AI Support Assistant
A 24/7 in-app assistant that answers from your own docs (RAG), deflects tickets and hands off to a human when it matters.
AI is no longer a feature you bolt on — it's the reason users pick one app over another. We build React Native apps with Claude & GPT inside, from smart assistants to prediction engines. Here are the ideas, and how we ship them.
Not "AI for AI's sake" — each of these solves a real, billable problem. Pick one, or bring your own and we'll scope it.
A 24/7 in-app assistant that answers from your own docs (RAG), deflects tickets and hands off to a human when it matters.
AI fare / price prediction based on demand, time and traffic — like we built into Station. Transparent pricing users trust.
Pair people, jobs, venues or products by intent — not keywords. Embeddings + ranking that gets better as data grows.
Snap a photo → AI extracts, classifies and files it. Invoices, IDs, receipts, forms — OCR plus an LLM that understands context.
Hands-free, natural-language control of your app. Speech-to-text, intent, and an LLM that actually does the task.
Personalised plans, form feedback and check-ins that adapt to the user — coaching that feels one-to-one at scale.
Captions, listings, replies, summaries — on-brand content generated in-app so users ship faster and stay longer.
Turn raw data into plain-English insights and next actions — a "talk to your data" layer on dashboards.
Lead scoring, follow-up drafting and call summaries inside your CRM app — reps sell, AI handles the admin.
Adaptive lessons, instant Q&A and auto-graded practice — like POPProbe's LMS, with an AI that meets each learner.
Natural-language product discovery and recommendations that lift basket size and cut returns.
Real-time content moderation, fraud signals and SOS triage — keep your community and platform safe at scale.
We start from the outcome — the manual step to kill or the metric to move — and write the test cases that prove the AI works before we build it.
Claude or GPT, RAG vs fine-tune, on-device vs cloud, single call vs agent. We choose for accuracy, latency and cost — not hype.
The AI ships inside a real product — clean UX, a MERN backend, vector store, caching and guardrails for when the model is wrong.
Instrumented from day one — cost, latency and quality visible. We launch behind a human-in-the-loop, then expand as the data earns trust.
High-intent demand around React Native & AI — the conversations we're having with founders every week.
30 minutes with a senior engineer who ships AI for a living. We'll tell you honestly whether AI is the right call — and what it takes.