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Build and Own Highly
Accurate Gen AI Models

Create synthetic datasets, fine-tune open-source LLMs, deploy seamlessly, and
continuously improve based on usage — all within one integrated platform

Create Datasets
Fine-Tune
Test & Deploy

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Fine tuned LLMs can achieve 90%+ accuracy but most AI teams struggle because

Lack expertise dataset preparation and generation
Weeks spent building RAG and prompt-based systems
Lack of model improvement based on real-world usage
Data Expertise Gaps
They lack the understanding needed to prepare high-quality datasets for effective fine-tuning.
Infrastructure Challenges
They spend weeks figuring out hosting and infrastructure setup.
Model Improvement
There are no readily available solutions that improve Gen AI systems based on usage.
Choose your usecase
Select the type of model you want to fine-tune, whether it's a classifier, function calling, or knowledge retrieval model
That’s why we built Apperture -
To create and manage synthetic
data mimicking real datasets.
Define Your Parameters
Begin by inputting sample queries. Then, define templates and choose variables ranging from simple strings to complex enums.
Generate and Scale
Create and verify a test dataset, then once confirmed, scale up to 10,000+ high-quality samples, all ready within minutes.
Fine-tune and Deploy
Choose from available models and train them with your generated dataset in just a few clicks. Then test, infer, and run accuracy tests in our comprehensive playground environment
Data Expertise Gaps
They lack the understanding needed to prepare high-quality datasets for effective fine-tuning.
Infrastructure Challenges
They spend weeks figuring out hosting and infrastructure setup.
Model Improvement
There are no readily available solutions that improve Gen AI systems based on usage.
Fine tuned LLMs can achieve
90% + accuracy but most AI
teams struggle because
Creates accurate synthetic data mimicking real datasets

That’s why we built Apperture- to create and manage synthetic data mimicking real datasets.

01
Choose your usecase
Select the type of model you want to fine-tune, whether it's a classifier, function calling, or knowledge retrieval model
02
Define Your Parameters
Begin by inputting sample queries. Then, define templates and choose variables ranging from simple strings to complex enums.
03
Generate and Scale
Create and verify a test dataset, then once confirmed, scale up to 10,000+ high-quality samples, all ready within a mins
04
Fine-tune and Deploy
Choose from available models and train them with your generated dataset in just a few clicks. Then test, infer, and run accuracy tests in our comprehensive playground environment
Choose your usecase
Select the type of model you want to fine-tune, whether it's a classifier, function calling, or knowledge retrieval model
Define Your Parameters
Begin by inputting sample queries. Then, define templates and choose variables ranging from simple strings to complex enums.
Generate and Scale
Create and verify a test dataset, then once confirmed, scale up to 10,000+ high-quality samples, all ready within a mins
Fine-tune and Deploy
Choose from available models and train them with your generated dataset in just a few clicks. Then test, infer, and run accuracy tests in our comprehensive playground environment
Create accurate synthetic
data mimicking real datasets

When you're ready to scale your Gen AI Apps,
we have you covered

INGEST USAGE DATA
MONITOR PERFORMANCE
DEVELOPER CONTROLS
Why choose Apperture?
Take a look at how we are
powering AI adoption at scale
95%+ Accuracy
for use cases like Text2SQL, Function Calling, Classification
75% Reduction in Costs
when compared to systems built using publicly available APIs
3X Speed
when compared to similar systems built with prompting and RAG
One-Click Workflow
to get you started in minutes
Effortless Management of Datasets
Create and manage datasets to fine tune LLMs with ease.

Take a look at how we are

powering AI adoption at scale

HABUILD

Built a multilingual customer support bot for WhatsApp

1 Million+
Messages handled
$250K
potential savings
5 seconds
response time
INR 1
per inquiry
90%
accuracy

Apperture AI's solution revolutionized our customer support, handling our massive daily inquiries efficiently and cost-effectively across multiple languages."

Read the case study

KOTAK SECURITIES

Reimagined Investment application with GenAI

POC to MVP stage
Successfully progressed
90%
accuracy
5 seconds
response time
<1 sec
response time
90%
accuracy

Apperture AI helped us elevate our trading application, providing our users with an AI-powered interface that can handle everything from simple queries to complex market analysis."

Read the case study

HABUILD

Built a multilingual customer support bot for WhatsApp

1 Million+
Messages handled
$250K
potential savings
5 seconds
response time
INR 1
per inquiry
90%
accuracy

"Apperture's AI models helped us scale our CS processes, saving over a million dollars annually. Their team crafts Generative AI solutions like works of art."

Saurabh Bothra
Founder / CEO
Read the case study

KOTAK SECURITIES

Reimagined Investment application with GenAI

POC to MVP stage
Successfully progressed
90%
accuracy
5 seconds
response time
<1 sec
response time
90%
accuracy

Apperture is uniquely positioned at the intersection of AI and Design, augmented by the teams deep knowledge of Financial Markets.

Rahul Pahuja
Head of Innovation / Kotak Securities
Read the case study

HABUILD

Built a multilingual customer support bot for WhatsApp

1 Million+
Messages handled
$250K
potential savings
5 seconds
response time
INR 1
per inquiry
90%
accuracy

Apperture AI's solution revolutionized our customer support, handling our massive daily inquiries efficiently and cost-effectively across multiple languages."

Read the case study

KOTAK SECURITIES

Reimagined Investment application with GenAI

POC to MVP stage
Successfully progressed
90%
accuracy
5 seconds
response time
<1 sec
response time
90%
accuracy

Apperture AI helped us elevate our trading application, providing our users with an AI-powered interface that can handle everything from simple queries to complex market analysis."

Read the case study

HABUILD

Built a multilingual customer support bot for WhatsApp

1 Million+
Messages handled
$250K
potential savings
5 seconds
response time
INR 1
per inquiry
90%
accuracy

Apperture AI's solution revolutionized our customer support, handling our massive daily inquiries efficiently and cost-effectively across multiple languages."

Read the case study

KOTAK SECURITIES

Reimagined Investment application with GenAI

POC to MVP stage
Successfully progressed
90%
accuracy
5 seconds
response time
<1 sec
response time
90%
accuracy

Apperture AI helped us elevate our trading application, providing our users with an AI-powered interface that can handle everything from simple queries to complex market analysis."

Read the case study

Frequently asked questions

How does Apperture AI handle data privacy and security when generating synthetic datasets?
How does Apperture AI ensure the quality and diversity of synthetic data?
What types of models can be fine-tuned using Apperture AI?
How does Apperture AI handle version control for datasets and models?

How it works

CASE STUDIES

Work we are proud of...

HABUILD
Customer Sales and Support Bot for Bharat
1 million+ customer inquires answered
+$250K potential savings
<5 Secs response time
Check it out
Kotak

Redesigning an AI first trading experience for Kotak

Check it out
Redseer

Empowering CEO's with Apperture's Knowledge BOT.

Check it out
Wiom

Reimagined Data Infra for hyper growth.

Check it out

Pricing

$7500
Two 75 min discovery calls
Mapping your Gen AI usecases
Working POCs within 4 weeks
Gen AI product roadmap Canvas
Book your call

Transform Your Ideas into, AI Applications Today

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From zero to IPO.
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