Moms about town

App aims to connect Houston mothers using AI technology

Houston-based Social Mama uses its platform to connect mothers based on location, interests, and the things their children have in common. Courtesy of Social Mama

Sometimes, to be a mom, is to feel utterly alone. Not every mom is the same, and it's tough for women to find the right support systems — people who are going through or have gone through the same struggles.

A new Houston-based app, Social Mama, is providing a solution. The technology uses artificial intelligence and data collection to learn about its users and match them to other users based on their location and specifications. It's like online dating, but for mothers, co-founder Amanda Ducach says.

"The social impact of the product is so important," Ducach says. "I can't explain to you the isolation and the problem that exists in motherhood. I was completely unaware of it before I started the company."

The idea came to Ducach when she moved across the country to Houston from Minneapolis. Her best friend was in sudden need of a new network — preferably moms who liked wine, spoke Spanish, and had peanut-free households so her son could play without the risk of his allergies. Wanting to help the friend they had abandoned, Ducach and her husband, who is a data architect, decided to try to find a way to get there friend a new friend she could relate to.

"We realized there was nothing that existed that allowed two mothers to connect based on where they lived and their interests, that also took information about their children in account," Ducach says. "We decided to create it."

The app, which is based out of Station Houston, has been in beta with a couple thousand users, but, based on users' experiences, Ducach says they are making a lot of changes before they launch to the public in spring of this year.

Beta lessons learned
Thinking that mothers are too busy for lengthy setups, Ducach made signing up for Social Mama simple.

"We completely put out the wrong product, which isn't a bad thing," Ducach says. "We assumed they would want us to figure out who to match them with, but it's the complete opposite."

The mothers are happy to spend 10 to 15 minutes during the sign in process after downloading the free app, Ducach says, because they want to give the app as much information as possible. They are looking for niche matches.

Another surprise for Ducach was that, similar to dating apps, starting a conversation with a stranger — ideally matched or otherwise — is tough.

"We thought that because it was two women, and there's no sexual chemistry, that it would be easy for them to reach out and start a conversation," Ducach says. "But they actually still find it incredibly awkward."

The app will have things like ice breakers or games to help get the ball rolling.

She also didn't think the mothers would want something like a newsfeed. However, users who might not be in a highly populated city primed for face-to-face friendship still might want access to asking fellow mothers advice in a post on a forum. So, Social Mama will have a customizable, AI-generated newsfeed — kind of like a forum. Posts will have tags, and users will only see things they have an interest in.

"As you continue to use the app, it will create a persona for you," Ducach says, "and it's not mothers that are like you, but mothers you tell us you're looking for."

The app will know when a mother transitions from newborn mother to toddler mother, so that her matches stay relevant as her child ages.

Making an impact
This year, Social Mama will go live in the spring, and Ducach has several growth plans surrounding launch. The app will be fundraising for pre-seed money in 2019, and expanding the team to include a data scientist, as well as other department hires. The company currently has eight employees — most of which are in the Houston HQ — but some reside in Boston and around the world.

The core components of the app are the matching and AI-generated newsfeed, but hosting event meet ups is another successful avenue for the app, as is the potential to recommend products to the mothers. Ducach says this could be a part of the the app's business plan, as is a subscription model for moms to opt into extra perks.

"We know so much information about these moms that they are telling us, that we have the ability to send them recommended products from other mothers," she says.

While Ducach says the initial launch will only be in Houston, the app is already in big demand worldwide. She says they had to shut down the beta version because they had so many international downloads and they were concerned about cybersecurity.

"Moms want this in Germany, China, and Cypress, Texas," Ducach says. "It's really a need everywhere, and we're really excited to expand and see which markets take off."

Ducach says she is excited for the app to go live and affect these moms' lives.

"We're really excited because it should really change the trajectory of these women's lives and create a support group they've never had before," Ducach says.

social mama Social Mama went through a beta phase, but when it launches in the spring, it will be totally different. Courtesy of Social Mama

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Building Houston

 
 

Camilo Mejia, CEO and founder of Houston-based Enovate Upstream, has big plans for increasing efficiency across the oil and gas sector. Photo courtesy of Enovate

A Houston energy tech company announced a new artificial intelligence platform that aims to digitize the oil and gas sector to provide the best efficiency and return on investment at every stage of the supply chain cycle — from drilling and production to completion.

Enovate Upstream's exponential growth, says Camilo Mejia, CEO and founder of the company, has already led to two new strategic partnerships in the works with European and Latin American companies.

"We see a better future in the oil and gas industry," Mejia shares in an interview with InnovationMap. "Our team worked in various roles in O&G, and we don't think the industry will end up as some people may think. The future will be different and digitized, we are just here to facilitate that transition to give back to the industry that gave us a lot."

The company's proprietary cloud-based ADA AI digital ecosystem is challenging the assumptions of the industry by using new technology powered artificial intelligence to provide historical data with AI to give real-time production forecasting. Thanks to the cloud, users can access the information anywhere in the world.

The new platform combines three models — digital drilling, digital completions, and digital production — that provide precise data that can be customized to the client's needs, integrating into an existing platform easily for a real-time view of their return on investment and carbon emission output.

Mejia shares more about his company's growth and what goals Enovate Upstream is setting to continue the course of digitization in the oil and gas industry in the Q&A with InnovationMap.

InnovationMap: What inspired Enovate Upstream’s focus on artificial intelligence technology for the upstream value chain?

Camilo Mejia: For the past five or six years, there's been talk of digitalization, and the value of data. The next level is not the value of the data, it's about the automation, how you can improve operations, and how you can help customers to make better decisions. Every single technology that we are developing here is about the return of investment.

Our AI concept is about the physics behind the data. We are accelerating digital adoption by properly showing the tangible value of the technology by speaking the same language and showing the value from the oil and gas perspective, which was one of the challenges other AI technology faced to break into the industry before. Our artificial intelligence component upgrades this technology to optimize the industry while integrating it with this digital ecosystem all in one place. The digital ecosystem we're building covers the entire value chain.

One of the challenges the industry faces is around capital allocation — how we can help customers to properly allocate capital into projects, which is a fundamental way we forecast new projects. Another challenge is the size of the organization that ranges from corporations to small businesses. They have many opportunities to improve cost but that varies across companies.

We are overcoming that challenge in order to develop a technology that can show the inefficiencies between the sizes. The third challenge is the adoption of digital technology. There are two different ways of deploying artificial intelligence. One is data-driven analysis, data-driven models, or data trading — this is the foundation.

IM: What fundamental changes do you think your cloud-based ADA technology can provide across every stage of the value chain?

CM: The biggest change we have in the platform is revising the workflow based on the production size. We use the data the customers already have, to develop a model that changes the way we forecast production in the industry. Before you deploy the capital and execute the project, you are going to have a better idea of the maximum potential profitability, so you can make better decisions at any stage from that point.

One of the inspirations for this was Tesla. The automotive industry was failing to provide a self-driving vehicle because it was using mathematical approaches, but Tesla overcame that challenge using data of millions of drivers to drive and park the cars efficiently, optimizing the process.

We are doing exactly the same, which is applying mathematical equations only for drilling forecasts, production forecasts, and using the data from the wells to see how the projects are behaving. We also integrate the modules so every single module is communicating with each other at every stage to correlate back to a production forecast to set your targets or operation based on that expected return of investment.

Our concept is about the return of investment, in order to develop the ROI concept, you got to plan the events right and the varying size production, that becomes the second component. The third component is about optimization of operations, which is about automation to improve operations and therefore decision-making. We are developing technology that has a very modern interface to automate operations in a more intuitive way so customers can be independent in the process and make the best decisions.

IM: At the moment, there is a need for virtual connections. How does your technology allow certain hands-on tasks to be handled remotely?

CM: In many ways, we have a big project in the Gulf of Mexico. We place technologies that we are using in today's market and deploy a platform that customers can use independently. We can also automate operations to the cloud by just deploying, trimming the data out of the field straight to the cloud so that people in the field can actually use the AI component to optimize operations. We don't require face to face interaction using the cloud environment.

Since the coronavirus these digital components have been on demand, we have grown about 500 percent from the end of Q1 and into the middle of Q2. We are experiencing an acceleration in the adoption of digital technology, but the ability to deploy the technology through the cloud has been instrumental in gaining more traction in the market. As a matter of fact, just as an indicator, we have been hiring people since the start of the coronavirus.

IM: Enovate Upstream started a year ago since then you’ve experienced exponential growth. What are a couple of goals that the company will achieve by the end of the year?

CM: Our strategy is focused on the next level for the company, which is securing funding round with investors in London. We are also aiming to facilitate the deployment of our technology globally. We are focusing on the United States and Latin America, but we hope to expand our funding round to Europe and the Middle East.

Our other goal lies with our partnerships, we are working through a distribution channel, through larger service companies that are facilitating the commercialization of the technology. The focus is on enabling these companies to properly support the customers by doing more technology integration and increasing the value creation.

The next goal is obviously to sustain the company, even though we have been growing, there is a lot of uncertainty in the market, and we are focusing on building the culture of the company, which is challenging in a virtual space.

IM: How has Enovate Upstream navigated an unstable market amid your rapid growth?

CM: That's a good question. I think the lesson is that you can always end up in a different direction. Coronavirus is having a big impact on many businesses, often negatively, but for us, it was instrumental to realize the full potential of the technology we were developing.

We saw that the activity was going from operations to the financial sector with companies selling assets to sustain their business. There were a lot of customers trying to decide what kind of wells they need to continue producing, so that was a market that we didn't capture before.

We grew the technology in that direction by starting a second company called Energy Partners. We created a joint venture with some producers in South Texas to make better decisions in asset acquisition. It was instrumental for us to realize the full potential on the finance side, as opposed to operations where the initial focus was.

We have assets in South Texas now and from a technology standpoint, it's the ideal way to test our analytic technology. We use our technology to properly evaluate the return of investment to make decisions about acquiring assets to optimize the operations and increase production. We have the opportunity to prove the technology with our investments, so we can actually build trust with customers. We are 100 percent sure that the technology works the way we say it works.

IM: There’s a huge emphasis on sustainability in the energy industry. How does your technology reduce carbon emissions?

CM: There are two kinds of components here. The first one is about optimizing operations — personnel transportation at the field level. We have studied calculations of what carbon dioxide output looks like to reduce it in terms of optimizing transportation, technology, and contributing to innovative ideas. We are currently initiating a feasibility study on a carbon capture technology, and working with customers to provide value in the technology in various aspects.

IM: I see several partnerships have already begun. Are you looking for more and what role do these partnerships play for your business?

CM: We have two partnerships about to close. One is with Telefonica, a Spanish telecommunications company, and another with Pluspetrol, an Argentinian production company. Telefonica provides cybersecurity services to oil and gas companies, we actually work with them to deploy our technology in Latin America and Europe. They provide the cloud and cybersecurity component while we provide the AI component.

In terms of our technology development, Pluspetrol has been one of our partners from the very beginning and we continue developing more technologies with this particular customer. They provide us with access to real data and real operational conditions that facilitate technological innovation.

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