REFACTR.

GPU-native infrastructure for serious compute

The pipeline

should never be

the bottleneck.

Simulation, medical imaging, game development, scientific visualization: all share one constraint. The formats underneath them were not built for the data volumes they now handle.

The problem is not compute. Modern GPUs have headroom most pipelines never reach. The bottleneck is I/O: how geometry is stored, loaded, and moved through the stack.

Refactr builds the foundation that removes it. How data is organized, how work flows, and how fast results come back, so what you build on top can finally run at full speed.

Regional
Selectee

Zindigi Prize 2024

Among the top 60 teams regionally

Out of hundreds of teams competing across campus rounds, the team advanced to the Regional stage of the Zindigi Prize, evaluated on technical depth, market potential, and execution readiness.

Innovation Program · Pakistan · 2024

Built by people who ship,

not theorize.

Rameel Malik

CEO

Seven years turning complex medical data into products people can use. Built Refactr's core when nothing off the shelf was fast enough. Founded the company to bring that same build-first mindset to every partner.

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Maryam

CXO

Four years in product, UX, and brand design. Shapes how Refactr looks and feels to clinicians, customers, and partners. Makes complex products easy to trust and easy to adopt.

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Dur Haider

CTO

Turns ambitious roadmaps into software that ships. Spots what slows teams down and clears it early. Delivered major speed gains across the product so partners see results sooner. Always pushing for the faster, sturdier path.

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Performance is not a feature.

It is the foundation.

Zero parsing overhead

geometry loads directly into GPU memory

Pipeline Acceleration

Processing bottlenecks are I/O problems, not compute ones. We rebuild pipelines around GPU memory architecture, eliminating the CPU-bound parsing overhead that stalls serious workloads.

5× faster reads

vs STL · the standard in medical & simulation pipelines · validated on 10M+ vertex meshes · lossless

Proprietary Binary Format

Legacy formats store geometry as human-readable text, parsed character by character on every load. Our format is binary, compressed, and reads directly into memory with no parsing step.

10M+ vertices

processed in under 500ms on a consumer GPU

GPU-Accelerated Processing

Raw volumetric data to fully processed output, entirely on the GPU. Normals, compression, and format conversion run in parallel on the same hardware your renderer already uses.

Numbers that speak

for themselves.

Format	File Size	Read Speed	Write Speed
Renex	500 MB	1.13 s	820 ms
OBJ	3.4 GB	76.6 s	90.5 s
STL	1.5 GB	2.72 s	6.88 s
PLY	728 MB	7.86 s	1.28 s

Tested on a 14.5M vertex mesh. Best of 10 runs.

End-to-End Execution

At Scale.

Legacy Pipeline

OBJ + CPU

baseline

Our Format

Proprietary Format + CPU

1.7× faster

Our Format

Proprietary Format + GPU

6× faster

Built for pipelines that

can't afford to wait.

Medical Imaging

Surgeons navigate millimetre-scale lung structures through flat 2D slices, where misreads are structural, not exceptional. 3D reconstruction changes surgical outcomes. Refactr built the proof of concept: a full pipeline from raw CT scan data to real-time 3D lung visualization with tumour localisation, running on a consumer GPU.

Game Development

Asset pipelines at scale spend more time moving geometry than rendering it. OBJ files that take minutes to load, format conversions that block the build, normals dropped on export. The I/O layer should never be the reason a pipeline stalls.

VFX and Film Production

Mesh data in VFX routinely exceeds tens of millions of polygons per asset. Read and write overhead at that scale compounds across every iteration. Faster I/O means more iterations in the same window, which is where quality actually comes from.

Work that ships.

We're building for rendering engineers, technical artists, and compute teams at studios and simulation labs who've already maxed out what their current pipeline can do.

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