RDIGI WORKS

Home / Services / AI Development

ARTIFICIAL INTELLIGENCE & AUTOMATION

Enterprise AI Development & Machine Learning Engineering

Integrate machine learning, generative AI, natural language processing, and automated decision engines to transform your operational efficiency and customer experiences.

Request AI Consultation View Case Studies
LLM & RAGKnowledge Search
Predictive MLData Modeling
Enterprise DataZero-Retention Privacy
AI & Machine Learning Engineering

Enterprise Artificial Intelligence Solutions

We build production-ready AI solutions tailored to enterprise operational and commercial objectives.

Custom LLM & RAG Architecture

Private Retrieval-Augmented Generation (RAG) models enabling teams to query internal documents, manuals, and customer history securely.

  • Vector database embeddings
  • Strict tenant data privacy
  • Sub-second query responses

Predictive Analytics & Machine Learning

Custom machine learning algorithms for demand forecasting, customer churn prevention, pricing optimization, and anomaly detection.

  • Demand & revenue forecasting
  • Automated pattern detection
  • Python & PyTorch engineering

Intelligent Process Automation

AI-driven document processing, OCR extraction, automated customer support routing, and workflow triggers.

  • Document OCR & data parsing
  • Conversational AI assistants
  • Seamless API orchestration
AI TECH STACK

Technologies Powering Our AI Solutions

Python Python AI/ML PyTorch / TensorFlow Node.js Node.js AWS AI AWS Bedrock / SageMaker Next.js Next.js Frontend
FREQUENTLY ASKED QUESTIONS

Everything You Need to Know About Enterprise AI Development

What AI development services do you provide?

We offer custom Machine Learning (ML) model development, Natural Language Processing (NLP), Conversational AI / LLM integration, predictive analytics, computer vision, and workflow automation.

Can you integrate OpenAI, Claude, or Gemini APIs into our existing software?

Yes, we integrate leading LLM APIs (OpenAI GPT-4, Claude 3.5, Google Gemini) alongside custom RAG (Retrieval-Augmented Generation) architectures for secure, internal business knowledge querying.

How is proprietary business data kept secure during AI integration?

We deploy private API endpoints, enterprise data isolation, zero-retention model configurations, and role-based token permissions so your business data is never exposed or used for public model training.

How long does an AI integration or custom ML project take?

Initial proof-of-concept (PoC) and RAG integrations typically take 4 to 6 weeks, while production enterprise ML systems take 8 to 14 weeks.

Empower Your Business with Enterprise Artificial Intelligence

Let's explore your AI & automation use case. Get a free AI architecture consultation and project plan within 24 hours.

Request AI Consultation