Nabla vs Grafana Labs
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI clinical copilot. 85K+ clinicians, 130+ organizations. 20M patient interactions/year. Raised $70M Series C. Evolving to Adaptive Agentic Platform. Founded in Paris.
About
Nabla is a Paris-based clinical AI company founded in 2018 with a mission to reduce the documentation burden that is one of the primary drivers of clinician burnout across health systems globally. The company developed an AI clinical copilot that listens to patient-physician conversations and automatically generates structured clinical notes in the background, allowing clinicians to focus entirely on the patient rather than on documentation. Nabla's core technology applies large language models fine-tuned on medical language and SOAP note structure to produce accurate, editable documentation in real time.\n\nNabla's platform serves more than 85,000 clinicians across 130-plus organizations spanning hospitals, ambulatory practices, and digital health providers. It has facilitated over 20 million patient interactions per year, making it one of the highest-volume ambient AI documentation platforms in the market. The product supports more than 45 medical specialties, with specialty-specific note templates that reflect the distinct documentation requirements of fields ranging from psychiatry to orthopedics. Nabla is evolving its platform toward an Adaptive Agentic architecture, enabling the AI to take actions beyond note-taking — such as ordering follow-ups, drafting referrals, and surfacing clinical decision support.\n\nNabla raised a $70 million Series C to fund US expansion and platform development, following strong adoption in the European market. The company competes in the ambient clinical documentation space alongside Nuance DAX, Suki, and Abridge, but differentiates through its European regulatory expertise, multi-specialty coverage, and its strategic shift toward a full agentic clinical platform. With 20 million annual patient interactions and a clear product roadmap toward autonomous clinical workflow automation, Nabla is well positioned to grow into a broader clinical AI infrastructure role.
Open-source observability leader with $6B valuation; Grafana dashboards plus Loki/Tempo/Mimir stack serving millions of installations as Datadog alternative with community-driven adoption.
About
Grafana Labs is the company behind Grafana — the world's most widely used open-source observability and data visualization platform — providing the Grafana Cloud managed service, Grafana Enterprise, and a suite of open-source tools including Loki (log aggregation), Tempo (distributed tracing), and Mimir (long-term Prometheus metrics storage). Founded in 2019 by Raj Dutt, Torkel Ödegaard, and Tom Wilkie (the creators of the original Grafana open-source project) in New York, Grafana Labs has raised over $600 million at a $6 billion valuation.\n\nGrafana's open-source project — downloadable and self-hostable for free — has driven extraordinary community adoption: millions of Grafana installations globally power engineering, IoT, and business dashboards at organizations from startups to large enterprises. Grafana's plugin ecosystem connects to 200+ data sources (Prometheus, InfluxDB, Elasticsearch, AWS CloudWatch, databases), making it the universal observability visualization layer. Grafana Cloud packages the open-source tools into a fully managed SaaS offering with unlimited metrics, logs, traces, and dashboards.\n\nIn 2025, Grafana Labs competes in the observability platform market against Datadog, New Relic, Dynatrace, and the ELK/OpenSearch stack for enterprise monitoring and observability. Grafana's open-source-first model creates a moat through developer community and ecosystem — engineers who build personal dashboards on Grafana become advocates for Grafana Cloud at their employers. The company's OpenTelemetry alignment and multi-source data philosophy ("query any data, anywhere") differentiates it from Datadog's monolithic agent model. The 2025 strategy focuses on growing Grafana Cloud enterprise adoption, advancing AI-powered Sift (automatic anomaly investigation), and expanding the Grafana IRM (incident response management) product.
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