TopoVoid

The shape of intelligence.

Redundancy-free specialized models for low-cost, controllable industrial AI.

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TopoVoid · Original-Architecture Model

Built from scratch, structured inside.

Existing models entangle syntax, tone, and factual memory inside a single residual stream. We designed and pretrained the TopoVoid model from scratch so that reasoning operators, concept control subspaces, and null-space memory occupy mutually orthogonal channels.

  1. 01Orthogonal SpaceSeparate reasoning, style, and memory
  2. 02Mid-Layer GuideShape internal geometry in pretraining
  3. 03Concept BottleneckShift tone and reasoning without prompts
  4. 04Null-Space MemoryWrite new facts into weights in seconds

Because style steering and knowledge writing live in mutually orthogonal subspaces, the TopoVoid model switches register and reasoning mode without lengthy system prompts, and consolidates new facts and long conversations into weights in seconds—without forgetting prior knowledge or altering its voice.

READ OUR RESEARCH

Unified Platform & Modular Capabilities

One workspace. Expert modules on demand.

Every team works in the same workspace. Specialized modules plug in for the tasks that need them.

Base workspace
Open to every team
Specialized modules
Subscribe as needed, or deploy privately
  1. 01

    Engineering Drawing Analysis

    • Non-standard drawing parsing
    • Tolerance review
    • Process breakdown
  2. 02

    Process Sheets & Documents

    • Automatic breakdown of cross-border process sheets
    • BOM costing
    • Fast switching between brand standards
  3. 03

    Compliance Documents & Email

    • Email filing 98.5%
    • Scanned documents 97.6%

Measured results

  1. 01Email filing65.8%to98.5%
  2. 02Scanned documents64.2%to97.6%
  3. 03Satellite images64.7%to98.3%
READ THE WHITEPAPERAPI DOCS

Reflecho · Representation Geometry Toolchain

Work inside the representation.

Reflecho is the representation geometry toolchain TopoVoid uses internally to extract specialized modules. Grounded in differential geometry and topological data analysis, it reads and steers hidden states directly, without retraining base weights.

  1. 01MapChart representation geometry
  2. 02LocateIsolate task-driving subspaces
  3. 03SteerIntervene directly in hidden states
  4. 04TrainAdapt with minimal parameters

Reflecho also powers our hosted API, which learns a user’s working judgment from interaction history.

OUR APPROACH