Corti sells healthcare-focused AI models through an API, with a stack built for real-time audio: Go, gRPC, WebSockets, WebRTC and Kafka feed inference served on vLLM and Triton. Job posts point to high-scale audio processing for communication centers and AI integration into SIP telephony, while a parallel effort to unify commercial data and automate GTM workflows shows the go-to-market side is being systematized.
Corti develops AI models for healthcare, covering speech recognition, text generation and decision support, delivered to customers through an API. Founded in 2016, the privately held company is headquartered in Brooklyn, New York, and employs 51–200 people. Its engineering runs on Python, PyTorch and TensorFlow for modeling, Kubernetes and Docker for deployment, and spans Azure, AWS and GCP. Current hiring is concentrated in engineering with some marketing, across the United States and Denmark.
Corti uses Go, Python, PyTorch, TensorFlow, Kafka, gRPC, WebRTC, CockroachDB, vLLM and Triton Inference Server, running on Kubernetes across Azure, AWS and GCP, with Grafana, Loki, Tempo and Mimir for observability.
Corti is headquartered in Brooklyn, New York, and also hires in Denmark alongside the United States.
Corti is building a speech recognition and text generation backend, high-scale audio processing for communication centers, a low-latency AI integration pipeline, and an integrated commercial data layer.
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Corti'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.
