As enterprises increasingly look to automate complex workflows, a new category of AI platforms is emerging that goes beyond simple task automation to capture how businesses actually operate. Edra, a startup building AI agents that learn directly from organisational data, has raised $30 million in Series A funding to scale its technology and expand adoption across industries.
The round was led by Sequoia, with participation from 8VC and A*z. The investment reflects growing interest in AI systems that can move beyond static tools and become embedded in the operational fabric of companies.
Turning business activity into executable knowledge
Edra’s core proposition is to transform the way organisations capture and use operational knowledge. Instead of relying on manual documentation or predefined workflows, the platform analyses the data companies already generate through everyday activities.
This includes sources such as support tickets, emails, logs, and chat histories. By processing this information, Edra builds what it describes as executable knowledge, a structured representation of how work is actually performed within an organisation.
This approach allows AI agents to not only understand processes but also act on them. The system creates clear and transparent instructions that can be executed automatically, while remaining editable and open to human oversight.
Building a living playbook
At the centre of Edra’s platform is a concept known as the Living Playbook. Once connected to a company’s systems, the platform ingests operational data and begins constructing a dynamic knowledge base that reflects real world workflows.
Unlike traditional documentation, which can quickly become outdated, the Living Playbook evolves continuously. As employees interact with systems and complete tasks, the platform learns from these behaviours and updates its understanding accordingly.
This creates a feedback loop where the system not only automates existing processes but also identifies opportunities for improvement. Suggested updates can be surfaced to teams, helping organisations refine their operations over time.
Designed for real world complexity
The company was founded by Eugen Alpeza and Yannis Karamanlakis, who previously led Forward Deployed AI Engineering initiatives at Palantir. Their experience working within large enterprises exposed them to the challenges of managing complex and often poorly documented processes.
In many organisations, there is a gap between how processes are supposed to work and how they actually function in practice. Edra’s platform is designed to bridge this gap by capturing real behaviour rather than relying on theoretical models.
By focusing on actual data and interactions, the system is better equipped to handle the variability and complexity that characterise modern business operations.
Early traction across industries
Edra’s technology is already being used by companies such as HubSpot, ASOS, and Cushman and Wakefield. These organisations are applying the platform in areas where process knowledge plays a critical role in performance.
One of the initial use cases has been in IT service management and customer support, where large volumes of data and repetitive workflows create opportunities for automation. In these environments, Edra’s system can analyse past interactions, identify patterns, and streamline resolution processes.
For example, in one deployment, the platform analysed 150,000 support conversations, generated hundreds of knowledge base updates, and reduced the need for human intervention in certain cases. These improvements highlight the potential of the technology to enhance efficiency and reduce operational overhead.
Expanding into new functions
Beyond support and IT operations, Edra is extending its platform into areas such as sales enablement. By analysing call transcripts and other communication data, the system can build a searchable repository of insights that help teams improve performance.
The underlying principle is that any function where work is digitally captured can benefit from this approach. As long as there is sufficient data, the platform can extract patterns, structure knowledge, and enable automation.
Scaling the next phase of AI automation
With the new funding, Edra plans to continue developing its platform and expanding its reach across industries. The company is focused on enhancing its AI capabilities and supporting more complex use cases as adoption grows.
As organisations seek to move beyond basic automation and unlock deeper operational efficiencies, platforms like Edra’s represent a shift toward systems that learn directly from how businesses function.
By turning everyday activity into actionable intelligence, Edra is positioning itself at the forefront of a new wave of AI driven enterprise tools, where automation is not just programmed but continuously learned and improved over time.
