Realm Labs tech stack
Realm Labs builds mostly with Python, C++, Go, Java. Its stack also includes AWS, GCP, PyTorch, Transformers. LLM is named in 4 of the 5 job postings Realm Labs published in the last 12 months (80%). Counted by Alion from the job postings of Realm Labs, updated Sep 28, 2026.
What programming languages does Realm Labs use?
Python is named in 60% of job postings at Realm Labs, followed by C++ (20%), Go (20%), Java (20%).
What frameworks and libraries does Realm Labs use?
PyTorch is named in 60% of job postings at Realm Labs, followed by Transformers (40%), SGLang (20%), TensorFlow (20%).
PyTorch
3 60%
Transformers
2 40%
SGLang
1 20%
TensorFlow
1 20%
TensorRT-LLM
1 20%
FastAPI
1 20%
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What databases does Realm Labs use?
MySQL is named in 20% of job postings at Realm Labs, followed by PostgreSQL (20%), Redis (20%).
What cloud and platforms does Realm Labs use?
AWS is named in 60% of job postings at Realm Labs, followed by GCP (60%), Hugging Face (40%), vLLM (40%).
AWS
3 60%
GCP
3 60%
vLLM
2 40%
Kubernetes
2 40%
Azure
1 20%
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What developer tools does Realm Labs use?
Triton Inference Server is named in 40% of job postings at Realm Labs, followed by Docker (40%), Claude Code (20%), Rest API (20%).
Triton Inference Server
2 40%
Docker
2 40%
Claude Code
1 20%
Rest API
1 20%
TensorRT
1 20%
gRPC
1 20%
Git
1 20%
Prometheus
1 20%
Show all (9)
What AI and ML technologies does Realm Labs use?
LLM is named in 80% of job postings at Realm Labs, followed by Claude (20%), LoRA (20%), PEFT (20%).
Which engineering practices does Realm Labs ask for?
Interpretability is named in 40% of job postings at Realm Labs, followed by LLM Guardrails (40%), Multimodal AI (40%), Fine-tuning (40%).
Multimodal AI
2 40%
Fine-tuning
2 40%
NLP
2 40%
AI Agents
1 20%
Show all (11)
How does your stack fit Realm Labs?
How is the Realm Labs 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 Realm Labs stack?
Realm Labs scores 90 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: 4; legacy ones: 0.
How common is the Realm Labs stack in its industry?
Share of the 2,666 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Realm Labs
Questions about the Realm Labs tech stack
What programming languages does Realm Labs use?
The languages named in Realm Labs job postings are Python (60%), C++ (20%), Go (20%), Java (20%), as a share of the 5 postings of the last 12 months.
Does Realm Labs use PyTorch?
Yes. PyTorch is named in 3 of 5 job postings (60%) and required in 3 of them.
What cloud and platforms does Realm Labs use?
The cloud and platforms named in Realm Labs job postings are AWS (3), GCP (3), Hugging Face (2) (postings in brackets).
Is the Realm Labs tech stack changing?
No new technology has appeared in Realm Labs job postings in the last six months.
How modern is the Realm Labs tech stack?
Realm Labs scores 90 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: 4; legacy ones: 0.
How does Alion know the Realm Labs tech stack?
Alion reads every job posting Realm Labs publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Sep 28, 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, "Realm Labs tech stack: 55 technologies from 5 job postings", as of Sep 28, 2026. https://alion.io/company/realmlabs/technologies