Niural AI tech stack
Niural AI builds mostly with Python, TypeScript, JavaScript, SQL. Its stack also includes AWS, PostgreSQL, React.js, Figma. Python is named in 7 of the 19 job postings Niural AI published in the last 12 months (37%). Counted by Alion from the job postings of Niural AI, updated Sep 27, 2026.
What programming languages does Niural AI use?
Python is named in 37% of job postings at Niural AI, followed by TypeScript (26%), JavaScript (26%), SQL (16%).
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What frameworks and libraries does Niural AI use?
React.js is named in 26% of job postings at Niural AI, followed by pgvector (16%), Next.js (16%), Cypress (11%).
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What databases does Niural AI use?
PostgreSQL is named in 26% of job postings at Niural AI, followed by Pinecone (16%), DynamoDB (11%), Weaviate (11%).
What cloud and platforms does Niural AI use?
AWS is named in 26% of job postings at Niural AI, followed by Figma (16%), Anthropic (11%), GCP (11%).
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What developer tools does Niural AI use?
Rest API is named in 21% of job postings at Niural AI, followed by Docker (16%), Microsoft Excel (16%), Claude Code (11%).
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What AI and ML technologies does Niural AI use?
LLM is named in 26% of job postings at Niural AI, followed by ChatGPT (5%), Claude (5%), LoRA (5%).
Which engineering practices does Niural AI ask for?
AI Agents is named in 21% of job postings at Niural AI, followed by CI/CD (21%), Function Calling (21%), RAG (16%).
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What does each Niural AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
3 postingsField & Service
3 postingsHow does your stack fit Niural AI?
How is the Niural AI 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.
How modern is the Niural AI stack?
Niural AI scores 86 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: 5; legacy ones: 0.
How common is the Niural AI stack in its industry?
Share of the 135 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Niural AI apart
Companies with a stack like Niural AI
Questions about the Niural AI tech stack
What programming languages does Niural AI use?
The languages named in Niural AI job postings are Python (37%), TypeScript (26%), JavaScript (26%), SQL (16%), Dart (5%), as a share of the 19 postings of the last 12 months.
Does Niural AI use React.js?
Yes. React.js is named in 5 of 19 job postings (26%) and required in 4 of them.
What cloud and platforms does Niural AI use?
The cloud and platforms named in Niural AI job postings are AWS (5), Figma (3), Anthropic (2) (postings in brackets).
What skills do you need for a Backend job at Niural AI?
Backend postings at Niural AI most often require Python (3), AWS (2), DynamoDB (2), PostgreSQL (2), out of 3 postings in the last 12 months.
Is the Niural AI tech stack changing?
Yes. Tailwind CSS, LangChain, LangGraph, Tool Use first appeared in Niural AI job postings in the last six months.
How modern is the Niural AI tech stack?
Niural AI scores 86 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: 5; legacy ones: 0.
How does Alion know the Niural AI tech stack?
Alion reads every job posting Niural AI publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Sep 27, 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, "Niural AI tech stack: 89 technologies from 19 job postings", as of Sep 27, 2026. https://alion.io/company/niural-ai/technologies
