bundleIQ vs Boba

bundleIQ turns scattered files, emails, video, and audio into cited answers through Alani, its persistent knowledge agent. The company sells three products: Alani Hub for personal research files, Alani Connect for conference and association communities, and Alani Insights for team workflows on structured data.

Most research assistants reset between sessions and summarize documents without pointing back to exact sources. bundleIQ's angle is persistent memory with citations down to the page, paragraph, or minute, plus parsing for video and audio that many chat-first tools skip. You can also pick your LLM on Alani Hub, including GPT-5, Claude, Gemini, and Grok, instead of being locked to one vendor.

Researchers, analysts, policy teams, and conference organizers use bundleIQ to interrogate large document libraries, run year-round communities around event content, and build agent workflows on company data. The site lists Fortune 500 customers including Ford, Cox Enterprises, and Concordia, and bundleIQ holds patent US12277125B2 for its content analysis engine.

Boba helps strategy and innovation teams run qualitative research, future scenarios, and storyboards from one workspace. You ask research questions, Boba searches the web for articles and news, summarizes earnings calls, and lets you dig deeper on signals before you move into ideation.

Most research chatbots stop at a bullet summary. Boba is wired for generative ideation workflows: scenario building from strategic prompts, Playing to Win strategy choices, and illustrated storyboards you can generate directly from those scenarios. That chain from research signal to narrative artifact is what sets it apart from general-purpose search assistants.

It fits consultants, product strategists, and innovation teams doing foresight work. The site describes Boba as an experiment by Thoughtworks with login for existing users and a waitlist for new access.