Proxima vs Grafana Labs
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI drug discovery for protein-protein interactions; raised $80M seed from DCVC and NVIDIA (Jan 2026); oncology and neurodegeneration focus; opens class of previously undruggable targets
About
Proxima is an AI-driven drug discovery company focused on proteins that control critical biological interactions — specifically targeting protein-protein interactions (PPIs) that have historically been considered undruggable. Founded by researchers with backgrounds in structural biology, machine learning, and medicinal chemistry, Proxima uses AI to design novel therapeutics that can modulate these complex binding interfaces, opening up a vast new class of drug targets for conditions ranging from cancer to neurodegeneration.\n\nThe company's platform integrates protein structure prediction, generative molecular design, and experimental validation in a tightly coupled loop. By leveraging AI models trained on structural and interaction data, Proxima can propose drug candidates targeting previously inaccessible sites on proteins. This approach is particularly relevant for oncology and immunology, where many of the most important biological pathways are mediated by protein complexes that small molecules have struggled to disrupt.\n\nProxima raised an $80M seed round backed by DCVC and NVIDIA in January 2026, one of the largest seed rounds in biotech history. NVIDIA's involvement underscores the computational intensity of the platform and the strategic value of GPU infrastructure partnerships in AI drug discovery. The company is pre-clinical but is building a pipeline of candidates targeting high-value undruggable proteins, with the $80M runway intended to advance multiple programs toward IND filings.
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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