IN DEVELOPMENTExploring design partnershipsExplore our approach
PRODUCT CONCEPT · IN DEVELOPMENT

From engineering intent
to a review-ready design.

Describe the engineering outcome you need. Renra is being developed to plan, execute and iterate the investigation using your organization’s knowledge and compatible engineering tools—with engineers supervising the decisions that matter.

Illustrative investigation · Planned workflow, not a live product demonstration.

A REPRESENTATIVE ENGINEERING PROBLEMILLUSTRATIVE · NO SOLVER RESULTS

Give the objective.
Follow the development.

The planned workspace brings the brief, agent activity and engineering artifacts together. The agent would create geometry, mesh, configure compatible solvers and iterate designs, drawing on your team’s expertise while you review the choices that matter.

Start with what you have.

PLANNED INPUT MODES

Describe an objective in text or voice, share an image or drawing, or bring an experimental test report or previous study. The planned platform would extract relevant engineering context, identify missing information and propose the next investigation.

  • Text
  • Voice
  • Images & drawings
  • Experimental test reports
  • Previous studies

The investigation can begin from your existing material. Units, assumptions, data quality and relevance would be checked before using it in engineering work.

Research objectivePREPARED ARTIFACT
InputGeometryMeshResultsReview
ENGINEERING BRIEF

Develop a compact
electronics heat sink.

Explore an alternative and prepare a design for engineering review.

Starting geometry
Four straight fins · 60 × 40 mm footprint
Knowledge to consult
Material data, prior thermal studies and design rules
Study objective
Compare designs against an agreed temperature requirement
Illustrative inputs · Requirements to be confirmed with the engineer

A decision, its constraints and the context needed to investigate it.

Inspect prepared model
Geometry sketches. Interactive 3D loads when this study is in view. No solver-validated performance or accepted engineering result is represented.

Scripted concept walkthrough using prepared CAD and mesh assets. Temperature is illustrative. No live agent or solver is running.

THE PLANNED PLATFORM

Your expertise guides the work.
Each study carries it forward.

The intended platform derives routine model setup and study parameters from the objective and permitted context, asking for clarification when essential inputs or evidence are missing.

Your organization’s R&D expertise

Bring prior studies, material knowledge, design rules and expertise across domains into the investigation. Preserve their sources and reasoning, and check when earlier assumptions still apply.

Agent-led engineering execution

Turn the objective into a plan, derive routine parameters, create geometry and meshes, run compatible solvers and iterate designs within approved limits.

Supervised work. Lasting knowledge.

Review consequential choices and follow the evidence behind them. Retain approved methods, lessons and decision rationale in organizational memory for related investigations, within agreed access permissions.

EXECUTION THROUGH SUPPORTED INTERFACES
  • Geometry tools
  • Meshing
  • Numerical solvers
  • Approved compute

Planned architecture. Actual adapters, deployment boundaries and data permissions will be defined and validated for each supported workflow.

THE INTENDED DELIVERABLE

Review the design.
Trace the decisions.

The intended deliverable connects a design candidate to its inputs, tool configurations, numerical evidence and decision history, with permitted context available for related investigations.

Input & assumption sheet

The agreed question, geometry, units, materials, heat input, boundary conditions and acceptance criteria.

Versioned model & run record

Geometry and mesh versions, tool settings, execution records and source artifacts associated with each variant.

Numerical checks

Mesh sensitivity, relevant conservation checks, reference comparisons and any discrepancies requiring review.

Design comparison

How the alternatives compare against the original question, within the explored designs and stated model.

Limitations & open questions

What the study does not establish, uncertain inputs and any further numerical or physical testing required.

Engineering decision record

The reviewer's decision, its rationale and the evidence approved for later reuse within the permitted project context.

AI-generated interpretation and solver-generated numerical evidence should remain distinguishable in the study record.

ENGINEERING JUDGMENT MATTERS

Supervision where
judgment matters.

Engineers set direction and approve consequential choices. The intended platform handles routine model setup, tool execution and iteration within agreed boundaries.

Consequential assumptions need review.

Material choices, heat loads, boundary conditions, exceptions and final engineering decisions remain with qualified engineers.

Numerical checks have limits.

A converged solution can still use the wrong physical model. Physical validation and certification, where relevant, remain separate responsibilities.

Research context needs boundaries.

Access, retention, inference location and reuse permissions must be agreed for each evaluated workflow. Specific security and deployment guarantees are not established.

FROM AN EXAMPLE TO YOUR WORKFLOW

Start with a
representative study.

Initial conversations would establish whether a bounded evaluation makes sense for a recurring engineering problem your team already faces.

01 /

Bring a real problem.

Describe a recent study, the current workflow, the repeated effort and the decision it needs to support.

02 /

Agree an evaluation.

Define inputs, permitted tools, data-sharing arrangements, review criteria and a qualified engineering reviewer.

03 /

Review the value.

Assess accepted evidence, active engineer effort, total study cost and useful context carried into a related investigation.