AI App Development Company
DevCenter is an AI app development company building LLM-powered mobile and web products, AI agents, generative AI features, and intelligent automation. We ship production AI apps for startups and enterprises in the USA, UK, and Europe.
AI App Development Services
From a single AI feature to a full agentic product, our AI app development services span the entire stack — model selection, orchestration, mobile UX, and observability.
LLM-Powered Apps
ChatGPT, Claude, and Gemini-powered mobile and web apps with streaming UX, prompt engineering, and tight guardrails.
AI Agents
Autonomous agents that plan, use tools, and complete tasks. Built on LangGraph, the Anthropic Agent SDK, or custom orchestration.
Generative AI Features
Image, video, voice, and text generation embedded into your product. Stable Diffusion, ElevenLabs, OpenAI, and more.
RAG & Knowledge Apps
Retrieval-augmented generation on your private data. Vector stores, semantic search, and grounded responses.
Voice & Chat Agents
Real-time voice agents, conversational chat, and multi-channel bots for Slack, WhatsApp, and Teams.
AI Backend & MLOps
Inference services, fine-tuning, evaluation pipelines, model gateways, and cost-aware caching.
Models & Frameworks We Ship With
We are model-agnostic. We pick the right tool for the task and the budget — frontier when it matters, open-source when it does not.
- OpenAI GPT-4.1, GPT-4o, o-series reasoning models
- Anthropic Claude 4.x family (Opus, Sonnet, Haiku)
- Google Gemini 2.x for multimodal workloads
- Open-source: Llama 3.x, Qwen 2.x, Mistral, DeepSeek
- LangChain, LangGraph, Anthropic Agent SDK, OpenAI Agents SDK
- Vector stores: Pinecone, Weaviate, pgvector, Qdrant
- Inference: vLLM, TGI, Triton, AWS Bedrock, Vercel AI Gateway
- Evaluation: LangSmith, Braintrust, custom eval harnesses
Production-Grade AI Engineering
Most AI demos die on the way to production. We have built the discipline that takes prototypes to scale: structured outputs, guardrails, evaluation in CI, prompt versioning, cost monitoring, and fallback chains across providers.
- Strict tool schemas and JSON-mode outputs
- Prompt injection defenses on every untrusted input
- Eval sets that gate every model and prompt change
- Token budgets, rate limits, and cost dashboards per user
- Multi-provider fallback for reliability
- PII redaction and data-processing agreements with vendors
- Streaming UX so users see tokens as they generate
Industries We Serve With AI
AI is a feature for every industry. We have shipped AI products in healthcare (clinical scribes, triage), legal (document review), finance (research copilots), commerce (recommendations, search), education (tutors), and developer tooling (coding agents).
Turn Your AI Idea Into a Shipped Product
Tell us about the problem. We will scope an AI prototype in a two-week paid trial sprint before any long-term commitment.
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