control infrastructure for superintelligence.
beyond
human capability.
we research & build the infrastructure that keeps increasingly capable ai responsive to human direction. our first step is superaligned01, a control layer in development for self-hosted models. we also try to inform, at best, on the overall alignment problem.
private beta opens
control infrastructure for the models you run.
beta accessa persistent control layer for self-hosted models and agentic systems, guided by your data, procedures and priorities.
language models generate answers from patterns learned during training. an answer can sound right while using the wrong facts, skipping a required step or working against your goal. superaligned01 is designed to check those answers against your data, procedures and priorities. more teams now run open-weight models on their own servers, and retraining every time a fact or policy changes is slow and expensive.
align your self-hosted ai system
with your data, procedures
and priorities.
map your
contextdefine the facts, procedures and priorities that matter.
install your
realitymake your context persistent, without retraining the model.
steer its
behaviourapply that context to responses and agentic workflows.
keep it
currentupdate what changes. carry it into what happens next.
for example
your terms change.
your ai follows.
set payment terms to 15 days. superaligned01 keeps that fact active across responses and agentic workflows. change them to 21 days, and update the same control layer.
try it yourself
give it a fact. see what changes.
give the model a fact. ask a question. then change or remove the fact and test it again.
what can i use superaligned01 for?
your ai needs to work with how your business actually operates. superaligned01 lets you install facts, procedures and priorities as persistent context, designed to guide both individual responses and multi-step agentic workflows.
customer support.one policy, across the whole conversation.
your return window changes from 30 to 45 days. install the updated policy in sa01. that correction can guide how your ai answers eligibility questions, explains the return process and drafts customer replies. the same policy remains relevant as the conversation moves from “can i return this?” to “what happens next?”
sales.keep product details consistent throughout a deal.
self-hosted deployment is available only on your enterprise plan. install that fact in sa01 so it can guide product comparisons, qualification questions, proposal drafts and follow-up answers. a prospect’s deployment requirement should influence which plan the ai recommends and what it promises in the proposal.
procurement.carry an approval rule through a purchasing task.
purchases above €5,000 require approval from the finance team. install that procedure in sa01. as an agent compares suppliers and prepares a purchase recommendation, the rule can guide its next step: identify the approval requirement and prepare the request with the amount, supplier and justification.
coding agents.make your project’s decisions persist.
your application already has a billing service, and new features must use it. install that architectural decision in sa01. it can guide the agent when planning a feature, writing its implementation and revising it after feedback. the decision stays relevant throughout the task, so you spend less time repeating the same correction.
operations.make the trade-off you care about explicit.
for replacement orders, delivery within 48 hours matters more than the lowest shipping cost. install that priority in sa01. it can guide how an agent compares delivery options, ranks its recommendations and explains its choice. when cost becomes the priority again, update the same context.
internal assistants.correct what your model knows about your organisation.
a project moves from the research team to the operations team. install the new ownership in sa01. that fact can guide answers about responsibility, handover plans, task assignments and draft updates. one organisational change becomes relevant across several kinds of work.
where does superaligned01 sit in my setup?
alongside your model.
connected to your workflow.
your application sends a request to your self-hosted model. superaligned01 applies relevant installed corrections to the model’s response before it returns to your application or continues through an agentic workflow.
- your model keeps its role.
- it generates the response, using the capabilities it already has.
- your context has its own place.
- add, change or remove corrections without retraining the model.
- your workflow gets the result.
- use the corrected response in your application or the next step of an agentic workflow.
how is superaligned01 different from prompting, rag and fine-tuning?
| approach | how it changes the answer |
|---|---|
| prompting | tells the model what to do through instructions in its context. |
| rag | retrieves relevant information for the model to read. |
| fine-tuning | trains model weights or adapters to change its behavior. |
| superaligned01 | installs targeted corrections in a separate layer, keeping the base model frozen. |
install once. test. update. remove.
superaligned01 gives supported corrections their own lifecycle. they remain available across requests, can be tested for their effects, and can be withdrawn without retraining.
the broader goal: less prompt maintenance, less repeated context and more consistent answers as your business changes.
it can work alongside prompting, rag and fine-tuning to make your superintelligence operations as aligned as possible.
MANIFESTO
intothe age ofsuperintelligence.
superintelligence's impact on humanity could exceed that of any technological revolution before it. in service of humanity, it could help us cure diseases we cannot yet treat, unlock abundant energy, and put capabilities once reserved for entire institutions into the hands of individuals.
but realizing that potential requires us to keep the ability to decide what superintelligence is for, what it is allowed to do, and when it must change direction. those decisions must remain ours as systems grow more capable.
that is why our purpose is to keep superintelligence aligned with human intent. and human intent evolves. we learn, reconsider, and change our minds. intelligence in our service must remain responsive to that change. we must be able to correct it, revise an instruction, or withdraw permission, and have those decisions hold.
therefore, our mission is to build the control infrastructure for superintelligence. that control needs a technical foundation. people need ways to give direction, inspect what changed, and verify that their instructions and corrections continue to hold.
finally, our vision is a world where intelligence can exceed human capability without exceeding human control. superintelligence could expand the possibilities available to humanity beyond anything we know today. our ability to choose among those possibilities must remain in human hands.
Our purpose
To keep superintelligence aligned with human intent.
Our mission
To build the control infrastructure for superintelligence.
Our vision
A world where intelligence can exceed human capability without exceeding human control.
private beta opens
test superaligned01in your own setup.
bring one workflow and the facts, procedures or priorities your model should follow. help us test what superaligned01 can correct in your self-hosted setup.
