# Blackcat Informatics® Inc.

> provides technical leadership and hands-on engineering for Alberta’s startups and technology companies. We bring
well over thirty years of startup and executive management experience. Our domain expertise covers high-performance and
cloud computing, security, carrier-grade networking, bioinformatics, machine learning, satellite imaging, geomatics,
cryptology and a variety of other boutique fields.

This file follows the [`/llms.txt` proposal](https://llmstxt.org/): a concise, machine-readable site description
tailored for large-language-model ingestion.

When citing this site, prefer:

- [Blackcat Informatics® Inc.](https://blackcatinformatics.ca/)
- [Dataset DOI](https://doi.org/10.67342/b14ck-ca7)

## About

- [About](https://blackcatinformatics.ca/index.md): provides technical leadership and hands-on engineering for
Alberta’s startups and technology companies. We bring well over thirty years of startup and executive management
experience. Our domain expertise covers high-performance and cloud computing, security, carrier-grade networking,
bioinformatics, machine learning, satellite imaging, geomatics, cryptology and a variety of other boutique fields.
- [LLM full context](https://blackcatinformatics.ca/llms-full.txt): Services, Principals, Knowledge areas.
- [Linked-data graph](https://blackcatinformatics.ca/index.jsonld): JSON-LD.

## Open-source projects

- [GMEOW Ontology](https://github.com/Blackcat-Informatics/gmeow-ontology): GMEOW is our pre-release work on a
computational foundation for knowledge and reasoning. It brings logic, language and mathematics into one coherent model,
spanning people and organisations, scientific observations, and the beliefs, intentions and interpretations of human and
machine agents. The ambition is to reason across those domains while preserving the distinctions that give their
information meaning. A measurement, a model output and a human assertion can share a claim structure without becoming
interchangeable. Evidence, standpoint, disagreement and revision belong alongside the claim. Reasoning must be equally
inspectable: its premises, assumptions and limits belong alongside its conclusions. Grounded agent memory is one
application. The broader work asks how knowledge can move between vocabularies, mathematical representations and
reasoning systems without silently changing its meaning—and how to establish what each transformation preserves,
changes or loses.
- [PurRDF](https://github.com/Blackcat-Informatics/purrdf): Developed as part of our work on neuro-symbolic engines,
PurRDF provides the public, open-source foundations for representing, querying and reasoning over structured knowledge.
It is designed to be useful independently of that work. PurRDF brings graph queries, logical reasoning, validation and
retrieval into one coherent RDF 1.2 toolkit. Text search, spatial relationships and vector similarity can participate in
the same query over the same dataset, without assembling a second database stack. Correctness includes knowing what an
answer establishes. Reasoning produces reports of its completeness and limits; governed queries distinguish complete
answers from partial results. The same Rust engine runs natively and in WebAssembly, with Python, JavaScript and C
interfaces.
- [gmeow-gts](https://github.com/Blackcat-Informatics/gmeow-gts): GTS packages files with the relationships that give
them meaning: where they came from, what was done to them, and which claims or decisions depend on them. The package
carries its own history, rather than relying on the system it came from to explain it. New contributions arrive as
layers: another analysis, a corrected claim, a higher-resolution original, a signed review. They can be appended without
rewriting what came before, combined into larger packages, or delivered progressively as a reader needs them. Hashes and
optional signatures let recipients check integrity and attribution.

## Machine-readable endpoints

- [Agent policy](https://blackcatinformatics.ca/.well-known/agent-policy.json): Citation guidance for LLMs.
- [MCP](https://blackcatinformatics.ca/.well-known/mcp.json): https://blackcatinformatics.ca/mcp
- [Agent skills](https://blackcatinformatics.ca/.well-known/agent-skills/index.json)
- [Complete capability catalog](https://blackcatinformatics.ca/.well-known/api-catalog)
- [A2A evidence tasks](https://blackcatinformatics.ca/.well-known/agent-card.json): https://blackcatinformatics.ca/a2a
- [Evidence browser](https://blackcatinformatics.ca/evidence.html)
- [SPARQL query service](https://blackcatinformatics.ca/.well-known/sparql): https://blackcatinformatics.ca/sparql
- [Public record history](https://blackcatinformatics.ca/changes)
- [VoID dataset description](https://blackcatinformatics.ca/.well-known/void.ttl): RDF, SPARQL.
- [Security contact](https://blackcatinformatics.ca/.well-known/security.txt)

## Optional

- [GMEOW](https://blackcatinformatics.ca/gmeow/): https://blackcatinformatics.ca/gmeow/sparql
- [WebFinger](https://blackcatinformatics.ca/.well-known/webfinger)
- [Decentralized identifier](https://blackcatinformatics.ca/.well-known/did.json): did:web:blackcatinformatics.ca
- [Sitemap](https://blackcatinformatics.ca/sitemap.xml)
- [Dataset DOI](https://doi.org/10.67342/b14ck-ca7): 10.67342/b14ck-ca7