Services

Web scraping, data cleaning, and modeling support.

Focused help with data collection, normalization, dataset preparation, and practical modeling workflows for founders, operations teams, researchers, and analysts.

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How we can help

From hard-to-reach sources to data you can use.

Bring us the collection challenge, the messy files, or the prediction you need to make. We build the approach around your sources, your goals, and the deliverable your team needs.

Web Scraping & Data Collection

Get the information you need from sites that take more than a basic scraper.

Discuss data collection Clearforge mascot hammering at a forge

From a focused extraction to an ongoing collection pipeline, we turn fragmented web sources into structured data your team can work with.

  • A private, rotating proxy pool

    A privately managed pool of datacenter and residential proxies supports reliable collection, with rotation and request pacing tailored to the source.

  • Custom AI scraping agents

    Purpose-built agents navigate complex, multi-step workflows and changing page layouts where straightforward crawlers fall short.

  • The collection mechanics, handled

    We manage browser sessions, retries, and CAPTCHA challenges within the collection workflow, so your team can focus on using the data.

  • Built for repeatable collection

    Custom crawlers, browser automation, and API integrations support one-time datasets or recurring refreshes, with checks for incomplete records and source changes.

What you receive

A structured CSV, Excel, JSON, or database-ready dataset, with source notes, field definitions, and a collection or refresh workflow matched to your project.

Data Cleaning & Normalization

Turn inconsistent files and scattered records into one dependable dataset.

Discuss data cleaning Clearforge mascot sweeping with a broom

Clean data starts with understanding what each field means. We shape the cleaning process around how you will analyze, combine, or use the finished dataset.

  • Duplicates and mismatched records

    Deduplication, fuzzy matching, and entity resolution help reconcile repeated customers, products, organizations, or other records across sources.

  • Consistent formats and schemas

    Standardize dates, categories, units, names, and data types. Align column structures so files from different systems can be combined and compared.

  • Checks that surface data issues

    Identify missing values, invalid entries, conflicting records, and suspicious outliers. Document how each issue is handled rather than silently changing the data.

  • A process you can run again

    Reusable cleaning scripts and validation rules keep future imports consistent, with preprocessing tailored to your reporting or modeling workflow.

What you receive

An analysis-ready dataset, a data dictionary, and a record of the cleaning decisions, with repeatable preparation steps where your project needs them.

Modeling & Machine Learning

A model built around the decision you need to make.

Discuss your model Clearforge mascot presenting a model on a chart

The right solution might be a clear linear regression or a custom-trained deep network. We match the approach to your question, available data, and how the model will be used.

  • Customized to your objective

    Forecast demand, classify records, score opportunities, group similar customers, or analyze text. Define the target and success criteria around your actual needs.

  • From regression to deep networks

    Build and compare statistical baselines, tree-based models, and custom-trained neural networks, choosing the complexity that earns its place in the results.

  • Prepared and evaluated carefully

    Feature engineering, appropriate train/test splits, and task-specific metrics help evaluate performance on held-out data and identify where the model struggles.

  • Built for your working environment

    Shape the handoff around your workflow, from an analysis notebook or batch predictions to a reusable scoring pipeline, with clear setup and inference instructions.

What you receive

A model or analysis tailored to the agreed scope, evaluation results, and plain-English documentation covering inputs, assumptions, limitations, and how to use the output.