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By:

Bhalchandra Chorghade

11 August 2025 at 7:24:18 pm

CIDCO struggles to find takers for its homes

Mumbai: The City and Industrial Development Corporation’s (CIDCO) latest housing scheme has exposed a recurring challenge for the planning authority: finding buyers for its large housing inventory despite its affordable-housing focus. The August 2026 scheme offered 4,793 homes in Taloja, Kharghar and Kalamboli and received 4,180 confirmed applications before bookings closed on September 3. While CIDCO described the response as strong, 613 homes—nearly 13 per cent of the inventory—had no...

CIDCO struggles to find takers for its homes

Mumbai: The City and Industrial Development Corporation’s (CIDCO) latest housing scheme has exposed a recurring challenge for the planning authority: finding buyers for its large housing inventory despite its affordable-housing focus. The August 2026 scheme offered 4,793 homes in Taloja, Kharghar and Kalamboli and received 4,180 confirmed applications before bookings closed on September 3. While CIDCO described the response as strong, 613 homes—nearly 13 per cent of the inventory—had no confirmed applicant. This follows earlier schemes with similar gaps. In January 2025, CIDCO’s ‘My Preferred Home’ scheme, offering around 26,000 homes across Navi Mumbai, attracted 1.36 lakh initial applications. However, only about 55,000 applicants paid the registration fee and around 22,000 deposited the required earnest money, leaving serious participation below the number of homes offered. A CAG-linked report on two CIDCO housing schemes in Kharghar found that, of 4,814 saleable tenements, allotment letters had been issued to 3,733 applicants and possession handed over to 3,317. Four years after the draw, 1,081 tenements remained unsold. CIDCO has also faced scrutiny over marketing expenditure. In 2023, reports questioned the appointment of private agencies to market and allot PMAY homes, stating that the agencies had received advances of more than Rs 100 crore before sales took place. CIDCO officials said external support was necessary given the scale of the programme. The scale of investment adds to the concern. CIDCO’s mass-housing programme envisaged 68,515 homes at an estimated cost of around Rs 15,300 crore. A 2024 report noted that thousands of completed homes were awaiting sale, locking up capital and increasing the authority’s financial burden. The latest homes are located in Taloja Sector 39, Kalamboli Bus Depot and Kharghar Bus Depot. Taloja accounts for 4,229 homes, followed by 257 in Kalamboli and 293 in Kharghar. Indicative prices range from around Rs 23.50 lakh in Taloja to Rs 37.70 lakh in Kalamboli and Rs 43.50 lakh in Kharghar. The figures point to a possible mismatch between what CIDCO considers affordable and what its target buyers can finance. Industry experts have noted that EWS homes priced at Rs 25 lakh or more may be difficult for households within the prescribed income ceiling, particularly after registration, stamp duty, floor-rise charges and other costs. Location may also influence demand. Taloja has seen rapid development and improved connectivity, including metro access, but buyers continue to weigh its distance from established employment centres and social infrastructure, as well as commuting costs. CIDCO maintains that its housing programme meets a genuine need in Navi Mumbai. Ashwin Mudgal, Vice Chairman and Managing Director, CIDCO, said, “The overwhelming response to the housing scheme reflects the aspirations of citizens to own a home in Navi Mumbai and their continued confidence in CIDCO’s planned development initiatives. CIDCO remains committed to providing affordable and quality housing opportunities in well-planned locations, enabling citizens to benefit from the region’s growing infrastructure and connectivity.” The authority has also highlighted the Pradhan Mantri Awas Yojana-Urban (PMAY-U) subsidy, under which eligible beneficiaries can receive Rs 2.5 lakh, subject to applicable guidelines and eligibility criteria. However, the repeated unsold inventory suggests that CIDCO’s challenge extends beyond construction. Pricing, apartment configurations, location, payment flexibility and connectivity may need to be reassessed before further public resources are committed.

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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