Alludium joins AgenticInvestor as founding technology partner

Today, SVV (Sure Valley Ventures) is launching AgenticInvestor, a new open-source community for practical investor AI workflows, and we are proud that Alludium is its founding technology partner.

The workflows shared through the AgenticInvestor community were developed on the Alludium platform and tested inside a working venture firm. That is an important part of the story for us, because it means the work being published is grounded in real operating context rather than abstract examples.

AgenticInvestor is built around practical investor tasks, skills, and workflows that can support the day-to-day mechanics of venture work, from screening and evaluation through to diligence and IC preparation. The intention is not to replace judgement. It is to reduce repeatable operational load and make the surrounding work more structured, visible, and reusable.

That is a problem we care deeply about at Alludium.

For a long time, AI in venture has largely lived at the level of the answer. A model could help summarise a deck, draft research notes, or produce a first pass at a memo. Useful as that has been, the harder problem has always sat in the work around the artefact: carrying context across calls, notes, research, CRM updates, internal discussion, and follow-up, without dropping the thread or creating more coordination overhead for the team.

The reason this initiative matters is that it points toward a more practical way of using AI in investment work. Instead of treating AI as something separate from the process, it starts with the workflow itself. The work can be structured, delegated, reviewed, and improved over time.

That is very much how we think about the category at Alludium. Better models help, of course, but better models on their own do not solve coordination. The real opportunity is to build systems that help teams move work forward while keeping ownership clear, sources visible, and judgement in the right place.

We built Alludium inside a working fund for exactly that reason. The challenge was never just generating outputs. It was creating an execution layer that could hold the work together across agents, people, files, systems, and live deals.

We are proud to support AgenticInvestor because it helps make that shift more tangible for the wider investor community. It gives firms something practical to engage with, test, and learn from as they think about how AI should fit into their own operating model.

Take a look atAgenticInvestor.