AI development services: AI that does real work in real products.
From a single AI feature to an AI-native product: model selection, retrieval, tools, evaluation and cost control — engineered like the rest of the system.
Overview
AI development services at MoboDevelopers
AI development at MoboDevelopers means shipping AI that works inside a real product — not a demo. We build LLM-powered features and AI-native products: copilots that understand context, retrieval over your own documents and data, vision and speech where they add value, and assistants that can take approved actions.
Every AI system we build sits behind a provider-neutral model layer. Work is routed to the right model for each task — reasoning models for planning, coding models for code, fast models for small jobs — with automatic fallback when a provider is slow or unavailable. Budgets are reserved before calls, so costs stay predictable, and every call is logged.
We run these practices in our own product, MoboStudio AI, which routes work across Claude, GPT and Gemini and settles every run against a budget. The same engineering goes into AI features for your product, from the first prototype to production.
Capabilities
What’s included in our AI development services.
Multi-model routing
The right model for each task, with automatic fallback when a provider is slow or down.
Retrieval & knowledge
RAG over your documents and data with vector search, citations and access control.
Copilots & assistants
In-product assistants that understand context and can take approved actions.
Vision & speech
Image understanding, OCR, speech-to-text and text-to-speech where they add value.
Cost & quality control
Budgets checked before calls, caching, evaluations and observability on every request.
Guardrails
Validated tool inputs, scoped permissions and secrets that never reach a prompt.
Deliverables
What you get
- AI feature or product
- Provider-neutral model layer
- Evaluation suite
- Usage and cost dashboards
- Security review
- Runbooks
Technology
What we build with
Models
- Anthropic Claude
- OpenAI
- Google Gemini
- Open-source models
Data
- PostgreSQL + pgvector
- Redis
- Object storage
Runtime
- TypeScript
- Python
- Queues & workers
- MCP
MoboStudio AI routes work across Claude, GPT and Gemini with fallback, and settles every run against a budget.
See the productHow we work
From first message to launch.
A simple path with clear decisions at every step — and working software you can click through early.
- 01
Fit review
We read what you sent and come back with questions — not a sales deck.
- 02
Architecture call
We map the system, integration points, risks and the first milestone.
- 03
Scoped proposal
Deliverables, team, cadence and launch path — in writing.
- 04
Build
Working increments you can click through, in a repository you own.
- 05
Launch & evolve
Deployed behind health checks, documented, and handed over — or run with us.
FAQ
Questions, answered.
Which models do you use?
Whichever fits the task and your constraints — commercial APIs, open-source models, or both behind one provider-neutral layer.
How do you keep AI costs predictable?
Budgets are reserved before work starts, calls are capped to what remains, and every charge is logged.
Can AI run on our own infrastructure?
Yes. Open-source models can run on your servers or on-device when data must stay in-house.
Can you add AI to our existing product?
Yes. We integrate AI features into existing web and mobile products through a separate model layer, so you can change providers later without rewriting the product.
How do you stop AI from making things up?
We ground answers in your own data with retrieval, show sources where possible, add evaluations for the tasks that matter, and keep a human in the loop for high-stakes actions.
More ways we build
Let’s build something people haven’t seen yet.
Have a product, platform or ambitious idea? Let’s turn it into working technology.
or write to hello@mobodevelopers.com