Vink.ai

Did you know that 60% of inbound leads are wasted due to delayed follow-up? ? Timing is everything when it comes to inbound lead engagement. Acting fast can mean the difference between a closed deal and a lost opportunity. Vink ensures your inbound leads are enriched, deeply researched, scored, and prioritized in seconds—so you can focus on converting them into revenue. Check out Vink.ai today and see how we can transform your pipeline. #b2b #b2bSaas #marketing #inbound #buyerintelligence #AI #vinkAI

Wish you all a very Happy Diwali!! #diwali #vinkai Nitin Pande Bhaswati Gohain Barua Darshan Vineeth Aman Varyani Adya Dadhich Arpita Chugh Uday Senan Saurabh Jain

We are looking for an awesome engineer to join us. Please spread the word.

Multiple tools don't add to speed and conversion. Deep, Insightful & personalized data does :) If this post resonates with you, share ?? this post. P.S. To see how just one tool (Vink) helps you with best researched data to use on your calls, decks and emails, DM me!!

In the process of developing Vink.ai, we have broadly narrowed down some key aspects that make for a good AI product. Insightfulness of Output Deep actionable insights that can help users in strategic decision-making remain top of our list of things that can make the product compelling for users. Speed of Output Today’s users expect real-time interactions. But speed isn’t just about how fast your models infer data; it’s also about how quickly the interface communicates movement and progress. The feeling of responsiveness and continuous reveal can make all the difference in making the product feel fast. Accuracy Accuracy is essential to build trust. As your team gets better at building accuracy into your outputs, it is also important to keep the user aware of when your system is not confident about outputs. Rigorous testing, continuous feedback, and continuous retraining of the system are critical for this. Feedback Loops Like humans, AI systems will also never be perfect, but they can always tend towards perfection. It is extremely critical to build feedback loops into the product flows, and then put in place a backend workflow that uses this feedback to continuously retrain and improve the system. Magic Last but most critical is the ability to get the user to feel the magic of AI. This is one aspect that our team spends a lot of time figuring out—how can we make the product experience magical?

Welcome to the team Uday Senan (He/His/Him), we are super excited to have you!

The wild wild west of the AI application world is here. And it is so exciting to be in the middle of it. This reminds of the time when my team was building our first chatbot at MakeMyTrip around 2015, called Robin. What happened back then was that ‘Chat’ got unlocked as the new interface for user interaction. The primary driver was that supervised classifier models trained on labeled datasets became good at 'Intent' classification of user chat messages. We could classify, with decent confidence, whether a user was talking about ‘booking a ticket’, ‘tracking a refund’, or ‘exploring a holiday option’, among other things. And, this 'Intent' was connected to a specific 'Function' or could trigger a specific 'Workflow'. Cut to today, LLMs have unlocked a new layer, the layer of ‘Reasoning via Language’. LLMs now ‘understand’ language. At the basic level, this means that we no longer need to do stuff like basic intent categorization because the LLMs can do much more. They can be instructed via language to do cognitive work that was earlier wrapped in functions written by developers. Anybody who can write text can now create Functions to do specific tasks. But that is not where the magic ends. We are now getting into the world of composable, role-playing, and always learning 'LLM Agents'. These are ‘Functional’ experts that can take on very clear and specific roles and can be composed without any code. And hold your breath - since they understand ‘Language’, they can now also ‘Talk’ to each other, unlocking the ability to organically find solutions to problems by bringing in each of their different expertise into play. What!!! Composable, role-playing, and always learning 'LLM Agents' working within a multi-agent framework is such an exciting paradigm that feels similar to emergent characteristics of natural systems like ants societies. For sure, there are still many hurdles to be crossed before these things become amazing, but the possibilities are so exciting!

?? Looking for stellar engineers to join the Vink AI founding team ?? Hey there! ?? We're Vink.ai, a startup working on creating high-performance copilots for B2B GTM teams. We looking for stellar engineers with at least 3 years of experience to join our founding tech team. If you're well versed in React, Python, or even better, have worked deeply in the AI/LLM space, we want to chat! What's in it for you? - Be part of the founding team ?? ?- Work in a fast-paced environment where you work on challenging data & AI problems ?? - Collaborate with experienced founders & tackle some big challenges ?? Why join us? Because we're doing cool stuff and need more brains and hands on deck. If you're ready to dive into a fast-paced journey and make a real impact, let's make magic happen together! ?? If you see yourself fitting the above description, have a great problem-solving attitude, and enjoy working in startup environments, shoot your CV, and a quick hello to nitin at vink.ai?

Warm Christmas wishes from the Vink.ai family! May your holiday season be as efficient and joyful as our inbound strategies. Here's to unwrapping success, building connections, and making every SDR interaction merry and bright. ?? #VinkAI #ChristmasEfficiency #InboundJoy #happySDRs #inboundsales #sdr Nitin Pande Darshan Vineeth Aman Varyani SATYANAND YADAV Saurabh Jain