VERTICAL AI APPLICATIONS
We connect agents to equipment, workflows, desktops, and everyday life, so AI can get to work.
AI AGENT DEPLOYMENT
Start with a specific problem, make one complete workflow work, then extend it to more of your operations.
Read real signals from equipment, documents, images, and business systems.
Build industry rules, model capabilities, and safety boundaries into each agent.
Call systems, operate equipment, notify people, and review the results.
Connect equipment, read operating conditions, run strategies, and act on results. Keep data on site and decisions in step with production.
Purpose-built workflows for your desktop, daily content and video production.
Wormhole Pie brings desktop organization, tasks, a knowledge library, virtual pets, and local AI agents into one local-first workbench.
Daily AI Cards connects news discovery, topic selection, visual cards, copy, and platform operations, with human confirmation before publishing.
Jingliu brings scripts, storyboards, start and end frames, video, subtitles, and compositing into one project, so you can review and revise the process.
A shared agent engineering foundation, with each industry's own data, workflows, and decision criteria.
Energy optimization / Edge AI
Project case studyMMU / Beauty guidance assistant
Product in practiceWormhole Pie / Local AI desktop companion
Product in practiceDaily AI Cards / Daily content workbench
Product in practiceJingliu / AI video production workflow
Product in practiceForecasting / Scheduling / Inspection coordination
An area for co-developmentShopping guidance / Content / Service workflows
An area for co-developmentAutomotive plant equipment case study
Edge AI equipment operates near the machinery, collecting data, assessing operating conditions, and recommending optimizations on site to reduce wasted energy.
This range comes from an AI energy-saving retrofit of exhaust-control equipment at an automotive assembly plant, led by our founder during his time at Zhiyan Environment. Actual results depend on production load, process constraints, and equipment condition.
Begin with a problem worth solving, rather than a list of models.
Define the goals, workflows, available data, and boundaries that must be respected.
Connect equipment, knowledge bases, and business software to build a small, complete workflow.
Let agents act within a controlled scope, with human confirmation and a way to roll back.
Use efficiency, quality, energy, or experience measures to decide where to invest next.
A practical introduction to our services, products and approach.
PLANTO AI develops vertical AI applications and agent workflows for industrial edge intelligence, everyday assistance, local desktops, content production and video creation. Work starts with a specific business problem, existing data and system boundaries, then a workflow whose results can be checked.
Start by defining the goal, workflow, data sources and execution boundaries. Then connect devices, knowledge bases or business software and validate a controlled workflow. Keep human approval and fallback options for critical actions, and use efficiency, quality, energy or experience metrics to guide expansion.
Industrial edge AI works close to equipment and production, focusing on protocol integration, operating conditions, energy and maintenance. Desktop AI supports local agents, files, tasks and knowledge libraries. Their data boundaries, execution permissions and success metrics need separate designs.
The website presents the MMU makeup assistant, Wormhole Pie local-first desktop workbench, Daily AI Cards content workbench and Jingliu AI video workflow. Features depend on the individual product and use case. Industrial and lifestyle images are concept visuals; software product images show actual interfaces.
Email [email protected] with the problem you want to solve, your current workflow, available data or equipment, and actions that require human approval. These details provide a starting point for evaluating integration and a pilot workflow.
Start with a discussion of your business use case to assess the data, systems, and practical deployment path.
Discuss your use case
