laptop
Web admin
sync
End-to-end platform
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User management
Olive-iate bias
Frustrated with the outdated process of enterprise
software evaluation (which can be manual and filled with bias), Olive Co-founder Chris Heard decided
there needed to be a better solution. Together with long-time colleague Dan Harrison, they came up with
the idea for Olive. The concept is an end-to-end CRM platform that uses AI technology for buying and
selling enterprise software. Olive dramatically reduces the risk of choosing the wrong software by
allowing for a more thorough evaluation of vendors in a lesser amount of time, and helps businesses make
decisions based on data rather than intuition.
The challenge
Olive had a game-changing idea to transform the way
enterprise businesses source vendors. While the concept itself was clear, the execution wouldn’t
be as straightforward. The logic on the backend would be especially complicated, and they needed
an experienced team to help them build the prototype quickly. After some research, TTT Studios
was recommended as the go-to agency for crafting successful technical solutions.
How we helped
TTT Studios delivered a fully functional prototype which
allowed Olive to validate their idea, seek investment, and focus on growth.
A Powerful Engine
blur_onRequirement Matching Matrix

The most important component of the software was the requirement matching matrix. This was the
driving engine behind Olive that allowed clients to specify the relevant parameters to their search.
The matrix would then return a list of vendors that best matched the specified requirements.
storageBackend Engine

This system required a very complex backend in order for it to function as intended. Our developers
built a powerful engine that could perform a huge volume of computations and come up with matches
based on very specific requirements. In order for the software to be practical, the application not
only had to be accurate but also fast. As such, optimization was extremely important. Our engineers
built the backend so that many calculations could happen simultaneously.
devicesUser Interface

While the algorithm on the backend was bound to be complex, the user
interface needed to be simple and easy to use. Our developers built a requirement library, allowing
clients to easily search and browse through all category requirements. Users can also assign weights
to each requirement and assign different levels of access to various roles within the company.
A Persuasive Prototype
The initial version of the prototype we built was meant to generate interest rather than revenue.
However, to the founders’ surprise, the response from clients was even more positive than expected.
From this, Olive was able to secure the fast food giant A&W as their first enterprise client. In
January 2020, it was announced that they would be accepted into Techstars, one of the most prominent
accelerators in the world.
What we built was supposed to be a beta version of the app. Once it got
put into the hands of customers, they were so impressed with it that we got paying customers within
two months.
Chris Heard
Co-founder & CEO of Olive
The process has been great from start to finish. TTT really challenged our assumptions. They stayed
engaged even after the project ended and we always had access when we needed it. We came out of TTT with
not only a good product but also a better understanding of what we were trying to build.
Chris Heard
Co-founder & CEO of Olive
The outcome
code
TTT Studios built a fully functional prototype for Olive that could run multiple complex computations simultaneously while providing extremely accurate matches.
TTT Studios built a fully functional prototype for Olive that could run multiple complex computations simultaneously while providing extremely accurate matches.
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Olive was able to solicit a great amount of interest and even close a couple of big clients including A&W with the prototype.
Olive was able to solicit a great amount of interest and even close a couple of big clients including A&W with the prototype.
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After the completion of the project, Olive was accepted into the largest accelerator in the world.
After the completion of the project, Olive was accepted into the largest accelerator in the world.
Visit the website
olive.app