From algorithm
to physical
object
We build end-to-end systems that bridge artificial intelligence and physical fabrication — from scanning a real-world object to its parametric CAD model, from an evolutionary algorithm to a finished 3D print.
Native Research is where machine intelligence meets the workshop.
We work across the full loop: perception → reasoning → geometry → fabrication. A point cloud becomes a parametric solid; a stress field becomes a lattice; a slicer learns a new kind of printer; an agent runs the experiment overnight.
Everything is built and validated on our own infrastructure and print farm — hypothesis, prototype, real object. We publish what we can as open source.
Reverse engineering
From scans & point clouds to clean, parametric STEP. Section analysis, primitive-free reconstruction, ML-assisted CAD recovery.
Advanced additive mfg
Belt printing, multi-material toolchanging and FEM-driven structural infill — pushing slicers and hardware past their defaults.
Autonomous systems & vision
Evolutionary coding agents, local vision-language perception of design tools, persistent situational-awareness assistants.
AI-piloted CAD
Driving real CAD engines programmatically across a networked farm — sketches, extrudes and assemblies generated and verified by machines.
Robotics & automation
RTK-GPS autonomous machines, home & lab automation, reviving orphaned hardware with open firmware.
Context & tooling
Persistent context graphs, semantic code indexing and the operational glue that lets long-running R&D actually compound.
Autonomous evolutionary coding system for PLY to STEP reconstruction via section analysis.
Belt-printer fork of OrcaSlicer — inclined-gantry geometry, gravity-aware supports.
Partitioning large models across a heterogeneous print farm to minimise makespan.
Stress-aware lattice infill — FEM fields drive strut radius for strength-to-weight.
Local VLM perception layer feeding machine-parsable descriptions of GUI design apps.
3D scans (STL/OBJ/PLY) to parametric STEP using ML and CadQuery.
Native multi-filament changer driver for Klipper via the Happy Hare framework.
Converting a consumer robot mower to RTK-GPS autonomous navigation.
Real-time 3D scan to NURBS/STEP via projector-camera structured-light feedback.
Native Research website goes live
First public one-pager deployed to Netsons hosting and served over HTTP. Dark maker/hacker theme on the brand palette, with research tracks and a live project index. DNS A record for the apex added; AutoSSL pending certificate issuance.
Autonomous content pipeline online
The site now rebuilds and republishes itself. A daily job collects project manifests and session log entries, regenerates the page, and deploys it to the hosting docroot over FTPS — no manual steps. HTTPS is live with an issued certificate.
Open by default
Research and tooling published as open source wherever licensing allows, so others can build on it.
Local-first & Linux
Self-hosted compute, on-prem models and a fully Linux stack — data and experiments stay in-house.
Algorithm to atom
Nothing counts until it exists as a real object on the bench. The print is the proof.