AI & ML That Actually Does Something
Everyone's talking about AI. Most of it is hype. Here's what we actually build - and what it actually does for your business. No buzzwords. Just math applied to your real data.
What We Build
Real Problems, Real Models
Snowflake Cortex ML
Your data already lives in Snowflake. Why move it somewhere else to run ML? We build classification, forecasting, and anomaly detection models that run right where your data sits - using Cortex ML functions. No extra infrastructure. No data movement headaches.
Predictive Analytics
You want to know which customers are about to leave before they leave. Or which inventory SKUs will spike next quarter. Or when that machine on the floor is going to fail. That's what we build. No magic - just math applied to your actual data.
Natural Language Processing
Your support team handles hundreds of tickets a day. We build models that auto-classify, route, and even draft responses - so your people handle the hard stuff and machines handle the repetitive stuff. Same goes for contracts, surveys, and any pile of unstructured text.
Computer Vision & IoT
A camera on a production line catches defects that a tired human eye misses at 2 AM. Sensors on equipment flag problems before something breaks. We wire up vision and IoT data streams into models that spot what people can't - at scale, around the clock.
Generative AI Integration
LLMs are powerful, but they make things up if you let them. We build RAG architectures connected to your Snowflake data so the AI answers from your actual information, not its imagination. Plus prompt tuning for your domain and guardrails that keep outputs honest.
MLOps & Model Management
A model that was accurate six months ago might be garbage today. Data drifts. Business changes. We set up automated retraining, version control, performance monitoring, and A/B testing - all the unsexy stuff that keeps your models actually useful over time.
How We Work
No Surprises. Here's the Process.
Look at Your Data First
We start by understanding what data you actually have, how clean it is, and whether it can answer the question you're asking. No point building a model on bad data.
Prove It Works (or Doesn't)
A focused 2–4 week proof of concept with your real data. If the numbers don't justify going further, we'll say so. We'd rather save you money than sell you a project.
Build It for Real
We deploy on your existing cloud - Snowflake, Azure, AWS, whatever you're running. You own the models. No lock-in to our platform or anyone else's.
Keep It Accurate
Models go stale. We set up monitoring, drift detection, and automated retraining so your predictions stay sharp as your business and data change.
What's Under the Hood
Tools We Actually Use
Honest Answers
to Common Questions
Nope. We handle the ML engineering. Your team just needs to know what questions they want answered. If you have data engineers or analysts, great - they can maintain things day-to-day. If not, we offer managed services so you don't have to think about it.
You'll have a working proof of concept in 2–4 weeks - built on your real data, not a demo dataset. If the POC looks good, full production usually takes 8–16 weeks depending on how many systems we need to connect to.
A lot, actually. Snowflake Cortex lets us run ML models right where your data lives - no extraction, no moving things around, no extra security headaches. It's faster to build and easier to maintain. If your data is in Snowflake, you're already ahead of most companies we talk to.
Got a Problem That Needs Real AI?
Tell us what you're trying to solve. We'll be straight with you about what's doable, what's not, and what it would take.
Tell Us About Your Project