PHYMER / ENGINEERING INTELLIGENCE

Intelligence for the
Digital Physical World.

From engineering intent to verifiable action.

Explore the platform
A measured point cloud transitions through an engineering mesh into a machined physical component.MEASURED INPUT
PTS / 3D
COMPUTABLE MODEL
MESH / STATE
PHYSICAL OUTPUT
REVIEW / VERIFY
X+ →Z+
SYS / PHYMER-01LOCAL-FIRSTREV / 2026.09
01The system grammar
01

Define

Translate engineering intent and constraints into an explicit, reviewable specification.

02

Understand

Combine domain knowledge, local context, and available evidence without losing provenance.

03

Execute

Coordinate people, models, software, and machines through controlled capability calls.

04

Verify

Return results to the engineer with state, trace, and the limits of available evidence intact.

02Why PHYMER

Industrial intelligence is not a prompt box. It is a governed system of context, capability, state, and physical evidence.

PHYMER is being built for work where an answer must survive engineering constraints, tool execution, interruption, and human review.

Read our thesis
03The three-end system
01 / EDGE

Engineering Workstation

Design · Simulate · Review

Engineering files, CAE tools, and human decisions stay at the point of work.

02 / LOCAL

Local AI BOX

Reason · Orchestrate · Persist

Local models coordinate sessions, tools, policy, and recoverable operations.

03 / CLOUD

Secure Capability Cloud

Publish · Authorize · Verify

Signed capabilities and public metadata are delivered on demand without customer engineering content.

Inspect the architecture
04Execution trace

Make the path visible.

A useful industrial agent exposes what it understood, what it intends to call, what is running, and what evidence supports the result.

INT-01

Intent

Objective, constraints, evidence level

PLN-02

Plan

Tools, policy, resources, approval

EXE-03

Execute

Local capability invocation

VER-04

Verify

Results, provenance, human review

Begin with engineering work that is already physical.

Our current product work connects automotive CAE preprocessing, local model reasoning, controlled optimization workflows, and engineer-led verification across the three-end system.

Examine the current field