Ownlayer provides a platform for evaluating, monitoring, and self-optimizing deployed AI models. The service offers product analytics for GenAI features and tools to curate proprietary datasets from production logs. This enables teams to gain insights, automate configuration improvements, and ensure reliable AI performance.
Funding
Funding not disclosed
Founders
Product
Problem
Developing and deploying AI applications requires continuous evaluation and optimization to ensure performance, compliance, and alignment with user behavior. Existing methods often rely on manual processes and guesswork, leading to inefficiencies and suboptimal results.
Solution
Ownlayer provides an intelligent infrastructure platform designed to streamline the evaluation, monitoring, and optimization of AI systems. The platform automates prompt engineering and configuration optimization using performance metrics and real-world examples. It enables teams to build proprietary datasets from production logs, facilitating configuration optimization, feature testing, and model training. By integrating with existing analytics stacks, Ownlayer delivers real-time insights into user interactions, allowing for data-backed decisions and continuous improvement of AI-powered features.
Target Audience
Ownlayer targets AI product teams, including engineers, data scientists, and product managers, who need to evaluate, monitor, and optimize their AI applications for performance, compliance, and user satisfaction.
Features
- Prebuilt evaluators aligned with industry benchmarks for rapid deployment
- Customizable evaluator sandbox for building and testing unique evaluation criteria
- Smart triggers to initiate evaluations based on relevant data tags
- Automated prompt creation and optimization for enhanced AI performance
- Advanced parameter search techniques for identifying optimal configurations
- Product analytics for GenAI, providing insights into user topics, sentiments, and emotions
- Seamless integration with existing product analytics tools via API
- Automated dataset curation from production logs, CSV uploads, or synthetic data