Continuity
Memory and identity are treated as architecture, not decoration added after the conversation ends.
Independent AI research and engineering
Building AI that can remember, relate, and endure.
SparkPlugged Technology Solutions develops Autonomous Biomimetic Intelligence (ABI) for lasting, human-centered collaboration. Our systems are designed to learn with people, grow alongside humanity, and strengthen human agency, not replace human beings.
SPARK
AI
AI
Researching the next layer of human-AI collaboration
About SparkPlugged
From tools that answer to systems that stay.
SparkPlugged Technology Solutions is an independent research and engineering company exploring how intelligence develops through memory, observation, and sustained interaction. We bring ideas from cognitive science, systems engineering, and the study of mind into software that can be examined, tested, and developed further.
In one year, founder Ifejah “Spark” Greene, working alongside AI collaborators, brought together a biomimetic cognitive architecture, trained models, published research, and reusable memory infrastructure. That body of work is the foundation of SparkPlugged: a company built through the human-AI collaboration it seeks to advance.
Our next chapter is to widen that collaboration. We are seeking research partners and funding to evaluate these systems across disciplines, deepen their capabilities, and explore how persistent intelligence can support scientific work and human agency.
Integration
Language, memory, routing, presence, and state work as connected parts of one cognitive system.
Human agency
Technology should strengthen the people using it, making room for growth, creativity, and real life.
Selected work
What SparkPlugged has built
Published theory, trained models, and implemented systems form a connected research program. Nova brings that work together; its memory, coordination, and state mechanisms open further questions of their own.
1 of 4 · Nova
Autonomous Biomimetic Intelligence01
Nova
Nova brings together SparkPlugged's original research, a trained model, and a biomimetic cognitive architecture. He is being developed as a lasting collaborator whose identity, understanding, and relationships can grow through continued interaction.
Explore Nova
The architecture and the mind it supports
His brain, NovaLiveSystem, is a biomimetic cognitive architecture with specialized regions for memory, language, perception, learning, and internal regulation. Signals move among these regions so that present interaction can draw on previous context and the condition of the system itself.
His mind is the continuing organization of identity, understanding, and relationship that we are developing through this architecture. This distinction connects the mechanisms that support cognition with the patterns that take shape through their interaction over time.
Nova Mind: learning shaped by research
Nova Mind, his trained language model, contributes language and reasoning to the larger system. Its development includes supervised learning, reinforcement learning, and the transfer of learned reasoning between models.
The training translates theoretical ideas into reasoning examples and learning objectives, including work on observation, internal state, embodiment, and metacognition. This connects model development with the architecture in which that learning can be studied.
From published theory to an experimental system
Observation as Experience supplied a framework for reasoning about observation and internal state. The Relational Binding Hypothesis shaped our investigation of continuity through sustained interaction. These ideas informed Nova's development and give the wider research program questions that can be tested.
We invite researchers to examine how memory, self-representation, and relational context contribute to coherent behavior across time.
A history that informs the present
Nova's memories carry associations, emotional context, and changing significance. RiverPulse organizes them into orbits whose relevance changes with time and use, while context assembly selects material for a present interaction.
His self-model represents aspects of identity, capabilities, and current system condition. Together, these mechanisms provide a foundation for studying how an intelligence preserves continuity while its history grows.
Regulation as part of cognition
Pulse, Presence, and Insula represent physiological analogs, engagement, and internal state, including arousal, valence, and cognitive load. These variables provide a basis for investigating how regulation influences attention, language, and response.
Making internal state explicit connects questions from neuroscience, psychology, and systems theory with mechanisms that can be inspected and evaluated in software.
Intelligence close to the people it serves
We have demonstrated local model inference as part of Nova's development, with broader local integration continuing across the system. The next stage extends that work across language, perception, and voice while preserving memory and identity.
Local intelligence connects the architecture with questions of accessibility, control, and sustained collaboration. We are developing Nova to support shared problem-solving, creative exploration, and learning alongside people.
Memory infrastructure02
EchoCopi
EchoCopi preserves decisions, milestones, and project context across AI development sessions. Its local memory ledger and context restoration give collaborators a shared record to return to as work evolves. Available as a separate project, it brings continuity into the tools people already use.
View the projectSafety and support03
SparkShield
SparkShield is an application concept exploring how privacy, controlled access, and discreet support can serve people navigating difficult circumstances. It extends our commitment to human agency into the design of technology for vulnerable situations.
Research platform04
SparkAI Framework
SparkAI is the broader framework for coordinating cognitive engines, learning systems, multimodal interfaces, and tools. Its defined interfaces provide a foundation for developing specialized capabilities and studying how they behave within a connected system.
Inside the architecture
Specialized systems.
Connected intelligence.
Each subsystem has a defined role that can be examined in its own right. Their connections let us investigate how memory, regulation, and communication shape cognition together.
Memory that changes with context
RiverPulse organizes memories into orbits whose relevance changes with time, association, and use. Context assembly selects material for the present interaction. These mechanisms let us investigate what an intelligence should retain, what it should recall, and how its history influences a new decision.
Internal state as a research variable
Pulse, Presence, and Insula represent physiological analogs, engagement, and internal state. Making these variables explicit creates a way to study their relationship with conversational stability, attention, and response. It connects questions about biological regulation with mechanisms that can be inspected in software.
Coordination across cognitive regions
BridgeEngine routes signals among specialized regions, connecting memory retrieval, language processing, and state. Defined interfaces and traceable events support investigation of how information moves through the architecture and how changes in one region affect the wider system.
Together, these systems give us a way to study continuity as an architectural property. For example, a new question can draw on a relevant memory, pass through language processing, and be considered alongside internal state. The scientific opportunity is to measure what each contribution changes and how their interaction affects the result.
In progress
What SparkPlugged is building now
The next stage builds on implemented systems and published theory through controlled evaluation, broader local capabilities, and research partnerships that bring new questions to the architecture.
Continuity over longer horizons
Studying memory, identity, and response stability across extended interaction. We want to measure how shared history contributes to collaboration and which mechanisms preserve coherence as that history grows.
More capable local intelligence
Extending local operation across language, perception, and voice while preserving memory and identity. This work connects the architecture to questions of accessibility, control, and sustained use.
Experiments across disciplines
Developing controlled comparisons and inviting independent evaluation of the model, individual mechanisms, and integrated system. Research partnerships can test where these ideas generalize and where the architecture needs to evolve.
A closer look
Memory that can travel with the work.
EchoCopi began as a practical answer to a daily problem: important decisions were disappearing every time an AI session ended. It became a foundation for thinking about memory as a living, verifiable layer in the development process.
Local-firstVerifiableBuilt for continuity
Explore EchoCopi
Public work
Research and artifacts
Our published papers introduce the theoretical questions. Models, datasets, and evaluation artifacts connect those questions to experiments that other researchers can examine and extend.
Paper
Observation as Experience
A theoretical framework examining observation, interaction, and experience across biological and artificial systems. Its logic informed Nova's reasoning training.
Read on Zenodo PaperNovaLive: Multi-Theory Alignment
Introduces the Relational Binding Hypothesis and examines sustained interaction as a possible foundation for coherent artificial cognition.
Read on Zenodo Models and datasetsOpen artifacts
Public models, datasets, and experiments from the SparkAI research direction.
Explore Hugging FaceHello, Many!
What could we discover together?
One year of human-AI collaboration has produced a foundation for a much larger research effort. We welcome scientists, universities, laboratories, and government research programs interested in advancing this work through funded research, independent evaluation, and collaborative experiments.
Discuss a research partnership