
Distilligent AI provides Context as a Service (CaaS), positioning itself as the crucial intelligence layer for AI applications. The company addresses the prevalent issue of AI failing due to a lack of context, which impacts a significant portion of AI implementations. Distilligent AI's solution involves 'living context engines' that discover relevant information in real-time, filter out noise, and deliver context with improved accuracy. Their proprietary 'epicness scoring algorithm' helps establish baselines and identify important data. The service aims to transform generic AI into context-aware intelligence, reducing AI errors by up to 70% and improving response accuracy by 320%. It is designed to work seamlessly with major AI models like OpenAI/ChatGPT and Claude, as well as custom AI applications, making AI implementations more effective and intelligent.

Distilligent AI provides Context as a Service (CaaS), positioning itself as the crucial intelligence layer for AI applications. The company addresses the prevalent issue of AI failing due to a lack of context, which impacts a significant portion of AI implementations. Distilligent AI's solution involves 'living context engines' that discover relevant information in real-time, filter out noise, and deliver context with improved accuracy. Their proprietary 'epicness scoring algorithm' helps establish baselines and identify important data. The service aims to transform generic AI into context-aware intelligence, reducing AI errors by up to 70% and improving response accuracy by 320%. It is designed to work seamlessly with major AI models like OpenAI/ChatGPT and Claude, as well as custom AI applications, making AI implementations more effective and intelligent.
Product: Context-as-a-Service (CaaS) providing real-time context discovery and delivery to LLMs and AI systems
Founders: Izza Masud (Founder & CEO) and Daniel Jibouleau (Founder & CTO)
Founded: 2025
Claims: Adaptive hot/warm/cold memory, sub-10ms hot retrieval, API/WebSocket integrations
Reducing AI hallucinations and improving AI accuracy by providing real-time, relevant context to AI models.
2025
Data and Analytics
Total Funding: 15000 USD