Engagements that replaced brittle scripts with managed pipelines.

Challenge

A direct-to-consumer brand was running three internal Python scripts to monitor competitor pricing on Amazon, Walmart, and direct retailer sites. Scripts broke every 2–3 weeks, the analyst team spent 20+ hours/week patching them, and pricing meetings used week-old data.

Solution

We replaced all three with a single managed scraping pipeline: rotating residential proxies, daily refresh on 12,000 SKUs across 4 marketplaces, AI-based cross-marketplace SKU matching, and a Metabase dashboard with BuyBox tracking and MAP-violation alerts.

Challenge

A proptech company was buying listing data from three different vendors with overlapping coverage, inconsistent schemas, and address-normalization conflicts that made cross-portal deduplication impossible. Engineering was spending two sprints per quarter just reconciling feeds.

Solution

Custom scrapers across 40+ regional and national portals (Zillow, Redfin, Realtor.com, plus 37 regional sources), LLM-based listing reconciliation, lat/lon and ZIP/county/MSA normalization, and a single daily Parquet drop into their Snowflake warehouse.

Challenge

A Series B SaaS was paying for ZoomInfo + Apollo + Cognism but their reps were emailing the same prospects as every other vendor in the category. Conversion was dropping, and the data team had no way to score accounts against the specific tech-stack and hiring signals that mapped to their actual ICP.

Solution

Custom B2B pipeline scoped to their ICP: company tech-stack detection from public sources, hiring-signal monitoring across job boards, GDPR-aware role-based contact discovery, and an ICP-fit scoring layer delivered nightly into Salesforce with field mapping and dedupe.

Challenge

An applied AI team needed a domain-specific fine-tuning corpus for a regulated vertical. Generic Common Crawl was too noisy, and they could not use copyrighted material. Their internal data team had a 6-month backlog and could not absorb the dataset work.

Solution

License-aware pipeline across permissive public sources, perplexity-based quality filtering, MinHash deduplication, PII detection, and HuggingFace-Datasets-formatted output with train/val/test splits and per-document license metadata for legal audit.

Challenge

A recruiting tech platform needed a continuously refreshed dataset of live US and EU job postings — across company career sites and major boards — to feed their matching algorithm. Existing job-data vendors charged per-record and had 7-day staleness.

Solution

Direct scraping of 38,000+ company career sites with a 24-hour refresh cycle, role normalization, salary parsing where disclosed, location geo-resolution, and a webhook-driven feed pushing changes into their candidate-matching model in near-real-time.

Challenge

A market research agency wanted to package the data they collect for clients into a branded, self-service portal — instead of emailing quarterly PDFs. They had the data but no engineering team to build the front end.

Solution

Custom Next.js portal on top of their warehouse, with multi-tenant access (per-client isolation), SSO, embedded charts, threshold alerts, and a Metabase fallback for analyst exploration. Designed, built, and shipped to production in 6 weeks.