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Dev Station Technology

AI Development

Keras development services on the backend you choose

We have no published Keras build. Keras 3 runs on JAX, TensorFlow or PyTorch, and we say plainly that our Python back ends do not train models.

0Published builds on Keras
3Backends Keras 3 supports
3.xVersion the Keras guide pins with keras~=3.0
1Backend you install separately
What we build

What we would take on with Keras

Models in a few lines

A high-level interface over your chosen backend.

A backend decision

JAX, TensorFlow or PyTorch, picked with your team.

Serving behind an API

A FastAPI service in front of a trained model.

Upgrades to Keras 3

Projects moved off older Keras releases.

Architecture

Where Keras would sit

A Keras model in the slot our AI product fills
Clients
React logo
React 19 appAccount briefs and grades
API
Python logo
FastAPIPython 3.13
Model
Keras logo
Keras modelWhere it would sit
Claude-compatible APISales OS, today

Illustration. A dashed outline marks where the technology would sit. We have no published build on it.

Backends

Keras 3 runs on three backends

The backends Keras 3 supports
JAXAvailable as the jax backend.
TensorFlowAvailable as the tensorflow backend. See our TensorFlow page.
PyTorchAvailable as the torch backend. See our PyTorch page.

Source: Keras, Getting started, keras.io/getting_started, checked 5 November 2026. You also need to install the backend framework.

Builds

The closest builds we can show you

Sales OS account research product built by Dev Station
AI product, in-house

Sales OS

Python 3.13 and FastAPI with an AI engine that writes a graded brief through a Claude-compatible API.

1 creditOpens all six tabs of an account brief
TruckFleet Labs dispatch console and driver app built by Dev Station
Logistics, fleet operations

TruckFleet Labs

A Python 3.13 back end on FastAPI with telematics ingest and PostGIS.

38Drivers on the app by week three
Fit check

When Keras is the right call

Pick Keras when

  • You want to build a deep learning model quickly
  • You want to keep the backend open
  • Your team already knows Keras

Look elsewhere when

  • You need a published Keras build to inspect, which we do not have
  • A model API already answers the question, as in Sales OS
  • Your data is a plain table, where scikit-learn is lighter
Stack

What Keras usually sits beside

TensorFlow logoTensorFlow
PyTorch logoPyTorch
Python logoPython
Docker logoDocker
scikit-learn logoscikit-learn
OpenCV logoOpenCV
FAQs

What buyers ask first

Which backends does Keras 3 support?

JAX, TensorFlow and PyTorch. You pick one and install it separately.

Do you have a published Keras build?

No. We say so on the first call and show the nearest work, which is a Python 3.13 back end and an AI product that calls a model API.

Keras or PyTorch?

Keras 3 can run on PyTorch, so the question is how much interface you want. We say which fits on the first call, and we have no published build on either.

Who owns the code and the cloud accounts?

You do, from the first commit. Repositories and cloud accounts stay in your name.

Tell us what your model has to learn

Thirty minutes on your data, your backend and your Keras version. No sales pitch.

Let's Talk