DatologyAI tech stack

DatologyAI builds mostly with Python, C++, Go, JavaScript. Its stack also includes AWS, Azure, PyTorch, Snowflake. Python is named in 6 of the 13 job postings DatologyAI published in the last 12 months (46%). Counted by Alion from the job postings of DatologyAI, updated Oct 11, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 11, 2026
Technologies in use
39
Postings analysed
13
Open now
9
Modernity
83 /100
New in 6 months
1

What programming languages does DatologyAI use?

Python is named in 46% of job postings at DatologyAI, followed by C++ (8%), Go (8%), JavaScript (8%).

Python 6 46% required in 100% · 5 open now · since Mar 2025
C++ 1 8% required in 100% · since Sep 2026
Go 1 8% required in 100% · since Sep 2026
JavaScript 1 8% required in 100% · 1 open now · since Mar 2026
SQL 1 8% required in 100% · 1 open now · since Mar 2025
TypeScript 1 8% required in 100% · 1 open now · since Mar 2026

What frameworks and libraries does DatologyAI use?

PyTorch is named in 23% of job postings at DatologyAI, followed by Ray (15%), Dask (8%), React.js (8%).

PyTorch 3 23% required in 100% · 3 open now · since Jul 2025
Ray 2 15% required in 100% · 2 open now · since Jan 2026
Dask 1 8% required in 100% · 1 open now · since Jun 2026
React.js 1 8% required in 100% · 1 open now · since Mar 2026

What databases does DatologyAI use?

Snowflake is named in 15% of job postings at DatologyAI.

Snowflake 2 15% required in 50% · 2 open now · since Mar 2025

What cloud and platforms does DatologyAI use?

AWS is named in 31% of job postings at DatologyAI, followed by Azure (31%), GCP (31%), Kubernetes (31%).

AWS 4 31% required in 100% · 3 open now · since Mar 2025
Azure 4 31% required in 100% · 3 open now · since Mar 2025
GCP 4 31% required in 100% · 3 open now · since Mar 2025
Kubernetes 4 31% required in 100% · 3 open now · since Mar 2025
Spark 2 15% required in 100% · 2 open now · since Mar 2025
Figma 1 8% required in 100% · since Aug 2026
Hugging Face 1 8% required in 100% · 1 open now · since Jan 2026
Linux 1 8% required in 100% · since Sep 2026

What developer tools does DatologyAI use?

Docker is named in 15% of job postings at DatologyAI, followed by CloudFormation (8%), Pulumi (8%), Terraform (8%).

Docker 2 15% required in 100% · 1 open now · since Jan 2026
CloudFormation 1 8% required in 100% · 1 open now · since Jan 2026
Pulumi 1 8% required in 100% · 1 open now · since Jan 2026
Terraform 1 8% required in 100% · 1 open now · since Mar 2025

What AI and ML technologies does DatologyAI use?

LLM is named in 8% of job postings at DatologyAI, followed by VLM (8%).

LLM 1 8% required in 100% · 1 open now · since Jan 2026
VLM 1 8% required in 100% · 1 open now · since Jan 2026

Which engineering practices does DatologyAI ask for?

Synthetic Data is named in 100% of job postings at DatologyAI, followed by Multimodal AI (31%), Knowledge Distillation (15%), Model Distillation (15%).

Synthetic Data 13 100% required in 100% · 9 open now · since Mar 2025
Multimodal AI 4 31% required in 100% · 3 open now · since Jul 2025
Knowledge Distillation 2 15% required in 100% · 1 open now · since Jul 2025
Model Distillation 2 15% required in 100% · 1 open now · since Jul 2025
Semantic Search 2 15% required in 100% · 1 open now · since Apr 2026
Machine Learning 2 15% required in 50% · 2 open now · since Jul 2025
CI/CD 1 8% required in 100% · 1 open now · since Jan 2026
Edge AI 1 8% required in 100% · since Sep 2026
Show all (14)
IAM1
LLM Evaluation1
Post-training1
Pre-training1
Reinforcement Learning1
SFT1

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How is the DatologyAI stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
Semantic SearchApr 2026

How modern is the DatologyAI stack?

Cutting-edge AI adopter 83/100

DatologyAI scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How common is the DatologyAI stack in its industry?

Share of the 850 companies in the same industries, whose stack Alion knows, that use each technology.

Python63%
AWS43%
Azure28%
GCP31%
Kubernetes36%
PyTorch24%
Ray6%
Snowflake7%
Spark10%
C++18%

Questions about the DatologyAI tech stack

What programming languages does DatologyAI use?

The languages named in DatologyAI job postings are Python (46%), C++ (8%), Go (8%), JavaScript (8%), SQL (8%), as a share of the 13 postings of the last 12 months.

Does DatologyAI use PyTorch?

Yes. PyTorch is named in 3 of 13 job postings (23%) and required in 3 of them.

What cloud and platforms does DatologyAI use?

The cloud and platforms named in DatologyAI job postings are AWS (4), Azure (4), GCP (4) (postings in brackets).

Is the DatologyAI tech stack changing?

Yes. Semantic Search first appeared in DatologyAI job postings in the last six months.

How modern is the DatologyAI tech stack?

DatologyAI scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How does Alion know the DatologyAI tech stack?

Alion reads every job posting DatologyAI publishes and tags the technologies each one names. The figures on this page count the 13 postings of the last 12 months and were updated on Oct 11, 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, "DatologyAI tech stack: 39 technologies from 13 job postings", as of Oct 11, 2026. https://alion.io/company/datologyai/technologies

Licence: CC BY-SA 4.0JSON