Generative AI Solutions Company In India

AI That Creates, Writes,
Designs & Builds At Unlimited Scale

Generative AI that speaks your brand voice — custom-trained on your data, integrated into your workflows, and generating content, code, images, and responses that your team couldn’t produce fast enough. Not generic ChatGPT. Real, fine-tuned intelligence for your business.

We Work With Clients Globally — Not Just Delhi NCR Remote-friendly process · Zoom / Meet / WhatsApp · International payments accepted

🇮🇳 India

🇬🇧 UK

🇦🇪 UAE

🇺🇸 USA

🇨🇦 Canada

🇦🇺 Australia

What We Build

9 Generative AI Solutions
Built Specifically for Your Business

Every Gen AI solution we build is fine-tuned on your brand voice, your data, and your workflows — not a generic wrapper around ChatGPT. Click any card to get a free proposal.

We Choose the Right Gen AI Model
for Each Use Case

Text, image, audio, video — different modalities need different foundation models. We select and fine-tune the right one for your specific output type and quality requirements.

OpenAI GPT-4 / 4o

Best for Text Generation

The gold standard for text generation — ideal for content writing, sales copy, email campaigns, proposals, and knowledge assistants. GPT-4o for faster, multimodal generation combining text, vision, and voice in a single model.

Fine-tuning on domain-specific data

Function calling for workflow automation

Vision for image understanding

DALL-E 3 for image generation

Whisper for speech-to-text

TTS for text-to-speech

Stable Diffusion & Midjourney

Best for Image Generation

For businesses that need on-brand visual content at scale — product images, marketing banners, social creatives, and illustration assets. Stable Diffusion XL fine-tuned on your brand guidelines generates consistent visuals automatically.

Fine-tuned on your brand visuals

Consistent style across all outputs

LoRA training on your products

Background removal & editing

ComfyUI workflow automation

Batch generation for catalogues

Meta LLaMA & Open Source

Best for Private & On-Premise

For organisations that cannot send proprietary content to external APIs — legal firms, hospitals, financial institutions. We deploy and fine-tune LLaMA 3 or Mistral on your own servers. Your data never leaves, zero per-token costs at scale.

On-premise — data never leaves servers

LLaMA 3 fine-tuning on your corpus

Zero ongoing API costs at scale

GDPR / HIPAA compliant

LangChain for complex pipelines

Full model control & ownership

Real Deployments

Gen AI We've Actually Deployed —
With Measurable Business Results

Not hypothetical examples. These are Generative AI systems we built, trained on real client data, and measured against real business outcomes.

E-Commerce · Fashion Brand

Product Description Generation at Scale

A D2C fashion brand with 2,400 SKUs was spending 3 weeks manually writing product descriptions for every new collection. We built a fine-tuned GPT-4 model trained on their top-performing product copy. It now generates all descriptions in 4 hours, with a human review step before publishing.

3 weeks → 4 hours · 2,400 SKUs covered

EdTech · Online Coaching

SEO Blog Content Automation

An EdTech company needed 80 SEO articles per month across 12 subjects to maintain organic traffic — but their content team could only produce 20. We built a RAG-powered content system trained on their curriculum and writing style. AI drafts, editor reviews, editor approves. Now 90 articles/month.

20 → 90 articles/month · 65% less writing time

B2B Agency · Gurgaon

Automated Sales Proposal Generation

A digital agency was spending 4–6 hours per custom proposal. We built an AI proposal generator trained on their 3-year portfolio of winning proposals. Sales team inputs client name, industry, and requirements — AI generates a complete, formatted PDF proposal in 8 minutes. Review and send.

5 hrs → 8 mins per proposal · 3× more proposals sent

Enterprise · 200-person Company

Internal AI Knowledge Assistant

A 200-person company had 8 years of SOPs, policy documents, and process manuals that employees couldn't find or read in time. We built a RAG-powered internal assistant on their document library. Employees ask questions in plain English and get accurate, cited answers from the right document instantly.

80% reduction in "where is the SOP?" messages

Retail · E-Commerce · 50,000 Customers

Hyper-Personalised Email Campaigns

A retail brand was sending the same email to 50,000 customers. We built a Gen AI personalisation layer that generates a unique email for each customer segment based on purchase history and browsing behaviour. Every customer gets a different subject line, body, and product recommendation.

+34% open rate · +28% click-through rate

D2C Brand · Product Launch

Automated Product Reel Generation

A D2C skincare brand was spending ₹40,000 per video shoot for 4 Reels. We built an AI video pipeline that generates branded product Reels from product photos and descriptions — complete with captions, voiceover, and music. They now produce 20 Reels/week at a fraction of the cost.

₹40K/shoot → ₹800/reel · 20 Reels/week

Our Approach

Why Generic AI Tools Fail —
and How We're Different

ChatGPT knows everything and sounds like nothing. It has no idea what your brand sounds like, what your customers care about, or what your best-performing content looks like. We fix that.

Fine-Tuned on Your Brand Voice

We train the AI on your best existing content — your top-performing blogs, emails, and product copy — so it generates new content that sounds exactly like you. Not generic AI text. Your voice, your tone, your style.

RAG — Grounded in Your Real Data

Generative AI hallucinates when it doesn't know something. We use RAG (Retrieval Augmented Generation) to ground every AI response in your actual documents, pricing, and policies — so it never makes things up about your business.

Human Review Always in the Loop

We build Gen AI systems with a human review step, not full autopilot. AI drafts, human approves. This catches the 5% of outputs that need adjustment before they reach your customers — maintaining quality at scale.

Integrated Into Your Workflow

We don't give you a standalone Gen AI tool that requires copy-pasting. We integrate it directly into your CMS, email platform, ERP, or app — so content generation happens inside the tools your team already uses every day.

Measured on Output Quality & Speed

We set quality benchmarks before launch — accuracy score, on-brand rating, time saved per content piece — and measure every month. You get a monthly report showing exactly how much time and money the system is saving you.

Your Data Stays Private

Your content, documents, and customer data are never used to train OpenAI's general models. For sensitive industries, we deploy open-source models on your own servers — zero data leaves your infrastructure.

How We Work

From Your Content Problem
to Automated Generation — 5 Steps

We don't hand you a ChatGPT wrapper and call it a solution. Every Gen AI system we build is trained, tested, and integrated — with measurable quality benchmarks before going live.

Content Audit

We analyse your existing best content — top-performing blogs, emails, product copy — to understand your voice, style, and what quality looks like for your brand.

Training & Fine-Tuning

Foundation model selected and fine-tuned on your data. RAG layer built if needed. Quality benchmarks defined and agreed before any content reaches you.

Pilot & Calibrate

100-piece pilot run with your team reviewing every output. Feedback incorporated into the model. We refine until quality consistently meets your standard.

Integrate & Automate

Gen AI system connected to your CMS, email platform, ERP, or app. Review dashboard built for your team. Human-in-the-loop workflow configured.

Scale & Report

Full production launch. Monthly quality and output reports sent. Retraining cycles run quarterly to incorporate new content and style updates.

Technology Stack

The Gen AI Stack Behind
Every Solution We Build

The same foundation models and tools used by the world's leading AI labs — combined with custom fine-tuning pipelines and integration frameworks built specifically for your use case.

OpenAI GPT-4 / 4o

Meta LLaMA 3

Mistral 7B / 8×7B

Google Gemini Pro

Anthropic Claude

Pinecone / Weaviate RAG

LangChain / LlamaIndex

MLflow Fine-tuning

Stable Diffusion XL

DALL-E 3

Midjourney API

ComfyUI Workflows

BG Removal AI

Runway / Kling Video

OpenAI Whisper

OpenAI TTS

ElevenLabs Voice Clone

Suno AI Music

Python Audio Pipeline

Hindi TTS / STT

AWS SageMaker

Google Vertex AI

Docker

Python / FastAPI

GitHub Actions

Weights & Biases

FAQ

Generative AI Questions —
Answered Without the Hype

Gen AI is the most over-marketed technology right now. Here are straight answers to what it can and cannot do for your business.

What's the difference between ChatGPT and the Gen AI you build?

ChatGPT is a general-purpose model — it knows about everything and sounds like nothing in particular. It has no idea what your brand voice sounds like, what your products are, or what your customers care about. When you use ChatGPT for your business content, you get generic AI text that sounds like every other business using ChatGPT. What we build is trained specifically on your data — your best-performing content, your brand guidelines, your product catalogue — so the output sounds like you wrote it, not like a machine. The difference is immediately obvious when you compare outputs side by side.

Will the AI content sound robotic or be detected as AI?

Generic AI content sounds robotic because it's been generated by a model that's never read your specific content or understood your brand. Fine-tuned AI — trained on your actual writing — generates content that is significantly harder to distinguish from human-written copy, because it has learned your specific vocabulary, sentence patterns, and stylistic choices. That said, we always recommend a human review step for public-facing content. Our Gen AI systems are designed to accelerate human writers, not replace them — they produce a high-quality first draft that a human editor refines and approves.

How much content do you need to train the AI on my brand?

For fine-tuning a text generation model on your brand voice, we typically need 50–200 high-quality examples of your best content — existing blogs, emails, product descriptions, or marketing copy. Quality matters more than quantity. For RAG knowledge bases, we need your source documents in digital format — PDFs, Word documents, spreadsheets, or web pages. For image generation fine-tuning (training the AI on your brand visuals), we need 30–100 examples of your branded images or product photos. If you have less than this, we can still build an effective system using prompt engineering and RAG — fine-tuning is just one approach.

Is Gen AI suitable for regulated industries like healthcare and finance?

Yes — with the right architecture. For regulated industries, we deploy Gen AI using one of two approaches: (1) Private deployment using open-source models like LLaMA 3 on your own servers, where your data never leaves your infrastructure; or (2) Microsoft Azure OpenAI, which offers the same GPT-4 models under enterprise data processing agreements that guarantee no training on your data. For healthcare, we are mindful of patient data privacy and build explicit data handling controls. For financial services, we build compliance review steps into the workflow. We have built Gen AI for medical content, financial report writing, and legal document generation — always with appropriate safeguards.

How long does it take to build and deploy a Gen AI solution?

A RAG knowledge base system is typically live in 2–3 weeks. A fine-tuned content generation system with a review dashboard takes 3–5 weeks depending on data preparation complexity. Image generation systems with Stable Diffusion fine-tuning take 3–4 weeks. Full multi-modal Gen AI workflows (text + image + voice) take 6–10 weeks. We always provide a specific delivery timeline in your proposal before any work starts. For businesses that want to start fast, we can often deliver a working prototype in week one and the full system in weeks 3–4.

Can you build Gen AI that works in Hindi?

Yes — Hindi, Hinglish, and regional Indian languages are fully supported. GPT-4 has strong Hindi language capability, and we have built fine-tuned models for Hindi content generation, Hindi customer service chatbots, and Hindi-English bilingual systems. For voice applications, we use dedicated Hindi TTS and STT models for natural-sounding Hindi audio generation and recognition. For businesses serving both urban and tier-2/3 markets, we can build systems that switch intelligently between Hindi and English based on customer preference.

Free Gen AI Feasibility Assessment

Ready to Generate Content
At a Scale You Can't Hire For?

Get a free 45-minute assessment — we'll look at your content workflows, identify the highest-ROI automation opportunities, and show you exactly what a fine-tuned Gen AI system would produce for your brand.

WhatsApp Us Now

Generative AI Solutions Company In India

AI That Creates, Writes,
Designs & Builds At Unlimited Scale

9 Generative AI Solutions
Built Specifically for Your Business

We Choose the Right Gen AI Model
for Each Use Case

Gen AI We've Actually Deployed —
With Measurable Business Results

Why Generic AI Tools Fail —
and How We're Different

From Your Content Problem
to Automated Generation — 5 Steps

The Gen AI Stack Behind
Every Solution We Build

Generative AI Questions —
Answered Without the Hype

Ready to Generate Content
At a Scale You Can't Hire For?

Company

Services

Solutions

Industries We Serve

Contact Us

Message Sent Successfully!

Generative AI Solutions Company In India

AI That Creates, Writes, Designs & Builds At Unlimited Scale

Proposal Request Sent!

9 Generative AI SolutionsBuilt Specifically for Your Business

We Choose the Right Gen AI Modelfor Each Use Case

Gen AI We've Actually Deployed —With Measurable Business Results

Why Generic AI Tools Fail —and How We're Different

From Your Content Problemto Automated Generation — 5 Steps

The Gen AI Stack BehindEvery Solution We Build

Generative AI Questions —Answered Without the Hype

Ready to Generate ContentAt a Scale You Can't Hire For?

Company

Services

Solutions

Industries We Serve

Contact Us

AI That Creates, Writes,
Designs & Builds At Unlimited Scale

9 Generative AI Solutions
Built Specifically for Your Business

We Choose the Right Gen AI Model
for Each Use Case

Gen AI We've Actually Deployed —
With Measurable Business Results

Why Generic AI Tools Fail —
and How We're Different

From Your Content Problem
to Automated Generation — 5 Steps

The Gen AI Stack Behind
Every Solution We Build

Generative AI Questions —
Answered Without the Hype

Ready to Generate Content
At a Scale You Can't Hire For?