Fixed scope
A defined build with a fixed quote and timeline. Best for MVPs and websites.
AI-powered apps
AI features that are useful, not just demos
Chat assistants, document intelligence, OCR, and on-device ML — scoped honestly, built to run at a cost your business can live with.
What we deliver
The hard part of AI isn't the demo — it's making features reliable, affordable, and private enough for production. That's the part we're good at.
- LLM-powered chat and assistants built on the Gemini API
- Receipt and document OCR with structured data extraction (ML Kit)
- Recommendation and personalization features grounded in your data
- Camera, vision, and speech features using on-device ML
- Honest AI feature scoping — what's feasible, what it costs, what to skip
- Cost-aware architecture: on-device inference, caching, and sensible rate limits
Typical stack
A good fit if you…
- Want to add AI features to an existing product
- Have a document-heavy workflow begging for automation
- Are building an AI-first MVP and need pragmatic guidance
- Aren't sure what AI can do for you — we'll scope it honestly
Engagement
Three ways to work with us
Monthly retainer
Ongoing development and support with a predictable monthly budget.
Team extension
Senior engineers embedded with your team, working in your process.
FAQ
Common questions
Which AI models do you use?
Mostly Google's Gemini API for language features and ML Kit or TensorFlow Lite for on-device vision, OCR, and speech. We pick per feature based on quality, latency, privacy, and running cost.
Won't AI features be expensive to run?
They can be if built naively. We design around on-device inference where possible, cache aggressively, and set sensible usage limits — you'll see projected running costs before we build.
Can you add AI to our existing app?
Yes — that's our most common AI engagement. We integrate into your current codebase, whether or not we originally built it.
How do you handle our data?
Minimal data leaves the device by default, provider terms are reviewed with you, and where privacy is critical we favor fully on-device processing.
Next step
Ready to build something that grows?
Tell us about your product. You'll get a straight answer on approach, timeline, and cost — usually within 24 hours.