The institutional knowledge of running a fundraise has lived in advisor calls, partner intros, and a handful of playbooks. We're moving it into the place where the work actually happens. Feature by feature, step by step, so first-time founders don't have to learn it the hard way.
There is a sequence to a modern early-stage round. The investors you target, the order you contact them in, what to put in front of a partner before a meeting, what a clean data room looks like, how to structure your updates. None of these are mysteries. They're institutional knowledge. The people who've done it twenty times know all of them.
The usual answer to that imbalance is to tell first-time founders about it: a podcast, an article, a Saturday-morning webinar, a 90-minute coffee with an advisor. We think that's the wrong shape. Founders don't need a syllabus. They need software that already knows.
So we're not writing essays. We're building the operating system. Every conviction we have about how a round runs is wired into a screen you'll actually use: the pipeline you'll drag cards across, the deck you'll share, the room you'll open, the model you'll talk to.
Arx comes with the stages that every fundraise runs through. Warm introductions are by far the best way to raise early-stage capital, and that's why we have built-in intro mapping. Instead of sending CSVs to your advisors, you can share your real CRM list. Advisors can review it without needing an Arx account, and mark the investors they know. You can then use one of our pre-built templates and request an intro directly in Arx.
Deck sharing can't be reinvented, but the process around it can be improved. Arx pulls all viewer analytics, and syncs them with your existing investor records. This allows our AI to determine which investors in your pipeline are most interested. At times, investors also forget to reply to the founder after getting the deck, even if they wanted to. That's why we've added a reply button directly in the deck viewer — a small but effective nudge that can help you get a response faster without having to follow up.
We've been using Calendly for years. We didn't add a booking feature because other tools suck. We built it to maintain the flow of a fundraising journey. When you book a meeting, your company blurb sticks to the invite, giving the investor context before they join the call. Our AI checks the upcoming meetings, researches every fund and partner, and preps you ahead of time. Founders shouldn't have to spend time prepping for every call and looking up the partner on LinkedIn. Your job is to close. Software's job is to help you get there.
The biggest issue with data rooms is lack of connectivity. Information goes stale, and you end up having to explain it to investors after they already reviewed everything. Arx Data Room comes with linked materials. Your pitch deck, forecast, and cap table always display the latest version. All investor activity within the data room is recorded, and synced with the existing records in your pipeline. Founders deserve full transparency, and knowing the investor's level of interest.
When we started using Carta, our lawyers had to set it up. Cap table management for early-stage shouldn't be that complex, because it really isn't. Arx Cap Table takes minutes to set up, and plugs directly into your data room. Our AI understands your ownership, and can help you model rounds and share dilution, so you don't have to spend hours figuring out how cap tables work.
At early-stage, what you need is a defensible forecast with reasonable assumptions. You could spend a week building one in Excel, but why should you? That's why we built a forecasting tool that operates based on the drivers you do know — your pricing model, ACV, close rate, existing pipeline, and so on. Once the forecast is built, Arx measures your numbers against the industry benchmarks, and points out the ones that stand out. When the investor asks about it, you already have an answer prepared.
Every good advisor will tell you to share monthly updates with investors. But to make this process efficient, your updates have to live where your fundraise lives. Arx lets you add investors from your existing pipeline, and you can use our templates to draft monthly updates within minutes. Open rates and replies automatically sync with the investor record on file.
Arx uses your workspace analytics to understand the current stage of your fundraise, and helps you move it forward. It tracks which investors are interested, and which ones have gone cold. It helps you improve your deck and your data room structure, and reminds you to follow up with funds that are most likely to invest. Most importantly, Arx is trained on the best fundraising practices, and it acts as a real advisor with full understanding of your company, and your round status.
Real connectivity requires access to external tools. Arx pulls email history from your Gmail, books meetings with your Calendar and Zoom, and uses Slack to send you reminders and meeting briefs. Just like us, you probably run a lot of your daily work in Claude already. This is why we added MCP support. It's powerful enough for you to run pretty much the entire fundraise through Claude.
We don't gatekeep. All the resources used to ground our software are also available for you to read through. Guides, playbooks, videos, articles, accelerator cohorts, and everything in between.
Notion is infinite. So is the weekend you'll spend setting it up. Defaults compound. We'd rather ship the workflow with the practices already drawn, and let you change what doesn't fit.
Most software assumes you know the next step. Arx assumes you don't, and quietly points to it. You'll always see what's missing in your packet, who's gone cold, and when to send the next update.
The same cap table the partner is reading is the one you're editing. The same deck in the room is the latest one you uploaded. Cross-module context flows through Ask Arx, so the assistant knows where things stand without you having to repeat yourself.
Cap tables and SAFEs are some of the most sensitive documents a company will ever own. We encrypt them at rest, gate them per row, and never train AI models on them. The privacy floor for fundraising software should be the privacy floor for legal software.
The software you use to do the work should also know how the work is supposed to be done.