e.e.r.s.

Big companies make customers feel special with AI recommendations. For small companies that tech feels out of reach: requires tech people and money.

And importantly, with e.e.r.s., the black box issue of "how is this AI making determinations" is eliminated. With e.e.r.s. the user is in control of how the AI works. With our clean and intuitive product users can use the product with ease and see how setting their parameters directly effects the results. 

e.e.r.s. is an easy to use two-step process: you upload two spreadsheets, set parameters, and get results. 

For example a user has 700 mentors and mentees to pair. Each participant has answered 25+ questions. The user uploads both datasets into e.e.r.s., adjust the parameters (determining which questions are deemed more/less important, set restrictions like location/specialty/etc., set a compatibility rate), receives results in seconds. If the user doesn't like those results, they can return and make adjustments to the parameters and rerun e.e.r.s.

We've worked directly with small business owners who see this as a way to make their businesses more efficient. We've worked with a mentorship program that was understaffed and short of funds, we're working with a medical clinic that is frustrated with their current scheduling system poorly pairing patients to the appropriate nurses, a duo running a non-profit supporting innovation in their community looking to connect businesses and funders. 

Each one of those businesses, are restricted in size and strives to grow and sees technology/AI as being their opportunity. And because e.e.r.s. has been made with many similar small businesses restrictions at the forefront, we're able to cater to their needs without much adaptation. 

For the first time, small businesses will be able to integrate an AI solution that they'll be able to understand, use (without the assistance of an IT team), and do all so feasibly. 

And we've most recently niched down to ABA clinics. These clinics are looking to pair new BTs to patients and match to new patients when there's a cancellation. We're currently on-boarding five of these companies as a test of this niche.

For scheduling/patient matching in ABA clients are using Central Reach (which is expensive and often loses data) and Salesforce (which doesn't allow filtering of patients or nurses). Our distribution strategy is to test with the ABA clinics in our pipeline and provide a quality product to these first ten users. After successfully completing this period, we'd market to other clinics, attend medical conferences to inform/educate new clients of the better tool that we provide. We'd offer trial rates and continue to build for this niche. Because ABA clinics are a small number, we'd soon move into other types of clinics with similar pairing/scheduling issues (traveling nurses/hospitals).

We're a founding team of 6 with a full team of 9. Highlights of the team: Ananya, our business operator, has worked NorthWestern Mutual as operation for hedge funds, Sherelle, Designer of UI/UX, works at Jet Blue, and James, CTO, has worked for Universal Studios Orlando and Disney. Combined we've got 40+ years of tech under our belt. 

We've been building together for nearly 3 years and have pivoted to working on e.e.r.s. for the last 2 years of research, designing, and building with small businesses. We're a diverse team that own and work at small businesses. Once we realized that e.e.r.s. was a tool that other businesses would find useful we immediately reached out to our network to find small businesses/non-profits/organizations that would find this tool useful. 

Every step of the way we've been building with customers to make sure that our tool is indeed easy to use and simple. We've taken in feedback about how customers would use the tool, integrate it, and improve productivity for their businesses. And now when we go out to new customers, we see the fruits of our efforts: customers want the features, they appreciate the easy, and can integrate the tool into their workflow.

We're still testing out with our waitlisters and slowly onboarding new customers. We're set to onboard our first 10 businesses on our waitlist: streaming platform, job boards, grant database, healthcare institutions. We're still in the midst of customer discovery. 

25% of small businesses are using AI to improve their businesses. That's $750 million spent by small businesses in AI.

We're joining the Solve program for legal assistance and go-to-market strategizing. As mentioned above, our tool serves many verticals and it's not effective to market to so many. We'd like the assistance in structuring test markets to pursue and at what pricing. For legal assistance, we'd like guidance on our legal structure and to walk us through the registering IP. 

e.e.r.s. is an improvement of the available recommendations available because it doesn't scrape the internet for data, the data is contained and provided by the user and the user controls the output with parameters. At all points during the use of e.e.r.s. a user will know what went in and what parameters affected the results. 

This transparency and easy to use tool could change how several different industries work especially in healthcare when it comes to scheduling and cancellations.

With our first customer, a non-profit mentorship program, we paired 600 mentees with 100 mentors (2 mentors for mentees and 8 mentees for mentors). We were able to take in the data of both the mentors and mentees (each had been asked 20+ questions), set parameters of importance for each question and provide results of 80% or higher. 

We were able to readjust the parameters to the mentorship program's desired outcome (using a previous year's pairings as our control group) and produce sufficient results in seconds. After meetings were held between mentors and mentees, we were able to follow-up and evaluate the quality of pairings.

A demo and designs of e.e.r.s. is available upon request. And our goal is to have it available to the public in the next coming months for all to test.

Diversity and Inclusion is the main pillar of entertwine: providing accessibility to all. We believe that once everything is accessible (education, job opportunities, funding, etc.) people of color will be able to reach equity sooner. 

Our team is built up of 90% diverse individuals (BIPOC, Women, LGBTQ+). We create a space that supports and encourages diversity because our founders are diverse, but it also being a diverse team has lead to creative and innovative solution because of our diverse backgrounds.

We're currently experimenting with our entry level tier being priced at $99 with the option to buy more reports and our unlimited tier priced at $250. 

Our current plan for financial stability is to target non-dilutive capital through accelerators, grants, SBIR/STTRs while we prepare to go to market. 

We've been warming our pipeline by re-engaging with waitlisters and adding new businesses to the list. We've started pricing conversations and set deadlines for these companies to receive the product and begin their monthly subscriptions.