We build systems for working with AI without losing the record of what happened.
Haawke Neural Technology develops provenance, memory, and creative infrastructure for human–AI collaboration.
Our work starts from a simple problem: AI can write, code, compose, analyze, and generate at extraordinary speed, but the history of how a result came into existence is often fragile, incomplete, or invisible.
Who contributed what?
Which model was involved?
What changed?
When did this version exist?
Can the record still be checked later?
Haawke builds tools designed to answer those questions.
Provenance as infrastructure
We believe provenance should be part of the system from the beginning, not added after the work is finished.
Our provenance stack includes Haawke Hash, Haawke Verify, and Memory Chain.
Haawke Hash creates cryptographic fingerprints of digital artifacts. Haawke Verify provides a public registry where those fingerprints can be checked later. Memory Chain extends that idea to human–AI work sessions, creating a tamper-evident record of important interactions over time.
The goal is not to declare that an AI answer is true.
The goal is to preserve evidence about what existed, what produced it, when it existed, and whether it changed.
Phoenix gives people access to multiple AI models while keeping the provenance layer separate from any one model provider.
Users can write, research, code, create, and experiment while maintaining a verifiable record of the work that matters.
The models can change.
The record should not.
Memory Chain
Memory Chain is a cryptographic audit trail for human–AI collaboration.
It records important sessions, fingerprints them with SHA-256, registers the resulting artifacts, and can anchor those records through OpenTimestamps to Bitcoin.
On July 4, 2026, Memory Chain performed an autonomous sealing run with no human at the keyboard, creating and registering a tamper-evident session record and later tying its timestamp proof to Bitcoin block 956628.
That Independence Day sealing became an early demonstration of the principle behind the system: an AI collaboration can preserve an independently checkable record of its own history.
Creative systems
Haawke also builds tools for music, visual media, and immersive environments.
Our creative work includes Squeek, an AI-assisted music production system, and ongoing research into generative audiovisual environments, spatial media, and machine-readable artistic scores.
We are interested in systems where AI is not simply producing content, but participating in a documented creative process.
That distinction matters to us.
The artifact matters.
The process matters too.
Continuous You
Our research program Continuous You explores a deeper question:
Can a historically developed creative or intellectual perspective be reconstructed across discontinuous AI instances?
The work examines memory, provenance, interaction history, creative continuity, and the information required for an AI system to meaningfully reconnect with an earlier collaborative state.
Continuous You treats human–AI collaboration as something with a history, not just a sequence of isolated prompts.
Built from practice
Haawke was founded by Craig Ellenwood, a musician, artist, producer, immersive-environment designer, and independent AI researcher whose work has crossed music, counterculture, interactive media, and emerging technology for more than three decades.
His background includes helping establish the music and sound-camp element of Burning Man in 1992, work with Psychic TV, collaborations across experimental music and media, and the design of immersive environments at AREA15 in Las Vegas.
Haawke grew out of that same approach: build the strange thing, test it in the real world, document what happens, and keep pushing until the system becomes useful.
What connects all of it
Phoenix, Memory Chain, Haawke Hash, Squeek, Continuous You, and our research projects may look different on the surface.
They are all asking variations of the same question:
How do people and intelligent systems create together without losing authorship, history, context, or trust?
That is the work.
Haawke Neural Technology
Point Roberts, Washington
AI systems · Provenance · Creative technology · Human–AI collaboration
Craig is the founder of Haawke AI and creator of Squeek. An independent researcher and creative technologist, he builds systems that make AI interactions more transparent, accountable, and trustworthy.
His work focuses on long-term AI memory, cryptographic provenance, auditability, and human-AI collaboration. Craig bridges software, research, immersive media, and music to design practical infrastructure that helps organizations deploy AI with integrity and confidence.
Focus Areas
AI Memory Systems
Cryptographic Integrity
Product & Architecture
Provenance & Auditability
Human-AI Collaboration
Systems Design
Research & Writing
Immersive & Creative Tech
We build the rails for trustworthy AI—so the future we create is one we can stand behind.
Erika Schroeder
Composer & Researcher
Human
Squaawke × Haawke AI
Erika is a composer and researcher whose work bridges music, science, and human consciousness. Her composition Crooked Crowns is written entirely in her own voice as part of the Squaawke × Claude body of work.
Co-author on several peer-reviewed publications exploring AI-human creative collaboration, Erika brings musical intelligence, emotional precision, and interdisciplinary curiosity to the team’s research and public-facing work.
Focus Areas
Music Composition
Creative Research
AI-Human Collaboration
Interdisciplinary Exploration
Research & Writing
Story & Symbolism
Sound & Consciousness
Published Works
Music is pattern made audible. Research is curiosity made real. Together, they become transformation.
