What's in this set
The pitch deck database currently holds 5 business intelligence decks, and that small number is worth knowing before you start building your own. Business intelligence overlaps heavily with analytics, SaaS, and AI, so a lot of decks that could reasonably sit here are tagged under those broader labels instead. The 5 decks span 2014 to 2020, and together they raised a combined $6.8M+ in disclosed United States dollar funding, not counting one pre-seed round raised in Canadian dollars. Rounds range from an undisclosed early raise up to a $6.5M Series A, so this small set still covers most of the stages a business intelligence founder will move through on the way to a Series A.
Three decks are worth studying first. Crunchbase raised a $6.5M Series A in 2015 and is the most mature company here, useful if you want to see what a growth-stage data platform pitch looks like once a company has real scale behind it. FriendlyData raised an undisclosed round of $150K in 2017 and is a closer comparison for an early-stage product, since it built a natural language interface to databases rather than a broad dashboard tool. Bliinx raised a CA$1M pre-seed round in 2020 and shows how a BI-adjacent tool built for one function, in this case sales and relationship data, gets funded at the earliest stage before there is much traction to point to.
The other two decks in the set, Flye and Survmetrics, both raised around $100K at the earliest disclosed stages, in 2017 and 2014. Neither company pitched itself as a general-purpose BI tool. Flye built audience insight software for marketing teams, and Survmetrics built dashboard software for construction subcontractors specifically, which matters more than it might sound like once you get to the advice below.
Browsing the decks here is free. Full access to view or download each one requires a paid plan on the pitch deck database, and most but not all decks include a downloadable PDF, so some of these five are read-only on the deck page itself rather than available to save.
What investors look for in a business intelligence pitch deck
Investors backing a BI or data tool are rarely buying a dashboard on its own. They are buying trust in the underlying data and evidence that the product wins on data quality, coverage, or access, not just on how clean the charts look in a demo.
Crunchbase's Series A in this set is a useful anchor for that data-breadth argument. By 2015, Crunchbase was pitching on the size and reliability of its company dataset as much as on the product built around it, which is the pattern most BI companies eventually need to show once they move past an early product and into a priced growth round: the data itself becomes the moat, not the interface sitting on top of it.
FriendlyData's raise shows a different, earlier-stage version of the same idea. A natural language interface to databases is a thin wrapper if a founder cannot show it beats a dashboard or a written SQL query on speed and accuracy, so an early BI deck built around a new way to query data needs a direct, head-to-head comparison against the status quo workflow, not just a product demo screenshot with a chat box on it.
Bliinx's pre-seed raise points to a positioning lesson that runs across this whole set: none of these five companies pitched itself as "general business intelligence." Bliinx sold contact and relationship intelligence for sales teams specifically, and that narrow framing is very likely part of what let a pre-seed check land in 2020 before there was significant revenue or usage data to show an investor.
Flye and Survmetrics reinforce the same point from the seed and undisclosed-round end of the market. Flye built its audience insight product for marketing teams rather than for every kind of business, and Survmetrics built its subcontractor scheduling and reporting dashboard for one segment of the construction industry rather than for businesses in general. A BI pitch that tries to serve every function or every industry at once is a harder seed-stage pitch than one that names a single buyer, a single workflow, and a single reason that buyer checks the dashboard every day, and these two decks are the clearest evidence of that pattern in this particular set.
Taken together, the five decks suggest a consistent rule for a business intelligence deck at any stage: pick the exact person who will open the product daily, name the specific decision that person can only make with your data, and only then talk about how the dashboard looks. Investors in this category have seen enough generic analytics pitches that a founder who leads with the buyer and the data source, instead of the visualization layer, stands out immediately.
Business intelligence investors are one click away
The decks in this set span a $100K pre-seed check up to a $6.5M Series A, which roughly tracks with how most BI and analytics companies actually raise: small and narrowly scoped at the start, larger and more data-driven once the product has proven itself with a specific buyer. AngelMatch's investor database includes 7,500+ business intelligence investors you can filter by stage and check size, so whichever end of that range your company sits on, you can build a shortlist instead of working from a cold list. Find business intelligence investors who fund data and analytics startups once your deck is ready to send.
Analytics pitch decks
