SVV launches free AI platform for venture investors

SVV has launched AgenticInvestor, a free open-source platform for venture capital and private market investors that makes the firm's internal AI workflows available to others.

The release is an effort by the London-based AI-focused investor to move venture firms beyond limited AI use in research and towards more routine use of AI agents in dealmaking and portfolio work. The platform includes workflows, tasks, skills and agent blueprints drawn from SVV's own investment processes.

At launch, AgenticInvestor includes a Deal Pipeline Blueprint covering 20 tasks and 19 skills across investment screening, opportunity evaluation and preparation of investment committee memos.

The workflows can be used across more than 50 AI platforms, including OpenAI Codex, Claude Cowork, Alludium and Microsoft Copilot. The material follows open-source standards and is being offered free to the investor community.

The move comes as venture capital firms test how far AI can be integrated into day-to-day operations. SVV cited industry survey data showing that 34% of European venture firms use AI to summarise due diligence materials, while 26% use it to identify relevant deals.

The figures suggest AI adoption in venture remains concentrated in early-stage research and document work, rather than embedded in repeatable internal processes. SVV is targeting the operational workflows that sit between sourcing, assessment and internal decision-making.

Internal use

Early results from SVV's own use of the workflows showed measurable time savings. Company screening is now completed twice as quickly, according to the firm, while the team has also reduced the time spent preparing diligence packs and following up with founders.

SVV also said the workflows improved the accuracy and consistency of customer relationship management records. The system is intended to support human investment judgement, not replace it.

Barry Downes, Managing Partner at SVV, outlined the firm's view of how AI use in venture is changing.

"Venture capital is about to undergo the biggest operating model shift in its history. Most firms are still using AI as a research assistant. We believe the next stage is agentic execution, where AI systems carry out meaningful work throughout the investment process. We've spent the last year building and refining these workflows inside SVV, and AgenticInvestor is our way of sharing what we've learned and collaborating with the wider investor community.

"As investors, time is our most valuable asset, but too much of it gets taken up by repeatable operational work. AgenticInvestor is about giving firms that time back, while building a community where investors can share what works and learn from each other."

Broader push

Founded in 2017, SVV focuses on AI software investments and says its experience as a specialist investor helped shape the product. The group describes AgenticInvestor as both an industry initiative and a software toolkit, aimed at helping venture capital firms, private equity groups, family offices and limited partners build repeatable AI-led processes.

Open-sourcing internal operating methods remains relatively unusual in venture capital, where firms often treat sourcing methods, diligence processes and internal playbooks as proprietary. By publishing the workflows, SVV is taking a different approach that may appeal to smaller funds without internal product or engineering teams.

The platform is also positioned around standardisation. Its skills follow Anthropic's Agent Skills standard, which may make it easier for users to adapt workflows across different models and software environments rather than tie them to a single vendor.

That interoperability may matter for investors still experimenting with multiple AI tools. Many funds use large language models in isolated ways, such as drafting notes or summarising company materials, but have not yet built structured workflows that can be repeated across teams.

AgenticInvestor is designed to address that gap with defined tasks and reusable blueprints. In practice, that means investors can apply AI agents to sequences of work such as screening inbound companies, evaluating opportunities and preparing internal papers, rather than relying on ad hoc prompts.

SVV argues that reducing administrative and operational work could also change how investors spend time with founders. The intended outcome, it says, is not just internal efficiency but more consistent support for portfolio companies and businesses in the pipeline.

The commercial implications for venture firms remain unclear, particularly around how much time and process redesign may be needed to introduce such systems across investment teams. But the launch reflects growing pressure on firms to find practical uses for AI beyond basic productivity tasks.

For now, SVV is betting that a shared set of workflows will help push the sector towards more standardised use of AI in investing. The first blueprint covers the deal pipeline, with 20 tasks and 19 skills spanning screening, evaluation and investment committee memo creation.