Senior engineering · Production systems · Since 2005

A senior engineering team for data-heavy software.
Since 2005.

We build and operate production systems where the hard part is the data — custom SaaS platforms, marketplace and e-commerce engineering, large-scale web data extraction, and AI intelligence layers built on top. Our longest client engagement runs over a decade. Multiple engagements exceed five years.

  • 20+ years in production
  • Billions of records extracted
  • 100M+ visitors served at peak
  • 10+ year longest engagement

What we build

Four service lines. One team.

Not a web agency. Not a dev-shop-for-rent. A small senior team that ships systems and keeps them in production for years.

01

Custom Platforms & Backends

Production SaaS built from scratch and maintained beyond launch. Healthcare drug-value analytics, KYC and due-diligence platforms with ten-plus external data-source integrations, domain-specific analytics products.

  • FastAPI
  • Laravel
  • Python
  • PHP
  • Celery
  • PostgreSQL / MySQL
Custom platforms →
02

Marketplace & E-Commerce Engineering

Amazon SP-API, ChannelAdvisor, eBay, Walmart, Newegg, Houzz integrations. Production marketplace operations with catalog sync, feed processing, buybox intelligence, and order automation. Shopify and BigCommerce builds for smaller clients.

  • Amazon SP-API
  • ChannelAdvisor
  • Shopify
  • BigCommerce
  • Custom ERP
Marketplace engineering →
03

Large-Scale Web Data Extraction

Seven-plus years operating production scraping pipelines in legal, compliance, marketplace, and directory verticals. Anti-bot-protected, captcha-gated, session-locked, JS-rendered sources. Billions of records extracted from thousands of websites.

  • Python
  • Selenium
  • Playwright
  • Beanstalkd
  • Supervisord
  • Proxy mesh
Data extraction →
04

AI Intelligence Layer

Natural-language Q&A over client data, AI-enriched metadata, auto-generated trend briefings, on-demand dashboards, agent workflows. Built custom on top of the pipelines and integrations we already run — not a generic off-the-shelf product.

  • Claude
  • GPT
  • Embeddings
  • RAG
  • Agent workflows
AI intelligence layer →

Where we've shipped

Data work across eleven verticals.

Examples from production engagements. Names withheld. The pattern is the same: hard-to-reach data, delivered structured, kept flowing.

AI & Physical Intelligence

3D-model training data at scale

Extracted 3D-model files and metadata from twenty-plus catalog sites for a physical-AI company feeding their training pipeline. Client went on to major industry conference exposure and government contracts.

Legal & Courts

County civil-court monitoring

Replaced an enterprise legal-data subscription with targeted county civil-case extraction for a litigation firm — plaintiff names, case numbers, judgment amounts pulled weekly, delivered structured.

Healthcare

Provider directory intelligence

Doctor and clinic directory extraction across Canadian provinces for a national telecom's market-intelligence team. Multi-project engagement, continuous refreshes, clean parsing of practice-location fields.

Financial Services

Login-gated merchant data into BigQuery

Hundreds of fields pulled nightly from behind a vendor login, delivered straight into a payments platform's Google BigQuery warehouse. Scraped data became the input layer for churn prediction models.

Out-of-Home Media

Billboard inventory valuation

Panel-level inventory, geocoordinates, impressions, and media style extracted across major outdoor advertising networks for an OOH valuation firm. Foundation for weekly competitive market reports.

Talent & Recruitment

Daily job-board feed

Continuous scraping of major job boards and talent platforms for a matching engine. Structured job data fed classification models for role-seniority detection and automated candidate sourcing.

Real Estate

Vacation-rental market coverage

All listings across a national vacation-rental marketplace with lat/lon resolution from a private map API, structured into a single feed for a YC-backed real-estate investment platform.

E-Commerce & Retail

Competitor catalog monitoring

Product catalog data from major e-commerce platforms extracted for a private-equity competitive-intelligence engagement that carried over into the portfolio company post-acquisition.

Industrial Distribution

Login-gated spare parts catalog

Supplier-side parts catalog extraction behind password authentication for a UK equipment distributor. 50,000+ SKU ranges pulled, normalized, and reconciled against internal catalog records.

Foodservice

Competitor product data at scale

10,500 product items extracted from two major competitor sites with category-specific templates for a foodservice equipment buying group launching its e-commerce platform.

Marketing & SEO

Regulated directory extraction

Government carrier directories, lawyer directories, therapist directories, and review-site data — scraped cleanly for agency-side lead-gen campaigns across multiple behavioral-health and legal clients.

Compliance & Due Diligence

KYC data-source orchestration

Ten-plus external data-source integrations behind a single due-diligence SaaS: structured extraction, PDF report generation, and automated refresh cycles for a legal-compliance platform.

How we work

Production-first. Long-term. Direct.

Small senior team

No account-management layer. You talk to the engineers who write the code and own the system.

Stability over novelty

We pick stacks that stay in production for years. Correctness and reliability beat architectural fashion.

Long-term engagements

Our longest client runs over a decade. Multiple engagements exceed five years. We build to maintain, not to ship and disappear.

Own the outcome

We scope, build, ship, monitor, fix. End-to-end ownership of the systems we put in production.

  • 2005Founded
  • 10+ yrsLongest engagement
  • 11Industry verticals
  • BillionsRecords extracted
  • 100M+Peak monthly visitors

Have a data-heavy project that's been sitting on the backlog?

Tell us what you're trying to build. We'll tell you whether we're the right team, and roughly what it would take.

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