APARAVI

Using an externally hosted model to find the sensitive data in your corpus has a sequencing problem: The data has already left your environment by the time it’s classified. Identify, classify and sanitize in a controlled environment first. Then decide what external AI sees.

Your provider’s settings and contract say sensitive data won’t be used for training. Can you independently verify that? Once data leaves your environment, you’ve moved from verification to trust. Know which one your AI governance actually rests on.

Excluding content from a RAG index doesn't delete it. The AI just can't retrieve it. Before indexing, confirm each source is relevant, current, authoritative and approved for AI use, with sensitive data handled. That is data preparation. It belongs before the index.

Should you put all your enterprise data into RAG? Not necessarily. Duplicates, outdated documents, and drafts can compete with trusted information during retrieval. The goal isn’t more data. It’s getting the right data into your AI’s answers.

Here’s an Instagram-ready caption for Aparavi announcing the whitepaper: 80% of your data is unstructured. Your AI is hungry for it. Your governance? Not so much. We just dropped our new whitepaper: aparavi.com/whitepapers/rein…

Columbus AI Week was a blast. We connected with the community, ran live sessions on PII masking for complex PDFs and our MCP server, and welcomed new users. #ColumbusAIWeek #AI

Smarter Copilot starts with smarter data. From a real M365 deployment: 39TB mapped, 18.4TB ROT removed, 5 role datasets, 2× relevance, 0 exposures. Our blueprint to make Copilot trustworthy → aparavi.com/blog/2025/09/05/… #Copilot #Microsoft365 #DataGovernance #AI

Headed to #ColumbusAIWeek (Sept 9–11). Aparavi: panel + main stage + hands-on workshop. Real workflows: PII-safe data prep, multimodal pipelines (text, images, audio, long docs), and MCP-native “talk to your data.” Bring your questions and come say hi!

Two SF meetups this week. Roan and Mansi from demo trusted RAG and agent workflows with MCP and Langflow. Aug 27 at Convex → hubs.la/Q03FJm5t0 Aug 28 at GitHub → hubs.la/Q03FJdLC0 Come for agents, stay for real data and live builds. #SF #AI #Agents

Data Engineering Summit recap from Silicon Valley. We shared the stage with Zilliz and Pinecone and demoed the Data Toolchain and the Data Suite with Hendrik and Joe. Recap video next week. Follow for updates. #DataEngineering #AI #VectorSearch #RAG #Aparavi

🔥 Tonight in Palo Alto! We’re at the Data Engineering Summit (6–9 PM, 5 Palo Alto Square) for real talk + live demos on the future of data & AI. Catch Hendrik Krack @ Aparavi showing how to tame unstructured data and make it AI-ready ⚡ hubs.la/Q03DMg6Q0

Your data is buried. Aparavi helps you find, clean, and use it. Smart OCR. 1600 file types. One platform. Start free today: hubs.la/Q03yRJr30 #Aparavi #DataSuite #UnstructuredData #DataSecurity #AIReady

Unstructured data is blocking your AI. Organize it. Govern it. Activate it. Explore a complete strategy to prepare content across silos for clean, AI-driven pipelines. Read more: hubs.la/Q03yRTyk0 #AI #UnstructuredData #DataGovernance #Aparavi #DataPipeline

Text isn’t the only thing your AI needs to understand With Aparavi, we make sense of video, audio, and images too Multimodal is not the future It’s the now And we’re putting it to work #Aparavi #MultimodalAI #AIReady #SmartData #GenerativeAI