How Trupeer AI is Reinventing Enterprise Communication Through Video

True innovation often emerges from solving familiar challenges in smarter, simpler ways. If you've ever created a professional explainer video, you know how demanding it can be.

Internally, producing just a short explainer typically consumes dozens of hours - and if you outsource it to an agency, expect timelines stretching from weeks to months, with costs averaging around $11,000 per video.

Yet video remains unmatched in its impact: audiences engage far more deeply with video content, being significantly more likely to share it than text or images alone. Recognizing this opportunity, founders Shivali Goyal and Pritish Gupta created Trupeer AI - an intuitive, AI-powered platform that empowers teams to create professional videos with zero editing experience required.

Off the back of its recent seed funding round, we sat down with co-founder Shivali to explore the origins of Trupeer AI, how they are reshaping the ways in which enterprises communicate, and how this new funding will accelerate their growth.

Shivali, what motivated you to start Trupeer AI? What pain point are you solving?

I've spent a long time working in technology - first at BCG, where I led a lot of transformation projects, then in various startup roles. My co-founder Pritish also spent time leading startups. In our experience, we saw that building software is one thing, but effectively marketing and onboarding users is much harder. Videos are ideal for this, but they're notoriously difficult and time-consuming to create. If you ask a product manager or a customer support person to make a video, it will take them probably a couple of weeks. And even then, the output may not be professional.

Of course, there are tools available and agencies to help, but they are expensive. At my last startup, just one video required about 15 hours of back-and-forth with an agency. But because I didn't know how to do video editing, I had to rely on them to do it for me. What if there was a magical way in which I could tell the context to someone and it could be created for me easily?

A lot of our founder friends in SaaS and IT leaders felt the same way; it's a very common pain point. So that's how we started the journey for Trupeer! It abstracts all of that complexity of video creation away from the user and creates professional-grade videos in a fraction of the usual time and cost.

What were some of the biggest technical and UX challenges in building Trupeer?

Given that we are essentially building a context understanding engine and, then, on top of that, a video creation engine. There's a lot of layers of AI involved. It's not like a simple thing where you just put in an input, put it across an LLM and you get an output. There are around 10-12 (sometimes even more) models that must work together to deliver that speed, accuracy and cost that we are known for.

Making sure each of those are working, in the correct sequence in the pipeline, is something we have constructed and it's very unique to us.

Another challenge was achieving perfect synchronization between AI-generated voices and screen recordings. Achieving 100% synchronization was a really tough technical challenge.

On the UX side, creating a simple, intuitive editing experience that even non-technical users could effortlessly handle was critical. Our "bottoms-up" text-to-video editing approach removes overwhelming complexity by reflecting real-time edits directly into the video.

And how does Trupeer AI fit into users' existing workflows, particularly with integrations like Slack, Jira and Confluence?

What we are seeing, today, is that companies need a central "brain" of product knowledge. Right now, there is no single source of truth that exists within a company as to how the product works, how each of the features work, and the different workflows etc. So Trupeer creates and maintains that 'brain' for product content or software content.

We have created a very easy way for someone who has that information to drop it into a screen recorder and then convert it into a really intelligent video and a guide. Then all of those come together to create that shared source of knowledge. With easy integrations into Slack, Jira and Confluence, relevant Trupeer videos and guides can be seamlessly surfaced wherever users need help, such as responding to customer queries on Intercom or internal searches on knowledge platforms like Glean. I feel like a lot of our focus right now is also on building some of those experiences.

Who is Trupeer AI's ideal customer? And how has your understanding of this evolved?

Whoever has to create content for software ends up being a user. That could be product marketers, customer success teams, engineers and even IT teams.

Initially, we thought our users would mostly be small startups. But we've actually found strong demand from mid-market and enterprise customers - because there is just so much content to be created at scale, for so many different people. Doing that, efficiently, is a really hard problem and enterprises are hungry for a solution.

For example, let's say a large piece of new software is being implemented at a Fortune 500 company. You need to train hundreds of thousands of people on that software - and if you don't do it well, that can cause a huge problem. So CIOs and the IT department within these larger companies are seeing a lot of value with our product.

Really interesting! How have you navigated selling to enterprises versus smaller companies?

The good thing is that because our product has self-serve value and we still rely a lot on that - even for our enterprise sales. For example, you're working at a large company and you're a product marketer. You discover the product and you end up using it with your one single license, but then you like it so much, it spreads within the company. Then other people within the company want it, and then you reach out to us for an enterprise deal. It's that bottoms-up benefit of a product-led motion that we leverage.

When it comes to onboarding enterprises, though, security assessments and procurement processes require a lot of attention and that takes time. Security remains a big concern for enterprises, especially when it comes to AI - they need to be comfortable with our stack and so on. But interestingly, we are seeing that enterprises are moving really fast on AI - much faster than in my previous experiences. It's not like earlier days when a simple implementation would take months. Enterprises want to move in weeks.

Can you share notable customer success stories that highlight Trupeer AI's impact?

Absolutely! We have this Fortune 500 beverage company using Trupeer and they were going through a large-scale platform transition. They were rolling out new software solutions - like store POS systems - which requires extensive training material. Previously, developers would manually document these processes, hold Zoom training sessions and, after that, the information was essentially lost.

With Trupeer, however, their engineers are now able to effortlessly produce hundreds of high-quality videos, both for testers validating software workflows and for end users learning the software. It's remarkable! Engineers who you wouldn't typically expect to create videos are producing content that surpasses even their marketing materials, all thanks to our streamlined workflow.

Another example is an early-stage global AI startup. Usage began organically, with just two employees adopting our product and this quickly expanded to over 50 users within the company. Since they're an AI-agent business, they're constantly developing unique workflows and applications tailored to different clients. Trupeer has become essential in creating compelling product and sales demos rapidly, enhancing their ability to close client deals.

Amazing to see that natural adoption and love for the product! With so much benefit, are there other players in the market? And how do you differentiate Trupeer?

There's currently no clear AI-native experience doing exactly what we're doing. Of course, you have a lot of basic screen recorders like Loom in the market, but their functionality is limited. They're too basic for professional use cases and people still need to script their videos, maintain perfect voice and presentation quality. We believe our product provides a 10X improvement over these solutions.

Then there are interactive demo tools that let you create simple, click-through software demos. But we think video is a much more powerful medium; it's transformative for storytelling. Video lets you include narrative, presentation quality, and personalization - elements these interactive solutions completely miss. That's something we've changed the status quo on.

Lastly, there are advanced video editors, essentially blank canvases requiring substantial effort and expertise, suited only for professional video creators - not engineers, for example. On the AI side, companies like Sora or Runway are doing exciting things, but they're focused on very different video use cases such as Hollywood-quality scenes or creative TikTok content. Our priority remains clear: professional-quality videos for software and business workflows.

Thanks Shivali. Shifting gears slightly to talk about your global reach. As a founder based in India, what unique advantages and challenges do you experience scaling internationally?

In terms of engineering and product talent, India certainly has no shortage of high-quality people. In fact, many of the people building cutting-edge products in SF are immigrants or come from similar pedigrees to the talent we hire. For instance, our lead engineer previously worked at Samsung Korea, building advanced ML and TPO solutions. The talent available is truly exceptional.

However, there is an inherent challenge with running marketing and sales operations out of India. Understanding customer needs and establishing the right distribution channels - especially for global markets - is not always intuitive. That's something we continue to navigate. We've addressed this by identifying key channel partners and advisors in the US who can advocate for us. Additionally, we regularly travel, participate in events and actively pursue opportunities to build word-of-mouth in the US market, which is a major focus area right now.

Any advice for other Indian AI startups aiming for global credibility with enterprises and investors?

Think globally from day one! AI is still a rapidly evolving field without many entrenched incumbents, which provides a unique opportunity. If your product is genuinely built with a global user in mind, you have a real chance of scaling internationally. This means your product mindset, UI/UX, design thinking, and overall architecture should all align with global expectations. What makes sense to an Indian customer might not resonate in the US, so design everything accordingly from the outset.

For enterprise adoption specifically, it's critical to thoroughly address security benchmarks. Enterprises' primary concern remains data security, so significant upfront investment is required to build credibility. Lastly, identify and win over one or two early champions in your target market. Once they see the value in your product, they'll naturally spread the word to their peers.

And do you have any advice for female founders leading AI ventures?

The way I see it, I don't think of myself specifically as a woman founder. I simply think of myself as a founder and I hold myself to that standard, never asking for special treatment. Even if I'm the only woman in the room, it doesn't matter as long as my ideas and contributions make sense. That's how I view myself and it's how I expect others to treat me - and fortunately that has been the case in most of my experiences.

However, one unique advantage I do have is my understanding of the specific challenges women face. Especially when it comes to hiring, performance management or other workplace decisions, I can offer a perspective that men might not instinctively consider. This is something I'm particularly passionate about - serving as a role model for women within my team and for aspiring women founders in AI more broadly.

Thanks Shivali. So what next for Trupeer, particularly in light of your latest seed funding?

Our focus now is on rapidly scaling globally, investing significantly in growth initiatives, especially sales and marketing in the US and Europe. On the product side, we'll expand our capabilities beyond content creation into discovery, search, and deeper integrations, while continuing to attract top-tier AI and engineering talent.

If you want to learn more about Trupeer and what they are building, visit their website here.