In an exclusive conversation with TechGraph, Samudragupta Talukdar, Founder and CEO of Relata, a real estate technology company, outlined how the company is reshaping the real estate industry by focusing on customer emotions and preferences rather than just traditional sales methods.
Talukdar also shared how Relata is helping developers gain deeper insights while empowering buyers to make quicker decisions— all in their regional languages. This marks the dawn of a new era in intuitive, emotionally connected real estate.
Read the complete interview:
TechGraph: How does Relata’s integration of AI and VR challenge the status quo in real estate, and what disruptive innovations set it apart from other proptech platforms?
Samudragupta Talukdar: The real estate industry has been stuck in the old traditional way of doing things, essentially the realty ecosystem is broken. But with Relata, we’re talking about a complete paradigm shift. At Relata, we’re not just adding technology, we’re reimagining how people experience properties. Our AI is not just a regular chatbot, what sets it apart is its vernacular prowess. It can speak over eight regional languages. The chat between the customer and AI can be accessed by the backend team of the realty company to strategize and understand the customer better for a personalized recommendation.
Relata is way ahead in this game regarding real estate virtual experience, our team is dedicated to designing templates and experiences that prioritize customer engagement and satisfaction. We focus more on the customer journey and how we can optimize it.
At Relata, innovation is our constant. We take pride in being trendsetters, often finding other competitors following our lead. Our research team is already envisioning advancements for 2025-26. We make a lot of investments in tech, and we harness cutting-edge technologies like augmented reality (AR) or virtual reality (VR), spatial computing, and AI to lead the way forward. Our in-house innovations like the visualization suite and neighborhood maps, Reiya, and Arca, are successful testimonials of that.
I think the disruptive part would be that we’re creating a unified ecosystem. Builders get real-time insights, brokers have seamless communication channels, and the buyers experience unprecedented personalization. We are not only connecting the dots; we are creating an entirely new constellation of real estate interactions. We’re not competing with existing platforms. We’re rendering them obsolete. This is PropTech 2.0—where technology doesn’t just support real estate, it transforms it.
TechGraph: In what ways does the 360-degree sales ecosystem utilize predictive AI algorithms to shape developer and realtor strategies, and how does it quantify the return on investment (ROI) of these insights?
Samudragupta Talukdar: Our two AI innovations are Reiya and Arca. Reiya is a generative AI and Arca is a predictive AI. So, imagine being able to ask, “Which marketing channel is generating the most qualified leads?” or “Who are my top-performing channel partners?” and getting an instant, data-driven answer. That’s Arca for you.
Along with providing data, we’re also offering actionable intelligence. Want to know the optimal property configuration for your next project? Arca analyses market trends, customer preferences, and historical performance to give you razor-sharp insights. Take inventory tracking for example. We can predict which property types are most likely to sell, in which locations, and at what price points. For developers, this means reducing risk and maximizing returns. We’re talking about transforming gut feelings into strategic decisions.
ROI is more than a number for us; it’s about empowering developers to make smarter, faster decisions. By reducing market research time from weeks to seconds and improving hit rates on project launches, we will be delivering tangible value with Arca.
TechGraph: Can you elaborate on the specific AI-driven methodologies Relata uses to deliver an adaptive customer journey, and how these approaches are tailored to varying stages of the property buying process?
Samudragupta Talukdar: The traditional property-buying journey is fragmented, impersonal, and frustrating. We’ve completely reimagined this. From the first click to the final signature, Reiya adapts and evolves with the customer.
Reiya helps customers explore neighborhoods, understand project specifics, and answer queries about schools, hospitals, and amenities. We’re providing information and creating a narrative around their potential new home. Reiya can answer all questions from payment structures to any property details-related queries.
The magic is in the personalization. We’re responding as well as anticipating needs. By understanding customer behavior, preferences, and pain points, we create an experience that feels intuitive and seamless, that too, in regional languages.
Projects like Hiranandani and Sunbeam have already seen dramatic improvements in customer engagement and satisfaction. With Relata, we build relationships along with selling properties.
TechGraph: How does Relata ensure a balance between immersive personalization through AI and maintaining scalability across diverse customer segments in the real estate market?
Samudragupta Talukdar: The real challenge is creating an AI that feels human, not robotic. Personalization at scale sounds like a contradiction. But for us at Relata, it’s our core philosophy. We’ve designed Reiya and Arca to be adaptive intelligence, not just reactive algorithms. Take our approach with Hiranandani and Sunbeam. We have given Reiya the vernacular power so that anyone can interact with it.
From the conversation with AI, it gets easier for the sales team to understand why someone is searching, what’s their lifestyle, their budget constraints, their long-term aspirations, and more. For developers, this means unprecedented market intelligence. For customers, it is a journey that feels personally crafted, whether they’re browsing from a smartphone or exploring a VR walkthrough. We’re not replacing human connection; we’re enhancing it. Technology should feel invisible and intuitive.
TechGraph: Could you delve into how data governance and compliance challenges are managed within Relata’s AI ecosystem, particularly regarding sensitive customer data and regional regulatory demands?
Samudragupta Talukdar: At Relata, we’ve developed a multi-layered approach to data governance that tackles the complex challenges of managing sensitive customer data across different regulatory landscapes. Our primary strategy revolves around three key data classifications: analytics data, sensitive project data, and personally identifiable information (PII). We understand that each data type requires a nuanced approach to security and compliance.
For sensitive data, we’ve implemented role-based access controls that ensure only authorized personnel can access specific information. We’re particularly mindful of regional regulatory demands, which is why we’re actively working towards certifications like vulnerability assessment and penetration testing (VAPT), the International Organisation for Standardisation (ISO) 9001, and ISO 27001. These are not only checkboxes but also they’re our commitment to demonstrating robust data protection practices.
We’re especially careful with PII data. Currently, we encrypt this information using AWS key manager, with plans to evolve to client-specific encryption keys. This means that even if one client’s key is compromised, it doesn’t impact the entire system, which is a critical security consideration. Our hosting on Amazon Web Services Virtual Private Cloud provides an additional layer of security, allowing us to offer scalable yet secure services.
We’re storing data as well as creating an ecosystem where data privacy is paramount. One unique aspect of our approach is client consent. We only access client data when we are explicitly invited as project collaborators, and clients can revoke this access at any time. We’re transparent about what data we can see, primarily non-sensitive platform engagement data that helps us improve our product.
Looking ahead, we’re planning to further segregate PII by storing it in a separate database, accessible only through a dedicated micro-service. It’s about creating multiple barriers to protect what matters most: our clients’ sensitive information.
TechGraph: How is Relata transforming the virtual-to-physical transition for property buyers, and what specific pain points are being addressed using AI and VR in this hybrid experience?
Samudragupta Talukdar: As I said, traditional property buying is broken. Buyers spend months guessing, hoping, and feeling uncertain. We’re completely rebuilding that journey. Our VR isn’t just about pretty visuals; it’s about eliminating real-world friction. Take the biggest pain points: time wastage, geographical limitations, and uncertainty about space and feel.
Imagine a Chennai-based buyer exploring a Mumbai property at 2 AM, with AI-guided insights. Our technology shows rooms and tells stories. Want to know how morning light hits the balcony? We’ll show you. Curious about neighborhood dynamics? Our neighborhood maps give granular insights into that too.
The magic happens when virtual transforms into visceral. When a customer has already ‘lived’ in the space virtually, their physical site visit becomes a confirmation, not an exploration. We’re compressing decision timelines from months to weeks. Our AI, Reiya, acts like a digital companion. It remembers your preferences and provides instant context. We’re not only selling properties; in a way, we’re curating the best realty experiences.
TechGraph: With the progression of VR capabilities, how does Relata leverage hyper-realism to not only enhance property walkthroughs but also reshape buyer decision timelines and emotional engagement compared to conventional sales methods?
Samudragupta Talukdar: Hyper-realism isn’t about pixel perfection. It’s about emotional translation. Traditional sales methods sell square footage. We sell lifestyles. Our rendering engines create images and capture emotions. A balcony view is a promise of morning coffees, weekend conversations, and life moments, not just a view.
We use spatial computing to help buyers truly ‘feel’ a space. Want to understand how your furniture fits? Drag and drop in our VR. If you are curious about natural light, we simulate exact sun angles. Along with technological tricks, they’re emotional bridges.
We’re reducing decision-making time by a huge margin as we’re solving the fundamental human need—the need to “know” before “committing”. Developers get unprecedented insights. Buyers get unprecedented confidence. It’s a win-win ecosystem we’re building.