Capabilities
Research-led.
The platform sits on hands-on security research and a set of disciplines we practice directly.
Cybersecurity for AI
AI/ML security research
Structured security research on AI/ML frameworks and infrastructure. Multi-phase methodology from scoping through validation and reporting. CWE/CVSS-classified findings with remediation guidance.
Active responsible disclosure program with confirmed findings across multiple production AI/ML projects, including critical-severity issues.
AI supply chain security
Security assessment of model formats, inference runtimes, and ML pipeline infrastructure. Parser logic, serialization, operator implementations, authentication boundaries.
A bug in a model format parser hits every application that loads that format.
AI assurance and red-teaming
We red-team the AI systems an organization deploys, not just the model in isolation. Agents, prompts, RAG, tools, and the model are tested together for the emergent unsafe behavior that only appears in a shipped product.
Independent judges validate every finding, turning safety and compliance into governance-ready evidence.
Knowledge & data intelligence
Knowledge systems for investigations
Retrieval-augmented systems for investigative analysis and operational intelligence. Graph-RAG with entity extraction and knowledge graphs, vectorless retrieval, and hybrid systems across multiple backends. All run locally. Air-gap deployable.
Data intelligence
Pipelines that turn raw data into structured, queryable intelligence. Document ingestion, entity extraction, knowledge graph construction, pattern discovery. Runs on local models with no cloud dependency.
Modernization & Automation
Legacy system modernization
We bring aging systems forward. Brittle legacy software gets wrapped or replaced with maintainable, documented services that integrate with modern infrastructure and AI workflows.
Workflow automation
We automate the manual, repetitive work that slows teams down. Document processing, data movement, reporting, and analysis, handled by reliable pipelines and AI agents instead of people.
Tooling & Platforms
Custom tooling
Purpose-built tools for operators and analysts, shaped around the real workflow instead of a generic product roadmap. Built by the people who use them.
Deploy anywhere
Cloud, on-prem, edge, or fully air-gapped. Our platforms run on local models with no external dependencies, so they work where the data lives.