Custom Pipelines for Your Industry

We don't sell software—we build solutions. Tell us what you need automated,
and we'll build a custom data pipeline to make it happen.

Solutions by Industry

Pipelines We Build

Real problems. Custom solutions. Each pipeline is built specifically for your workflow.

Data & Analytics

For teams that need to move, transform, and centralize data at scale—without building infrastructure from scratch.

Data Warehouse Loading

Problem: Data stuck in SaaS tools, spreadsheets, and legacy systems

We build: ETL pipelines that extract from any source and load into Snowflake, BigQuery, Redshift, or Postgres on a schedule.

API Data Ingestion

Problem: Third-party APIs you need to pull from regularly but haven't built the integration

We build: Robust API connectors with error handling, rate limiting, and incremental syncs to your destination.

Cross-System Data Sync

Problem: Keeping data consistent between your CRM, ERP, and analytics tools

We build: Bi-directional sync pipelines that keep your systems in harmony without manual exports.

Legacy System Migration

Problem: Data trapped in old databases, Access files, or proprietary formats

We build: Migration pipelines that extract, transform, and load historical data into modern systems.

Real-Time Data Streaming

Problem: Batch processing isn't fast enough—you need data flowing in near real-time

We build: Streaming pipelines using Kafka, webhooks, or change data capture to move data as it happens.

Reporting Data Prep

Problem: Analysts spending 80% of their time cleaning and joining data

We build: Automated data prep pipelines that deliver clean, analysis-ready datasets to your BI tool.

Marketing & Lead Generation

For agencies buying leads, running campaigns, and managing multi-vendor data flows.

Lead Validation Firewall

Problem: Vendors send inconsistent data that breaks your CRM automation

We build: A webhook that validates, normalizes, and routes every lead—alerting you instantly when vendors send bad data.

Multi-Source Lead Consolidation

Problem: Leads from Facebook, TikTok, and affiliates arrive in different formats

We build: A pipeline that normalizes all sources into one clean format for your CRM.

Campaign Performance Rollup

Problem: Logging into 5 dashboards every morning to see yesterday's numbers

We build: A daily email with spend, leads, and cost-per-lead across all platforms.

Finance & Accounting

For teams drowning in PDFs, spreadsheets, and manual data entry.

Invoice Data Extraction

Problem: Manually typing invoice data from dozens of emails

We build: A pipeline that extracts data from PDF invoices and outputs QuickBooks-ready files.

Bank Statement Parser

Problem: Clients send scanned bank statements requiring hours of data entry

We build: An automated parser that converts PDFs to clean CSVs with Date, Description, and Amount.

Expense Report Aggregation

Problem: Consolidating expense reports from multiple departments

We build: A pipeline that collects, validates, and consolidates all expenses into one master sheet.

E-commerce & Retail

For sellers tracking inventory, pricing, and sales across multiple channels.

Competitor Price Monitoring

Problem: Manually checking competitor prices every day

We build: A pipeline that monitors competitor URLs and alerts you when prices change.

Multi-Channel Sales Snapshot

Problem: Sales data scattered across Shopify, Amazon, and Etsy

We build: A daily report combining revenue, orders, and profit from all your channels.

Inventory Sync

Problem: Keeping inventory levels consistent across platforms

We build: A pipeline that syncs inventory levels and flags discrepancies automatically.

Operations & Logistics

For teams managing vendors, shipments, and operational data.

Vendor Report Normalizer

Problem: Each vendor sends Excel files in a different format

We build: A pipeline that collects and normalizes all vendor reports into one standardized format.

CRM Data Cleanup

Problem: CRM full of duplicates, bad addresses, and bounced emails

We build: A validation pipeline with fuzzy deduplication and address verification.

Shipping Data Aggregation

Problem: Tracking shipments across multiple carriers manually

We build: A pipeline that pulls tracking data from all carriers into one dashboard.

Don't See Your Use Case?

We build custom solutions for all kinds of data problems. Tell us what's eating your time—we'll design a pipeline that makes it disappear.