What is Scoopika?
Scoopika empowers developers with a comprehensive toolkit for building modern LLM-powered web applications. The platform offers seamless integration of multimodal inputs, real-time streaming capabilities, and built-in error recovery systems, all while maintaining robust security through memory encryption and LLM output validation.
Built for global scalability, the platform provides knowledge and memory stores that are served from 26 regions worldwide. Its architecture supports vision capabilities, voice interactions, and structured data generation, making it an ideal solution for developers seeking to create sophisticated AI-powered applications efficiently.
Features
- Real-time Streaming: Stream text & voice responses as they're generated
- Multimodal Processing: Handle text, images, audio, and URL inputs
- Smart Error Recovery: Built-in validation and retry mechanisms
- Knowledge Stores: Edge-served data storage with file and website integration
- Voice Interaction: Process multiple audio files with sub-300ms response time
- Global Scaling: Edge deployment across 26 regions
- LLM Output Validation: Automated validation with retry capabilities
- Memory Management: Serverless encrypted memory stores
Use Cases
- Custom AI assistants for websites
- Multimodal AI-powered search engines
- Data extraction and validation
- Voice-enabled AI applications
- Real-time conversational agents
- Automated data processing systems
FAQs
-
How are LLM costs handled?
Scoopika introduces $0 extra costs to your LLM provider's costs. You only pay for optional premium features. -
What happens when usage limits are reached?
For audio processing, if the fast processing limit is reached, it falls back to slow mode until the next month. -
How are history sessions stored in the Basic & Scale plans?
Basic plan uses serverless managed memory in 1 region, while Scale plan replicates across 4 regions for better performance.
Related Queries
Helpful for people in the following professions
Scoopika Uptime Monitor
Average Uptime
99.91%
Average Response Time
242.73 ms
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