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We've raised a $4.5M Seed from Frontline Ventures, HubSpot Ventures, Lifeline Ventures, and angels like Cal, Alex, Mårten, Marc, Sammeli, and Martin. Over the past three years, we've come to believe two fundamental things. 1. Enterprise sales is the next big frontier for AI. RFPs, security questionnaires, and other deliverables are exceptionally time-consuming and make it hard to scale a sales-led motion. 2. The inflection point for AI in sales is still held back by a context gap. While coding agents can tap into your codebase, revenue teams work with fragmented systems and unstructured data. This sprawling knowledge needs to be collected, organized, and prioritized. At the core of Realm is what we call a go-to-market context graph: a structured representation of what your company sells, to whom, and how. We build it automatically from your existing data. Using this understanding, Realm agents draft your most important deliverables, from multi-million dollar bids to business cases that will make or break months of work. Every response is grounded in your past wins, the unique strengths of your product, and a full history of the particular account. This is what the future of revenue work looks like, and I'm proud of our team for the years of hard work that have put us at the forefront of this shift. If you want to try out Realm, we've just launched a self-serve trial. If you want to go a step further and join us, we're hiring.

Before Realm, our customers tend to handle their RFPs, tenders, and security questionnaires in one of three ways. 1️⃣ Manual Process Each questionnaire is filled manually. People scan past responses for similar answers, but, for the most part, every answer is written from scratch and reinvents the wheel. Collaboration means sending answers back and forth in Slack or tagging colleagues in Sheets. Teams like this tend to dread RFPs. Either Sales dumps the whole project onto a more technical colleague, or all pipeline-generating work stalls until the AE has cobbled the bid together. Especially in the latter case, management is often concerned about the truthfulness of responses. 2️⃣ Legacy RFP tools These previous-generation tools rely on a Q&A library. It needs to be set up initially and then manually maintained over time. The total cost of ownership is significant. Often, the team gradually neglects their maintenance duties, which leads to knowledge base drift – your Q&A pairs stop representing the actual state of things. Whatever the case, libraries never cover all the questions customers will think to ask you. The even bigger weakness is that the "AI" that has started to appear in legacy tools tends to mean keyword matching and word-for-word recital of past answers. Combine this with a limited knowledge base, and these tools generally automate just 20–30% of responses. The collaboration is there, but the automation is not. 3️⃣ DIY AI solutions This is typically a curated ChatGPT project or a notebook in NotebookLM. Throw in some past bids and a bit of product documentation, and automate the next round of answers you receive. Out of the three solutions, this one tends to work the best. For small teams with a low volume of simple RFPs, we actually recommend it. However, as your bids grow in volume or complexity, and you involve more people in the process, this approach also falls short. Any document dump will always be a very limited knowledge base for the AI to draw on. Questions are generally fed one-by-one, which is painful if your RFP has 500 of them. DIY tools also offer very little in the way of collaboration. If you're currently doing any of the above, and you'd like to hear how Realm connects directly with your live sources of knowledge, offers the best search and AI in the industry (often automating 80% of responses and outperforming human writers on quality), and makes it seamless to respond and collaborate no matter how complex the RFP, reach out.

Deliver winning RFP, RFI, and SecQ responses with AI agents that handle up to 80% of questions using your existing company knowledge — backed by citations and confidence scores.

Realm’s AI agents handle up to 80% of responses using your company’s existing knowledge — backed by citations and confidence scores, so you can move fast and submit with confidence.

Realm qualifies RFPs and handles up to 80% of responses using your company’s knowledge. Your team focuses on the strategic 20% that actually wins deals — and says "yes" to more of the right opportunities.

Forget endless Slack threads, version hell, and chasing SMEs. Realm drafts up to 80% of responses automatically using your existing knowledge — and enables your team to review, refine, and submit faster.