Intelekt AI

🌟 𝐁𝐢𝐠 𝐍𝐞𝐰𝐬 𝐀𝐥𝐞𝐫𝐭: 𝐈𝐧𝐭𝐞𝐥𝐞𝐤𝐭 𝐀𝐈 𝐉𝐨𝐢𝐧𝐬 𝐅𝐨𝐫𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝐒𝐁𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐇𝐮𝐛!🌟 🚀 We’re super thrilled to announce that Intelekt AI has been selected to collaborate with the prestigious State Bank of India (𝐒𝐁𝐈) 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐇𝐮𝐛! This is more than just a partnership; it's built on the same ideology of revolutionizing the BFSI sector with much-needed and cutting-edge AI-driven solutions. But.. 1️⃣ 𝐖𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐒𝐁𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐇𝐮𝐛 𝐀𝐥𝐥 𝐀𝐛𝐨𝐮𝐭? SIH was launched in collaboration with APIX and is designed for startups working in the Fintech domain with the sole reason of 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡𝐢𝐧 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐚𝐧𝐝 𝐩𝐚𝐫𝐭𝐧𝐞𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧. It gives startups like us access to over 250 financial APIs in a secure sandbox environment, nurturing further product development through collaborations and experimentation. Both of these are quite critical for an AI company, like ours. 2️⃣ 𝐖𝐡𝐲 𝐈𝐧𝐭𝐞𝐥𝐞𝐤𝐭 𝐀𝐈? Our focus on advanced AI and voice AI technologies aligns with many financial services looking to leverage AI in their systems and processes to drive down costs and increase efficiency. We’re excited to explore and develop applications that can redefine everything from fraud detection to seamless customer interactions. 3️⃣ 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲-𝐖𝐢𝐝𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 The BFSI landscape is evolving faster than ever. With innovations in AI and lead qualification, banks are not just adapting—they’re setting the pace. And we are proud to be part of the ecosystem, which helps in streamlining customer outreach through Voice AI. 🔍 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? Expect us to leverage this platform to innovate at scale. We’ll share insights, breakthroughs, and perhaps even co-create solutions that make banking smarter, safer, and more intuitive for everyone. 👥 𝐉𝐨𝐢𝐧 𝐎𝐮𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲! As we embark on this exciting collaboration, we invite you to follow our updates. Your thoughts, ideas, and feedback are invaluable as we shape the future of finance together. Let’s Intelekt-ually transform the BFSI world! 🌐💡 Sudeshna Mukhopadhyay | Gaurab Patra #SBIbank #SBIInnovationHub #AIagents #AI #innovation #BFSI #FinancialServices

"Is your voice the key to safer banking? 🗝️ This #FinanceFriday, let’s talk about Voice AI—the future of secure and human-friendly transactions. 🌟 Could you trust your voice as your password? Let’s hear your thoughts below! 👇" #FinanceFridays #VoiceAI #BankingSecurity #DigitalTransformation #AIInnovation #FutureOfBanking #FraudPrevention #SaaSForBanking, #FinTechInsights #BiometricAuthentication

🚀 𝐓𝐮𝐫𝐢𝐧𝐠 𝐓𝐮𝐞𝐬𝐝𝐚𝐲 𝐢𝐬 𝐛𝐚𝐜𝐤! This week, we’re talking about the unsung hero behind AI innovations: Synthetic Data. From transforming privacy in healthcare to training self-driving cars, it’s changing the game. But can it really replace real-world data? 🤔 Check out the post and join the conversation—let’s hear your thoughts! 💬 #TuringTuesday #SyntheticData #AIInnovation #DataPrivacy #MachineLearning #FutureOfAI #AIagents

🎙️𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐭𝐡𝐢𝐬: You run a business with a diverse team that regularly communicates with a customer base that is even more diverse and spans across different regions. You rely on voice-based communication for everyday operations—but your team faces different set of challenges for different regions of customers. This isn’t a minor issue for your business. It’s a major roadblock to #productivity and #accessibility. And it is an expensive problem to have. It involves hiring, training and retaining high manpower to interact with a different customer class, making expansion a costly affair. Voice-based communication should empower, not alienate. And this is where Intelekt AI is stepping in to make a difference. 🚀 At Intelekt AI, we’re focused on developing inclusive Voice AI solutions that don’t just cater to a single accent or language. Instead, our models are designed to understand and respond to a wide range of linguistic nuances, such as accents, dialects and languages with exceptional accuracy, allowing smooth conversations for users regardless of their background. Here’s why this is crucial: 1. 𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐞𝐦𝐚𝐧𝐝, 𝐋𝐨𝐜𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭: By 2026, there will be billions of voice assistant-enabled devices globally. But voice systems have historically favored dominant languages and accents, remember your Alexa or Siri?. We aim to change that narrative, ensuring that everyone’s voice is heard, clearly and equally. 2. 𝐂𝐚𝐭𝐞𝐫𝐢𝐧𝐠 𝐭𝐨 𝐩𝐞𝐨𝐩𝐥𝐞 𝐨𝐟 𝐈𝐧𝐝𝐢𝐚: Take the Indian market, where users speak 22 official languages and numerous dialects. Traditional voice assistants often misinterpret these, causing inefficiency. Intelekt AI's models, however, adapt to regional dialects, considering everything from phonetics to cultural context, to make communication effortless. 3. 𝐀 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Our technology leverages extensive multilingual datasets and continuous deep learning to improve voice recognition across diverse user groups. This results in a more personalized and accurate experience. 4. 𝐁𝐞𝐲𝐨𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲—𝐈𝐭’𝐬 𝐀𝐛𝐨𝐮𝐭 𝐄𝐪𝐮𝐢𝐭𝐲: We believe in a future where voice AI democratizes technology access. Our mission isn’t just to keep up with industry standards but to set new benchmarks for inclusivity. It’s not just about refining algorithms; it's about understanding real voices in real contexts. That’s what we’re passionate about at Intelekt AI. 💡 𝐖𝐡𝐚𝐭’𝐬 𝐘𝐨𝐮𝐫 𝐓𝐚𝐤𝐞? Do you think voice technology is evolving fast enough to be truly inclusive? We’d love to hear your perspectives on this. #VoiceAI #ArtificialIntelligence #CustomerExperience #FutureOfWork #BFSISolutions #AIForBusiness #ConversationalAI #Innovation #IndiaTech

🚨 "𝐅𝐫𝐚𝐮𝐝 𝐅𝐫𝐢𝐝𝐚𝐲𝐬? 𝐍𝐚𝐡, 𝐢𝐭'𝐬 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐅𝐫𝐢𝐝𝐚𝐲𝐬 𝐧𝐨𝐰! 🕵️♂️ This #Financefriday We’re pulling back the curtain on banking fraud and sharing how AI and machine learning are stepping up to outsmart fraudsters. From real-time vigilance to flagging patterns you never noticed, AI is rewriting the rulebook. Curious about how it's shaping finance? Let’s discuss. 👇 #FinanceFridays #FraudPrevention #AIInsights #AIagents #BFSI #Finance

🚀 𝐓𝐮𝐫𝐢𝐧𝐠 𝐓𝐮𝐞𝐬𝐝𝐚𝐲𝐬 𝐚𝐫𝐞 𝐡𝐞𝐫𝐞! Every Tuesday, we’re uncovering fascinating AI concepts and how they’re shaping our world. Today’s topic? It’s a game-changer! 🔍 Check out the post and let us know your thoughts. Are you ready for the future of AI? 💬 #TuringTuesday #AI #Innovation #AIagents

🏡 𝐇𝐨𝐰 𝐀𝐈 𝐢𝐬 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐡𝐨𝐦𝐞-𝐥𝐨𝐚𝐧𝐬 Conventionally, mortgage underwriting process or in simple words, securing a home-loan has long been known for its extensive paperwork, lengthy timelines for approvals and disbursals, and sometimes, frustrating human bias. But as the applications of AI become more mainstream, things are changing fast. Innovations in AI-driven models are not just automating but actually transforming mortgage underwriting. Here's how: 🔹 𝐒𝐩𝐞𝐞𝐝𝐢𝐧𝐠 𝐔𝐩 𝐀𝐩𝐩𝐫𝐨𝐯𝐚𝐥𝐬 Remember the days when getting a mortgage decision took weeks? With AI models now analyzing thousands of data points in real time, we’re seeing home loan approval process in days, if not hours, especially in more developed countries. Companies like Better have implemented the AI in underwriting process, using the technology to simplify processes and get clients their dream homes quicker. 🔹 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 By automating the reminder and collection process through Voice AI, lenders now prioritise their human work-force for more complex tasks. Voice AI uses LLM (Large Language models) and NLP (Natural Language processing) to take care of routine tasks such as Voice reminders, updating the instalment status and taking care of day-to-day borrower side of operations. 🔹 𝐌𝐨𝐫𝐞 𝐓𝐡𝐚𝐧 𝐂𝐫𝐞𝐝𝐢𝐭 𝐒𝐜𝐨𝐫𝐞𝐬 AI systems are now evaluating a broader range of financial behaviors, not just traditional credit scores. This is a game-changer for people with unconventional income streams, like gig workers or freelancers, who often face challenges with traditional lenders. 💡 𝘛𝘩𝘦 𝘉𝘪𝘨 𝘘𝘶𝘦𝘴𝘵𝘪𝘰𝘯: 𝘛𝘰 𝘸𝘩𝘢𝘵 𝘦𝘹𝘵𝘦𝘯𝘵 𝘈𝘐 𝘤𝘢𝘯 𝘣𝘦 𝘶𝘴𝘦𝘥 𝘧𝘰𝘳 𝘶𝘯𝘥𝘦𝘳𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘱𝘳𝘰𝘤𝘦𝘴𝘴? As promising as AI is, it raises valid concerns about the extent to which lenders are using Artificial Intelligence . After all, how much control do we want algorithms to have over such life-altering decisions? What do you think about this AI revolution in mortgage underwriting? Is this a step in the right direction, or are there risks we should be more cautious about? Let’s discuss in the comments below! #MortgageMonday #AIinFinance #FinTech #MortgageUnderwriting #AITransformation

What’s a Tarpit Idea, and Why It’s About to Affect Enterprises Like Never Before Let’s talk about tarpit ideas—a concept Dalton Caldwell spoke about, that’s highly relevant to startups but is now creeping into the world of enterprises. A tarpit idea is one that looks irresistible on the surface. It feels like a breakthrough no one else has solved well, garners tons of positive feedback, and has a strong pitch on why it’s a game-changer. But, like quicksand, it pulls you in deeper than expected, consuming resources while progress stalls. For startups, this is familiar ground. But as enterprises ask themselves, “What can we do with GenAI or tools like GPT, Claude, or Llama?” they’re stepping into the same traps. A Real-World Example: The GenAI-Powered Recruiting Co-Pilot Imagine you’re running a recruitment agency. You’re excited about GenAI’s promise and decide to build a GenAI-powered recruiting assistant. You assemble an internal dev team or hire an external shop for, say, 5,000 hours of dev time at a price you’re happy with. V1 launches, and the team is blown away. But then comes scaling—and suddenly, the numbers don’t add up. 1. Token costs skyrocket as your usage increases. 2. R&D budgets balloon to solve ‘specific problems that hampers user experience’, that weren’t planned for. A relatable analogy is my video here. Combining my inability to create nice videos + a great tool + my impatience to not spend enough time to perfect it. Similarly, with GenAI, even the most advanced tools won’t fix gaps in skills or understanding of the problem space. Some Questions I’ve found helpful before we start on such projects and to avoid sinking into a tarpit : 1. Will larger organizations build this themselves or something similar that solves my purpose? 2. Does the unit economics make sense? How will it evolve with scale and usage patterns? 3. Do I have the financial and organizational appetite to absorb changes in the roadmap? 4. Does my team have the bandwidth and expertise for ongoing R&D? What will it cost to scale up or pivot? With GenAI, the rewards of right preparation, can be transformative. I’ll continue to share my learnings on this topic. Drop your thoughts and questions in the comments - that’s really helpful in understanding your perspective. And, Happy building! #GenAI #EnterpriseAI #AIinBusiness

My love for open source was reignited during a collaboration with the team at LiveKit. We approached them with a critical challenge we are facing at Intelekt AI—something unique to BFSI in India, where call drops and missed connections are significant hurdles in ensuring seamless customer experience. While the root cause of the issue exists at the protocol level of how telecom operates in India, we needed multiple data points from the underlying protocol, to build business logic in ways to maintain consistent interaction. One simple example - is interaction with a customer, if the previous attempt was busy, if it was ringing, and if it dropped in-between needs a different approach. In a sector where every interaction builds trust, addressing this issue is non-negotiable, and for us while we make 1000+ concurrent calls, this issue is super critical. The LiveKit team not only understood but committed to adding enhancements to support this functionality. This small but crucial update now plays a pivotal role in helping us ensure every customer interaction counts—a game-changer for businesses looking to build trust and transparency. A huge shoutout to the LiveKit community and David. We love their real-time voice infra, and the promptness of support. At Intelekt AI, we're building an autonomous call center platform for BFSI, where AI voice agents and human calling agents work seamlessly to elevate customer experience and optimize the entire revenue operations cycle.

🌐 𝐂𝐚𝐧 𝐀𝐈 𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐞 𝐲𝐨𝐮𝐫 “𝐂𝐫𝐞𝐝𝐢𝐭 𝐬𝐜𝐨𝐫𝐞” 𝐧𝐨𝐰? The impact of AI in the Banking, Financial Services, and Insurance (BFSI) sector isn’t just a future dream or a trend—it’s impact has been a blessing for the financial service sector and its adaption has been through the roof, So what major changes can we expect in the times coming forward 1. 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐂𝐫𝐞𝐝𝐢𝐭 𝐒𝐜𝐨𝐫𝐢𝐧𝐠: Imagine being denied a loan because you lack a formal credit history. Millions face this hurdle, especially in emerging markets. And the biggest reason for this is no credit history. But thanks to AI-powered credit scoring models that analyze alternative data—like mobile phone usage and social behavior patterns—fintech companies are making lending more inclusive. By rapidly processing this data, AI reduces loan approval times and expands access to underserved communities. 2. 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐫𝐞𝐭𝐮𝐫𝐧𝐬 𝐟𝐨𝐫 𝐢𝐭𝐬 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬: Firms like Aidiya are pioneering AI-driven hedge funds that operate without human intervention in their day to day operations. These fully autonomous algorithms analyze vast datasets, identify trading signals, and execute strategies faster than any human. AI's precision is reshaping investment management, giving quant funds a strategic edge in a competitive financial landscape. 3. 𝐅𝐫𝐚𝐮𝐝 𝐏𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧 𝐢𝐧 𝐀𝐜𝐭𝐢𝐨𝐧: Mastercard’s “Decision Intelligence” system leverages AI to combat fraud. By analyzing transaction data in real time, it identifies unusual spending patterns and acts instantly to mitigate risks. The result? Enhanced security and a significant reduction in fraudulent activities. 4. 𝐔𝐧𝐮𝐬𝐮𝐚𝐥 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐧𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: If your credit card has some unusual activity or charges that have been flagged by the system, Credit card companies now reach out to you through Voice AI agents to confirm those transactions. Making prompt and accurate decisions. This could bring down identity theft significantly. These case studies reveal AI's role in making financial services faster, smarter, and more secure. But with this power comes responsibility. Financial institutions must balance efficiency with ethical considerations and compliance. 💡𝐀𝐈'𝐬 𝐫𝐨𝐥𝐞 𝐢𝐧 𝐟𝐢𝐧𝐚𝐧𝐜𝐞? 𝐀𝐫𝐞 𝐰𝐞 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐚 𝐟𝐮𝐥𝐥𝐲 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦, 𝐨𝐫 𝐝𝐨 𝐭𝐡𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐬𝐭𝐢𝐥𝐥 𝐨𝐮𝐭𝐰𝐞𝐢𝐠𝐡 𝐭𝐡𝐞 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬?