OneGrep
OneGrep is a B2B company based in New York, specializing in engineering, product, and design within the observability sector. It offers solutions that optimize telemetry data, enhance security, and reduce costs for companies.
Company Overview
OneGrep is a B2B company based in New York, NY, operating in the engineering, product, and design sub-industry. The company is part of the Winter 2024 batch of Y-Combinator and serves regions including the United States and Canada. OneGrep is focused on helping fast-moving teams resolve incidents quickly while keeping observability costs down.
Deployment Options and Recommendations
OneGrep offers a managed observability pipeline hosted on behalf of customers, allowing for optimized and secure solutions. For customers with large volumes of telemetry, OneGrep recommends on-prem deployment. This option provides increased security and significant savings on cloud provider costs. The company emphasizes it does not use customer telemetry to train AI models.
Works With Major Observability Providers
OneGrep integrates seamlessly with major observability providers such as DataDog, Dynatrace, NewRelic, and Honeycomb. The service optimizes telemetry before it is sent to these providers, ensuring efficient and cost-effective solutions for clients.
Customer-Centric Features
OneGrep allows each customer to fine-tune a pre-trained model on their own telemetry. This ensures that telemetry data is customized and remains private, not being shared with OneGrep or other customers. The platform uses human-in-the-loop learning to continuously enhance, filter, and optimize observability data.
Benefits and Cost Savings
OneGrep helps companies save money and engineers save time by generating insights to improve the quality of observability data. The service intelligently selects which logs, metrics, or traces to forward to existing providers in real-time, effectively reducing observability bills. Engineers benefit by spending less time writing custom configurations or re-instrumenting old code.