AI DevelopmentGenerative AI

Generate Text, Images,
Code, Audio &
Video at Scale

Custom Generative AI applications that produce real content your business needs — trained on your data, aligned to your brand voice, protected by a 4-layer safety stack.

Text & Copy

Images & Visuals

Code Generation

Audio & Voice

Documents & Reports

Video & Animation

View AI Products

GenAI Studio

6 output types · live generation

Generating

Text · Blog Intro

"In 2025, the average SaaS company spends 47% of its marketing budget on content — yet only 12% of that content ranks on Page 1. The difference between brands that dominate search and those that don't isn't budget..."

Image

Product Hero
Generated

Code

const handler = async

await ai.generate(

prompt, context

)

Audio · TTS

Narrating — 00:42 / 01:18

Session Stats

Outputs284

Cost$2.14

Guardrails3 blocked

Fine-tuned on your voice

Outputs match your brand 95% of the time

4-layer safety stack

Input filter → guardrails → output validation → human review

Output types — text, image, code, audio, docs, video

10–100×

Content output vs manual production

4-layer

Guardrail stack on every deployment

2 weeks

Typical time to first live GenAI feature

Output Types

What Can Generative AI Actually Produce for You?

Browse by output type to see real examples, scale comparisons, and which AI models we use for each.

Text & Copy

10x your written output without adding headcount

Blog articles, product descriptions, email campaigns, social captions, ad copy, legal summaries, technical docs, chatbot dialogue, and more — in your exact brand voice.

Scale comparison

4 articles/week

manual

40 articles/week

with GenAI

10× output

Models we use

GPT-4oClaude 3.5 SonnetGemini 1.5 ProFine-tuned Llama 3.1

Real Output Examples

SEO Blog Article

"The Ultimate Guide to HIPAA Compliance for SaaS Products in 2025 — covering the 7 technical safeguards, breach notification rules, and a 30-day implementation checklist..."

Generation time

~2,400 words, 12 sec

Quality notes

Human-edited, brand voice trained

Use Cases

E-commerce product descriptions

News & editorial content

Marketing copy at scale

Legal document drafting

Technical documentation

Localisation & translation

Scale Math

The Economics of Generative AI — Before vs After

GenAI's real value is not replacing humans — it's multiplying their output 10–100× at a fraction of the marginal cost.

E-commerce Product Descriptions

99× cost reduction

Manual

20 descriptions/day

₹8,000/day (copywriter)

Writer capacity & research time

With GenAI

2,000 descriptions/day

₹400/day (API cost)

None — scales on demand

Immediate

Marketing Blog Articles

95% cost reduction

Manual

2 articles/week

₹12,000/article (agency)

Research, brief, review cycles

With GenAI

20 articles/week

₹600/article (gen + edit)

Human final review

10× output same budget

Customer Support Email Drafts

89% cost reduction

Manual

50 emails/agent/day

₹250/email (fully loaded)

Agent typing + research time

With GenAI

500 emails/agent/day

₹27/email (draft + approve)

Agent approval only

10× agent throughput

Sales Proposal Documents

97% cost reduction

Manual

2 proposals/week (BD team)

₹15,000/proposal (hours)

Customisation for each prospect

With GenAI

20 proposals/week

₹500/proposal

Senior review for large deals

Reply to every RFP same day

Technical Approach

Prompt Engineering vs RAG vs Fine-Tuning — How We Choose

The right architecture depends on your data, quality requirements, and budget. Here is how we think about it.

Prompt Engineering

ComplexityLow

CostLowest

Time to value1–3 days

Use when

Your use case is well-covered by base model knowledge and just needs precise instructions.

Not when

You need domain-specific language the model has never seen, or consistent brand voice output.

How We Apply It

We write structured system prompts with role assignment, output format, few-shot examples, chain-of-thought instructions, and explicit constraints — improving output quality by 40–60% vs naive prompts.

Example

Customer support bot that answers queries about software documentation

Fits Best For

General Q&A

Summarisation

Classification

Translation

Writing assistance

Responsible AI

4-Layer Safety Stack on Every Deployment

Generative AI without guardrails is a liability. Every GenAI system we build ships with a layered safety architecture — from input to human oversight.

Input Filtering

01 — Before the model

Prompt Guardrails

02 — In the system prompt

Output Validation

03 — After generation

Human-in-the-Loop

04 — For high-stakes outputs

Input Filtering

01 — Before the model

Block harmful, off-topic, or policy-violating inputs before they reach the LLM

Techniques

Content moderation API (OpenAI Moderation, Azure AI)

Custom keyword & pattern blocklists

PII detection & redaction (names, emails, card numbers)

Topic classifier (only allow in-scope queries)

Stops

Prompt injection attacksJailbreak attemptsSensitive data leakageOff-topic abuse

Prompt Guardrails

02 — In the system prompt

Constrain model behaviour through constitutional AI principles and explicit rules

Techniques

Role & boundary definition ("You are X, you only discuss Y")

Refused topics list (politics, competitor mentions, medical advice)

Output format enforcement (respond only in JSON / only in English)

Fact-grounding instruction ("Only use information from the provided context")

Stops

Scope creepHallucination on sensitive topicsOff-brand responsesInconsistent formatting

Output Validation

03 — After generation

Validate and sanitise model output before it reaches the user

Techniques

JSON schema enforcement (structured outputs)

Secondary LLM judge for factual consistency

Regex validation for formats (emails, phone numbers, URLs)

Toxicity & bias scoring with threshold alerts

Stops

Malformed structured outputFactually incorrect responsesOffensive or biased contentData that fails business rules

Human-in-the-Loop

04 — For high-stakes outputs

Route uncertain or sensitive AI-generated content to human reviewers before publishing

Techniques

Confidence score thresholding (low confidence → human queue)

Category-based routing (legal / medical / financial → mandatory review)

A/B review workflow (random 5% sample for quality monitoring)

Feedback loop (reviewer edits improve future prompts)

Stops

Compliance failures in regulated industriesReputational damage from bad outputsQuality drift over timeUndetected systematic errors

Use Case Gallery

GenAI in Every Industry

Real Generative AI applications we have built or can build — across 12 industries with measurable outcomes.

E-commerce

AI product description engine

10,000 SKUs described in 2 hours

Media

AI-assisted newsroom

3× journalist output on same deadlines

EdTech

Personalised quiz & exercise generation

Infinite unique exercises from one curriculum

Legal

Contract first-draft generation

NDA/MSA drafts in 90 seconds

Healthcare

Clinical note AI scribe

SOAP notes from consultation audio, 30 sec

Finance

Automated investor reporting

Q4 board pack generated from raw data

Real Estate

AI property listing copy

500 listings written from specs, 1 hour

SaaS

In-app writing assistant

Users produce 5× more content in product

HR Tech

Job description & offer letter gen

JD → tailored offer in 60 seconds

Gaming

NPC dialogue & quest generation

Infinite procedural storylines from rules

D2C Brands

AI-generated ad creative variants

200 ad copy variants tested in parallel

Logistics

Exception message generation

Personalised delay comms at 10M/day scale

Packages

Generative AI Packages

From a single AI content feature to a full enterprise generative AI platform with fine-tuning and compliance.

GenAI Feature

1 generative AI feature

Live in 1–2 weeks

Included

1 GenAI output type (text / image / code / audio)

Provider selection & prompt engineering

Output quality evaluation (50+ test cases)

Basic content moderation guardrail

API integration into your stack

30-day post-launch support

Not included

Fine-tuning

RAG pipeline

Human review workflow

Multi-modal outputs

Adding one specific GenAI capability to your product or workflow

See Your Use Case
Generated Live in 48 Hours

Share your use case — we will build a working GenAI prototype on your actual data in 48 hours so you see exactly what the output looks like before committing to a full build.

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FAQs