AI Software That Actually Works
Off-the-shelf AI doesn't cut it. We build custom machine learning models and AI-powered applications designed specifically for your data, your workflows, and your business goals. No hype — just working AI that delivers measurable results.
What We Build
- ✓Custom ML models trained on your data
- ✓Predictive analytics & forecasting systems
- ✓Natural language processing (NLP) solutions
- ✓Computer vision & image recognition
- ✓AI-powered automation & decision engines
- ✓AI integration with existing systems
Why Custom AI Beats Off-the-Shelf
Generic AI tools were built for everyone. They're okay at everything, great at nothing.
❌ Generic AI Tools
- • Trained on generic, unrelated data
- • Can't leverage your proprietary data
- • One-size-fits-all approach
- • Hidden costs that scale up fast
- • No ownership — you're locked in
- • Poor fit for specialized industries
✓ Custom AI Development
- • Trained specifically on your data
- • Leverages your proprietary knowledge
- • Built around your exact workflows
- • Transparent, predictable pricing
- • You own the model — no vendor lock-in
- • Expert-level accuracy in your domain
What You Get
End-to-end AI development, from data analysis to deployed production system.
Production-Ready Code
Clean, maintainable code with proper testing, documentation, and monitoring built in from day one.
Data Analysis First
We don't start coding until we understand your data. Proper analysis means better models and fewer surprises.
Fast Delivery
We work in sprints. You'll see working software in weeks, not months. Full delivery typically in 4-12 weeks.
Measurable Results
We define success metrics upfront. You'll know exactly what the AI is supposed to achieve and how we're tracking.
Knowledge Transfer
Your team learns to own, maintain, and improve the AI. We're not a black box you depend on forever.
Ongoing Support
Model drift is real. We monitor performance over time and retrain as needed to maintain accuracy.
How We Work
Discovery
We audit your data, understand your workflows, and define success metrics.
Prototype
Fast proof-of-concept in 2-3 weeks.验证可行性 before full investment.
Build
Full development with weekly demos. Sprint-based delivery.
Deploy & Monitor
Production deployment with monitoring, documentation, and training.
"We had data sitting in spreadsheets for years. Baio built us a predictive model that now forecasts demand with 94% accuracy. We reduced inventory costs by 23% in the first quarter alone. The ROI was immediate."
Common Questions
How long does a custom AI project take?
A typical project runs 6-16 weeks from discovery to production. A prototype that validates the approach can be ready in 2-3 weeks.
What data do we need to get started?
We work with your existing data — databases, spreadsheets, logs, etc. If you don't have much data yet, we can discuss synthetic data strategies or incremental data collection.
Do we need ML expertise on our team?
No. We design solutions that your team can actually operate. We provide full documentation and training. For ongoing ML needs, we offer retainer arrangements.
What about data privacy and security?
Your data stays yours. We can work on-premise, in your cloud environment, or in isolated setups. We're happy to work within your existing security frameworks.
Ready to Build Something Smart?
Tell us about your data and what you want to predict or automate. We'll give you an honest assessment of what's achievable and what it would take.
- ✓ Free initial consultation
- ✓ Data assessment included
- ✓ Fixed-price quotes, no surprises
- ✓ NDA available on request