Funding
Funding not disclosed
Founders
Product
Problem
Choosing the right AI model for a given workload is time‑consuming because performance data—such as accuracy, latency, and cost—are scattered across multiple provider documentation and benchmarks, requiring manual collection and comparison.
Solution
Sooko provides a web‑based platform that consolidates performance metrics from major AI model providers into a single searchable interface. Users can select models and view side‑by‑side comparisons across key dimensions like inference accuracy, latency, and estimated operational cost. The platform normalizes data to enable direct, apples‑to‑apples evaluation, allowing developers and businesses to quickly identify the most suitable model for their specific use case. Interactive filters and ranking tools further streamline the selection process, reducing the time spent on experimentation and model testing.
Target Audience
Primary users are machine‑learning engineers, data scientists, and product teams who need to evaluate and select AI models for deployment in applications or services.
Features
- Unified dashboard aggregating benchmark data from leading AI model providers
- Side‑by‑side comparison tables displaying accuracy, latency, and cost metrics
- Normalization engine that standardizes disparate benchmark results for fair evaluation
- Filter and sorting options for model type, provider, hardware target, and performance thresholds
- Exportable comparison reports in CSV or PDF for documentation and stakeholder review