Generative AI Development Company & GenAI Consulting

Generative AI Development

Generative AI development company for chatbots, knowledge assistants and LLM apps

We're a generative AI development company and GenAI consulting partner. We build AI chatbots, knowledge assistants trained on your own documents, and GenAI features inside the apps you already use, tested for accuracy before they reach your users. Based in Bangalore, working with teams in the US, UK and UAE.

What generative AI does for a business

AI that writes, answers and explains, using your knowledge

Generative AI understands questions in plain language and writes answers, summaries and drafts. On its own it knows a lot about the world and nothing about your business. That is where most projects go wrong.

We connect it to your documents, policies and data, so it answers about your products, your customers and your rules, and shows where each answer came from. Then we test it for accuracy before anyone relies on it.

What's included

Generative AI development services

01

Chatbots & Conversational AI

AI assistants for websites, apps, WhatsApp, and support channels. This is our most requested GenAI service.

Explore AI chatbot development
  • Website and app chatbots
  • WhatsApp and support channels
  • Hand-off to your team
02

RAG & Custom Knowledge Assistants

AI trained on your own documents, policies, and data, so it gives accurate business-specific answers.

Explore RAG and AI knowledge assistants
  • Answers from your own documents
  • Sources shown with every answer
  • Access control per user
03

LLM Integration into Apps

Adding GenAI features into existing web apps, mobile apps, ERPs, and CRMs, such as summarization, content drafting, smart search, and image generation.

Explore LLM development and ChatGPT integration
  • Summarization and drafting
  • Smart search
  • Image generation

Not sure which one fits your business?

Tell us what you'd like AI to answer, write or find, and we'll suggest where to start.

Book a free AI consultation

Where it fits

Generative AI use cases for every team

Customer support

  • Answers customer questions on your website, app and WhatsApp
  • Replies from your help center and policies
  • Hands complex questions to your team
Explore AI chatbot development

Sales

  • Answers product questions from leads
  • Drafts proposals from past proposals
  • Summarizes calls and meetings
Explore LLM development and ChatGPT integration

Marketing

  • Drafts posts, emails and ad copy in your brand voice
  • Writes product descriptions from your product data
  • Turns long content into short summaries
Explore LLM development and ChatGPT integration

HR

  • Answers policy and leave questions from your handbook
  • Drafts job descriptions
  • Summarizes candidate profiles
Explore RAG and AI knowledge assistants

Operations

  • Answers questions from manuals and SOPs
  • Searches across your systems by meaning
  • Summarizes long reports
Explore RAG and AI knowledge assistants

Product and engineering

  • Adds summaries, drafting and search to your app
  • Answers questions from your technical docs
  • Builds custom LLM features for your users
Explore LLM development and ChatGPT integration

Have a use case that isn't listed here?

If your team reads, writes or searches a lot every day, generative AI can probably help. Tell us about it.

Talk to our team

By industry

Generative AI use cases by industry

All industries

Banking and financial services

Answers from product and policy documents, and summaries of long reports.

Ecommerce and retail

Product questions answered, and product descriptions written from your catalog data.

Hotels and restaurants

Guest questions answered on WhatsApp and your website, any time.

Textile and manufacturing

Answers from technical specs, SOPs and quality documents.

Healthcare

Answers to patient questions about services and timings, and summaries for staff.

Why hire us

Hire generative AI developers who build for production

How we work

From first conversation to production

  1. 1

    Discovery call

    We learn what you want AI to answer, write or find, and which data it needs.

  2. 2

    2-week pilot

    A working solution on your own data, tested on real questions.

  3. 3

    Build

    We connect your systems and channels, and add access control and monitoring.

  4. 4

    Launch and improve

    We go live, review answers with your team and keep improving it.

Start with a 2-week pilot

A working GenAI solution on your own data, before you commit to more.

Book a free AI consultation

Tools

Tools and models we build generative AI with

Language models
  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Open-source models such as Llama
Frameworks
  • LangChain
  • LangGraph
Knowledge and RAG
  • Vector databases such as Pinecone and pgvector
Channels
  • Website
  • Mobile apps
  • WhatsApp
Connections
  • REST APIs
  • Webhooks
  • MCP (Model Context Protocol)

In the US

Generative AI Development services across the US

We work with teams in these cities. Each page covers the industries and rules that matter there.

FAQ

Questions about Generative AI Development

Ask us something else
What does a generative AI development company do?

A generative AI development company designs, builds and runs AI that writes, answers and summarizes for your business. We build chatbots, knowledge assistants on your own data and GenAI features for your apps, and test them for accuracy before launch.

What does generative AI consulting include?

We help you find the use cases worth building, check whether your data is ready, choose the right models, and estimate cost and timeline. Then we can build the first solution with you, often starting with a 2-week pilot.

Can I hire generative AI developers for my own project?

Yes. You can hire our generative AI developers to build a new solution, or to work alongside your team on one you have already started.

What is RAG and why does it matter?

Retrieval-augmented generation (RAG) finds the most relevant passages in your own content and gives them to the language model with the question, so answers are grounded in your data and can show their sources.

Do we need to fine-tune a model?

Often not. Good retrieval and prompt design solve most business use cases. We recommend fine-tuning only when tests show it clearly improves quality, cost or speed.

How do you keep our data private?

We design around your security rules: private deployments where needed, access control on every answer, no training on your data without your consent, and full logging.

How long does a generative AI project take?

A chatbot or knowledge assistant for one use case usually takes 2 to 4 weeks. Larger solutions across several systems usually take 6 to 10 weeks. We often start with a 2-week pilot.

Get in touch

Tell us your requirements

Share what you'd like to build or automate. We'll reply by email to set up a free consultation.

  • Free consultation, no commitment
  • Talk to the people who will build it
  • Your details stay with us