclusion. No implementation evidence or security test results were supplied for these capabilities.
NIST SP 800-207 / Zero Trust ↗NIST SP 800-86 / Evidence handling ↗
These references inform the documentation requirements; they do not represent certification or a finding of LAHAV compliance.
Source preservation and research analysis require defined retention, retrieval, and validation criteria. The concept does not establish measured performance for these capabilities.
Retain original source material and context so research findings remain traceable.
Support timely review of connected observations, research records, and findings.
Evidence continuity. Source context and review history remain linked to each evidence brief.
The proposed five-stage workflow is conceptual. Its performance, deployment readiness, and acceptance criteria remain subject to engineering validation.
Open decisions include expected data volumes, retention periods, review requirements, and evaluation criteria.
Closed-network edge computing, hardware-isolation research, AI-assisted decision support, and resilient coordination.
A proposed local computing platform within the LAHAV family, bringing evidence processing, simulation, and human review closer to the research environment.
Research & development / concept
A proposed local AI research configuration based on NVIDIA DGX Spark and the GB10 Grace Blackwell architecture. Closed-network operation, internet isolation, and approved offline evidence transfer require validation for each deployment.
Hardware reference ↗Evaluate protected analytical workloads, controlled access, and firmware integrity verification. Security assurances depend on supported hardware, firmware, a defined threat model, and independent validation.
A proposed Decision Support UI presents evidence, uncertainty, and resource considerations for analyst assessment. Human review remains the final validation step for research findings.
Explore distributed coordination for unarmed inspection, monitoring, and search-and-rescue research. Focus on simulation, observability, and predictable fallback behavior before field validation.
Concept overview. No validated field performance, security certification, or compatibility with a particular confidential-computing mechanism is claimed.
Discuss LAHAV CommandNodeMission-state management, onboard decision logic, health monitoring, and predictable fallback behavior.
Sensor fusion, navigation integrity, degraded-mode operation, and position-confidence management.
Aerodynamic efficiency, manufacturability, modular packaging, maintainability, and environmental durability.
Simulation, requirement traceability, test planning, failure-mode analysis, and evidence-driven iteration.
“Precision is not the absence of uncertainty. It is the ability to operate responsibly inside it.”
Explore the LAHAV concepts and the engineering principles behind our research.
Discuss your research use case and explore the LAHAV family with Wild Hunter Technologies.