Data pipeline setup
done in

Data pipeline setup
done in

minutes, not weeks

minutes, not weeks

Fully autonomous

Self-healing

Zero maintenance

Nettle automates the ingestion-to-insights process with +95%
schema classification accuracy. Works with any client's stack.

Nettle automates the ingestion-to-insights process with +95%
schema classification accuracy. Works with any client's stack.

Join the waitlist

From the engineers that built
real-time data systems at

The Problem

Your billable hours are being stolen by busy work

Your billable hours are being stolen by busy work

The high-value advisory work that wins engagements keeps getting buried under data plumbing that doesn't bill well.

The high-value advisory work that wins engagements keeps getting buried under data plumbing that doesn't bill well.

Data Munging

Data Munging

The lowest-margin work you do takes the most time and means you quickly reach capacity – or need to hire more junior data engineers as your consultancy grows.

The lowest-margin work you do takes the most time and means you quickly reach capacity – or need to hire more junior data engineers as your consultancy grows.

Fragmented Data Stacks

Fragmented Data Stacks

Every client has a different stack: Databricks here, Snowflake there, legacy mainframes. You spend the entire engagement untangling infrastructure.

Every client has a different stack: Databricks here, Snowflake there, legacy mainframes. You spend the entire engagement untangling infrastructure.

Slow Development Cycles

Teams spend weeks writing complex transformation logic, testing edge cases, and handling data consistency manually.

Complex Dependencies

Managing interdependent batch jobs with proper ordering, error handling, and retry logic becomes a maintenance nightmare.

Data Access

Client data is siloed behind access control tickets. Each system has a different owner to coordinate with, and it can be days until you get all the permissions you need.

Babysitting LLMs

Claude speeds up some of the work, but needs close supervision to catch hallucinations. Passing unstructured data through these tools manually eats up context windows and skyrockets token costs.

Nettle in Action

Go from raw client data to revenue-driving insights in minutes

From idea to business value in under 5 minutes

From their messy source data to insights you can present — without the weeks of setup.

From their messy source data to insights you can present — without the weeks of setup.

Step 1

Deploy inside your
client's secure
environment

A self-contained Docker container inside their VPC. All data runs on a dedicated instance with isolated storage.

Step 2

Nettle maps, classifies, and structures data automatically

95%+ schema classification accuracy across every tool they use. Databricks, Snowflake, legacy systems, cloud pipelines.

Step 3

Surface the insights clients want to pay for

Clean, AI-ready data. Auditable, deterministic pipelines. Answers the CFO can trust and decisions the board can act on.

Step 1

Describe your
business use case

In fully natural language; not a single
line of code required

Step 2

Nettle's model creates the full data pipeline in minutes

Nettle intuitively understands which data sources to refer to, and goes into building a comprehensive data model in minutes

Step 3

Deploy instantly
at scale

With production ready data that's 100% guaranteed consistent across the board

How Nettle Works

Your Data's Journey from
Chaos to Intelligence

Your Data's Journey from
Chaos to Intelligence

Watch how Nettle transforms your messy data into smart, self-running systems.

Watch how Nettle transforms your messy data into smart, self-running systems.

100% self healing

Nettle continuously & pro-actively fixes itself automatically

Guaranteed convergence

Your data processing converges to consistency via our consensus algorithms.

Scalable by default

From startup to enterprise. Billions of events, zero degradation.

100% self healing

Nettle continuously & pro-actively fixes itself automatically

Guaranteed convergence

Your data processing converges to consistency via our consensus algorithms.

Scalable by default

From startup to enterprise. Billions of events, zero degradation.

Collect everything

Your data comes in events, clicks, sensors, anything happening in real-time

Connect the Dots

We automatically find relationships between your data points

Learn Patterns

AI discovers what's important and what patterns repeat

Predict What's Next

Based on patterns, we predict what should happen and spot gaps

Take Action

Automatically fix issues, fill gaps, and keep everything running smoothly

Collect everything

Your data comes in events, clicks, sensors, anything happening in real-time

Connect the Dots

We automatically find relationships between your data points

Learn Patterns

AI discovers what's important and what patterns repeat

Predict What's Next

Based on patterns, we predict what should happen and spot gaps

Take Action

Automatically fix issues, fill gaps, and keep everything running smoothly

Immediate Results

Old Way vs. Nettle Way

Old way vs. Nettle Way

Watch how Nettle transforms weeks of work into minutes

Old Way

Old Way

Manual & time consuming

2-3 weeks

Write complex code by hand

3-5 days

Handle hundreds of edge cases manually

Handle hundreds of edge cases manually

2-4 days

Test for data consistency

1-3 days

Debug when things break

2-3 days

Fix errors one-by-one

2-4 days

Nettle Way

AI powered & autonomous

5 minutes

Describe what you want

1 min

AI builds everything for you

1 min

Guaranteed 100% consistency

Auto

Auto-fixes any errors

Auto

Live 24x7, zero maintenance

Auto

Live Demo

From Idea to Business Value in
Under 5 Minutes

From Idea to Business Value
in Under 5 Minutes

Connect Data

PENDING

AI Analysis

PENDING

Transform

PENDING

Validate

PENDING

Deploy

PENDING

Input Data

// Messy, inconsistent CSV data
user_id, name, date, amount
"001", John Doe, 2024-01-15, $1,200
"2", "Jane", 15/01/2024, 1200.00
003, Bob Smith, Jan 15 2024, 1.2k
// Mixed formats, inconsistent types

Inconsistent, error prone

Transformed Output Data

// Clean, consistent JSON
{
  "userId": "001",
  "name": "John Doe",
  "date": "2024-01-15",
  "amount": 1200.00
}
// 100% consistent schema

Production ready, validated

5 Min

5 Min

Setup time

Setup time

Zero

Zero

Lines of code written

Lines of code written

Scalable

Scalable

by default

by default

100%

100%

Data convergence

data convergence

Connect Data

PENDING

AI Analysis

PENDING

Transform

PENDING

Validate

PENDING

Deploy

PENDING

Use-cases

The engagements you can now take on

Three kinds of engagement that used to stall on data — now within reach.

AI Transformation Mandates

Every CFO and CEO has one. Almost none have the clean data to execute. Nettle makes their data AI-ready, so you can lead the engagement, not just prepare for it.

Make client data AI-ready in days, not quarters

Lead the mandate instead of prepping for it

Turn "we're not ready for AI" into a signed engagement

Financial Services

Win complex FS engagements that used to stall on compliance. Nettle deploys inside their VPC, classifies transaction schemas at 95%+ accuracy, and keeps every transformation auditable.

Deploy inside the client's VPC — compliance-friendly

95%+ transaction schema classification accuracy

Every transformation auditable end-to-end

Retail & eCommerce

Turn fragmented customer and inventory data across 20+ sources into a single AI-ready layer. Stop stitching. Start advising on growth.

Unify 20+ customer and inventory sources

One AI-ready layer, no manual stitching

Shift from data plumbing to growth advisory

Testimonials

Built by Engineers, for Engineers

Built by Engineers,
for Engineers

Join the data teams who've transformed their data processing with AI

“Managing real-time data used to mean trade-offs and constant fixes. With Nettle, streaming and analytics finally feel effortless and developer-friendly.”

Divye Kapoor

Divye Kapoor

Founder & CEO

"I’ve seen countless data systems collapse under their own complexity. Nettle changes that with a simple, unified data fabric that actually scales and stays reliable."

Mohit Kumar

Mohit Kumar

Co-Founder & Product

“Data delays used to slow every decision. Nettle makes reliable, on-demand access a default, not a luxury, and that’s transformative for teams.”

Rohit Shah

Rohit Shah

Product Advisor & Consultant

Clients want results today.
Be the consultant who can deliver them.

Schedule a Personalized Demo
with our Founder

Join the waiting list

Frequently Asked Questions

Frequently Asked Questions

Haven’t found what you’re looking for?
Get in touch with us

Haven’t found what you’re looking for?
Get in touch with us

What is Nettle?

Is it possible to achieve 1000 business use cases with 10 10-person teams?

How is Nettle different from other data platforms?

Does Nettle require any specific technical training?

How can I try Nettle?

joins forces with Nettle to shape the future of AI-driven data intelligence.

Our team has
previously worked at

Use-cases

Data processing
for any use-case

Build complex data transformations in minutes with Nettle. Process millions of records with guaranteed consistency and zero maintenance overhead.

Financial Services

Process millions of transactions daily with complex business rules, risk calculations, and regulatory compliance - all with guaranteed accuracy.

Process 10M+ records in minutes, not hours

Process 10M+ records in minutes, not hours

Complex business rules without coding

Complex business rules without coding

Automatic data quality validation

Automatic data quality validation

Retail & E-Commerce

Transform customer data, inventory feeds, and sales records into actionable insights. Build complex analytics pipelines without writing a single line of code.

Process daily inventory feeds automatically

Process daily inventory feeds automatically

Merge data from 20+ sources effortlessly

Merge data from 20+ sources effortlessly

Built-in data quality checks

Built-in data quality checks