What we shipped, what we changed, and what we're announcing across SOPX product and the company.
Signup is now a few clicks faster. Once you're in, invite teammates straight from the welcome flow so the rest of the operations team can open, review, and edit SOPs together right away. Less waiting between sign up and the first published SOP.
SOPX is end-to-end self-serve. Sign up, get 14 days on Pro with 10 AI-generated SOPs and 3 AI translations. When the trial ends, upgrade to a paid plan directly inside the app. No sales call, no contract negotiation, no calendar tag. The full path from first SOP to paying team in one afternoon.
Mark up exactly what an operator should focus on. Drop arrows, rectangles, ellipses, text, and callouts directly on a step's video frame or image. Annotations show on thumbnails by default, and a Detail view reveals the fully annotated key frame. The result: fewer 'wait, which valve?' questions on the floor.
Group people into teams that match your org chart. Grant or restrict access at the workspace or individual SOP level. Production sees production. Maintenance sees maintenance. Sensitive procedures stay scoped to the right people without locking everything else down.
Organize SOPs by department, site, or use case. Workspaces hold related procedures together, folders nest inside for finer structure. Production, maintenance, quality, and onboarding can live side by side without stepping on each other. Teams with 200+ SOPs in a flat list have been asking for this since launch.
Upload any PDF procedure and the AI parses it into a structured digital SOP. Steps, descriptions, and even embedded images and carousels come across automatically. Most teams have years of documentation locked in PDFs. Now those become searchable, translatable, and version-controlled in a few minutes.
AI-generated SOPs are now fully editable. Insert custom steps with single images or image carousels, useful when the camera missed an angle or you want to drop in a reference photo from a manual. Reorder, replace, or delete any step the AI produced. Your edits stay through future re-runs.
Search now spans the entire workspace. Type a part name, a setting, a piece of jargon, and SOPX returns matching SOPs along with the exact steps where the term appears. Useful when an operator needs the right procedure mid-shift, not five minutes of clicking through folders.
Translate any SOP into 50+ languages in seconds. Context-aware AI preserves operational meaning instead of swapping words one for one. Critical for shop floors with mixed-language workforces, and the top request from our user interviews.
Two months of rebuilding paid off. SOPX is live as a self-serve SOP platform. Sign up, record any process on your phone or screen, and the AI returns a structured SOP with steps, descriptions, and trimmed video clips. Share by link or QR code. No sales call, no implementation project. Ready in under 10 minutes.
After 30+ interviews with operations business owners, CEOs, managers, training managers, and plant supervisors, we had enough signal to commit. The verdict was clear: the prototype worked, but the product needed to be self-serve. No demos, no setup projects. Sign up, upload a video, get a SOP. We tore down most of TagPlan AI and started rebuilding from the AI layer up.
Three days in Bilbao at Enlit Europe 2025, in the startup zone. We came to show TagPlan, our field inspection product. The conversations that mattered most ended up being about TagPlan AI, the early SOPX prototype. Utility and manufacturing managers from across Europe asked if they could try it. That pushed SOPX to the front of our roadmap.
PoC ready, we hit the road. Plant tours, engineering departments, production lines. We demoed the early version to business owners, operations and training managers, then sat with them to understand the gap between what we had built and what they actually needed. Honest, sometimes brutal, feedback shaped everything that came next.
We were building TagPlan, a field inspection SaaS. Customers kept asking the same thing: how do we document physical processes without spending weeks on it? After 20+ interviews with utility, field service and manufacturing teams, the gap was obvious. We built a proof of concept and called it TagPlan AI.
