Context.ai is a powerful business tool that serves as an ecosystem partner for Google Gemini, ensuring that Large Language Models (LLMs) in your product behave as expected. With Context.ai, you can conduct pre-launch evaluations and post-launch analytics to understand and improve how LLMs are utilized in your application.
The tool offers comprehensive performance monitoring, allowing you to build confidence in your LLM application before launch and ensure its readiness for real-world usage. By testing and measuring your LLM for accuracy, bias, and more, you can be confident in the quality of your product.
Context.ai supports LLMs from major providers such as OpenAI, Anthropic, Google, and Meta. You can create test cases of representative LLM inputs, experiment in a playground environment, and migrate to test sets for rigorous evaluation. Evaluate quality based on criteria that matter to you by running simulated user queries and comparing performance across iterations.
In production, Context.ai helps you understand and improve user experiences by quickly ingesting transcripts, grouping conversations by topic, and pinpointing and resolving poor experiences. By analyzing conversation transcripts and filtering by user ratings and sentiment, you can gain insights into user behavior patterns and improve their experiences.
For enterprise users, Context.ai offers trust and security with SOC 2 Type II compliance and a self-hosted deployment option for strict data residency requirements. This ensures that your data is handled with the highest levels of security and confidentiality.
Overall, Context.ai is a versatile and valuable business tool that empowers you to effectively monitor, evaluate, and improve the performance of LLM-powered products in your organization. With its comprehensive features and robust security measures, Context.ai is a trusted partner for businesses looking to optimize their use of LLM technology.
ContextAi – Features
Measure & Improve LLM Product Performance
Build LLM Products with Comprehensive Performance Monitoring
Establish and Maintain Quality in LLM Powered Products
Evaluate Quality on Criteria that Matter to You
Perform Rigorous Comparison Across Iterations
Ingest Transcripts to Context.ai in less than 30 minutes
Group Conversations by Topic
Pinpoint and Resolve Poor Experiences
ContextAi – Pricing
Basic plan priced at $100/month or $1000/year with up to 10,000 messages/month, Growth plan at $500/month or $5000/year with up to 100,000 messages/month, Enterprise plan is custom priced with unlimited volumes/seats, self-hosted deployment, and White-label/Embedded Analytics. Free plan available with limited features.
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