AI-Powered Mobile App Development
We build AI features that feel native, not bolted on — assistants, semantic search, summarization, and on-device intelligence wired directly into your mobile UX with the latency and privacy mobile users expect.
What we deliver
- 01AI assistants & chat
- 02RAG & semantic search
- 03Vision & speech
- 04On-device inference
- 05Backend & vector data
Why build AI into mobile now
AI is the new default expectation in apps — done well, it lifts retention; done poorly, it frustrates. We do it well.
Native-feeling AI
Streaming responses and tight UX integration so AI feels like part of the app, not a chat bolt-on.
On-device & private
Keep sensitive data on the device where it makes sense, balancing privacy, cost, and latency.
Grounded, not hallucinating
RAG and semantic search over your data so answers are accurate and trustworthy.
Cost-aware by design
Token, model, and caching strategy that keeps unit economics sane as you scale.
What we deliver
Production AI features, integrated end to end.
AI assistants & chat
In-app assistants with streaming, tools, and context.
RAG & semantic search
Retrieval over your content for grounded answers.
Vision & speech
Image understanding, OCR, and voice features.
On-device inference
Edge models for privacy and offline intelligence.
Backend & vector data
Pipelines, embeddings, and vector stores (Supabase, etc.).
Evaluation & guardrails
Quality, safety, and cost monitoring in production.
How we ship AI features
From a sharp use case to a measured, production AI experience.
- 01
Discover
Align on the product goal, users, constraints, and what success should actually look like.
- 02
Shape the system
Define the mobile architecture, delivery plan, and technical approach before heavy build starts.
- 03
Build
Ship in focused iterations with regular feedback and a strong bias for quality.
- 04
Launch
Get the product out cleanly and confirm the experience holds up under real-world conditions.
- 05
Improve
Refine after launch based on usage, feedback, and edge cases that only appear in production.
- 06
Partner
Stay close as a long-term technical partner — or hand off cleanly with architecture your team can own.
Our AI stack
The models, APIs, and data tools we integrate.
Work that shipped and scaled
A few products we've designed, built, and helped grow — with outcomes that mattered.
Fully offline translation across 200+ languages
Tulk runs Meta’s NLLB-200 entirely on-device — chat, voice, and face-to-face translation with no network after download. Live free on the App Store.
- 200+
- Languages
- Offline
- Network
- ~1.3 GB
- Model
AI mobile app development FAQs
Common questions about adding AI to mobile apps.
Explore related services
Where AI fits in your broader mobile build.
Add AI to your mobile app
Tell us the use case you have in mind. We'll reply within one business day with an AI integration plan.