The Artemis Approach to AI, Edition 1
The Artemis Fund believes technology can create prosperity for all. With offices in New York, Texas, and Nevada, Artemis leads seed rounds for companies creating resilient families, individuals, and businesses across the US.
At The Artemis Fund, we’re committed to using technology to scale access, improve decision-making, and build outsized efficiency into our workflows. As a data-driven fund, we’ve embraced AI as a strategic enabler. This blog is the first in an ongoing series detailing how we’re using AI across our investment process, from sourcing to diligence to portfolio support to content creation to fund ops, and everything in between.
The Artemis AI Stack
Here’s a look at the tools we’re currently using across the fund:
- ChatGPT Deep Research & Perplexity: These are our go-to tools for fast, context-rich research, memo drafting, and content creation. They offer strong ROI during early-stage analysis: summarizing market dynamics, surfacing comps, and framing customer pain points. We’ve developed internal prompting frameworks to boost precision and are actively building custom GPTs for special projects. For content work, ChatGPT performs best when paired with a clear outline. Human input is still essential to ensure tone, accuracy, and strategic clarity.
- Granola: After testing tools like Fathom and Affinity, we’ve adopted Granola fund-wide for meeting transcripts, and it’s been the most effective solution by far. It generates clean, structured text (not recordings), making it both non-invasive and easy to share. Transcripts can be instantly sent to Slack, uploaded to Affinity with one click, and customized with templates, streamlining our post-meeting workflows without compromising privacy.
- Midjourney: Our image generation tool of choice for brand-level visuals across blogs, LinkedIn, and internal storytelling. Midjourney allows us to create custom mood boards, refine visual prompts, and maintain a consistent brand aesthetic. Example: the cover image of this blog. Plus, Midjourney recently launched video capabilities!
- Notebook LM: Used for compiling portfolio health summaries from diverse inputs. It can also convert notes into an audio format, turning your written updates into podcast-style recaps. Useful for catching up while on the go.
- Gemini: A great way to query our Google Drive, whether we’re hunting for old memos, diligence docs, or founder updates. This tool cuts down document retrieval time to seconds.
- Happenstance: We use Happenstance to search our extended network for customer or partner connections that can help us vet customer demand during diligence and unlock opportunities for our portfolio companies post-investment. It helps us identify warm intros through second- and third-degree relationships across the team, enabling us to leverage siloed networks more efficiently.
We’re building an internal guide for AI-augmented memo writing:
We’ve experimented with different levels of AI involvement in this process, including drafting full memos. What we’ve found is a clear delineation of strengths:
- AI is most useful for synthesizing market dynamics, articulating customer pain points, summarizing macro context, and identifying exit precedents.
- Human input is essential for financial modeling, cap table analysis, go-to-market evaluation, and assessing risks.
To maintain quality and judgment, our internal standards are as follows:
- Mark all AI-generated content for review
- Use structured prompts to maintain consistency
- Avoid overreliance by requiring partner input on final conclusions
At The Artemis Fund, AI isn’t a shortcut, it’s a co-pilot.
We’re also developing a set of standards and workflows to leverage AI in the following areas during diligence:
- Market Mapping: AI is excellent for identifying public comps, TAM estimates, and exit pathways.
- Customer Problem Framing: AI is particularly useful in surfacing case studies and end-user pain points.
- Competitive Landscape: While we’re not using them yet, AI tools like Manus, Clarum, and Eilla help generate structured competitive matrices.
Other Use Cases We’re Exploring
- Agentic Tools: Like Doubleo, Zams, and Convergence for higher-leverage workflows.
- Slack AI tools: We’re currently evaluating Slack-native AI tools that can summarize channel discussions, tag themes, and extract to-do items automatically. Our goal is to reduce manual follow-up and streamline internal knowledge sharing.
- Financial Analysis Agents: We’re exploring tools that can extract key metrics from company materials (i.e., investor updates, data rooms, and financial reports) to streamline portfolio monitoring. Importantly, we only use closed, secure systems for this work and remain vigilant about maintaining data privacy and confidentiality.
- Public Market Agents: Analyzing 10-Ks and public comps to surface market signals and M&A appetite.
- Custom watchlist agents: Auto-pinging dormant contacts at 6-month intervals with context-aware messages.
- Pipeline enrichment: AI tagging of industry, stage, region based on meeting notes.
- SEC crawlers: Pulling company formation docs automatically.
- Auto-generated IC newsletters: Summarizing learnings and themes from our enormous pipeline.
- Signal Mining & Network Intelligence: We’re testing ways to identify emerging themes in our pipeline, surface valuation benchmarks, and track recurring IC topics. We’re also looking to enhance tools like Affinity with AI that can automatically cluster similar companies, recall passed deals, and highlight co-investor patterns — transforming historical data into strategic advantage.
AI isn’t just making us faster, it’s making us better hunters. The cost of missing a trend, a founder update, or a sector shift is real. By embedding AI across our stack, we’re reducing latency between signal and action. We’ll continue to share updates on what we’re testing, what’s working, and what we’ve phased out.
If you’re already implementing any of the above use cases, or just want to chat about AI generally, send us a note at community@theartemisfund.com. We’d love to connect with you.
We believe once in a generation companies will be built by unexpected founders. If that sounds like you, pitch us here!
