OutcomesAI tech stack
OutcomesAI builds mostly with Python. Its stack also includes MLFlow, Deepgram, Triton, Kaldi. Python is named in 3 of the 3 job postings OutcomesAI published in the last 12 months (100%). Counted by Alion from the job postings of OutcomesAI, updated Sep 29, 2026.
What programming languages does OutcomesAI use?
Python is named in 100% of job postings at OutcomesAI.
Python
3 100%
What frameworks and libraries does OutcomesAI use?
Triton is named in 67% of job postings at OutcomesAI, followed by Kaldi (67%), NVIDIA NeMo (67%), PyTorch (67%).
What cloud and platforms does OutcomesAI use?
MLFlow is named in 100% of job postings at OutcomesAI, followed by Deepgram (67%), Hugging Face (67%), LiveKit (67%).
MLFlow
3 100%
ElevenLabs
1 33%
Kubernetes
1 33%
AWS
1 33%
Azure
1 33%
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What developer tools does OutcomesAI use?
WebRTC is named in 67% of job postings at OutcomesAI, followed by TensorRT (33%), Triton Inference Server (33%), Docker (33%).
What AI and ML technologies does OutcomesAI use?
LLM is named in 100% of job postings at OutcomesAI, followed by Whisper (67%), LoRA (67%), PEFT (67%).
Which engineering practices does OutcomesAI ask for?
Text-to-Speech is named in 100% of job postings at OutcomesAI, followed by Speech Recognition (100%), Fine-tuning (67%), Quantization (67%).
Speech Recognition
3 100%
Fine-tuning
2 67%
Quantization
2 67%
CI/CD
1 33%
Show all (15)
What does each OutcomesAI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
3 postingsHow does your stack fit OutcomesAI?
How is the OutcomesAI 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 OutcomesAI stack?
OutcomesAI scores 81 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.
Companies with a stack like OutcomesAI
Questions about the OutcomesAI tech stack
What programming languages does OutcomesAI use?
The languages named in OutcomesAI job postings are Python (100%), as a share of the 3 postings of the last 12 months.
Does OutcomesAI use Triton?
Yes. Triton is named in 2 of 3 job postings (67%) and required in 1 of them.
What cloud and platforms does OutcomesAI use?
The cloud and platforms named in OutcomesAI job postings are MLFlow (3), Deepgram (2), Hugging Face (2) (postings in brackets).
What skills do you need for a AI/ML job at OutcomesAI?
AI/ML postings at OutcomesAI most often require LLM (3), MLFlow (3), Deepgram (2), Whisper (2), out of 3 postings in the last 12 months.
Is the OutcomesAI tech stack changing?
No new technology has appeared in OutcomesAI job postings in the last six months.
How modern is the OutcomesAI tech stack?
OutcomesAI scores 81 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 OutcomesAI tech stack?
Alion reads every job posting OutcomesAI publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Sep 29, 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, "OutcomesAI tech stack: 43 technologies from 3 job postings", as of Sep 29, 2026. https://alion.io/company/outcomes/technologies