Company
Built to see the whole system.
MORVS is the Houston-based research and engineering brand of AI Analytics LLC: it publishes public-record registers and builds data APIs, agent tools and encrypted-communication software.
Research and engineering across machine intelligence, offensive security, and autonomous systems.
The company
What is MORVS?
MORVS is an intelligence and advanced systems brand based in Houston, Texas, operated by AI Analytics LLC and founded by Dillon Parkes. It publishes source-linked public intelligence and develops encrypted communication research. Its broader research agenda explores machine intelligence, offensive security, and autonomous systems.
Explore the Federal Data Hub, the public API, and the dataset catalog.
Research direction
Intelligence for an adversarial world.
Our direction is asymmetric capability: giving focused technical teams the ability to understand, test, and coordinate complex systems at a scale that once required a much larger institution. Three research areas shape that ambition.
Machine intelligence
Specialized models, reasoning agents, intelligence discovery, and model evaluation.
Offensive security
Security research, authorized red teams, adversarial AI, and testing how defenses respond.
Autonomous systems
Coordinated agents, swarms, distributed execution, and encrypted communication.
These areas describe our research direction. Individual project pages explain what is available, what is in development, and the limits of the published work.
From investigation to infrastructure
A collective approach to complex systems.
Research informs the engineering. Engineering extends the investigation. Source collection, entity resolution, protocol design, and usable interfaces belong in the same conversation. We work across those boundaries to carry a problem from the first record to a working system.
The work spans censorship evidence, public-record intelligence, privacy applications, publishing infrastructure, and encrypted communication. Each project has its own purpose and scope. Published datasets and documentation expose sources, methods, and reuse terms; software availability varies by project.
Selected work
Research, platforms, and systems.
Swarm SDK
Encrypted coordination / MORVS research
Applied cryptography for autonomous-system communication. The public case study explains hybrid key exchange, session security, mesh routing, and transport integration; the implementation is proprietary.
Voidly
Privacy infrastructure / Independent company
Voidly is an independent company building privacy infrastructure for people and AI agents through Voidly VPN, Veil encrypted messaging, Voidpay agent payments, and Voidmail agent email. Atlas provides open internet-censorship research. Developer tools, integrations, documentation, and support connect the product family.
Nexcom
Publishing infrastructure / Independent company
A network of local and specialist publications operated by NEXcom Digital, Inc. Its shared publishing infrastructure combines source attribution, AI-assisted production, and human oversight.
Federal Data Hub
Source-linked public intelligence
A keyless API and a catalog of 229 entries from government sources, regulators/SROs, and derived indexes, with 228 marked live. The engineering work joins ingestion, normalization, entity resolution, and a usable public interface.
A public body of work
Follow the result back to the method.
The site also holds institution-level accountability datasets and the technical writing behind the projects. Source links, coverage, and reuse terms stay with the relevant record. Recent additions like What Your Pension Owns, Bought by Your Police, and Closed to Machines show that approach. How the accountability datasets connect explains the shared approach behind the collection.
- Federal catalog
- 229 entries, 228 live
- Accountability collection
- 50 datasets
- Technical writing
- 502 articles
- Public code
- Voidly on GitHub
Working standards
Careful where it counts.
Evidence has limits.
A source record, a model output, and a verified result carry different weight. We keep those distinctions explicit. Public accountability work focuses on institutions and documented actions, with source provenance and a route for corrections. Federal AI inventory safeguards analysis shows how we report agency disclosures and their limits.
Useful systems are explainable.
We publish methods and engineering notes so others can examine the decisions. Public datasets state their own licenses; proprietary work is identified as such. The documentation should make clear what someone can use and what a result establishes.
Internal research systems
The tools behind the investigation.
Footprint Vault is in-house research tooling for organizing public-source evidence and resolving relationships. The tooling itself is internal.
Origins & ownership
Independent direction.
Clear responsibility.
- Operated by
- AI Analytics LLC
- Based in
- Houston, Texas
MORVS is the research and systems brand operated by AI Analytics LLC. Dillon Parkes leads that work and founded Voidly, an independent company. He co-founded Nexcom with Galen Kahlenberg in 2024; Nexcom is operated separately by NEXcom Digital, Inc.
The work formerly published as AI Analytics is now presented as MORVS at morvs.ai. Historical article bylines remain as published. The public API is at api.morvs.ai, with its documented legacy hostname retained. MORVS mail is at morvs.ai.
Founder
Dillon Parkes founded MORVS and leads its research and engineering. He also founded Voidly and co-founded Nexcom. Read the founder profile.
Questions about MORVS
What is MORVS?
MORVS is the intelligence and advanced systems brand of AI Analytics LLC. Its research direction spans machine intelligence, offensive security, and autonomous systems; its public work includes source-linked intelligence and encrypted communication research.
Who operates MORVS?
AI Analytics LLC operates MORVS. Dillon Parkes founded it and leads its research and engineering.
Where is MORVS based?
MORVS is based in Houston, Texas, United States.
How can I access MORVS data?
Use the keyless public API and MCP interface, or download static JSON datasets. The dataset catalog and Federal Data Hub explain sources, coverage, and reuse terms.
How do I request a correction?
Follow the corrections policy for a data or factual error, or contact [email protected] with the page URL and details.
Site delivery and technical reference
This site is a static Next.js 16.3.2 export served on Cloudflare Pages. The public APIs and data infrastructure run separately.
Have a problem that crosses disciplines?
We work on research collaborations, software development, and infrastructure that crosses technical boundaries. Bring the problem, the constraints, and what a useful outcome would look like.