Nexla

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Nobody becomes a data engineer because they love saying “no.” But that’s what the job starts to feel like. “Can you give me access?” “Can you refresh that?” “Can you pull this dataset real quick?” It’s never-ending. Not because they don’t want to help - but because the tools, approvals, and dependencies make every request heavy. Somewhere along the way, data people became the bottleneck in a system they didn’t design. What if they didn’t have to be? What if the people who manage data could actually empower it to move freely- without gatekeeping, without lag, without burnout? That’s the future we’re building toward and it's launching soon.

This Diwali, we celebrated we celebrated togetherness. Some of our teammates also flew from India to our HQ to join us. The day was filled with laughter, stories, and a hearty Diwali lunch that brought a little bit of home to the office. Here’s to more moments that connect us across continents - and to a year ahead filled with light, joy, and prosperity 🌸 Happy Diwali from all of us at Nexla! 🪔

We didn’t build this because it was trendy. Or because “data” is a buzzword. We built it because we were tired. Tired of seeing incredible ideas lose momentum. Tired of people waiting days to get what they needed in minutes. Tired of systems losing context. Tired of watching speed become a luxury. So we decided to fix it. We built something for the people who make things happen. The ones who can’t afford to wait. The builders. The doers. The curious ones. You deserve to move fast again.

Data was supposed to make teams faster. But somewhere along the way… it started slowing us down. You ideate → you ask for data → you wait → and the momentum dies. Not because your data team isn’t great or because your tools aren’t powerful enough. But because the process itself isn’t built for speed. Think about it - the biggest bottleneck in most teams today isn’t creativity but access. We’ve somehow built systems where it’s easier to get a car to space than to get your company’s data into a usable report. Crazy, right? So we started asking ourselves - what if it didn’t have to be this way? What if data could move at the speed of your ideas? What if data could flow... instantly? And now, we are launching the solution soon. Stay tuned...

Let’s say - You need to move data from Salesforce to Snowflake. Simple enough, right? Except it never really is. - First, you need approvals. - Then you wait for access. - Then setup. Configs. Scripts. Permissions. And a couple of Slack messages to your data team asking, “Hey, any update on that?” What should’ve taken minutes somehow turns into days. And by the time the data finally moves, the momentum’s gone. Now imagine if all that could happen in 3 minutes. Just connect your systems, pick what you need, and… done. Sounds unbelievable? Maybe. But not for long. Because a better way to move data is coming. And it’s faster than you think. Dropping soon on Nexla....

How do you think we are going to cope up with the changing AI models? Catch our CEO Saket Saurabh in conversation with Joe Reis Link of the podcast in the comments 👇

Every marketer, PM, or growth person has faced this - let's say you’re in the middle of a great idea, you know exactly what you need to test it, but you’re stuck waiting… for data. Something that should’ve taken minutes ends up taking days. Not because your data team isn’t great. But because the system isn’t built for speed. It’s wild how even in 2025, when AI can write code and edit videos, we still wait in Slack threads for someone to “pull the data”. We felt that pain deeply. And instead of ranting about it (okay, after ranting about it), we decided to fix it. Over the past few months, our team has been quietly building something that changes how teams access and use data. Something that makes “Can you get me that dataset?” a thing of the past. We can’t share the name yet but we’ll just say: it’s faster than you think 😉 Coming soon on Nexla

In this article, you will learn about the key factors and best practices for evaluating large language models (LLMs), including relevancy, consistency, faithfulness, and completeness. #LLM #AI