Techfyte @techfyte

Singapore, we’re coming 🇸🇬 Our team will be at @token2049 Singapore on October 7–8. If you’re there, come say hello and chat with us about what we’re building across AI, blockchain, and Web3. See you in Singapore 👋

A successful AI pilot is just the beginning. Taking AI into production means connecting it with real data, existing systems, and everyday workflows. The model matters. The infrastructure makes it scalable.

keyboard_arrow_left Previous keyboard_arrow_right Next

@ltm_ofcl Smarter model routing could make agentic AI more efficient without compromising workload requirements. Cost-aware AI infrastructure is becoming increasingly important as adoption scales.

@mastercardindia Agentic AI can make fintech workflows more adaptive, while strong security and trust frameworks keep those systems reliable at scale.

@ElaraAiLab @BAI_AGI @AnthropicAI A larger context window at lower cost could make agentic coding workflows significantly more practical, especially for complex codebases.

@Basil_dom The separation between AI-driven intent and wallet-controlled authorization is a strong foundation for building more usable Web3 experiences.

What if your documents could do more than sit in a folder? Generative AI can summarize long documents, extract key information, and turn unstructured content into useful data for business workflows. Less time spent reading and sorting. More time spent acting on the information.

What gives a tokenized asset real value? The rights behind it. A blockchain can record and transfer a token, but the legal structure determines what that token actually represents. When legal rights and on-chain infrastructure align, tokenization becomes much more practical.

L2s solved a big part of Ethereum’s scaling challenge. Now, the next step is making rollups work more seamlessly together. Scale together. Connect better.

AI gets better when it can learn from more diverse data. Federated learning lets models learn across decentralized datasets while keeping sensitive data local. Smarter learning. Stronger privacy. Better AI. #AI #MachineLearning #ResponsibleAI

keyboard_arrow_left Previous keyboard_arrow_right Next

Your identity should stay in your hands. Self-sovereign identity lets you hold and share verified credentials directly, making digital verification more private, portable, and user-controlled. Verify what matters. Share only what’s needed.

Your wallet doesn’t need one key in one place. MPC distributes signing authority across multiple parties, reducing single points of failure without compromising usability. Smarter key management. Stronger security.

NFTs are finding their real utility in gaming. From in-game assets and identity to verifiable ownership, they can make digital items more portable, usable, and meaningful. Less speculation. More utility.

Every missed call is a missed opportunity. Meet @Maica24_, Techfyte's AI voice system helping 45K+ businesses answer, assist, and convert customers in real time. Because great customer service starts with every conversation.

AI can make the decision. Blockchain can make it verifiable. Together, they bring intelligence and transparency into the same workflow, with decisions that can be traced, verified, and trusted. Because the future of AI needs both intelligence and accountability.

Large models will keep improving. That matters. But the most practical progress in the next few years will come from models that are smaller, faster, and closer to where the data lives. Bigger was how it started. Focused is where it is going.

Fine-tuning takes it further. Train a small model on your own data, it starts answering your specific questions better than a general model that knows everything loosely. Precision over breadth. For most real problems, more useful.

AI is not just getting larger. It is getting more focused. The shift from bigger models to smaller, precise ones is one of the more interesting things happening in the space right now, and it has been fairly quiet about it.