Generative AI & RAG · Services

Build Generative AI That Knows Your Business

We design and develop generative AI and RAG (Retrieval-Augmented Generation) solutions that connect large language models to your own data. The result is AI that gives accurate, context-aware answers, automates knowledge work, and fits naturally into the way your teams already operate.

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  • Answers with source citations
  • Full IP & code ownership
  • NDA from day one
RAG in action

Answers grounded in your own data.

When someone asks a question, the system searches your documents and data, pulls the most relevant passages, and has the language model answer from them, with sources attached so every response can be checked.

60%Faster data analysis
3XFaster insight generation
24/7Always-on answers
Built on proven AI infrastructure
OpenAI Anthropic Google Gemini Meta Llama Mistral Azure OpenAI AWS Bedrock LangChain LlamaIndex Pinecone Weaviate Qdrant pgvector Elasticsearch SharePoint Confluence
What we build

Generative AI grounded in your data.

We build generative AI systems that go beyond generic chatbots, pulling from your documents, databases, and business systems to deliver reliable answers your teams and customers can trust.

Generic AI models Before

  • × Answers based on public data, not your business
  • × Confident responses with no sources
  • × Knowledge frozen at training time
  • × No control over who sees what

RAG-powered AI After

  • Answers drawn from your own documents and data
  • Every response backed by source citations
  • Knowledge stays current as your data changes
  • Role-based access built into retrieval
Our services

Generative AI built for real business use.

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01

Custom Generative AI Applications

We build AI-powered applications for content generation, summarization, drafting, and workflow automation, designed around your specific business processes and users.

  • Content generation
  • Summarization
  • Drafting
02

RAG Systems & Knowledge Assistants

We develop retrieval-augmented AI assistants that search your internal knowledge, policies, and documentation to deliver accurate, source-backed answers in seconds.

  • Retrieval
  • Citations
  • Knowledge bases
03

LLM Integration & Customization

We integrate leading commercial and open-source language models into your products and platforms, customizing prompts, workflows, and model behavior to match your use case.

  • Commercial LLMs
  • Open-source models
  • Prompt design
04

AI Search & Document Intelligence

We turn large volumes of documents, contracts, and records into searchable, structured knowledge with semantic search, data extraction, and intelligent document processing.

  • Semantic search
  • Data extraction
  • Document AI
Proven results

Real outcomes from real AI systems.

Measurable impact delivered for businesses across security, data, events and consumer AI.

60%Faster data analysis
50%Faster threat response
70%Faster product delivery
99.9%Platform availability
Case study 01

AI-Powered Data Intelligence & Automation

An AI-powered platform that transforms complex data into actionable insights, helping teams automate analysis, improve decision-making, and work more efficiently.

60%Faster data analysis
42%Less manual work
3XFaster insight generation
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What we do

Turning your knowledge into intelligent AI.

We help businesses put generative AI to work on real problems, from answering customer questions to helping teams find information faster.

By combining powerful language models with retrieval from your own data, we build AI that responds with accuracy and context instead of guesswork.

Every solution is built for production. We design the data pipelines, retrieval architecture, evaluation processes, and safeguards needed to keep your AI accurate, secure, and useful as your data and business needs evolve.

Source-backed

Every answer traceable to the document it came from.

Accuracy-tested

Evaluated against real business questions before launch.

Secure by design

Role-based access, secure deployment and data controls.

Always improving

Retrieval and answers tuned as your data grows.

Process

From your data to answers you can trust.

We take your generative AI initiative from idea to production, connecting models to your data and refining them until they deliver consistent, measurable value for your business.

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  1. //01 Discovery

    Discover Use Cases & Data

    We identify high-impact generative AI opportunities and review your data sources, systems, security requirements, and business goals.

  2. //02 Blueprint

    Design the AI Architecture

    We plan the right combination of language models, retrieval strategy, data pipelines, and integrations for your use case.

  3. //03 Delivery

    Build, Test & Refine

    We develop your solution, test it against real business scenarios, and fine-tune retrieval and responses for accuracy and relevance.

  4. //04 Optimization

    Deploy & Improve

    We launch your AI into production, monitor its performance, and continuously improve it as new data, users, and requirements come in.

Key deliverables

Outputs you can count on.

01

RAG Architecture & Data Pipelines

Ingestion pipelines, embeddings, vector databases, and retrieval logic that connect your AI to the right information at the right time.

02

Custom LLM Applications

Production-ready chat assistants, copilots, and AI-powered tools built around your workflows, users, and existing systems.

03

Evaluation, Accuracy & Guardrails

Testing frameworks for response quality, hallucination reduction, source citations, and access controls that keep outputs reliable and compliant.

04

Deployment, Integration & Ongoing Support

Secure deployment into your environment, integration with your platforms and APIs, and continued improvement as your data, users, and requirements grow.

What's included

Everything in one place.

  • Dedicated generative AI team
  • Weekly progress updates
  • Full system & code ownership
  • Post-launch support
  • Data preparation & ingestion
  • Accuracy & evaluation reports
  • NDA & IP protection agreement
  • Documentation & team handover
FAQs

Before you get started.

Answers to the questions we hear most about generative AI and RAG.

Still have questions?

Talk to a generative AI specialist and get clear answers for your data and use cases.

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What are generative AI & RAG development services?

These services cover the design and development of AI applications that use large language models to generate content and answers, with RAG connecting those models to your own data for accurate, business-specific results.

What is RAG and why does it matter?

Retrieval-Augmented Generation lets an AI model search your documents and data before responding. This keeps answers current, grounded in real information, and far less likely to be inaccurate than a standalone model.

Can you build a RAG system on our existing documents and data?

Yes. We work with documents, knowledge bases, databases, CRMs, and other internal systems, preparing and connecting them so your AI can retrieve the right information securely.

How do you reduce AI hallucinations?

We ground responses in your verified data, add source citations, apply guardrails, and test outputs against real scenarios to improve accuracy before and after launch.

Is our data secure with your generative AI solutions?

We build with role-based access controls, secure deployment options, and data handling practices aligned with your security and compliance requirements.