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    Adaptive intelligence. Human purpose.

    Less busywork.
    More human.

    The research. The creativity. The community.
    That’s the work worth your time.

    We’re building AI to take on the searching, sorting and repetitive administration around it. Meet ERAIS: one adaptive architecture, built to use the skills and effort each task needs.

    A different idea of what AI is for
    ERAISMany skills. Selective effort.

    Illustrative task: compare two documents

    Illustrative outputSource-linked changes, ready for your review.

    Language compares the wording. Memory brings in the relevant context.

    Selected skillsArchitecture illustration · Not live inference

    The work between the work

    You didn’t get into this
    for the paperwork.

    Good work gets buried in scattered files, repeated forms and one more thing to chase. Start with the part of your week you want back.

    For the people who keep a community moving

    More helping. Less hunting.

    A grant deadline, three email threads and last year’s minutes. The information exists. Finding it is the job before the job.

    Sinter brings funding research, correspondence and meeting records into one local workbench.

    Available · Free community workbenchExplore Sinter
    Funding criteriaCommittee notesPast applications
    Fictional specimen · Example Sinter workflow

    Riverbend Community Fund

    Potential fit · Volunteer training

    Example funding brief · §2 Eligible activitiesTraining for volunteer-led programmes is eligible.
    Still to check

    Does your organisation meet the incorporation requirement?

    Illustrative result. You review. You decide.

    For the person running everything

    More follow-through. Less chasing.

    Enquiries in your inbox. Details in a spreadsheet. Follow-ups in your head. Every handover becomes another round of copying.

    Start with a defined setup using your existing tools, with training and a written fee cap.

    Available · Founder-led serviceFind a useful first improvement
    New enquiriesCustomer detailsFollow-up dates
    Fictional specimen · Example service outcome

    Enquiry 024 · Studio shelving

    Next step · Clarify the site visit

    Example email · Customer requirementsA wall-mounted unit, installed before our reopening.
    Still to check

    What dimensions and reopening date are confirmed?

    Illustrative result. You review. You decide.

    For the people asking better questions

    More discovery. Less duplication.

    The same project described in another form. Another funding search. Another evidence trail to assemble before the research can move.

    Bring us one workflow to test. Grant matching and reusable administration are the kinds of problems we want to solve with you.

    Work with us · Scope a workflowExplore the 10-Day AI Fit Test
    Project descriptionFunding requirementsExisting evidence
    Fictional specimen · Workflow opportunity

    Open Horizons Research Call

    Possible fit · A methods pilot

    Example call · §3 Project scopeEarly-stage method development is in scope.
    Still to check

    Is your host institution eligible to lead?

    Illustrative result. You review. You decide.

    For the work only you can make

    More creating. Less coordinating.

    Materials to track. Venues to research. Contacts and deadlines spread everywhere. The logistics compete with making the work.

    This is our direction for creative work: help with the coordination around it, while your taste, voice and imagination stay yours.

    Work with us · Explore your workflowTell us what gets in the way
    Materials & stockistsVenues & contactsDates & requirements
    Fictional specimen · Workflow opportunity

    Lantern Rooms Exhibition

    Possible venue · The October series

    Example venue brief · Access & displayWall-based work; installation support provided.
    Still to check

    Can the venue accommodate your largest piece?

    Illustrative result. You review. You decide.

    A different approach

    What if better AI
    didn’t mean
    more of everything?

    Why we’re taking this path

    Nature gave us a clue.
    Intelligence is selective.

    We don’t use every skill we have for every task. We bring the right knowledge to the moment, focus when it matters, and learn from what happens.

    That idea drives ERAIS—the Efficient Routed Adaptive Inference System. A growing set of specialist capabilities, connected by an architecture that routes work and adapts its effort.

    1. 01

      Build on what’s learned.

      Train new skills natively, or bring learned components from existing models with Fracture.

    2. 02

      Call on the right specialists.

      Route the task to relevant experts instead of treating every piece of knowledge as work to repeat.

    3. 03

      Give difficult work more thought.

      Revisit a problem when extra effort helps. Learn from outcomes to improve where that effort goes.

    Meet the architecture

    One architecture. A connected family.

    Different doors.
    The same direction.

    ERAIS is our adaptive cognitive architecture. Fracture brings existing learned capabilities into it. The experiences and applications make that work useful, visible and testable.

    The architectureERAIS

    Specialist skills · adaptive effort · shared context

    Two ways to build capabilityNative training + Fracture

    Learn from scratch. Bring across existing knowledge.

    01 / Connect

    Unified World,
    API & Discord

    One resident Fracture model, reached through conversation, your tools or your community.

    Meet the system
    02 / Put it to work

    Sinter

    A community workbench for funding, correspondence and meeting records. Local source tools, with Fracture assistance when you choose.

    Explore Sinter
    03 / Learn by doing

    Minecraft AI

    An embodied research player: perception, planning and ERAIS motor control meet a world that keeps changing.

    Watch the player
    RKC

    The knowledge companion. RKC turns repositories and documents into a searchable, cited atlas. Independent open-source software that Sinter, people and agents can use.

    Explore RKC
    How the implementations connect today

    These projects share a direction and interfaces, with different deployed components. Unified World, the Fracture API and NeuroForge Helper use the same resident model; visitor conversations and the continuing public world have separate state. Story Lab is a separate model trained natively. Minecraft combines ERAIS motor control with other planning and perception components. Sinter’s local tools work without a model and can call the public Fracture API. Explore the architecture and execution paths.

    Working systems. Open doors.

    The idea has teeth.
    Come and try it.

    Talk to a model. Hear a converted voice. Watch an agent act. Each experience opens a different part of the research.

    Explore every experienceLive experiences show their current availability when you open them.

    Working systems. Measured in context.

    Curiosity is welcome.
    So is scrutiny.

    Native language training, model conversion, speech and embodied experiments have run. Follow the results, the trade-offs and the next questions.

    Built for the people doing the work

    Keep the imagination.
    The insight. The human touch.

    Let’s work on the busywork.

    From biotechnology, big data and industrial problems. Meet the founder →