Ravenchat

An AI-native customer conversation platform that transformed company knowledge into reliable, real-time support experiences using grounded retrieval and embeddings; I co-founded it in 2024, and it was acquired by FireDev in 2025 .

Problem

Support teams depend on docs, FAQs, and internal knowledge, but this information is rarely organized for real-time customer conversations.

• Knowledge is scattered across sources
• Traditional support workflows require heavy manual effort
• Many AI tools respond without enough context control

The result is inconsistent answers and slower support resolution.

Solution

Ravenchat turns company knowledge into a real-time conversational interface.

• Ingests documents, websites, and structured datasets into a controlled knowledge layer
• Uses retrieval-based context to ground responses in trusted sources instead of open-ended generation
• Embeds chat experiences directly into websites and products with minimal integration friction

This makes trusted knowledge accessible through one conversational layer.

AI implementation details:

• Retrieval-Augmented Generation (RAG) with source-backed context for higher answer reliability
• Embeddings to index and semantically search internal docs, pages, and product knowledge
• Prompt orchestration to enforce tone, boundaries, and response structure in customer-facing channels
• Confidence and context rules to reduce hallucinations and trigger human handoff when needed

My role

Co-Founder.

• Defined product strategy and technical direction for an AI-first support workflow
• Prioritized retrieval-first architecture and controlled knowledge sources as core product principles
• Led decisions that balanced response quality, integration speed, and operational trust in production
• Owned the full infrastructure stack in production, including architecture, deployment, observability, reliability, and cost efficiency

Results

• Built and validated an AI customer interaction layer for real support workflows
• Reduced support overhead on repetitive questions while improving response speed and consistency
• Increased practical use of internal knowledge through grounded, contextual answers in production scenarios
• Acquired by FireDev in 2025 and integrated into their platform

Links

• Details and materials available on request