Foundation & Custom LLM Integration
Secure connection to OpenAI, Anthropic, Gemini, and open-source models (Llama, Mistral) with streaming response pipelines and fallback redundancy.
AppMarketo Services
AI App Development
Embed powerful AI capabilities, computer vision, and custom LLM workflows into responsive mobile and web applications.
We engineer end-to-end AI-powered mobile and web applications. By pairing robust engineering architecture with modern model orchestration, we help products deliver real-time predictive insights, natural language comprehension, and personalized user flows.
Who it helps: SaaS founders, enterprises, and growth-stage startups looking to integrate proprietary or foundation AI models into intuitive native or cross-platform applications.
Service Overview
A practical approach to AI App Development
We engineer end-to-end AI-powered mobile and web applications. By pairing robust engineering architecture with modern model orchestration, we help products deliver real-time predictive insights, natural language comprehension, and personalized user flows.
We begin by understanding your current setup, priorities and constraints. Recommendations are based on the requirements of your project rather than a one-size-fits-all package.
Capabilities
What we can help you with
Choose the capabilities that match your project scope. The exact deliverables are agreed during discovery.
On-Device & Edge AI Inference
Implementation of CoreML, TensorFlow Lite, and ONNX Runtime for instant local processing without heavy cloud overhead.
Vector Database & RAG Workflows
Context-aware retrieval architectures powered by Pinecone, Qdrant, or pgvector for domain-specific user interactions.
Privacy-First Token & Data Governance
Anonymization gateways, PII filtering, and SOC2-aligned caching policies to safeguard client intellectual property.
Our Process
From discovery to delivery
A collaborative process keeps goals, scope and next steps clear throughout the engagement.
AI Feasibility & Model Selection
Evaluating latency constraints, cost trade-offs, and dataset requirements.
Pipeline Architecture & UX Prototyping
Designing streaming UI states, error handling, and prompt structures.
Engineering & Local Benchmark Testing
Integrating SDKs, fine-tuning retrieval logic, and profiling memory usage.
Deployment & Cost Telemetry
Live telemetry to monitor accuracy, drift, latency, and infrastructure spending.
Tools & Technologies
Technology selected for the job
The tools below are examples of technologies relevant to this service. The final selection depends on your existing systems, requirements and preferred platforms.
PythonFastAPICoreMLTensorFlow LitePyTorchLangChainLlamaIndexPineconeOpenAI API
FAQs
Questions about AI App Development
We implement enterprise-grade API gateways that sanitize PII before transmission, leverage zero-data-retention agreements where available, and implement client-side encryption.
Yes. For supported mobile hardware, we deploy quantized models via Apple CoreML and TensorFlow Lite for completely offline text, audio, or vision processing.
We build semantic caching layers, prompt optimization routines, and dynamic model routing (using lightweight models for triage and larger models only for complex tasks).
Discuss your AI App Development project
Share your goals and current challenges. We will help you identify the next steps and discuss a suitable scope.