Trellis builds and deploys computer-assisted agents to give patients access to life-saving medication.
Our computer-assisted AI agents perform billions of dollars worth of treatment procedures annually with patients in all fifty states. We do this by automating document intake, prior authorizations, and appeals at scale to streamline operations and expedite care. We categorize medical referrals, decipher chart notes, and automate contract and reimbursement searches to provide accurate coverage determinations and cost accountability to patients. Think of us as the underwriter of health care billing and reimbursement.
Trellis is a spinout of the Stanford AI Lab and is backed by major investors including YC, General Catalyst, Telesoft Partners, and executives from Google and Salesforce.
đ§đťââď¸Why work with us
- massive real impact: We serve patients in all fifty states and reach hundreds of health care locations. You will see directly the number of patients who received treatment because of the agents you created.
- Work with industry experts: Implement your AI with healthcare operations leaders who oversee more than 50 healthcare locations, gaining deep domain expertise while building cutting-edge technology.
- Be at the forefront of AI in healthcare: Build production-grade agentic systems that make critical health care decisions supported by robust evaluation frameworks.
- direct customer engagement: Work closely with F500 customers and the founding team. You’ll wear many hats, from technical architecture to customer success.
- excessive ownership: Owns key parts of Trellis’ technology infrastructure and has opportunities to launch new initiatives that process billions in health care transactions.
- world class team: Join team members who have won international Physics Olympiads, published economics research, been founding engineers at unicorn startups, and taught AI classes to hundreds of Stanford graduate students.
- Incredible growth and traction: We Revenue increased 10 times have been alone in the past few months and XX% market share The specific health care markets we serve.
what will you make
- Agentic frameworks for health care decision making: Design and implement AI systems that autonomously navigate complex reimbursement logic and preauthorization workflows.
- 24/7 AI coworker: Build and deploy long-running agent workers that test and process health care data around the clock, acting as trusted digital teammates to care teams.
- Production-Grade AI Systems: Develop your agents within our comprehensive evaluation suite, ensuring production-ready performance from day one.
requirements
- Experience designing, developing, and testing full-stack code from end to end
- Expertise in programming languages ââlike Python, Go and ML/NLP libraries like Pytorch, TensorFlow, Transformers
- Being proactive and a fast learner with a bias towards work
- Experience working with relational and non-relational databases, especially Postgres
- Experience with data and ML infrastructure
- Open source contributions and projects are a big plus
- Experience with cloud platforms (for example, AWS, Azure, GCP) and containerization technologies (for example, Docker, Kubernetes) is a plus
Trellis helps healthcare providers treat more patients faster â eliminating pre-service paperwork.
We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.
Our AI agent is trained on millions of clinical data points and converts dirty, unstructured documents into clean, structured data directly in your EHR.
With Trellis, leading healthcare providers and pharmaceutical companies were able to:
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Reduce treatment time by more than 90%
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Improve prior authorization approval and reimbursement rates
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Leverage structured data to enhance medication program performance and clinical decision making
Administrative costs account for more than 20% of US health care spending â delaying care, losing revenue, and frustrating staff, while there is less visibility than ever into patient care. We created Trellis to deal with this.