Invest in Datagran

Build professional Internal Software with AI

EARLY BIRD TERMS: $195,100 LEFT

$79,900

of a $125,000 goal
INVESTMENT TERMS
Future Equity
$14M valuation cap
Early Bird Bonus: The first $200K of investments will be in a SAFE with a $14M valuation cap and 20% discount
$250, $500, $1K, $10K

Highlights

1
Starbucks has announced Datagran as their worldwide advanced analytics platform starting in 2024.
2
100 NPS score.
3
1,780+ users in the past 3 months.
4
30% Retention rate after 3 months.

Our Founder

Data Scientist have a hard time shining. Sharing their work is hard and providing the internal data tools is often not a priority.

Why Datagran?

We first introduced Datagran a few years back with what we thought was a cool idea: mixing workflow automation with machine learning, kinda like zapier.com for ML. At the time, it was a shot in the dark, but many got excited with the idea because we were abstracting the complexities of putting AI models into production.


Fast forward to today, and after many hours talking to clients, we’ve honed in on what really matters: developers want to build their own data infrastructure, but the real problem was in laying it out for the business folks. How can we make data not just available, but also understandable for them where and when they need it? That’s the puzzle we’ve been piecing together.


With that in mind, we brought together all of our past experience in regards to serving data quicker and easier and arrived at a solution that we think will be extremely useful: Datagran APPs.


With our platform, developers will be able to create Apps with the power of AI + functional programming—enabling them to build applications like HR churn management tools, develop data models, create intelligent AI bots, and send data to any destination in minutes.


In a nutshell, Datagran makes it easy for developers to deliver internal data tools, empowering business users to query their data as needed, whenever they need it—including through NLP capabilities.


Think of Datagran as the AI-powered alternative to Retool.


The product:

  1. Easily connect your data sources.
  2. Create complex queries with the power of AI. Meet Jedi.
  3. Visualize and share your charts.
  4. Send the output wherever you need it.
  5. Use Datagran in the tools that you use everyday: Slack, Teams, Notion, etc.
  6. Create Apps and share them with your team.


What are clients doing with Datagran:

Starbucks: Datagran is utilized across business units in operations and marketing for purposes ranging from inventory prediction and waste reduction to user clustering and hyper-personalization. Check out one of our Starbucks case study for more details.


Italian Soccer League: Datagran is employed by the Data Analytics department to analyze various metrics including player performance and sales.


United Contractors: Datagran powers internal tools for their sales and operations departments, enabling automated control of payments to crews and sales teams, as well as providing incentives.


Here’s what some of our clients say:


Industry leading traction:


  1. 1,780+ users in the past 3 months.
  2. $62k in MRR. 

3.Starting January 1, 2024, Datagran is projected to be profitable, generating approximately $2K per month. This includes Bookings and expense reductions. *

4.Starbucks has announced Datagran as their Advanced analytics platform worldwide. This will potentially increase our MRR in about $50k tentatively starting March 1, 2024, increasing our profits accordingly.

*Forward-looking statements are not guaranteed.

Pricing Model - Free forever or pay-per-use 

Customers can sign up for free to test and try the product. While they can use the product for free for life, they will need to upgrade to paid tiers to get more usage.


We base our pricing on customer usage. There are three main variables that affect pricing: the number of data rows, users, and machine time.


Our bottom-up strategy begins with the client trying the product. If we identify that the customer should be an enterprise client, we contact that user to hand-hold them through onboarding. Our minimum enterprise pricing is $2,500 per month, which includes a set of usage limits.


Competitors:

Datagran stands out from DataRobot, Alteryx, Azure, and Amazon by making data accessible across an organization.

Data teams can create models and modify data, which is then made available to business units through our Slack or Teams bots for example.


Fundraising:


Since 2017, Datagran has raised close to $5 million through multiple funding rounds.

Earlier notable angel investors include 

  • Telefonica, 
  • Quake Capital, 
  • Beresford Partners, and 
  • C-level executives from Uber and Bain & Company

Here's why Brenton Cromwell, Senior Data Scientist at OpenDoor, invested in Datagran:


We are now opening our doors for one last time to the Wefunder community as we gain profitability. We do not anticipate the need for more funding rounds for now.


This means that now is the best time to invest.




Overview