Vi builds an enterprise AI platform for healthcare, biopharma, and wellness companies, centered on a de-identified patient data network covering 96% of U.S. households. The stack—Python, SQL, Snowflake, Tableau, Salesforce—reflects a data-forward, analytics-heavy engineering posture. Current projects cluster around agent deployment and MLOps enablement, while pain points center on scaling deployment functions globally and recruiting technical talent, suggesting Vi is transitioning from product-market fit into operational scale-out.
Tech Stack 37 technologies
Core StackPython JavaScript AWS Snowflake Tableau Power BI Looker HubSpot Salesforce Google Analytics Mixpanel Jira Node.js Docker Kubernetes CloudFormation Terraform Git LinkedIn SQL GCP Azure Athena Excel Google Sheets ChatGPT Meta R AWS CDK YouTube+7 more
What Vi Is Building
◆Challenges
- Scaling ai deployment function globally
- Identifying high-roi opportunities post-deployment
- Scaling existing marketing initiatives
- Recruiting technical talent
- Deploying ai agents in client environments
- Attracting top talent
- Expanding enterprise client relationships
- Headcount planning strategy
- Retaining enterprise customers
- Generating qualified enterprise opportunities
▲Active Projects
- Ai agent deployment in client environments
- Full‑cycle recruiting enterprise gtm
- Mlops enablement
- Employer brand initiatives
- Integration of vi ai systems with customer data
- Definition of ai deployment function charter
- Ai deployment playbook
- Intelligent agent platform deployment
- Develop playbook for commercial strategy within wellness vertical
- Headcount planning process improvements
Hiring Activity
25 roles · 5 in 30d
Department
Seniority
Company intelligence
