We don't just collect data — we process it too: we run it through the APIs of leading AI models and return ready-made insights. For example, we collect reviews and return summaries, sentiment, and key themes, straight in the format you need.
Teams that need ready insights — summaries, scores, categories — rather than raw data, without building their own pipeline or prompt engineering.
Track competitor prices, assortment, and stock, enrich product pages, and monitor MAP compliance.
Build datasets on markets, prices, and demand for reports, models, and well-grounded decisions.
Receive data as a stream or via API without your own scraping infrastructure, proxies, or maintenance.
Find companies and contacts, track ads, reviews, and brand mentions across the web.
Monitor competitor prices and rankings, new products in your niches, and demand trends on Amazon, Walmart, and eBay.
Populate catalogs, price comparison sites, and product feeds with data from dozens or hundreds of sources.
Three engagement models to fit the task: a one-time export, recurring data delivery, or a custom solution. We price to your sources, volume, and frequency — you get an estimate before we start.
Capture data once — for research, migration, or analysis.
Data refreshes on a configurable schedule — weekly, daily, or hourly — and arrives on its own.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and SLAs.
The final cost comes down to a few clear factors. No hidden fees — we send an estimate and a data sample before work starts.
Describe your data and the insight you need — we'll come back with a cost estimate, timeline, and a pilot on your data within one business day.
We don't just collect data — we also run it through the APIs of leading AI models so the output is ready insights, not raw text. For example, we collect thousands of reviews and return a concise summary, the sentiment, and a list of frequent issues for each product.
Under the hood is a pipeline that takes your data, splits it into batches, sends them to the model with the right prompt, and assembles the responses into a single structure. We pick the model for the task and budget, tune the prompts, and check output quality on a control sample.
That covers a wide range of tasks: review summaries and sentiment, classification and tagging, entity and attribute extraction, product page normalization and translation, content moderation, and description comparison.
We deliver the result however suits you: a table or JSON with the insights, a refreshing feed, API access, or a web interface. We can process data once or run a scheduled stream.
We process your data or publicly available data, respect model licenses and terms, never send more than necessary, and anonymize sensitive content where needed. We control the quality of the outputs and work under contract.
We have worked with data for e-commerce and analytics since 2015 — and we know AI processing is only useful when the insights are accurate, reproducible, and delivered in a convenient format.
We don't just collect data — we run it through AI. The output is finished insights, not raw material.
We work with the APIs of leading AI models and pick the best fit for the task and budget.
We process hundreds of thousands of records in batches, with queues, retries, and rate-limit control.
We tune prompts and validate results on a control sample — hallucinations kept to a minimum.
A table, JSON, a feed, API access, or a web interface — whatever fits your workflows.
Model license compliance, anonymization of sensitive data, and work under contract.
A transparent process: we scope the project and send a data sample before work starts. No hidden fees, no surprises.
You send the data or a source and describe the insight you need — summaries, sentiment, tags.
We run part of the data through the model, show you the insights, and assess quality, cost, and timeline.
We tune the prompts, logic, and output format, then run the full data volume through the model.
You receive the insights: a table, JSON, an API, or a web interface. We maintain the pipeline and process new data on a schedule.
The output isn't raw text — it's ready insights from AI models in the format you need.
Summaries, tags, and scores in a table or JSON matching your schema.
Processing results arrive on a schedule and stay current.
Send data through our endpoint and get finished JSON back.
A dashboard with results, filters, search, and export.
We standardize the input and remove noise before processing.
We validate insights on a sample and keep accuracy in check.
AI processing is one part of a larger data operation. We'll build and configure the right setup for your task.
Daily movement of competitor prices and assortment.
Tracking MSRP and MAP compliance across platforms.
Reviews and ratings for reputation management and analytics.
Amazon, Walmart, eBay, and other major marketplaces and platforms.
Can't find the answer you need? Send a request — we reply within one business day.
Summaries of reviews and documents, sentiment, classification and tagging, entity and attribute extraction, normalization and translation, moderation. If your task isn't on the list, describe it — we'll pick the model and approach.
Base pricing starts at $150. The final price depends on the number of sources, data volume, update frequency, protection complexity, and extra processing. We send an exact estimate and a data sample before work starts.
We work with the APIs of leading AI models and choose the best fit for the task, accuracy, and budget. If you have a preferred model or your own API key, we'll plug it in.
A table (CSV, Excel), JSON, a refreshing feed, API access, or a ready-to-use web interface. We shape the output schema to your workflows.
We tune prompts and validate results on a control sample to minimize errors and hallucinations. Where needed, we add checks, rules, and a second model for cross-verification.