Research agenda
Initial work is centered on machine intelligence, machine agency and AI-enabled scientific discovery.
TenInvent is an active advanced-technology research initiative focused first on AI. Our initial work is underway across machine intelligence, machine agency and AI-enabled scientific discovery — with technical work and public research output developing progressively.
Technology rarely moves in a straight line. A new model, architecture or scientific technique can sit at the edge of attention for years before it changes an industry.
TenInvent is active today. We are still early, deliberately so: the current priority is to develop a small number of research programs with enough depth to produce technical evidence, not simply more claims.
“The future usually looks obvious only afterwards.”
The work is already underway, but TenInvent is still at the stage where depth matters more than volume. We will make work public as it becomes substantive enough to be useful.
Further research programs, technical work and collaborations will be announced as they reach a stage worth making public.
Initial work is centered on machine intelligence, machine agency and AI-enabled scientific discovery.
Early experiments and prototypes are being developed privately while the evidence base takes shape.
Research notes, technical perspectives and experimental results will begin appearing as the work matures.
A structured program for collaborating with enterprise and consumer technology companies is being prepared now.
The initial agenda concentrates on memory, reasoning, agency and AI-enabled discovery — areas where better answers could change what intelligent systems are able to do.

Reasoning, memory, learning, multimodality and new model architectures. The question is not simply how large AI can become, but what makes intelligence more capable, reliable and useful.

Systems that can pursue an objective, make decisions, use tools, recover from failure and continue working over longer horizons with less supervision.

Using machine intelligence to help generate hypotheses, design experiments, search possibility spaces and discover relationships that are difficult to find by conventional means.

Turning technically interesting ideas into working systems. When something survives contact with reality, the next question is where it can create meaningful value.
TenInvent is early, and we are not going to manufacture certainty. These are the kinds of technical questions that define the initial AI research agenda.
Long-lived intelligence needs more than a larger context window. We are interested in how a system should decide what to remember, what to forget, how memories change, and how earlier experience should influence later decisions.
Calling tools is not the same as sustained agency. Planning, state, recovery, self-evaluation, uncertainty and the ability to revisit earlier decisions all become harder as the horizon gets longer.
The more interesting possibility is not faster literature search. It is whether machine intelligence can help form hypotheses, design experiments, challenge its own assumptions and update explanations when evidence disagrees.
Today these capabilities are often assembled as separate layers. We are interested in whether different architectures could make them behave more like parts of one persistent intelligent system.
Technical credibility cannot come from positioning alone. As TenInvent moves from questions to evidence, this is where research notes, experiments and prototypes will appear.
What persistent memory would need to do before an agent can learn from experience across long periods of time.
A practical investigation of what breaks when an intelligent system must preserve goals, state and context across extended work.
From answering scientific questions to helping generate, test and revise scientific explanations.
Exploring architectures in which cognition and action are not treated as loosely connected components.
We do not need every question to become a product. We do need every serious idea to eventually meet evidence.
Find a problem worth understanding before it becomes obvious.
Form a technical hypothesis and look for what would make it true or false.
Build enough of the idea to learn what theory alone cannot tell us.
Measure what happened and let the result change the answer.
When something proves useful, develop it into technology that can matter.
Some of the most consequential ideas will emerge where fields meet. TenInvent keeps a wider horizon so that useful connections are easier to notice early.
There is no point looking at the frontier with an operating model built for certainty.
Start with the important question, not the fashionable category.
Look beyond today's product cycle without losing contact with reality.
Useful ideas often appear where established fields begin to overlap.
A prototype is often a better argument than another hundred slides.
Promising ideas are allowed to fail. Evidence decides what deserves more work.
TenInvent is beginning with frontier AI questions, but the destination is practical technology. The strongest ideas should survive experimentation, become working systems, and earn the right to be taken further.
That could mean new architectures, persistent intelligent systems, AI-native discovery tools or products that only become possible because the underlying research worked.
TenInvent is preparing a Technology Partnership Program for enterprise and consumer technology companies that want to explore emerging AI capabilities, investigate technically difficult problems, or develop new technology ideas with a research partner.
We expect the strongest collaborations to begin with a real question or opportunity — not a pre-written technology brief. The program will create a structured way to explore, prototype and evaluate possibilities together.
TenInvent will keep this record deliberately factual: what has started, what is underway, and what is coming next.
TenInvent established its public research identity and initial digital presence.
Early research questions are concentrated around intelligence, memory, agency and AI-enabled scientific discovery.
A collaboration program for enterprise and consumer technology companies will be announced shortly.
Research collaboration, an unusual technical idea, a strategic partnership, or simply a question that does not fit neatly into an existing category — start there.