TagHive, a pioneer in education technology, proudly announces the launch of SaathiGPT, based on a powerful new language model interface purpose-built for education, designed to deliver highly personalised and contextually relevant learning experiences. With SaathiGPT, every student will now have access to a personalized tutor.

Built to support a wide range of educational applications beyond just a tutor, SaathiGPT empowers developers, educators, and EdTech platforms to seamlessly integrate intelligent teaching and learning features into their systems, from automated question generation and adaptive feedback to nuanced content understanding and performance insights.

What sets SaathiGPT apart is its deep alignment with real classroom dynamics. The model is trained on a proprietary dataset drawn from millions of anonymised student interactions captured using classroom clickers — TagHive’s signature technology deployed across schools in multiple regions. This dataset is further enriched with insights from home-based learning activities such as self-practice, assignments, and mock tests, giving SaathiGPT a truly multi-source learning signal across both school and home environments.

By drawing from this rich, real-time data, SaathiGPT is able to detect subtle learning patterns, surface performance gaps, and adapt to curriculum-specific needs with unmatched precision. Most importantly, the model dynamically adapts its outputs based on evolving student behaviour, ensuring that every response is grounded not only in past performance but in the most current understanding of a learner’s needs.

“Personalisation is not just a feature, it’s the foundation of effective education,” said Pankaj Agarwal, CEO at TagHive and also a graduate of IIT Kanpur and Harvard Business School. “With SaathiGPT API, we’re offering a tool that doesn’t just respond intelligently but understands the educational context in a way only a classroom-aware model can.”

Key strengths of the SaathiGPT include:

Personalised Responses: Tailors output to match individual learning levels, styles, and past performance.

Curriculum Awareness: Generates content tightly aligned with specific grade levels, subjects, and learning objectives.

Real-Time Classroom Relevance: Built on a dataset uniquely reflective of real classroom interactions and learning journeys.

Proven Deployment: Already powering Saathi Genie and Saathi Tutor — TagHive’s intelligent assistant and AI tutor features used in classrooms today.

Scalable Integration: Lightweight, flexible API structure allows easy embedding into apps, platforms, or LMS systems. With SaathiGPT and by opening the API for the world, TagHive furthers its mission to make classrooms smarter, more engaging, and deeply responsive to student needs. The API is now available for developers and partners, with extensive documentation and support for educational deployments.

CXOtoday News Desk

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December and Company, which operates the artificial intelligence (AI) simplified investment “fint,” announced on the 25th that it has launched a “personal comprehensive asset management account (ISA) advisory service” for investors seeking to pursue both revenue and tax benefits.

As market volatility has recently increased, interest is growing in ISAs that allow for tax benefits while managing a diverse range of assets in a single account. In particular, intermediary ISAs, where investors can directly choose and manage their financial products, are gaining popularity.

By maintaining an intermediary ISA for more than the mandatory holding period of three years, individuals can receive maximum tax benefits of 4 million won (2 million won for the general type, 4 million won for the low-income and rural types), and a 9.9% separate taxation applies to any excess. Taxation is only applied to net revenue through profit and loss offsetting, and an additional tax credit of up to 10% (maximum 3 million won) will be provided when the maturity funds are transferred to a pension account.

In response, fint explained that it has launched an advisory service to help even inexperienced intermediary ISA subscribers easily achieve both “tax benefits” and “investment revenue.”

The service is available through existing and new ISA accounts within the fint app and can also be used by transferring third-party ISA accounts. Fint’s AI investment strategy engine “ISAAC” comprehensively analyzes individual investment tendencies, asset management styles, and retirement timing to suggest tailored investment strategies, and it helps with effective asset formation by rebalancing asset classes and securities according to changing market conditions.

Fint’s ISA investment advisory strategies include ▲”global balance,” which diversifies investments in stocks and bonds worldwide to create a balanced portfolio; ▲”global macro active,” which adjusts the proportions of risky and safe assets in response to market volatility; ▲”global macro hedge,” which increases investments in high-revenue assets during upturns and raises the share of inverse exchange-traded funds (ETFs) during downturns; ▲”Korean stock dividend plus,” which invests in high-dividend blue-chip stocks listed in Korea; and ▲”safe bond investment (ISA),” which diversifies investments in maturity-matching bonds to secure stable interest revenue.

Service users can easily place orders through “one-stop trading” without having to select each investment item and quantity individually, and the items included in the recommended portfolio can be changed to other items as desired.

Fint plans to provide systematic operational support, including payment management for expanded tax credit benefits as well as information on revenue benefits. Additionally, it will hold an event offering various benefits to users of the service in cooperation with KB Securities until May 31.

Song In-seong, CEO of December and Company, said, “In the future, we will continue to present differentiated financial services aimed at the stable asset accumulation of investors.”

Kang Jung-a

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◆ World Knowledge Forum ◆

Experts predicted on the 11th that the key to future agricultural competitiveness is how to use various digital technologies. If agriculture in the past relied on farmer experience and technology, it is necessary to prepare for the era of technology-based agriculture as dependence on artificial intelligence (AI), data, robots, and plant factories increases in the future.

The “World Knowledge Forum Gyeongbuk Session” held at Inspire Entertainment Resort in Yeongjong-do, Incheon, provided an opportunity to check the coordinates of the domestic agricultural industry and envision the direction of the development of Gyeongbuk agriculture. North Gyeongsang Province is currently focusing on converting agriculture into a technology-based industry, setting its goal of the provincial government as “advanced agriculture.”

In the first session of the day, related experts gathered together under the theme of “How far have we come to technology-based agriculture?” to predict the future of agriculture. “As the average age of farmers worldwide is 63, the labor shortage problem will be a factor that will cause agricultural prices to soar in the future,” said Dove Petman, chief financial officer of Aerobotics Technologies. “In the future, we need to use drones and robot technologies to solve labor problems.” Tebel Aerobotics is an Israeli startup that has developed an AI drone that can harvest apples and is drawing attention. On the same day, CFO Petman drew attention by releasing a video of an apple harvesting drone developed by his company.

Representative Junghoon Lee Telopharm noted the popularization of ‘distributed agriculture’. Distributed agriculture refers to agriculture that utilizes a small space like a garden in a house yard. CEO Lee said, “In the future, we will not be bound by a huge agricultural method. If we receive help from semiconductor technology, we will be able to grasp the growth status of plants in real time and produce food at village corners or in our backyard.” Telopharm is famous for its smart farm companies that incorporate semiconductors into agriculture. Kang Young-joon, CEO of DSE, also said, “If facility cultivation or vertical farms develop in the future, plant lighting will inevitably become important. Just as we did not think we would buy water in the past, I think there will be a day when we will have to pay for not only photosynthesis of plants but also the sun.”

In the past, agriculture and food were considered separate industries, but in recent years, there has been a voice that the so-called Agro-Food Tech Industry should be actively fostered as it is connected by a single value chain. In the second session, discussions continued on the importance of the “Agro and Food Tech Industries” under the theme of “The Agri-Food Industry Changed by AI.” Cocoa prices soared earlier this year, and internally, they were already predicting this through various data, Shin Ho-sik, founder and CEO of Tridge, said. “In the future, whether agriculture can predict the market using data will eventually be competitive.” Tridge is a company that is leading the change in agriculture through big data, such as establishing a global supply chain management system for agricultural products.

Choi Young-deok, CEO of earthenware, also argued, “AI data can solve problems arising from business, shipment, and delivery necessary for the agricultural food industry,” adding, “It can also lower the crop disposal rate of contract growers.” Togi is a company that has developed a platform that helps food purchases and branding marketing at workplaces through AI algorithm technology in the agri-food field.

Lim Ki-byeong, a professor of horticulture at Kyungpook National University, said, “We have developed new seeds by human hands, but there will be a day when AI develops new species in the future.”

WOO Sungduk

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