Botminds AI V11 Launch — LinkedIn Live

This LinkedIn Live session marked the launch of Botminds AI v11, a release focused on two things: cloud-native document automation at enterprise scale, and a faster path from zero to a working model. The headline addition was the Botminds marketplace — dozens of pre-built AI models that give teams a head start on building custom models for their specific documents, instead of starting from a blank slate.

What the session covers

The walkthrough is demo-driven. It shows how v11 extracts data from complex tables — the multi-level, merged-cell financial tables that break naive extraction — and how it handles large volumes of scanned documents where quality varies page to page. It also covers the review workflow: a single review pane where a reviewer inspects document annotations, recommends changes, and feeds corrections back to the model, so accuracy improves with use rather than degrading silently.

The marketplace segment is the practical takeaway for teams evaluating build-versus-buy: start from a pre-built model close to your document type, then adapt it to your specifics, rather than labeling from scratch. For effort-intensive, time-consuming document tasks, that shortens the setup from months to something an operations team can actually schedule.

Speakers

• Vignesh Theyagarajan — Platform Lead, Botminds
• Gokul Ganapathi — Co-Founder & CEO, Botminds
• Vikas Anand — VP, Sales & Marketing, Botminds

Where this release fits

V11 is a milestone in the platform’s history rather than its current state — the review pane, model marketplace, and table extraction shown here have since evolved into the agentic, governed platform Botminds ships today, with 1M+ documents processed and every extraction cited to its source page. Watching the launch is a useful way to see which design decisions were there from the start: humans reviewing model output, corrections feeding back in, and pre-built starting points over blank-slate builds.