MachineLabs collects, engineers and models data for teams that need answers — from always-on data pipelines and ML-ready datasets to production machine learning models.
Tools & frameworks we build with
Bring us a question, a website or a messy spreadsheet. We handle collection, engineering, labeling, modelling and deployment — as a subscription or a one-off project.
Reliable pipelines that turn websites, APIs and public sources into structured, analysis-ready data — on the schedule you choose.
ETL/ELT pipelines, warehouses and data models that keep analytics and machine learning fed with trustworthy data.
Human-in-the-loop annotation for text, images and documents, with multi-stage QA and measurable agreement scores.
Forecasting, classification, recommendation and anomaly detection models trained on your data and measured against clear baselines.
Retrieval-augmented assistants, document intelligence and fine-tuned language models grounded in your own data.
Ship models as reliable APIs and batch jobs with monitoring, drift detection and automated retraining.
A clear, repeatable process with a working deliverable at every step.
We map your goal, data sources, success metrics and compliance constraints in a short scoping call.
Resilient pipelines gather data from websites, APIs, files and databases on the schedule you need.
Data is cleaned, validated, de-duplicated, enriched and labeled into model-ready tables.
We train, tune and evaluate models against baselines — with results you can inspect.
Models ship as APIs, batch jobs or dashboards that plug into the tools your team already uses.
Quality checks, drift alerts and scheduled retraining keep data and models accurate over time.
Specific, hard-to-source datasets built and maintained by our own pipelines. Every one ships with a schema, field descriptions and a sample.
Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
24 months of matched prices, sales rank and review velocity for 120K SKUs across six marketplaces.
Daily snapshots of 180+ hosted and open models: prices, context windows, limits and benchmark scores.
12,400 questions over real enterprise documents with gold passages, hard negatives and unanswerable cases.
60K synthetic dialogues in six languages with function-call traces, tool schemas and realistic failure cases.
30K synthetic invoices, receipts and bills from nine tax regimes with field-level bounding boxes.
Predictable monthly pricing in USD or INR. Upgrade, downgrade or cancel anytime.
Individuals & early-stage startups
Automated data collection with clean, analysis-ready output.
Start with BasicGrowing product & analytics teams
Pipelines, API access and a production ML model.
Choose ProfessionalData-driven businesses
High-volume data, multiple models and full MLOps.
Go AdvancedPrices in INR, billed monthly. Compare every feature
Proven patterns for the industries we work with most, wherever your customers are.
Availability, pricing and demand intelligence for online and omnichannel retailers in any market.
Alternative data, risk scoring and document automation for financial teams.
Freight, inventory and supplier intelligence that keeps landed costs predictable.
Talent market analytics and matching models for recruiters and HR platforms.
Listing intelligence and valuation models for brokers, investors and platforms.
Research, trial and document intelligence built from public and licensed sources.
Both techniques make a language model useful for your business, but they solve different problems. Here is a practical way to decide — and why most teams should start wi…
Read articleA model can only be as good as the data behind it. Use these ten checks to catch leakage, bias and quality problems before they reach production.
Read articleCollecting data is the easy part. This walkthrough shows the stages that turn scattered web data into a model that keeps working after launch.
Read articleCan’t find what you are looking for? Our team replies within one business day.
MachineLabs is a data and machine learning lab. We collect data from websites, APIs and business systems, engineer it into clean, ML-ready datasets, and build and deploy machine learning models on top of it. You can work with us through a monthly subscription, buy ready-made datasets, or commission a custom project.
Yes. Most of our datasets cover multiple countries, and we work with teams across more than twenty countries in English, over email and video calls. Our engineering team is based in New Delhi, and we schedule calls to overlap with your working hours. You can pay in USD through PayPal or an international card, or in INR through Razorpay.
No. We can deliver ready-to-use files, dashboards or APIs, and we help your team integrate them. If you do have engineers, we work directly with them and hand over code and documentation.
Plans are billed monthly. Customers outside India pay in US Dollars through PayPal or an international card; customers in India can pay in Indian Rupees through Razorpay (UPI, cards, net banking, wallets). Use the currency switch in the header to see prices in either currency.
Tell us what you are trying to predict, automate or understand. We will reply within one business day with an approach, a timeline and a quote.