Verneek is a 3-year-old AI startup building knowledge-augmentation tools, operating lean at 2–10 people with active hiring across engineering, sales, and research. The stack spans full-stack web (TypeScript, React, Next.js) plus deep-learning infrastructure (PyTorch, AWS/GCP/Azure), suggesting production-grade model deployment rather than prototype-stage work. Current hiring velocity is accelerating across technical roles, indicating either customer traction or pre-launch runway spend.
Verneek builds AI systems designed to augment human knowledge in consumer and workplace contexts. The company operates from Greater New York City as a privately held startup founded in 2021. Their platform work centers on complex NLP models, backend services for deployment, and client-side integrations. The team is actively hiring for engineering, sales, and research roles, with distributed seniority levels suggesting both senior technical direction and early-career execution capacity. They currently face an operational shift toward AI-native workflows internally.
Verneek uses TypeScript, React, Next.js, and Jest for frontend; Go and Python (PyTorch) for backend and ML; Docker and Kubernetes for infrastructure; AWS, GCP, and Azure for cloud; Figma for design; HubSpot and Salesforce for sales operations.
Verneek is developing complex AI/NLP models for its platform, building backend services for deployment, integrating the platform into client tech stacks, monitoring model performance and user engagement, and conducting fundamental AI research.
Verneek's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.