Very builds end-to-end AI and IoT solutions across cloud, edge, and device layers. The stack is deliberately heterogeneous: Python + Java backend services sit alongside embedded C/C++ (ESP32, FreeRTOS), React frontends, and Matter protocol integration—reflecting a company solving hardware-software integration problems at scale. Current hiring is 85% engineering with a senior/lead skew, signaling active delivery on complex, multi-domain projects rather than hiring for growth headcount.
Very is a 51–200 person software and AI consulting firm founded in 2011 and headquartered in New York. The company builds AI-powered applications and connected IoT systems for enterprise partners, deploying across cloud (AWS, Azure) and edge/device environments. Their service offering spans data science, machine learning, firmware development (Nerves, Elixir), and full-stack web and mobile (React, React Native). The engineering-heavy org, distributed globally across the US, Canada, Costa Rica, and Colombia, focuses on moving clients from pilot to production in complex, high-risk domains—device certification, interoperability debugging, and real-time data integration.
Backend: Python, Java, Node.js, FastAPI, Django, ASP.NET Core. Frontend: React, React Native, TypeScript, Vite. Embedded: C/C++, ESP32, ESP-IDF, FreeRTOS. Cloud: AWS, Azure. Infrastructure: Docker, Terraform, Pulumi.
Yes. Active projects include Matter-enabled device firmware, OTA updates, device certification, and connected hardware-data integration. Stack includes ESP32, FreeRTOS, C/C++, and protocol work (802.15.4, Wi-Fi).
Very'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.