For years, organizations have struggled with the “last mile” of digital transformation, often littered with outdated PDFs and neglected training manuals. Even with investments in sophisticated software like SAP and Salesforce, employees frequently find themselves grappling with basic navigation. As the era of agentic AI approaches, companies face the challenge of not only training human employees to work alongside AI but likewise preparing AI agents to adeptly navigate complex enterprise interfaces. One promising solution emerging in this landscape is the use of screen recordings and tutorials that guide AI in replicating workflows based on actual user interactions.
Guidde, a startup based in Israel and founded during the video-centric boom of the COVID-19 pandemic, has recently announced a successful $50 million Series B funding round led by PSG Equity. This investment underscores a critical shift in how the tech industry perceives documentation—not merely as a static output but as essential telemetry for training the next generation of autonomous digital agents.
Instead of relying on traditional PDF manuals, Guidde offers what it terms “Video Ground Truth”—high-fidelity data streams captured from real human experts as they navigate complex software systems. This innovative approach enables organizations to create a rich repository of interactive training materials that can significantly enhance both human and AI performance.
Transforming Documentation into Dynamic Training
At its core, Guidde operates as an AI Digital Adoption Platform (ADAP). The platform’s technological innovation lies in its ability to capture not just the visual aspect of user interactions but also the underlying metadata associated with each action. This includes every click, scroll and even the subtle pauses and corrections made during a session. As CEO Yoav Einav explained, the platform’s “Magic Redaction” feature ensures sensitive information, such as passwords and credit card numbers, is automatically obscured during recordings, maintaining security and compliance with regulations like HIPAA.
By transforming raw video into a Vision-Language-Action (VLA) training set, Guidde allows AI agents to develop a “digital world model” of enterprise software. This model gives agents the ability to reason through complex user interfaces with the same spatial awareness as human users, thereby addressing the long-standing challenge of automation in real-world environments.
Three Pillars of Guidde’s Offerings
Guidde’s platform is structured around three main products designed to scale with an organization’s needs:
- Guidde Create: Enables subject matter experts to quickly convert workflows into actionable documentation.
- Guidde Broadcast: Functions as a personalized recommendation engine that delivers relevant answers within the tools that users already employ.
- Guidde Discover: The newest addition, which maps software routes by observing and tracking employee workflows, automatically updating content as user interfaces evolve.
Bridging the Proficiency Gap
One of the most significant challenges companies face when rolling out AI tools is ensuring that employees know how to use them effectively. Guidde seeks to bridge this proficiency gap by providing “bite-sized” video tutorials that fit seamlessly into employees’ workflows. This dual-purpose mission also involves training AI agents on the specific workflows used within an organization, which is crucial for their effectiveness.
Many organizations invest heavily in sophisticated AI tools but find that employees struggle to utilize them due to insufficient training. One of Guidde’s major clients revealed they were spending over $1 million annually on an advanced AI solution, yet the training consisted of a mere 30-minute session, leaving employees ill-equipped to leverage the technology fully.
A Multimodal Approach to AI Training
To maintain high accuracy in training, Guidde employs a multimodal infrastructure that integrates various models working in tandem. This includes Google Gemini for visual tasks and Anthropic Claude for narrative scripting. The platform uses feedback loops to improve its processing: when a user edits a video, that data is fed back into the model to avoid repeating past mistakes, enhancing the overall training efficacy.
With this structure, Guidde aims to replace a fragmented stack of tools—such as Loom for video capture and Adobe Premiere for editing—with a streamlined, all-in-one solution that automates the entire process, adhering to brand guidelines.
Market Impact and Future Prospects
Guidde’s impact is already measurable, with reports indicating a 41% reduction in video creation time and a 34% decrease in inbound support tickets. Companies like Emerson have noted that they can create guides 40–60% faster, while support teams can offload up to 80% of their ticket volume with the help of well-trained AI agents.
Currently boasting around 4,500 enterprise customers, Guidde is positioned to expand further with its latest funding round. Early reception from industry leaders has been positive, with feedback highlighting the platform’s user-friendliness and effectiveness in delivering rapid, tailored responses to customer inquiries.
As Ronen Nir, Managing Director at PSG, stated, Guidde is addressing one of the most significant barriers to successful AI adoption—knowledge infrastructure. The shift from static documentation to dynamic, video-based training is poised to redefine how enterprises prepare their workforce for the integration of AI.
The trend towards agentic video intelligence is set to be a pivotal development in 2026, as organizations recognize the need for real-time, context-aware training solutions. By capturing extensive data on how work is performed, Guidde is establishing a unique dataset that few others possess. As companies increasingly adopt AI tools, the role of comprehensive training—both for humans and for AI—will only grow in importance.
For those interested in the future of AI training and digital adoption, engaging with platforms like Guidde could be a game-changer in enhancing operational efficiency and workforce competence. Comments and shares are encouraged as we continue to explore these exciting advancements in enterprise technology.
