Built by AxcelerateAI
When the published models are not the answer
The seven public models cover the common jobs. Everything past that is a project: a model trained on your own catalogue, a pipeline that chains several steps, or a deployment that cannot sit on Replicate.
What this covers
Four kinds of work
All of it scoped and quoted per project. There is no self-serve version of any of this.
A model trained on your catalogue
If staged rooms have to be furnished from your own product range, or match a house style precisely, a general model will not do it. A fine-tuned one will.Multi-step pipelines
Several models per photograph, with rules about what runs when, plus the quality checks and retries that make it reliable enough to run unattended.Your own infrastructure
Where volume, latency or data residency mean Replicate is not the right place for it, we work out what deployment is possible and what it costs.Something not on the list
Property imagery has a long tail of specific jobs. If you can describe the input and the output, it is worth asking.
How it goes
Scoped before it is quoted
We would rather turn down work that will not succeed than take it on and find out later.
- Stage 1
Tell us the job
What goes in, what has to come out, how many a month, and what happens today. A call and some example images is usually enough.A view on whether this is worth building - Stage 2
A small proof first
Before anyone commits to a build, we run the idea on your own images. If the results are not good enough, that is the cheapest possible place to find out.Real outputs on your data - Stage 3
Build and deploy
Training, evaluation against your own quality bar, then deployment wherever it needs to run.A model you can call
Get in touch
What to send us
- What the images are and where they come from
- What you need out the other end
- Roughly how many a month
- Anything that constrains where it can run
The wider practice
PropLabs is the property-imagery side of AxcelerateAI
AxcelerateAI builds custom AI systems across computer vision, document processing, private language-model deployments and forecasting. The seven PropLabs models came out of that work.