Hey Austin — I know what you're probably doing right now. You're bouncing around city pages, seeing a lot of the same buzzwords, trying to figure out if anyone actually does anything besides talk about AI. I get it. This page is gonna be a little different. I'm A.I. Consulting LLC, and I help businesses in Austin and beyond make sense of their data and build practical machine learning solutions. No fluff, just real talk about what I do and how I can help your Austin business.
I’m just one guy, operating out of Florida, but I’ve got a knack for cutting through the noise and delivering actual results. If you’re a business owner in Austin, Texas, and you’re wondering how to actually *use* machine learning or data science to solve a real problem, you've come to the right spot. I don't pretend to be a massive agency; what I offer is direct, focused expertise.
## What I actually do for Austin clients
Okay so, when a business in Austin comes to me, they usually have a specific problem. Maybe they're sitting on a ton of customer data and they can't figure out how to predict churn. Or they've got an existing process that takes forever, and they suspect a bit of automation driven by some smart data analysis could really speed things up. I come in, look at your data, and help figure out what’s actually feasible and what’s just pie-in-the-sky.
Most projects fall into a few buckets: building a predictive model (like for sales forecasting or identifying at-risk customers), automating a decision-making process based on data, or setting up a solid data pipeline so you can even *start* thinking about these things. I focus on delivering a working solution, whether it's a small pilot project or a more comprehensive model, not just a fancy presentation. The goal is always to get something tangible into your hands that makes a difference.
## How a Austin engagement usually goes
Here’s how an engagement with an Austin client typically plays out. It's a pretty straightforward process, designed to get us both on the same page quickly and move towards a solution.
1. **Initial Chat & Problem Definition (1-2 weeks):** We start with a 20-minute intro call. If it seems like a fit, I’ll send over a brief questionnaire. Then, we’ll have a more in-depth discussion, usually an hour or two, to really nail down the problem you’re trying to solve and what success looks like. I’ll ask about your data, your existing systems, and what you've tried before. This stage is crucial for making sure I understand the Austin context of your business.
2. **Data Dive & Feasibility (2-4 weeks):** If we decide to move forward, I’ll need access to your data. This is where I roll up my sleeves and get hands-on. I'll clean it, explore it, and see what stories it tells. During this time, I'm also assessing the technical feasibility of the solution we discussed. I'll give you regular updates and let you know if I hit any roadblocks or see any unexpected opportunities.
3. **Solution Development & Iteration (4-12 weeks, project dependent):** Based on the feasibility assessment, I'll start building. This could be developing a machine learning model, setting up an automation script, or designing a data pipeline. I believe in iterative development, so you'll see progress frequently and have opportunities to provide feedback. This isn't a black box; you'll be involved every step of the way.
4. **Deployment & Handoff (1-2 weeks):** Once the solution is built and tested, I'll help you get it deployed and integrated into your existing operations. My aim is to make sure you can use it effectively and understand how it works. I'll provide documentation and, if needed, a bit of training. My goal is to leave you with a functional tool, not just a concept.
## What it costs, roughly
Alright, so money. This is usually the part where people get vague, but I’m gonna be pretty upfront about it. I generally work on a fixed-fee basis for defined projects, or sometimes a retainer for ongoing support, depending on what we decide. This way, you know what you’re paying from the start, and there are no nasty surprises.
For a typical initial engagement – say, a focused pilot project to build a small predictive model or automate a specific task – you’re usually looking at something in the low to mid five figures. More complex or longer-term projects will naturally cost more. I'll give you a clear, itemized proposal after we've had our initial discussions and I understand the scope. I'm not the cheapest option, but I aim to provide good value for Austin businesses looking for real results.
## Who I'm usually NOT a fit for
This is important, because I'm not for everybody. I'm usually not a good fit for companies that need a whole team of data scientists and engineers, or if you're looking for someone to just 'do AI' without a clear business problem in mind. I also tend to not be a fit if you don't have *any* data to work with, or if your data is locked away in systems that are impossible to access. I need something to actually work with, you know?
If you're a massive corporation with endless budgets and complex internal politics, I'm probably not your guy either. I work best with small to medium-sized businesses in Austin who are looking for a direct, no-nonsense approach to solving a specific data or machine learning challenge.
## Getting in touch
If anything I've said here resonates, and you’re an Austin business ready to explore how machine learning or data science could actually help you, I’d love to chat. The first step is simple: just head over to my contact page and book a 20-min call. We’ll talk about your situation, no pressure, no sales pitch, just a real conversation to see if I can help.
FAQs — Austin
How do I know if Machine Learning is worth it for my Austin business?
The best way to figure this out is to think about a specific problem you're trying to solve that involves a lot of data, or a task that's currently done manually but could be improved with predictions or automation. If you have a clear business need and some data, there's a good chance I can help you explore if ML is a viable solution.
Do you work with companies outside Austin?
Yes, absolutely! While I've focused this page on Austin businesses, my consulting services are available remotely to clients all over the U.S. and beyond. The principles of good data science and machine learning apply everywhere.
What does the first 2 weeks of an engagement look like?
The first 2 weeks typically involve an initial call, me sending you a questionnaire to gather more details, and then a deeper dive discussion where we clarify your problem and goals. If we proceed, I'll then request access to relevant data to begin my initial analysis and feasibility assessment.
What kind of data do I need to have?
Ideally, you'll have some historical data that relates to the problem you're trying to solve. This could be customer transaction logs, website analytics, sensor data, or operational records. The more relevant and cleaner the data, the better, but I can also help you figure out what you have and what you might need.
Will I own the models and code you develop?
Yes, absolutely. Once a project is completed and paid for, you will own all the intellectual property, including any models, code, and documentation I develop for your specific project. My goal is to provide you with a functional asset for your business.