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  • PropTech in India: Why Managing Property Is Becoming a Software Necessity

    PropTech in India: Why Managing Property Is Becoming a Software Necessity

    Indian real estate has always been operationally complex.

    • Multiple stakeholders.
    • Large asset values.
    • Long lifecycles.
    • Heavy documentation.
    • Constant coordination.

    Yet, for most property owners, developers, and managers, the day-to-day running of real estate still depends on manual systems — spreadsheets, phone calls, WhatsApp messages, shared drives, and paper files.

    This approach has worked for years.
    But it is no longer keeping up.

    Across residential, commercial, and mixed-use properties, real estate operations are slowly reaching a tipping point — where software is no longer optional, but necessary.

    This shift is what people increasingly refer to as PropTech.

    What PropTech Really Means for Real Estate Operations

    PropTech is often misunderstood as property listing websites or online marketplaces.

    Those platforms address visibility and discovery.

    But for people who operate real estate — manage tenants, collect rent, track documents, handle maintenance, and ensure compliance — PropTech means something very different:

    Technology that helps manage property operations efficiently, transparently, and reliably.

    In simple terms, it is about replacing fragmented manual processes with structured systems.

    The Operational Reality Most Property Teams Face

    In practice, many real estate operations today look like this:

    🔹 Information is scattered

    • Tenant details in Excel
    • Agreements stored as PDFs in folders
    • Rent tracking in separate sheets
    • Maintenance requests in WhatsApp chats
    • Vendor details in emails

    There is no single place where everything comes together.

    🔹 Processes depend on people, not systems

    • Approvals happen verbally or on chat
    • No formal tracking of who approved what
    • No audit trail
    • High dependency on specific individuals

    If someone leaves, knowledge leaves with them.

    🔹 Reporting takes effort

    Simple questions like:

    • “Which units are overdue on rent?”
    • “Which agreements expire this quarter?”
    • “What maintenance costs are recurring?”

    Often require manual compilation.

    This is manageable at a small scale.
    It becomes risky at a larger one.

    Why Manual Systems Are Starting to Break Down

    The challenges are not new — but the impact is growing.

    1️⃣ Scale

    Managing a few properties manually is possible.
    Managing multiple buildings, tenants, or projects is not.

    2️⃣ Accountability

    Without clear systems, it becomes difficult to assign responsibility or trace decisions.

    3️⃣ Compliance & Documentation

    Agreements, approvals, and records need to be accessible, structured, and ready when required — not searched for when a problem arises.

    4️⃣ Cost Leakage

    Delayed rent tracking, unmonitored expenses, and unplanned maintenance directly affect profitability.

    Why Existing Tools Often Fall Short

    Some property operators do use software today.
    However, many face common issues:

    • Tools that are too generic
    • Systems designed for brokers, not operators
    • Platforms overloaded with features that don’t match real workflows
    • Poor localization for Indian processes
    • Limited flexibility for approvals and permissions

    As a result, teams often end up using software plus spreadsheets — defeating the purpose of adopting technology in the first place.

    What Property Operators Actually Need from Software

    The demand is not for complex platforms.

    It is for clarity and control.

    Across different types of properties, the needs are surprisingly consistent:

    🔹 Centralized property data

    One place for:

    • Units
    • Tenants
    • Agreements
    • Payments
    • Documents

    🔹 Clear workflows

    • Defined steps for approvals
    • Role-based access
    • Visibility into who did what and when

    🔹 Reliable rent and payment tracking

    • Due dates
    • Overdue visibility
    • Simple reporting

    🔹 Maintenance and vendor management

    • Requests logged properly
    • Status tracking
    • Cost visibility

    🔹 Documentation that doesn’t get lost

    • Agreements
    • Notices
    • Compliance documents
    • Easy retrieval when needed

    These are not “advanced features”.
    They are foundational.

    Why PropTech Adoption Is Increasing Quietly

    Unlike consumer apps, property software adoption is rarely loud.

    But it is happening steadily because:

    • Asset values are increasing
    • Operations are becoming more professional
    • Stakeholders expect better transparency
    • Manual systems are creating avoidable friction

    Property operators are realizing that:

    Running real estate efficiently requires the same discipline as running any other large operation.

    That discipline comes from systems, not memory.

    The Direction Real Estate Operations Are Moving Toward

    The next phase of PropTech in India is not about replacing people.

    It is about supporting them with better tools.

    • Fewer manual handovers
    • Fewer missed payments
    • Fewer document searches
    • Fewer misunderstandings

    And more:

    • Visibility
    • Accountability
    • Predictability

    This is especially relevant for:

    • Residential rental portfolios
    • Commercial properties
    • Housing societies
    • Mixed-use developments

    Anywhere consistency matters.

    A Practical View on Technology in Real Estate

    Technology does not need to be disruptive to be valuable.

    In real estate, the most useful software is often:

    • Simple
    • Stable
    • Process-oriented
    • Built around real workflows

    When done right, it fades into the background — while operations become smoother.

    That is the real promise of PropTech.

    Closing Thought

    Real estate has always been about location, trust, and long-term value.

    What is changing is how that value is managed day to day.

    As portfolios grow and expectations rise, relying purely on manual systems becomes a liability rather than a strength.

    PropTech is not about trends or buzzwords.
    It is about bringing structure to complexity.

    And for many property operators in India, that transition has already begun.

  • AI Agents: The Unstoppable Revolution Behind Digital Coworkers

    ai agents
    This is what an AI Agent does not look like at all

    A few years ago, “AI” mostly meant chatbots that could answer questions, write essays, or generate images. They were impressive, yes but passive. They did what you told them, when you told them.

    Now, a new wave of AI systems is emerging- AI agents and they’re quietly redefining what “intelligent” actually means.

    Because unlike old chatbots, agents don’t just talk, they do. They can make decisions, take actions, and work on goals without you micromanaging every step. Think of them as digital coworkers and not just assistants.

    From Commands to Collaboration

    Imagine you have a virtual assistant that doesn’t just reply to “Book me a flight to Delhi,” but actually:

    • Finds the cheapest flights
    • Checks your calendar for conflicts
    • Picks a seat you usually prefer
    • And sends you a WhatsApp with the ticket and boarding pass-
      all while you’re busy doing something else.

    That’s the leap from a chatbot to an agent.

    Traditional chatbots are reactive. They wait for your prompt and respond.
    AI agents are proactive- they pursue a goal using reasoning, planning, and tools. They don’t need step-by-step instructions; they can figure out the steps themselves.

    What’s Inside an AI Agent?

    At its core, an AI agent is made up of four key pieces:

    1. A Goal or Task → e.g., “organize my inbox” or “analyze website analytics weekly.”
    2. Memory → so it can remember what happened before and learn from experience.
    3. Tools & Environment → APIs, apps, browsers, spreadsheets i.e. the agent’s “hands.”
    4. Reasoning Engine → the brain that plans actions, checks results, and adapts.

    When you combine these, you get a system that can think, act, and improve — almost like a human intern that’s learning on the job.

    Why This Matters

    Until now, AI has mostly been a conversation partner.AI agents turn it into a collaborator.

    Imagine if your sales agent:

    • Watched new leads come in
    • Wrote personalized outreach messages
    • Scheduled follow-ups
    • And reported performance every Friday
      without you lifting a finger.

    That’s not science fiction anymore. Startups and open-source projects are already building these “autonomous workers” for tasks like customer support, research, project management, and even coding.

    The result? Work starts to look less like doing and more like delegating.

    A Short Story: The Research Assistant Who Never Sleeps

    Let’s say you’re a founder working on a new product. You ask your AI agent:

    “Find the top 5 competitors who recently launched similar features.”

    In minutes, it:

    • Browses tech news
    • Extracts feature data from websites
    • Summarizes comparisons in a Google Sheet
    • And drafts an internal note recommending what you should learn from them

    All while you were in a meeting.

    That’s not magic, it’s autonomy. The agent wasn’t told how to do each step; it simply knew the goal and reasoned its way to the outcome.

    The Bigger Picture: Agent Ecosystems

    Now imagine dozens of such agents; a marketing agent, a product agent, a data agent, all working together, sharing context, and coordinating tasks.

    That’s the next chapter of AI, Agent Ecosystems. Companies like OpenAI, Anthropic, and others are already building the foundations for this- networks of agents that collaborate to run entire workflows end-to-end.

    Your future “team” might include a few humans and a few AIs, each specializing in their own domain, communicating naturally, and improving over time.

    The Human Angle

    Does this mean humans will be replaced? Not quite. Just as calculators didn’t eliminate mathematicians, AI agents won’t eliminate creators or builders — they’ll amplify them.

    You’ll still be the one defining goals, taste, vision, and judgment.
    The agent will just handle the grind — the repetitive and the routine.

    It’s like suddenly having doers for all the tasks you never had time for.

    The Bottom Line

    If AI chatbots were the start of the “talking computer” era, AI agents are the beginning of the “thinking coworker” era.

    They don’t just respond, they reason.
    They don’t just chat, they act.
    And soon, they’ll be working right beside us, quietly running the world’s workflows in the background.

    If you’re curious about building your own custom AI agents for your business or product, feel free to reach out to us at Gloero Systems. We help teams design and deploy intelligent agents tailored to real-world workflows.

    We’ve entered the age of digital coworkers. and the most exciting part?
    They’re just getting started. We should end this here, and you can subscribe for the upcoming articles where we are going to discuss more about the technical aspects of the same.

  • The role of Cloud in Modern Healthcare

    The role of Cloud in Modern Healthcare

    Overview

    This article is going to talk about the role of Cloud technology in the modern healthcare scenario. IoT along with Cloud at the backend can do wonders in the field of Healthcare.
    Cloud computing helps medical professionals to link, merge and analyse the medical records of patients through the use of cloud based medical solutions and connected devices. This helps in making accurate diagnosis and implementing a precise treatment plan. With the advancement in technology, cloud computing in healthcare is growing rapidly such that the global HC cloud computing market was valued at USD 61 billion in 2023 and is predicted to surpass around USD 210 billion by 2033.

    How is cloud computing used in Healthcare?

    Cloud computing is done by extracting important information from unorganised data like lab findings, Clinical records or radiological findings. The data is analysed and then stored in a cloud database. This data can be accessed easily by healthcare workers to get the information regarding the patient’s medical records. Likewise, patients benefit by getting the accurate treatment more quickly and efficiently.

    Cloud Computing and IoT in Healthcare

    IoT devices in healthcare are wearable or inserted devices that are connected to the internet like endoscopes, Oximeter, or ECG machines. These devices can send data to cloud programmes where data can be analysed and stored in the cloud database. This data can be used by healthcare workers to extract important information regarding patients’ medical details.
    As long as the medical equipment is connected to the internet and can transfer data to a cloud database, it can be considered an IoT.

    Some main Cloud IoT platforms include:

    • Azure IoT (Microsoft)
    • AWS IoT Core
    • Oracle
    • IBM
    • Google Cloud IoT

    These platforms have helped in creating tools and services to connect, analyse and store data for future use.

    Benefits of Cloud IoT in Healthcare:

    • Cloud IoT can help make precise diagnosis and better treatment options for patients, easy monitoring anywhere and anytime is possible which reduces the need for hospitalisation.
    • Cost Saving since no requirement of costly hardwares and softwares, reduction in hospital visits.
    • Data sharing on cloud computing is a lot easier and simple. It can be accessed by healthcare workers like doctors, Nurses, care-givers in real time.
    • Cloud IoT is a hassle free way to organise medical records and provides flexibility in the healthcare system.

    What are the different IoT Healthcare Devices?

    IoT (Internet of things) devices in healthcare are wearable or inserted devices that are connected to the internet. These devices can send data to cloud programmes where data can be analysed and stored in the cloud database.
    To understand it better let’s dive into the following examples of IoT devices used in healthcare.

    • Imaging Devices [MRI, CT, X-Ray, US]:
      IoT in Imaging techniques used in health services helps in quick and efficient sharing of data between healthcare personnel anywhere while reducing unnecessary expenses. Allowing them to thoroughly understand and improve the accuracy of diagnosis and implement a treatment plan to the patients on time, also ensuring protection of privacy of the patients.
      The IoT devices connected with sensors, smart applications, enables connection between practical and real world like between patients and doctors. It helps in monitoring and identifying diseases along with managing patients’ conditions.
      In modern health set-ups, medical imaging using IoT devices analyses and manages imaging data for clinical purposes, treatment procedures. Cloud IoT is also being used rapidly to increase information sharing with different platforms by new storage systems with improved security and privacy.
      The presence of Internet of medical things (IoMT) and 6G technologies has enhanced the diagnosis and prognosis of diseases in the field of medicine.
    • Telemedicine and Remote Patient Monitoring:
      Telemedicine allows patients to have a real time two way connection with doctors in order to receive health consultation from their homes via audio or video conferencing electronically. It is cost saving, efficient, convenient and less time consuming. Though it comes with certain setbacks like technical difficulties or no privacy & security is guaranteed for the data shared online.
      Remote Patient Monitoring (RPM) allows doctors to monitor the patient’s condition remotely. RPM uses glucometers, Pulse oximeters, BP cuffs, ECG and other wearables like smart watches, Sensors etc. to gather vital information and analyse the data. This data is used by the healthcare provider to assess the patient’s health without them visiting the hospital thereby saving expenses whilst ensuring quick and efficient care.
    • Gait analysis using IMUs and IoT:
      IoT devices can help in gait recognition of the patient. Various sensors are placed on the patient’s body which helps in locomotion. These sensors will analyse and monitor the gait pattern and send the important information to the cloud server via IoT. This helps in improving the efficiency of gait assessment which can be tedious manually.
      Wearable inertial measurement units (IMUs) are used in diagnosis and to check severity of certain disorders.
      The IoT synthesises the interconnectivity of devices which communicate with each other and the cloud server. The IoT provides more remote and timely monitoring of the patient (e.g., Limping, Fall Risk). It also increases efficiency and data can be processed and stored in the cloud.
    • Robotic Surgeries and IoT:
      IoT robotic devices are used by surgeons which enables them to do precise operations. Smart surgical instruments (scalpel, forceps, scissors or needles) which contain sensors are used to extract data and send it to cloud servers in real time during an operation.
      Care should be taken regarding patients’ privacy and preventing unauthorised access to sensitive information. Medical professionals should be trained to effectively utilise the devices and interpret the data as needed.
    • Smart Pacemakers and implants:
      Implants are medical devices surgically placed inside the body to improve any disorder. They include Pacemakers, Contacts, bionic implants, Cochlear implants etc. These implants can be connected to a sensor and help in monitoring the patient.
      IoT Contact lenses include sensors and cameras which are useful in detection of early signs of any eye disorder.
      Cardiac pacemakers are used to help in real time monitoring of the heart rate and rhythm and send the data to cloud servers to manage and store the data. It also helps in diagnosing conditions like tachycardia, bradycardia, arrhythmia and other heart conditions.
  • The Importance of Version Control Systems

    The Importance of Version Control Systems

    What is a Version Control System?

    Well, a Version Control System is nothing more than what it’s name suggests. It is used to keep a track of various versions of a file, so that you could revert to or go through mistakes that you made after modifying that file or any other practical situation that wants you to have a look at the previous version of the file. Suppose for example, You created a Word document on “Various types of cakes in the market”. You added all the available cakes in the market along with their prices. Now, for some reason, you thought that prices are not required in this document as it is only about the “Types” of Cakes and not their cost. You gradually removed the pricing from all the cakes, had a final look at the document, and saved it. Suppose, the next day, a friend of yours had a look at the document and got really impressed with it, but wait a sec, He says “It would have been better if you listed the prices, It would have become a great resource for people to select cakes.”. Okay, Now you would surely criticize yourself for removing the prices. You don’t have any other option cause you already saved the document a day before.

    Well, it may be a silly example to consider for you now. But believe me, in real world development, there are thousands of changes that happen to a file (program in particular) that could affect the overall state of the project. This is why, Version Control Systems were made. In brief, A Version Control System tracks your changes in a file, uploads them to it’s server and makes them ready to be fetched anytime you want them. Believe me, It saves a Lot of time to the developers. It also helps in Version specific updates of programs, like keeping a stable version, a testing version and a prototype separately and secured on the servers.

    Examples:- The most widely used is GIT, and others include CVS, SVN etc.

    GIT or GitHub

    Git is a Version control system as you read above. But what is GitHub?

    I’ll try to answer it as simply as I can. GIT is a tool or a connector which runs on your local machine and tracks changes, when it identifies and processes the changes, it sends them to the Hosting Service for Git which is nothing but GitHub. You can see it this way, GitHub is the actual Service or the actual Server which stores your changes, and GIT is the utility which integrates with your local working environment to make it easier to track changes and transfer them to the server. The other option to update changes is to directly visit the GitHub’s official site or Desktop Application, upload your files, and update them. The latter approach could be sickening when you are working with large amount of files on a big project, hence GIT is widely used in development.

    GitHub is a platform for Version Controlling, Sharing files, working in teams and so much more. Suppose, you are working in a team of four people on a medium project, you want to make sure that the same code is synchronized with all the four members. If person 1 makes a change, it should be notified to the rest three, and that change should update in the main code after approval of the rest, this saves a lot of time, copying and e-mailing codes to synchronize and get them approved. GitHub makes it very comfortable for developers to collaborate.

    GIT is a Command Line Interface(CLI) utility which easily integrates with your default Command Prompt. Knowing some basic commands and terminologies of GIT and GitHub can make your production work a lot more efficient.

    So, add it to your Web Development Toolkit, because now we are going to dive deep into GIT and learn more about Commands like add, push, commit etc.

    In this post we’ll discuss some basic terminologies in GitHub and in the subsequent post, we’ll learn about the commands.  As a rule of thumb, you may also remember that GIT is for your local machine, and GitHub is for online access(like a website).

    Repository

    A Repository literally means a container for storing things in large quantities. Well, that’s exactly what it is in the World of Git. In GitHub, you create Repositories to record changes of your various files, keep their versions separate, set them out for display and more. You You may say that  when you initialize a repository on GitHub, GitHub allocates some space/storage for your work on it’s server.  Hence, the first step of your project with Git is to initialize a Repository. Wel’ll discuss in detail about it in the subsequent post.

    Commit

    Commit in GitHub confirms with you whether you are sure to make the changes in the concerned files or not. It locally saves the changes on your machine when you commit changes using the command (to be discussed in the next post). Basically, commits are at the core of Tracking Files. When you commit changes, the date, time, user information, and a commit address is generated which eventually gets transferred to the server.

    Branching

    A Branch in any Version Control System(VCS) ,points to all the commits made in that particular branch or segment or version of files. Let’s get a little deeper now. When you create a Repository, by default GIT assigns to you a MASTER branch. This MASTER branch generally stores all the commits you make to your files. Now, when you branch this main branch or MASTER branch, a separate copy of the whole version on the MASTER  is made and stored on your local machine (say this copied branch is ABCD), now this is the cool part, you can play with this copied branch, make the desired changes, and finally when you are happy with the changes, you can easily change the MASTER branch if you want. So you see, here you have completely different versions of files, one is the MASTER branch and the other is the ABCD branch. You can do anything in the ABCD branch without affecting the MASTER branch and vice-versa. You can create multiple branches from any branch.

    I would like to highlight Git in the scenario of Branching. Branching is not at all an easy task in terms of processing speeds and disk space, but Git offers a really good Branching service, which maintains the branched copy in your local machine irrespective of the Internet speed. GIT stands out the clear winner when you compare it to some other old version control systems like SVN.

    Forking

    Forking is just making a copy of a Repository. Suppose you want to make a separate version of a project and work on it, testing out features and other stuff. This helps in keeping the original repository intact while you test out the copied version. You may fork a repository that someone else is working on, and suggest your own changes and a lot  more.

    Cloning

    Cloning is just like Forking i.e. making a copy of a Repository. The difference is it creates the copy on your local machine so that you can access to it without internet. Another point to note is, Forking takes place on GitHub, while, Cloning takes place on GIT CLI. I hope you can distinguish between them.

    These were some really basic terminologies in the world of GIT and I hope you got a GIST of GIT( don’t know if I just made a joke XD). We will have a look at the commands in GIT CLI which can help you to actually start working with GIT, in the next post.

    If this post really helped you, please share it, it would make my day, Thanks.