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Grain Yield Increase and Disaster Reduction by “Fen long” Technology Invented in China Contributing to Improve the Better Future of Human Being

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Editor’s Note:

In recent years, natural disasters such as drought and waterlogging occur frequently. Climate warming has triggered various disasters that affect existence, which has brought unprecedented challenges to grain production, ecological environment and world peace maintenance. “Fen long” technology, the new method of farming invented by Wei Benhui, the Chinese inventor, can help to solve these problems in the world to a certain extent and make the human future better by multiple using “5 kinds of resources”, soil and its cubic natural rainfall, oxygen, temperature, humidity and solar energy.

In August 2021, the yield of highland barley in the saline-alkali soil, which was transformed by “smash-ridging” technology in Zangzhong Village, Zhaqi Town, Zhanang County, Shannan City, Tibet, China, the roof of the world, increased by 38.67%. The highland barley yield of smash ridging sand soil farmland in Kemai Community, Changzhu Township, Naidong District, increased by 1121.73 kg, with 25.43% of increase range, and the straw yield also increased by more than 20%. Peng Xinhua, the researcher of Nanjing Institute of Soil Science, Chinese Academy of Sciences has implemented smash-ridging sweet potato experiment in Jiangxi Province, and the result was that the yield increased by 89% to 117%. The maximum production increase of wheat of heavy coast saline-alkali soil in Dongying City, Shandong Province was 154.22% after being transformed by “smash-ridging” technology. The production increase of cotton of heavy saline-alkali soil in Yuli County, Xinjiang Autonomous Region was yet 81.17% in the fourth year after being transformed by “smash-ridging” technology. Over the past decade, “smash-ridging” technology was applied to nearly 50 kinds of crops such as rice, corn and wheat in 28 provinces such as Guangxi and Xinjiang, and no more rich water, pesticide or other production costs was required while the production increase was generally 10% to 50%, the quality was improved by 5% and the increase production in saline-alkali soil was 20% to 100% after transformation. Experts estimated that, the natural disaster such as waterlogging, drought, high temperature and low temperature may be reduced by more than 20%, and soil environment improvement,and crop biomass increase will reduce carbon by more than 10% and increase  ground air humidity by 10%.

Invented by Wei Benhui from Guangxi Academy of Agricultural Sciences, “smash-ridging” technology is a major new method of farming, which can realize a new round of production increase, quality improvement, water conservation, disaster reduction, carbon reduction and sustainable development of agriculture and contribute to widen the space of human existence and development.

In March 2021, “smash-ridging” technology was shown on the world’s No. 1 screen in Times Square, which stated that the smash ridging agricultural machinery and smash ridging farming that would not mess the soil layers for ultra deep ploughing had broken through worldwide problems such as “physical” production increase of agriculture and physical transformation of saline-alkali soil. “Smash-ridging” technology which has shocked the world is common technology, common welfare and common wealth of all mankind.

The advert of “smash-ridging” technology marks that the world has ushered in a very rare new agricultural revolution. The technology is simple, widely applied and sustainable for hundreds of years. It has realized increase of grain production and decrease of disaster to benefit human being.

1. Creating subversive fifth farming mode, which is worldwide used

“Smash-ridging” technology is named after vertical burying, high-speed rotary-cut smash soil, ridge and suspend by using spiral, hollow and other “drill” farming tools invented by Wei Benhui, instead of the “plow” which has been used for 5,500 years. “Smash-ridging” technology has become the fifth efficient farming mode after slash-and-burn cultivation, man power, animal power and tractor ploughing in the history of human farming. “Smash-ridging” technology structured “smash-ridging agriculture” technology system that matches smash-ridging agricultural machinery, smash-ridging farming and smash-ridging cultivation and overturned traditional farming way and agricultural production technical philosophy by using the scientific concept of “ultra deep ploughing and deep loosening the soil without messing the soil layers”. The worldwide universal technology expands the space for human existence and development, and its scientific connotation and characteristics are as below:

First of all, fully excavate natural resource utilization that the earth feeds human being. With 5 kinds of natural resources, soil, the grain producer which the mankind survives on, natural rainfall, oxygen, temperature and humidity and solar energy, once more multiple positive utilization can be realized on the basis of existent farming and agricultural utilization to promote a new round of agricultural production increase, quality improvement, water conservation, disaster reduction, carbon drop and sustainable development.

Secondly, trigger deepening utilization of the surface soil of earth with a light force. Loosened soil increases several times over., and most of soil is granular, and granular structure surface is smooth. Unit weight decreases by 10% to 20%, and available nutrient increases by 10% to 30%. Basic fertility improves by 10% to 30%, and applying quantity of chemical fertilizer for planting crop can reduce by more than 10%.

Thirdly, create cultivated land reservoir with loosened soil and expanded volume. Natural rainfall reserves approximately double, which provides conditions for human being to utilize rainwater and snow water again. Soil porosity enlarges approximately and oxygen increase approximately by one time. Soil microbial community and quantity increase by almost multiple times.

Fourthly, create soil ecological environment that is suitable for crop growth. Smash ridging cultivation requires soil ecological environment with balanced water, fertilizer, gas and heat. The crop takes roots in the earlier stage, strengthens in the medium stage and becomes powerful in the later stage. It features production increase and quality improvement with resistant to drought, high and low temperature. The root system is particularly developed with fibrous root increasing and activity strengthening. The photosynthetic efficiency improves by 10% to 30%, and the stress resistance such as drought and high and low temperature improves by approximately 20%, while  biomass increases by 20% to 30%.

Fifthly, create suitable environment for crops based on ecological conditions in which high agricultural yield is still available and consumption of agricultural “chemicals” is achievable even the consumption of fertilizer and pesticide can be reduced by more than 10% and some plastic mulch can be reduced. Some of polluted soil can be “purified itself”. For example, reduction of heavy metal pollution (reduction of cadmium content of rice) is a physical effect that other chemical means can hardly match.

Sixthly, realize no ecological area or crop variety limit. Almost all crops and some traditional Chinese medicinal materials in rice field, dry land and even saline-alkali soil can be applied to from Hainan Province at low latitude (18°N) to Xinjiang and Heilongjiang at high latitude (45° to 50°N), from Beihai of Guangxi at low altitude (10 to 15 metres) to Shigatse of Tibet at high altitude (over 4,000 metres), which indicates that there is no obvious limit on ecological area or crop variety, and it can be generally used in the world.

2. Application in China’s cultivated land and saline-alkali soil in 2021, with outstanding results

Test on smash ridging has been implemented in many places of China, and the result showed that comparing with traditional cultivation, the yield of rice increased by 15.5%, that of corn increased by 12.26%, and that of peanut increased by 8.05% with no fertilization.

“Smash ridging” technology has been applied to 50 kinds of crops such as rice, corn, wheat and potato in 28 provinces all over China for more than a decade, and production increase achieved 10% to 50%, and production increase in saline-alkali soil after being transformed achieved 20% to 100% with no increasing fertilization or irrigation volume. There are many cases of production increase in various places. In Yuanjiang City of Hunan Province, yield of smash ridging rice increased by 26.5% in that year, and it still increased by 12% in the fourth year after the first smash ridging cultivation. The yield of smash ridging wheat in Fuping, Shaanxi Province increased by 29.9%, and that of the second crop of corn increased by 34.89%. The average production increase of rained farming sugarcane was 32.5%.

In 2021, the cases of production increase with “smash-ridging” technology occurred frequently, and the results are outstanding.

Firstly, rice production continuously increases with “smash-ridging” technology. Yaoguao Town, Longhui County, Hunan Province used to be the breakthrough point where Academician Yuan Longping’s hybrid rice yields reached 900 kg per mu. In April 2014, “smash-ridging” cultivation was implemented, and the yield of hybrid rice increased by 25% in that year. It has been the 8th year since “smash ridging” technology was implemented, but the yield of hybrid rice is expected to increase by 10% or so. The yield of second crop of rice after rice smash ridging was implemented in Yongan Village, Shifu Town, Nanning City, Guangxi Autonomous Region increased by 9.5%.

Secondly, smash ridging water conservation and continuous high yield lasted for many years. In 2021, the third year after “smash-ridging” technology was implemented in Yanshan, Cangzhou City, Hebei Province, the yield of wheat with water conservation increased by 18% with irrigation reduction by nearly 2,000 cubic metres per hectare. In 2021, the sixth year after “smash-ridging” technology was implemented in Fanjiazhai Village, Guyang Town, Lankao County, Henan Province, the yield of wheat increased by 10.3%.

Thirdly, “smash-ridging” agriculture and saline alkali soil transformation in highland region. As previous statement, the yield of highland barley of saline alkali soil in Tibet, the roof of the world, increased by 38.67%, that of highland barley of sand soil cultivated land with “smash-ridging” technology increased by 25.43%, that of highland barley straw increased by more than 20%, which can effectively solve the problem of lack of grain and feed in Tibet.

Fourthly, the history of high yield of sugarcane in a large area with “smash-ridging” technology was made. “Smash-ridging” technology “145” demonstration base for planting sugarcane was built in Guangxi Academy of Agricultural Sciences. On March 6, 2021, upon experts’ acceptance, it increased by 38.3% than conventional cultivation. “Smash-ridging” technology “145” demonstration in Binyang of Guangxi, is expected to make history of green ecological high yield of sugarcane in a large area with entire mechanization to bring a sample for China’s and the world’s sugarcane planting technology.

3. Increasing grain yield and decreasing disaster by conforming to the nature, and all the mankind getting a better future

The best living quality and survival and development environment with abundant and tasteful food, fresh air and visible blue sky and cloud are mankind’s good wishes.

The earth is endowed with 5 kinds of inexhaustible natural resources, soil and its stereoscopic spatial natural rainfall, oxygen, temperature and humidity and solar energy. Soil is the “producer” of grain and other agricultural products the human being survives on and the “regulator” of natural environment to relieve drought, waterlogging and other natural disasters. In order to realize the above dreams, human being has to profoundly comprehend and properly utilize the “5 kinds of natural resources”, which is the fundamental obedience to the rules of resource utilization for mankind’s survival. For a country, the more proper utilization rate of “the 5 kinds of natural resources” of the stereoscopic space, the more secure grain and ecology in the country, the more fortunate of national life, which is also in this way for all the world and all the mankind.

The core of “smash-ridging” technology is to multiply sound utilization of the above “5 kinds of natural resources”. Its pioneering scientific contribution is based on the principle of “ultra deep cultivation and deep loosening (by utilizing the soil resources of plough sole which human being has not utilized yet), loosening soil at original site, granular soil, once off completion of soil preparation., and no tillage or light tillage for conservation tillage for years”. Meanwhile, “smash-ridging” technology is almost applied to various land resources including cultivated land and saline alkali soil so that agricultural available resources have expanded substantially. Furthermore, yield increase can be maintained with properly reducing fertilization. Additionally, it is easy to popularize and apply, and it is merely to replace tractor “plough” cultivation with smash ridging “drill”. Rice field is 25 cm deep, and dry land is 35 cm deep, and saline alkali soil is 40 cm deep. Expected effect is achievable with no excessive input or technical instruction required.

Wei Benhui said that invention of spiral and hollow “drill” tillage implements would certainly bring a major change of tillage implements and modernization of series products of smash ridging agricultural machinery equipment. The world will usher in great new times of “smash-ridging agriculture”.

According to expert’s estimates, if 1 billion mu of farmland and 300 million saline alkali land are cultivated in China, 130 billion kg of grain can be increased every year and 300 to 400 million more people can be fed. If land “smash-ridging” technology is implemented in 50% of farmland in the world, yield of grain can be increased and more people can be fed.

With “smash-ridging” technology, 40 to 50 cubic metres of natural rainfall reserve can be increased for cultivated land per mu, and drought, waterlogging and other disasters can be reduced. Recently, heavy waterlogging occurred in Henan Province. Because light tillage is carried out in most of cultivate land (most of loosened soil of plough layer is 12 to 15 cm), the soil of button layer is compacted and moves upward due to rolling by tractor wheels for years. Adding the road extension and ground hardening in the villages, there is no more place for water reservation. If “smash ridging” technology is implemented in half of cultivated land, such affect of rainstorm can be reduced greatly. Also, with improving smash ridging soil environment and significant increasing crop biomass, the goals including carbon reduction, peak carbon dioxide emissions and carbon neutralization can be achieved early, and global warming can be relived greatly.

“Smash-ridging agriculture” and its entire production technology system invented and created by Wei Benhui have surpassed the existent agricultural production mode and have been affirmed and supported by Yuan Longping and other more than 10 Chinese academicians. The technology system has been practiced to almost all crop varieties from low latitude to high latitude and from low altitude to high altitude. It can be popularized globally and is expected to be a new mainstream technology in the world to lead the trend of agricultural cultivation development. The future will be better for all mankind. (Written by Heng Yi)

[Character Introduction]

Wei Benhui, the inventor of “smash-ridging” technology, Chinese cultivation expert, secondary researcher of Guangxi Academy of Agricultural Sciences, has acquired 21 achievements in sugarcane, Chinese yam, potato, cassava and “smash-ridging” technology, 18 national, provincial and ministerial awards, 15 invention patents. He has bred 26 new varieties of Chinese yam. Additionally, he has published 10 works such as China’s Ecology for Grain Increase with Smash Ridging Alive Soil and Chinese Yam Cultivation as well as more than 170 papers. He has won the titles of National Outstanding Scientific and Technological Worker of China, Special Allowance Expert of the State Council, Guangxi Excellent Expert, Guangxi Outstanding Contribution Expert, Guangxi Most Beautiful Scientific and Technological worker, etc.

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Eric Kalin Highlights Why AI Readiness Starts With a Strong Data Foundation

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Alpharetta, Georgia, November 9th, 2026, ZEX PR WIRE,

As businesses move from AI experiments to systems that can take action, global technology executive Eric Kalin says the data beneath them deserves more attention.

Businesses are moving quickly from experimenting with generative artificial intelligence to exploring agentic systems that can participate in workflows and take action. Eric Kalin believes that shift is making an older enterprise challenge newly important: understanding the data those systems rely on.

Eric Kalin

After years of cloud adoption, application growth, system changes, and business expansion, enterprise information rarely sits neatly in one place. It can be spread across departments, databases, older systems, and multiple cloud environments. Some information may be current and well managed. Other data may be duplicated, outdated, difficult to access, or subject to different security requirements.

For Kalin, that means the conversation about AI readiness increasingly needs to become a conversation about data readiness.

“There is a tendency to start with what the AI can do,” Kalin said. “I think you also have to ask what you’re giving it to work with. Where did that information come from? Can you trust it? Is the system supposed to have access to it? Those questions become even more important when AI moves from generating an answer to taking an action.” Kalin has more than 25 years of experience across enterprise technology, cloud computing, data, consulting, sales, and business transformation. His career includes leadership roles at IBM, Accenture, Amazon Web Services, Microsoft, and Oracle. That experience has allowed him to see how enterprise technology environments have become more powerful while also becoming more complex.

Having More Data Does Not Mean Being Ready for AI

Organizations today can collect and retain enormous amounts of information. Kalin argues that volume alone says little about whether that information can support an AI application.

“Having more data doesn’t make you more ready for AI,” Kalin said. “Understanding your data does.” Before scaling an AI initiative, organizations may need to determine where relevant information is stored, how current it is, whether different systems agree with one another, and who is responsible for maintaining it.

The challenge becomes particularly important when information about the same customer, product, transaction, or business process exists in several places.

A sales team, for example, may work from one set of customer information while finance and operations rely on different systems. Each system may serve its purpose well, but an AI application attempting to work across the organization may encounter conflicting or incomplete information.

Kalin believes these situations illustrate why AI cannot be separated from the wider technology environment in which it operates.

Multicloud Environments Add Another Layer

The growth of cloud computing has given businesses greater flexibility in how they build and operate technology. It has also contributed to environments where applications and data may be distributed across different platforms.

For organizations operating across multiple clouds, the challenge is not necessarily to bring every piece of information into one location. It is to understand how information moves, which systems should be able to use it, and what controls need to follow it.

Kalin’s career has included extensive experience with cloud technology and global enterprise customers. He believes the same practical thinking that became important as cloud adoption matured is now becoming relevant to AI.

“Eventually, every major technology conversation gets more practical,” Kalin said. “You move from asking what is possible to asking how it actually works inside your organization. With AI, data is a big part of that second question.” That includes understanding which information matters for a particular AI application, rather than assuming every available source needs to be connected.

Agentic AI Raises the Stakes

Data quality and access already matter when generative AI is being used to summarize information, answer questions, or assist employees. Agentic AI adds another consideration because systems may increasingly participate in workflows and take action.

“With generative AI, you might be concerned about an inaccurate answer,” Kalin said. “With an agent participating in a workflow, you also have to think about what happens after that answer. What can the system access? What is it allowed to change? When does a person need to approve an action? The data and governance questions become very practical very quickly.” This is where security, permissions, and ownership become closely connected to data quality.

Making information available to AI does not mean making everything available without restriction. Organizations still need to determine who owns sensitive information, which systems can access it, and where human review remains necessary.

Kalin believes those decisions should involve more than technology teams alone. Business leaders often understand how information is actually used. Security teams understand the risks surrounding access. Data teams understand quality and structure. Bringing those perspectives together can help uncover problems before an AI application is widely deployed.

Perfect Data Is Not the Goal

Kalin also cautions against interpreting data readiness as a requirement to solve every information problem before experimenting with AI.

Few large organizations have perfectly organized data. Waiting for perfection can create its own barriers to progress.

Instead, early AI projects can help businesses identify which data issues actually matter for a specific use case.

“You don’t need to fix every piece of data in the company before you start,” Kalin said. “You need to understand the data that matters for what you’re trying to accomplish. Start there, learn from it, and build from what you find.” That approach keeps the focus on a defined business need rather than attempting a massive data project with no clear connection to an outcome.

As companies move from AI experimentation toward broader use of generative and agentic systems, Kalin expects questions about data quality, access, security, and governance to become harder to separate from the AI conversation itself.

The organizations with the largest amounts of information will not automatically be the ones best positioned to use AI effectively. Understanding what that information means, where it lives, how reliable it is, and how to use it responsibly may prove just as important as the AI technology placed on top of it.

Eric Kalin is a global business leader and technology executive with more than 25 years of experience across enterprise technology, cloud computing, data, artificial intelligence, consulting, sales, and business transformation. His career includes leadership roles at Oracle, Microsoft, Amazon Web Services, Accenture, and IBM. Based in Alpharetta, Georgia, Kalin has worked with global organizations and cross-functional teams throughout major periods of change in enterprise technology. His interests include data platforms, generative and agentic AI, multicloud environments, business strategy, and the connection between emerging technology and practical business needs.

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Chad Choat Lists the Warning Signs Families Miss When Picking Home Health Care

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Claremore, OK, USA – November 9th, 2026, ZEX PR WIRE – Chad Choat has spent decades inside the home health industry in Oklahoma, first joining the family business in 1995 and later buying it from his mother in 2010. In that time, he has watched families make a hard decision under pressure, often right after a hospital discharge, with little time to compare providers.

“Most families are not trying to cut corners,” Choat says. “They are tired, scared, and doing this for the first time. They take the first name a discharge planner hands them.”

He says that rush is understandable. It is also where a few warning signs get overlooked.

Oklahoma requires a licensed administrator to run a home care agency. Choat holds that license himself and says it is the first thing a family should ask about, not the last.

“If an agency cannot tell you plainly who their licensed administrator is, that is worth pausing on,” he says. “It is a simple question. It should have a simple answer.”

Community Home Health runs on a fully integrated electronic medical record system. Choat says that matters less for the technology itself and more for what it prevents: a nurse, a doctor, and a family member working off different versions of the same patient’s care.

“When an agency still runs on paper charts and phone tag, information gets lost between visits,” he says. “Families should ask how the agency keeps everyone on the same page, not just whether someone shows up on schedule.”

Medicare tracks outcomes across home health agencies nationally, and Choat points to that as a tool families rarely use. Community Home Health is ranked in the top 1 percent of agencies in the country by that measure, and he says any agency should be able to point to where it stands.

“Ask how an agency’s outcomes compare to others, not just how they describe themselves,” Choat says. “Medicare publishes that data. A family does not have to take anyone’s word for it.”

Choat says the clearest sign of trouble is often the quietest one: a family that only hears from an agency when something goes wrong.

“Care should not feel like a black box,” he says. “If weeks go by and nobody has called to check in, that is a sign the communication is not where it should be.”

He says this is also where he sees agencies lean on new tools the wrong way. Community Home Health has moved further into AI-based tools for scheduling and coordination, but Choat is clear that technology is meant to free up time for people, not replace the conversation.

“A tool should make it easier for a nurse to call a family back faster,” he says. “If it is doing the opposite, something is backwards.”

Choat’s advice to families comes down to a short list of direct questions: who is the licensed administrator, how does the agency track and share records, how do its outcomes compare nationally, and how often will someone actually call.

“None of these are complicated questions,” he says. “But they are the ones that tell you the most.”

He says families who ask them early tend to have an easier time later, when care decisions often have to happen fast.

To read more, visit the website here.

Chad Choat is the owner and president of Community Home Health, based in Claremore, Oklahoma. He joined the company in 1995 and purchased it from his mother, the company’s founder, in 2010. He holds a state-issued license as a home care administrator and previously taught high school vocational agriculture. Choat also served on the Claremore City Council from 1998 to 2003 and has been involved in statewide political campaigns across Oklahoma.

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Altegio Announces Open Platform Connecting Beauty and Wellness Businesses With AI Agents at Web Summit 2026

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Budapest, Hungary, November 9th, 2026, FinanceWire

At Web Summit 2026 in Lisbon, taking place November 9–12, Altegio will announce the launch of its new open platform designed to connect beauty and wellness businesses with AI assistants and enable the development of custom AI agents, integrations, and tools built on business data. The announcement marks the introduction of a platform that brings together AI connectivity and developer infrastructure for the beauty and wellness sector.

The role of SaaS is changing 

AI assistants are becoming a common tool in everyday work. To provide truly useful answers and support business operations, however, they need access to a company’s own data. A beauty salon, for example, stores this data in its management system covering bookings, visit history, payments, salaries and inventory levels.

This is changing the role of software as a service (SaaS) products like Altegio. Once used primarily by front-desk staff, these products are now becoming systems of record that hold all the key information about a business and connect to AI agents and partner services.

Altegio handles 5.5 million bookings every month. Companies on the platform generate a combined turnover of over €100 mln a month, and more than 100,000 specialists access it every day. All this activity generates millions of records that feed into analytics and reports. This real business data can now be available to the user’s AI assistant and partner integrations, but only within the limits set by the business owner. 

Explore business data with a familiar AI assistant

Altegio’s MCP servers are built on the Model Context Protocol (MCP), an open standard that lets AI assistants connect to external services. As a result, business owners no longer need to spend time looking for a specific report or setting up data filters. Instead, they can find the relevant data by asking the assistant simple questions:

– “Which clients haven’t visited in over 90 days?” The assistant uses visit history to build a list of those clients for the next marketing message.

– “Move Anna’s appointment to 3 p.m. with Maria.” The assistant checks the booking calendar for an available time slot and suggests the change. 

– “How did revenue change this month, and which services grew?” The assistant compares the two periods and breaks revenue down by service and by employee. 

Setup takes three steps, with no coding required. Just copy the connection address, add it to your assistant as a custom connector and approve access in your browser. Available features vary by assistant and subscription plan. Assistants with voice support also let users ask questions aloud. In ChatGPT, for example, voice commands use the same MCP connection.

Six MCP apps for different tasks: 

  • Altegio Pro MCP: Manage bookings, staff, services, work schedules, clients and location settings. 
  • Altegio Pro MCP (read-only): Receive analytics and answers about the business without being able to change anything. This suits professionals who need to view information but not edit it, such as a consultant, a receptionist or an accountant. 
  • Altegio Analytics Agent: Get answers about revenue, clients and team workload inside Altegio itself. 
  • Altegio Knowledge MCP: Ask questions in plain language and get straightforward answers from Altegio’s official help center, with links to relevant articles.
  • Altegio Integrations Hub MCP (for developers): Plan, build and test an Altegio integration from Cursor or Claude Code. Develop your own add-ons and applications that can be sold to and used by Altegio’s client base of over 14,000 businesses. 
  • Altegio.me MCP (for customers): Find an available time slot, book, reschedule or cancel a visit in one chat with your favorite AI assistant, by typing or by voice.

 “A salon owner doesn’t need another dashboard. They need answers to their questions. MCP delivers those answers today, and API v3 lets partners build the next layer on top of Altegio’s data. We believe business data belongs to the business: the more tools that can work with it, the more value the owner gets,” says Yri Petrou, CEO and co-founder of Altegio.

You stay in control of your data

The assistant can only see and change what the user’s Altegio account has permission to access. Permissions to read, write and delete are set separately. Before saving any change, the assistant asks the user to confirm it. Altegio runs on Hetzner data centers in Germany and meets GDPR requirements.

What partners and developers get

Altegio’s open API supports more than 200 methods and over 100 integrations in the Altegio Marketplace run on it. Business Management API v3 (currently in early access) is designed with AI agents in mind:

  • Personal API keys for custom solutions and third-party applications. Each key acts on behalf of the user who created it and has that user’s current permissions. If an employee’s access is revoked, their key loses access too. 
  • Password-free authorization, so partner apps never receive the user’s Altegio password. 
  • Consistent terminology for key data entities (location, employee, service, client, booking, visit) ensures that developers and AI agents interpret the data consistently.
  • Integrations Hub MCP helps developers turn an idea into a working tool directly inside an AI assistant. Developers can plan the integration, create an app and test it on their own test account. 

At Web Summit 2026, the Altegio team will show how business owners can manage bookings and analytics through an AI assistant.   

More about MCP apps: alteg.io/en/mcp 

API documentation: developer.alteg.io

About Altegio 

Altegio is a European holding company and a business management platform for appointment-based service companies. It offers an all-in-one platform for online booking, appointment scheduling, customer records, loyalty programs, financial management, payroll and inventory management. Its open API and MCP servers enable businesses to use their own AI agents to access their companies’ data.  

More than 14,000 companies across over 90 countries rely on Altegio, and over 100,000 professionals use the platform every day. The team of over 130 people operates from seven offices across the EU, the UAE, Latin America and Central Asia.  

Altegio was founded in 2022 and is headquartered in Budapest.

Press contacts: 

Website: https://alteg.io/ 

Public relations contact: marketing@alteg.io 

Contact

CMO
Andrei Kuzniatsou
altegio
marketing@alteg.io

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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