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LVIS Tech Stack

Neural signal analysis platform for brain disease research and diagnosis

Medical Equipment Manufacturing Palo Alto, California 11–50 employees Privately Held

LVIS develops AI-driven neural signal decoding software using PyTorch and Python, grounded in Stanford neuroscience and engineering expertise. The stack—PyTorch, SciPy, NumPy, MATLAB—reflects a research-first, compute-heavy organization. Hiring has accelerated across healthcare and research roles (8 of 16 open positions), while pain points cluster around regulatory alignment (DMPA/KGMP, QMSR transition) and delivery efficiency, suggesting the company is moving from research-stage toward clinical validation and commercialization.

Tech Stack 22 technologies

Core StackPython PyTorch NumPy MATLAB Jira Confluence Figma Epic Systems Workable Java Hibernate AWS SciPy Microsoft Office Cerner LinkedIn LinkedIn Recruiter Spring Framework Git GCP Azure HL7

What LVIS Is Building

◆Challenges

Dmpa/kgmp alignment
Us qmsr transition
Delivery efficiency
Team alignment
Product stability
Audit readiness
Scaling hr processes
Early-stage startup hr challenges
Complex sales cycles
Competitive u.s. healthcare market

▲Active Projects

Neuroscience data visualization
Neural signal decoding
Signal source localization
Neuroscience data analysis and modeling ai/ml development
Brain disease predictive modeling
Non-product software validation
Dmpa/kgmp alignment
Supplier quality management
Release readiness and qa processes
Efficient workflows and long-term project management structure

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Healthcare

5

Research

3

HR

2

Engineering

1

Product

1

Quality

1

Sales

1

Seniority

Mid

7

Senior

7

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About LVIS

LVIS is a medical-device software company building neural decoding and visualization technology to diagnose and predict brain diseases. The team combines Stanford neuroscience PhDs and engineers, with dual offices in Palo Alto, California and Seoul, South Korea. Products are architected for healthcare enterprise systems (Epic, Cerner, HL7 integration), positioning them for hospital and research institution deployment. Active development spans signal source localization, predictive modeling for neurological conditions, and regulatory-compliance infrastructure (QA, release readiness, supplier quality management), indicating movement toward FDA-regulated medical-device classification.

HeadquartersPalo Alto, California

Company Size11–50 employees

Hiring MarketsUnited States, South Korea

Frequently Asked Questions

What technology does LVIS use for neural signal analysis?

PyTorch, SciPy, NumPy, and MATLAB form the core stack for data analysis and modeling. Integration layers include Epic Systems and Cerner for EHR connectivity, plus AWS, GCP, and Azure for infrastructure.