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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Rs 1,136-cr digitisation contract under scanner

Disclosures on pricing and volumes in a five-year modernisation project have raised questions about costs and oversight. Mumbai: A project described as a routine “digital transformation” of Maharashtra’s registration machinery has raised eyebrows after regulatory disclosures indicated that its billing could reach a staggering Rs 1,136 crores over five years. The Inspector General of Registration & Controller of Stamps (IGR), which comes under the state’s revenue department, has issued a...

Rs 1,136-cr digitisation contract under scanner

Disclosures on pricing and volumes in a five-year modernisation project have raised questions about costs and oversight. Mumbai: A project described as a routine “digital transformation” of Maharashtra’s registration machinery has raised eyebrows after regulatory disclosures indicated that its billing could reach a staggering Rs 1,136 crores over five years. The Inspector General of Registration & Controller of Stamps (IGR), which comes under the state’s revenue department, has issued a Letter of Intent to a consortium led by the Navratna public-sector firm RailTel Corporation of India Ltd., alongside the Nashik-based infrastructure company Ashoka Buildcon Ltd. The consortium has been appointed as managed service provider for a comprehensive modernisation of IGR offices across the state. The five-year turnkey contract covers end-to-end operation and maintenance of IT systems, networks, cloud services and application infrastructure, as well as the scanning of official documents. Execution is scheduled to run until March 19, 2032. It is the financial structure, rather than the scope, that has prompted unease. The approved rate for scanning registered documents is Rs 24.75 per page. Industry sources say prevailing market prices for bulk document scanning typically range between Rs 3 and Rs 6 per page - roughly a quarter of the contracted rate. Costly Contract In identical filings with the NSE and BSE last week, the consortium partners referred to historical data in the request for proposals showing that an average of 9.18 crores pages were scanned annually over the past five years. At the agreed rate, this would translate into payments of around Rs 227 crores a year, taking the projected total to about Rs 1,136 crores over five years. The contract does not specify a ceiling, and payouts are expected to vary with actual volumes. Critics and watchdogs argue that the absence of a fixed cap, combined with a per-page charge well above market levels, leaves room for inflated bills or padded volumes. Prafful Sarda, a Pune-based social worker, questioned the rationale for outsourcing the task. Even if Rs 10 per page were taken as a generous benchmark using advanced machines, Sarda asked, “what is the need to award the scanning contract at a massive cost to outsiders when the state government can itself do it at a much lower cost.” He also raised doubts about the composition of the consortium. “What is the expertise in IT-related work of Ashoka Buildcon Ltd., which is a road infra developer. Moreover, scanning is an easy process – a 100-page file can be scanned and uploaded in barely five minutes. Massive discounts are offered for bulk works. Are the IGR staffers so over-burdened that scanning work has to be outsourced at exorbitant public cost?” Sarda said. According to him, contractors would gain access to sensitive land and property records, as well as information on real-estate preferences and market trends, potentially giving them an early advantage in identifying future development opportunities. He compared the case to what he described as the IRCTC spending Rs 2,619 crores on website upkeep and maintenance over three years, along with Rs 1,950 crores in UPI fees, figures cited in an RTI reply and reported earlier by this newspaper. When contacted, a spokesperson for Ashoka Buildcon said the company was a minority partner in the RailTel-led consortium and that “hence, we are not allowed to speak in the matter.” The spokesperson also declined to comment on when the five-year contract would commence, noting only that the stipulated completion date is March 2032.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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