Invision AI
Machine Learning · Computer Vision

Invision AI tech stack

Invision AI builds mostly with Python, Elixir, C++, JavaScript. Its stack also includes InVision, Linux, PyTorch, TensorFlow. InVision is named in 4 of the 4 job postings Invision AI published in the last 12 months (100%). Counted by Alion from the job postings of Invision AI, updated Nov 6, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 6, 2026
Technologies in use
46
Postings analysed
4
Open now
4
Modernity
71 /100

What programming languages does Invision AI use?

Python is named in 75% of job postings at Invision AI, followed by Elixir (50%), C++ (50%), JavaScript (25%).

Python 3 75% required in 67% · 3 open now · since Aug 2026
Elixir 2 50% required in 100% · 2 open now · since Sep 2026
C++ 2 50% required in 50% · 2 open now · since Aug 2026
JavaScript 1 25% required in 100% · 1 open now · since Sep 2026
Ruby 1 25% optional · 1 open now · since Sep 2026
TypeScript 1 25% optional · 1 open now · since Sep 2026

What frameworks and libraries does Invision AI use?

PyTorch is named in 50% of job postings at Invision AI, followed by TensorFlow (50%), Django (25%), Phoenix LiveView (25%).

PyTorch 2 50% required in 50% · 2 open now · since Aug 2026
TensorFlow 2 50% required in 50% · 2 open now · since Aug 2026
Django 1 25% required in 100% · 1 open now · since Sep 2026
Phoenix LiveView 1 25% required in 100% · 1 open now · since Sep 2026
Ruby on Rails 1 25% required in 100% · 1 open now · since Sep 2026
Scikit-learn 1 25% required in 100% · 1 open now · since Aug 2026
TensorFlow C++ 1 25% required in 100% · 1 open now · since Aug 2026
Keras 1 25% optional · 1 open now · since Aug 2026
Show all (14)
Matplotlib1
ONNX Runtime1
Plotly1
PostGIS1
Seaborn1
Unreal Engine1

What databases does Invision AI use?

PostgreSQL is named in 25% of job postings at Invision AI.

PostgreSQL 1 25% optional · 1 open now · since Sep 2026

What cloud and platforms does Invision AI use?

InVision is named in 100% of job postings at Invision AI, followed by Linux (50%), AWS (50%), NATS (50%).

InVision 4 100% required in 100% · 4 open now · since Aug 2026
Linux 2 50% required in 100% · 2 open now · since Sep 2026
AWS 2 50% required in 50% · 2 open now · since Aug 2026
NATS 2 50% optional · 2 open now · since Sep 2026
GCP 1 25% required in 100% · 1 open now · since Sep 2026
Kubernetes 1 25% required in 100% · 1 open now · since Sep 2026

What developer tools does Invision AI use?

Docker is named in 75% of job postings at Invision AI, followed by gRPC (50%), Apache HTTP Server (25%), Nginx (25%).

Docker 3 75% required in 33% · 3 open now · since Aug 2026
gRPC 2 50% optional · 2 open now · since Sep 2026
Apache HTTP Server 1 25% required in 100% · 1 open now · since Sep 2026
Nginx 1 25% required in 100% · 1 open now · since Sep 2026
SolidWorks 1 25% required in 100% · 1 open now · since Aug 2026
CARLA 1 25% optional · 1 open now · since Aug 2026
MQTT 1 25% optional · 1 open now · since Oct 2026
Protobuf 1 25% optional · 1 open now · since Oct 2026
Show all (9)
TensorRT1

Which engineering practices does Invision AI ask for?

Digital Twin is named in 100% of job postings at Invision AI, followed by Computer Vision (100%), Machine Learning (100%), CI/CD (75%).

Digital Twin 4 100% required in 100% · 4 open now · since Aug 2026
Computer Vision 4 100% required in 75% · 4 open now · since Aug 2026
Machine Learning 4 100% required in 50% · 4 open now · since Aug 2026
CI/CD 3 75% required in 100% · 3 open now · since Aug 2026
Sensor Fusion 2 50% required in 100% · 2 open now · since Aug 2026
Edge AI 2 50% required in 50% · 2 open now · since Aug 2026
Knowledge Distillation 1 25% optional · 1 open now · since Aug 2026
Model Distillation 1 25% optional · 1 open now · since Aug 2026
Show all (10)
Quantization1
VPN1

How does your stack fit Invision AI?

Sign in to compare your skills with this stack and see which open roles fit you.
Sign In

How modern is the Invision AI stack?

Modern 71/100

Invision AI scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How common is the Invision AI stack in its industry?

Share of the 1,042 companies in the same industries, whose stack Alion knows, that use each technology.

InVision0%
Python70%
AWS45%
C++24%
Elixir1%
Linux28%
NATS1%
PyTorch29%
TensorFlow18%
Django7%

What sets Invision AI apart

InVision0%

Questions about the Invision AI tech stack

What programming languages does Invision AI use?

The languages named in Invision AI job postings are Python (75%), Elixir (50%), C++ (50%), JavaScript (25%), Ruby (25%), as a share of the 4 postings of the last 12 months.

Does Invision AI use PyTorch?

Yes. PyTorch is named in 2 of 4 job postings (50%) and required in 1 of them.

What cloud and platforms does Invision AI use?

The cloud and platforms named in Invision AI job postings are InVision (4), Linux (2), AWS (2) (postings in brackets).

Is the Invision AI tech stack changing?

No new technology has appeared in Invision AI job postings in the last six months.

How modern is the Invision AI tech stack?

Invision AI scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Invision AI tech stack?

Alion reads every job posting Invision AI publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Nov 6, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Invision AI tech stack: 46 technologies from 4 job postings", as of Nov 6, 2026. https://alion.io/company/invision/technologies

Licence: CC BY-SA 4.0JSON