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Sully.ai deploys multi-agent AI systems to automate hospital administrative and clinical work—receptionists, scribes, coders, and triage nurses running in the background. The stack is heavy on LLM orchestration (GPT, Gemini, LangChain, LlamaIndex) and healthcare interoperability standards (FHIR, HL7, Epic, Cerner, Athenahealth, Meditech), paired with production infrastructure (Kubernetes, Kafka, ArgoCD) built for scale. Leadership gaps in engineering, sales, and product—with active recruiting for all three roles—suggest post-seed scaling toward go-to-market and systems maturity.
Tech Stack 34 technologies
Core StackPython Node.js TypeScript React Jenkins Docker Kubernetes AWS Kafka RabbitMQ Epic Systems Jira Selenium PyTorch TensorFlow Hugging Face LangChain ArgoCD GCP Azure Cerner Athenahealth Meditech FHIR HL7 GPT Gemini Bash Linear LlamaIndex+4 more
What Sully.ai Is Building
◆Challenges
- Burnout
- Administrative chaos
- Delays in healthcare
- Misdiagnoses
- Complex ehr integration
- Third party risk management gaps
- Reducing delays
- Hipaa compliance
- Integration incident rate
- Latency in ai generation
▲Active Projects
- Ship an sdk and sample app mvp for partner onboarding
- Build go-to-market engine from scratch
- New product features for agentic ai platform
- Scalable systems for metrics-driven execution
- Establish gold-standard ci/cd and observability
- Scale systems to achieve $100m in contracted arr
- Operationalize u.s. execution & unblock pipelines
- Define go-to-market agent prioritization roadmap
- Client success playbook development
- Client adoption plan development
Hiring Activity
20 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Head of Engineering, Head of Sales, Head of Product
Company intelligence