AI Development & Integration Services

We build LLM-powered applications, AI agents, RAG knowledge assistants and machine learning models that plug into the systems you already use, with the security, testing and human oversight that real business AI needs.

Our AI Development and Integration Services

From a first AI use case to production systems used every day, we design, build and integrate AI that solves real business problems.

AI Strategy & Consulting - icon

AI Strategy & Consulting

We identify the use cases where AI will pay off, check your data readiness, and give you a clear roadmap, budget and model recommendation before any build starts.

LLM Integration & Generative AI - icon

LLM Integration & Generative AI

We add large language models such as GPT, Claude, Gemini and Llama to your products and internal tools for drafting, summarizing, classifying and answering questions in your own business context.

AI Agent Development - icon

AI Agent Development

We build AI agents that use tool calling to look up records, update systems and complete multi-step tasks, with approval steps wherever a person should stay in control.

RAG & Knowledge Assistants - icon

RAG & Knowledge Assistants

We connect AI to your documents, policies and databases using retrieval-augmented generation and vector search, so answers are grounded in your data and cite their sources.

Conversational AI & Chatbots - icon

Conversational AI & Chatbots

We build chat and voice assistants for customers and staff that understand natural language, hand off to a human when needed, and connect to your CRM, helpdesk or EHR.

Document Processing & Intelligent Search - icon

Document Processing & Intelligent Search

We extract data from PDFs, forms, invoices and scanned records, and build search that understands meaning, not just keywords, across all of your content.

Machine Learning & Predictive Analytics - icon

Machine Learning & Predictive Analytics

We train and deploy machine learning models for forecasting, recommendations, risk scoring and anomaly detection, using your historical data.

AI Integration for Existing Software - icon

AI Integration for Existing Software

We bring AI into the web apps, mobile apps and business systems you already run through secure APIs, without rebuilding everything from scratch.

How We Build Production-Ready AI

A demo is easy. AI that your team can rely on every day needs the right architecture around the model. Every solution we deliver is built in layers:

  • Your data: documents, databases and business systems, cleaned and connected securely.
  • The right model: chosen for accuracy, privacy and cost, from hosted APIs to open models you can run yourself.
  • Orchestration: retrieval, agents, tool calling and workflows that turn a model into a working process.
  • Guardrails & oversight: access controls, content safety, audit logs and human approval for sensitive actions.
  • Evaluation & monitoring: tests for accuracy before launch, then ongoing tracking of quality, usage and cost.
Production-ready AI solutions by Dilijent Systems
How We Work

Our AI Development Process

We take AI from idea to production in six practical steps, proving value early before you commit to a full build.

  1. Discovery & Use-Case Selection

    We map your workflows, pick the use cases with the clearest return, and define measurable success, such as hours saved, accuracy or response time.

    You get: Prioritized AI use cases with success metrics
  2. Data Readiness & Architecture

    We review the data the AI will use, plan security and access, and choose the models, frameworks and hosting that fit your privacy and budget needs.

    You get: Data assessment and solution architecture
  3. Proof of Concept

    We build a working prototype on your real data in a few weeks, so you can see results before committing to a full build.

    You get: Working prototype and accuracy results
  4. Build & Integrate

    We develop the production solution in two-week sprints and connect it to your existing software through secure APIs, adding retrieval, agents and workflows as needed.

    You get: Production AI connected to your systems
  5. Evaluate, Secure & Launch

    We test accuracy against agreed benchmarks, add guardrails and human review for sensitive steps, train your team, and roll out in stages.

    You get: Evaluation report, guardrails and a staged rollout
  6. Monitor & Improve

    After launch we track quality, usage and cost, refine prompts and models, and keep the solution current as better models become available.

    You get: Quality, usage and cost reporting with ongoing tuning
Partner with us - AI/ML

Why Partner with Us for AI Development?

As a software development company in the USA, we focus on AI that works in your real environment, whatever your size or industry. Here’s what sets us apart:

  • Experienced Team
  • Model-Agnostic Approach
  • No Vendor Lock-In
  • Fast Proof of Concept
  • Built on Your Own Data
  • Human Oversight Built In
  • Accuracy Testing Before Launch
  • Data Security and Confidentiality
  • Healthcare & HIPAA Experience
  • Cost Monitoring and Optimization
  • Ongoing Support
Technologies We Use

AI Development & Integration Technology Stack

We build practical AI into your products and workflows using today's leading models and frameworks, with the evaluation, security and human oversight that production AI needs.

Large Language Models

We choose the model for your accuracy, privacy and cost needs, including open models you can host yourself.

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • DeepSeek
  • Mistral
  • Qwen

AI Frameworks & ML

Orchestration for agents and retrieval, plus classic machine learning.

  • LangChain
  • LangGraph
  • LlamaIndex
  • Model Context Protocol (MCP)
  • PyTorch
  • scikit-learn
  • Hugging Face

Backend

APIs and services that run your AI features reliably.

  • Python
  • FastAPI
  • Node.js
  • Model-provider SDKs

Frontend

Interfaces people actually want to use.

  • React
  • Next.js
  • TypeScript
  • Conversational & chat interfaces

Data & Vector Infrastructure

Ground AI answers in your own documents and data.

  • PostgreSQL with pgvector
  • Pinecone
  • Qdrant
  • Weaviate

AI Operations

Keep AI accurate, safe and affordable after launch.

  • Model evaluation
  • Prompt management
  • Guardrails & security
  • Monitoring
  • Cost optimization
  • Human oversight

AI Capabilities We Deliver

  • Retrieval-augmented generation (RAG) on your own data
  • Embeddings and vector search
  • AI agents with tool calling and workflow automation
  • Document processing and data extraction
  • Intelligent search across your content
  • Conversational assistants for customers and staff
  • Predictive models and analytics
  • Integration of AI into existing software

Ready to Put AI to Work in Your Business?

Tell us the problem you want to solve and we will show you how AI and machine learning can help.

Book an AI Strategy Call

QUESTIONS AND ANSWERS

Frequently Asked
Questions

 
Didn’t find your answer?
We will get back to you within 2 hours.
Leave us a message →
  • What AI development services do you offer?

    We offer AI strategy and consulting, LLM integration, AI agent development, RAG knowledge assistants, chatbots and conversational AI, document processing, intelligent search, and machine learning for forecasting and predictive analytics. We also add AI features to software you already use.

  • Which AI models do you work with?

    We are model-agnostic. We work with OpenAI GPT, Anthropic Claude, Google Gemini and open models such as Meta Llama, DeepSeek, Mistral and Qwen, and recommend the model that best fits your accuracy, privacy and cost requirements.

  • What is RAG and why does it matter?

    Retrieval-augmented generation (RAG) lets an AI model look up information in your own documents and databases before it answers. It keeps answers grounded in your data, reduces made-up responses, and lets the assistant show where each answer came from.

  • What is an AI agent?

    An AI agent can take actions, not just answer questions. Using tool calling, it can search records, fill in forms, update systems and complete multi-step tasks. We add approval steps and audit logs so people stay in control of important decisions.

  • How do you keep our data secure and private?

    We use encryption, role-based access and audit logging, and we can keep sensitive data out of model training by choosing enterprise APIs with zero data retention or self-hosted open models. For healthcare clients we design with HIPAA requirements in mind.

  • How do you prevent AI mistakes or hallucinations?

    We ground answers in your data with RAG, test accuracy against real examples before launch, add guardrails, and route sensitive or low-confidence cases to a person. After launch we keep monitoring quality.

  • Can you integrate AI with our existing systems?

    Yes. We connect AI to your web and mobile apps, CRM, ERP, EHR and other business tools through secure APIs, so you do not have to replace the systems your team already relies on.

  • How long does an AI project take?

    A focused proof of concept usually takes a few weeks. A production solution depends on scope, data and integrations, and we give you a clear timeline and estimate after the discovery phase.

— Contact Us —

Let’s talk about your business

Tell us what you need help with and our team will get back to you.

Send us a message

Fields marked * are required.

Your information is kept private.