Custom Data Pipelines
for AI Training
Fine-tuning an LLM? Building a RAG pipeline? We scrape, clean, and deliver exactly the domain-specific data your model needs — on your schedule, in your format.
Built for Teams That Train
on Real-World Data
LLM Fine-Tuning Teams
Domain-specific text data from targeted websites to fine-tune base models for your industry vertical.
RAG Pipeline Engineers
Fresh, structured content scraped on a recurring schedule to keep your retrieval layer accurate and up to date.
AI Startups Building Vertical Products
Whether it's e-commerce, healthcare, or real estate — get training data from the exact platforms your product serves.
ML Researchers & Academia
Clean, reproducible datasets from web sources with custom filtering, deduplication, and formatting.
Data Labeling & Annotation Platforms
Raw web content at scale, pre-cleaned and structured, ready for your annotation pipeline.
Enterprise AI & Data Science Teams
Ongoing data feeds integrated directly into your ML infrastructure without building scraping in-house.
Why AI Teams Struggle
to Get Good Training Data
Generic datasets don't fit your use case
Public datasets are outdated, noisy, or too broad. Your model needs data from the specific websites, categories, and formats your product operates in.
Building scrapers takes engineering time you don't have
Your ML team should be training models, not maintaining broken scrapers and rotating proxies.
Data quality directly impacts model quality
Inconsistent formats, duplicate records, and dirty text degrade your model's performance at training time.
Comprehensive Data Extraction
for AI & ML Workflows
We combine scraping, cleaning, and structuring to deliver training-ready data — custom built for your pipeline.
Fine-Tuning Datasets
Domain-specific text, product data, reviews, Q&As, and structured content scraped from targeted sources at scale.
RAG & Knowledge Base Data
Recurring scraping pipelines that keep your retrieval layer fresh — structured, chunked, and ready to embed.
Indian Language & Market Data
Hindi, Gujarati, Tamil, and other Indic language content from Indian platforms — a genuinely scarce and high-value data category.
Evaluation & Benchmark Datasets
Curated, clean, domain-specific datasets for testing and benchmarking your models with real-world data distributions.
These aren't off-the-shelf datasets. We assess your model's data requirements and build a custom scraping pipeline around your exact needs.
Discuss Your Data RequirementsSimple Process,
Training-Ready Output
Tell Us What You Need
Share your model type, target domain, data sources, and format requirements. We'll assess feasibility and scope.
Get a Free Sample
We scrape a representative sample (1,000–5,000 records) so you can validate quality before committing.
We Build the Pipeline
Our team engineers, tests, and validates a custom scraping pipeline tailored to your data spec.
Ongoing Delivery
Receive clean, structured data on your schedule — weekly, daily, or on-demand — in JSON, CSV, JSONL, Parquet, or any format.
A Data Partner Who Understands
AI Workflows
Custom, Not Generic
Every dataset is built specifically for your model and use case. No recycled dumps, no irrelevant noise.
Scraping Expertise
We've built pipelines for e-commerce, food delivery, real estate, and more. We know how to get clean data from complex sites.
Format Flexibility
JSON, CSV, JSONL, Parquet, plain text — whatever your training pipeline expects, we deliver it that way.
Indian Data Specialists
Unique depth in Indian platforms and Indic language content that global providers simply don't cover.
Real Problems
We Can Solve
E-commerce LLM Fine-Tuning
Scrape product titles, descriptions, reviews, and Q&As from Amazon, Flipkart, or any retailer to fine-tune a product-specialized language model.
Indian Quick Commerce RAG
Build a knowledge base from Blinkit, Zepto, and Swiggy data — menus, pricing, delivery zones — updated daily to power an AI assistant for the Indian market.
Real Estate AI Training
Extract property listings, descriptions, and market data from Zillow, MagicBricks, or 99acres to train a domain-specialized real estate model.