Global giants like Diageo, Hedrick Gardner, and nSpire are using Trupeer to reduce IT video production time, onboarding hundreds of employees without live sessions, or building a knowledge base in days. Shivali Goyal, Co-founder and CEO, Trupeer.ai, speaks exclusively to Rajneesh De, Group Editor, CXO Media & APAC Media, on how they are leveraging AI to automate the entire video creation process for IT, L&D and product teams
Trupeer.ai recently raised $3 million in seed funding. Could you outline what this funding means for the company and how you intend to deploy the capital across product development, team growth, and go-to-market strategies?
Trupeer is designed to make product knowledge easier to create and share by enabling teams to turn basic screen recordings into professional, multi-language product videos in seconds. More than 10,000 teams across IT, customer success, L&D, and product use it to create internal walkthroughs, training modules, and customer-facing content. All of this is done without large production budgets or time-intensive editing.
The funding gives us the capacity to keep building in the same direction. We’ll invest further in the product, expand the team, and support deeper integrations with tools already in use across software teams. We’re also working on new ways to generate video from documents, tailor content for different audiences, and deliver it within the systems where work is already happening.
Over time, we are aiming to build a system that simplifies how product knowledge is created and delivered quickly, and at the scale modern teams need.
What was the founding vision behind Trupeer.ai? What gap did you identify in the content creation space that led to the development of the platform?
The idea for Trupeer came from a simple question we kept hearing across teams: “Why is it still so hard to explain software clearly?” Teams were spending hours editing videos or relying on expensive production tools just to share basic product knowledge. Even then, the output often felt rigid and hard to update.
We saw a gap between how quickly software changes and how slowly teams could create useful, scalable content around it.
That is what led us to build Trupeer. The goal was to create a platform that takes the friction out of explaining software. One that lets anyone turn simple walkthroughs into clear, professional videos that can be used, reused, and personalised without needing a production team.
The platform enables users to convert raw screen recordings into studio-quality videos in seconds. Can you share how the underlying AI technology powers this functionality?
Trupeer uses a multi-modal AI pipeline that brings together models across voice, language, and vision. Each part is optimised for speed, accuracy, and cost, so teams can get high-quality videos without delays or heavy editing.
At the core of the platform is a proprietary sync engine that aligns voiceovers and visual effects to the original recording, frame by frame. This ensures that the final output feels polished and ready to use, straight out of the system.
To make the process fast, we have also built a custom video rendering engine. It runs multiple compute-heavy operations in parallel, which helps cut down time-to-video significantly while still maintaining production-grade quality.
What were some of the key challenges the team encountered in the early stages of building Trupeer—particularly around product development and achieving market fit?
Product development was relatively not as difficult as Shivali, co-founder, built the first version of the product herself. She self-taught coding and built the product with the help of GenAI, even when vibe-coding was a prominent phenomenon.
PMF required a couple of iterations before we landed on the idea in its current state. This required working closely with design partners, evaluating which sector/geography to focus on, the right product build, business model (sales-led vs product-led), etc. All these challenges of finding PMF compounds in the AI world, to the underlying tech and business models, are constantly evolving. Figuring PMF becomes harder as playbooks are constantly evolving every week.
As video content increasingly becomes the preferred format for product knowledge, training, and support, how is Trupeer positioned to address and lead within this shift?
Video has become the default format for sharing knowledge, especially as software products evolve quickly and teams need faster ways to train, onboard, and support users. Trupeer is built for this environment. It gives teams the ability to turn simple screen recordings into high-quality, multi-language videos in a matter of seconds.
We see strong usage across customer success, IT, L&D, and product teams. These are functions that are often expected to produce clear, useful content without dedicated video or design resources. Our platform is designed to help them move faster and scale knowledge sharing without losing clarity or control over quality.
That traction is already visible. Teams at Diageo, Hedrick Gardner, and nSpire are using Trupeer to solve real problems, whether it is reducing IT video production time, onboarding hundreds of employees without live sessions, or building a knowledge base in days instead of months. The shift toward video is well underway, and Trupeer is already a core part of how many teams are adapting to that change.
Could you elaborate on your go-to-market (GTM) strategy? Which user segments or industries are you focusing on initially, and what key initiatives are planned to drive adoption?
Trupeer is democratizing content creation for every software in the world. In a short period of time, 10k+ teams are using Trupeer, from startups to Fortune 500 companies. This was possible as we have a product-led growth GTM where anyone can try the product on their own and make a purchase.
Our GTM involves building a groundswell of early adopters – product managers building documentation, support leaders creating knowledge bases or implementation teams aiming for org-wide buy-ins of new processes, and turning that user trust into enterprise relationships.
In a competitive space with several video and content creation tools available, how does Trupeer differentiate itself in terms of features, usability, or outcomes?
Most video tools are either too complex or too limited. Traditional editors require time and skill, while generic screen recorders don’t offer the polish or flexibility modern teams need.
Trupeer stands apart by automating the entire process. From a raw screen recording, our platform adds AI voiceovers, avatars, cursor tracking, subtitles, and intelligent zooms, all aligned frame by frame to the input. We also generate documentation alongside the video, with screenshots and summaries. The output is ready to use across support, training, onboarding, and marketing.
We also support automatic personalisation for different audiences and languages, so teams can share the right version without creating content from scratch each time.
Looking ahead, what are the next key milestones for Trupeer? Are there any upcoming features, partnerships, or market expansions on the roadmap?
We’re continuing to evolve the platform beyond screen recordings. One area we’re actively building is video generation from documents. We’re also working on more ways to personalise content at scale and integrate directly with systems like CRMs and learning platforms.
The broader goal is to help teams deliver the right content in the right format at the right time. That means improving not just how knowledge is created, but also how it’s surfaced and shared in real-world workflows. These product directions are a step toward that longer-term vision.
