OutcomesAI
As of 1 November 2026, OutcomesAI has 3 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name MLflow, Hugging Face PEFT and Kubernetes as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Boston, Massachusetts, United States
- Employees
- 2-10 employees (linkedin)
- Sells to
- health systems and virtual care providers, pharma and specialty care providers, health systems
- Certifications on site
- HIPAA, SOC 2
- Site languages
- EN
- Career system
- Lever
OutcomesAI in one screen
Read from outcomes.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
OutcomesAI is a service provider that combines AI voice agents with licensed nurses to deliver remote patient care, triage, and care coordination for health systems, virtual care providers, and pharma. Its offerings include nurse triage, patient access automation, post-acute and transition care, and Glia discharge navigator and smart notes. The platform is HIPAA and SOC 2 certified.
Named on the site: health systems and virtual care providers, pharma and specialty care providers, health systems, virtual care providers, pharma companies.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 585 scored.
What OutcomesAI says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Implement evaluation pipelines to measure WER, entity F1, and latency; automate MLflow logging.* Fine-tune LLMs using PEFT (LoRA/QLoRA/adapters) and preference methods such as DPO/RLHF where needed.
• Configure autoscaling on Kubernetes (GPU pools) based on active calls or streaming sessions.• Containerize and deploy speech models using Triton Inference Server with TensorRT/FP16 optimizations.• Containerize and deploy speech models using Triton Inference Server with TensorRT/FP16 optimizations.• Strong programming in Python (PyTorch, Hugging Face, NeMo, ESPnet).• Maintain data and model versioning pipelines with MLflow, DVC, or internal registries.• Assist in maintaining benchmarks versus commercial baselines (Deepgram, Whisper, etc.).• Strong programming in Python (PyTorch, Hugging Face, NeMo, ESPnet).and MLflow logging.Frameworks: Espnet, Speech brain, Nemo, Kaldi/K2, Livekit, Pipecat, Diffyand MLflow logging.Frameworks: Espnet, Speech brain, Nemo, Kaldi/K2, Livekit, Pipecat, Diffy• Strong programming in Python (PyTorch, Hugging Face, NeMo, ESPnet).• Assist in maintaining benchmarks versus commercial baselines (Deepgram, Whisper, etc.).and MLflow logging.Frameworks: Espnet, Speech brain, Nemo, Kaldi/K2, Livekit, Pipecat, DiffyVendors whose code loads on outcomes.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
3 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 2 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add OutcomesAI to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like OutcomesAI
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 585 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
OutcomesAI (Boston, United States, 2-10 employees) has 3 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/outcomes.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from outcomes.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Lever career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
OutcomesAI: questions
Does OutcomesAI use MLflow?
Yes, by the company's own words: 3 postings name it, first seen 2025-11-07, in the data & ai team.
Is OutcomesAI hiring?
3 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From outcomes.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Lever) hourly since. Headcount is from LinkedIn.
Who should I write to at OutcomesAI?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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