Engineered to Eliminate Data Waste
We founded Jahtly because traditional methods have failed. As businesses store more data than ever before, they are finding that their archives are full of noise—unusable records and unreliable metrics.
The struggle to keep data quality high is real, and it cannot be solved by adding more people. We built the infrastructure to automate reliability at scale, ensuring that your data grows in value, not just in volume.
We Don’t Just Clean and Analyze Data — We Understand It
Ramon Peedoson, CEO
Ramon has led large-scale data collection and operational systems in high-risk, high-cost environments, including major industrial and field operations.
Christopher Peedoson, CTO
Leveraging my background in defense simulations and critical software systems, I build the robust architecture behind Jahtly’s Data Quality platform. I focus on creating fault-tolerant, automated pipelines that monitor and repair data health across manufacturing and logistics networks. My goal is to ensure that your business data is as reliable and structured as a military-grade system.
We Are Committed to Exceptional Customer Service and Getting the Job Done Right!
Frequently Asked Questions
Think of us as an automated quality control layer for your business data. We don’t build the software you use (like your ERP or CRM); instead, we connect to your data sources to automatically detect errors, fix formatting issues, and standardize information. We ensure that the numbers in your reports are accurate and that your systems speak the same language.
BI tools are excellent for visualizing data, but they cannot fix the data itself. If your input data has duplicates, missing values, or wrong categories, your dashboards will show beautiful but incorrect charts (“Garbage In, Garbage Out”). Jahtly cleans the data before it hits your dashboard, ensuring your analytics are trustworthy.
Yes, that is our specialty. AI requires structured, clean, and consistent training data to work. Most companies fail at AI because their data is too “noisy.” We provide the “AI-Readiness” framework that cleans and tags your historical data so your AI models actually deliver results.
Absolutely not. Jahtly is designed to be non-intrusive. We act as a “sidecar” to your existing technology stack. We pull data, process it based on quality rules, and present the clean version. Your daily operations in your current software continue exactly as normal—just with better data.
We believe in open standards, not black boxes. Our architecture uses standard SQL and Python-based rules. If you choose to leave, you retain the documentation, the data schemas, and the cleaned datasets. You are never held hostage by proprietary code.
We recommend starting with a Data Health Audit. This is a low-risk, one-time engagement where we scan your key data sources, identify the “hidden losses” (duplicates, broken links, format errors), and give you a Health Score. From there, you can decide if you want to turn on our automated monitoring service.
No. This is one of our strongest features. Jahtly acts as a Universal Data Gateway. instead of building complex, custom connections for every single partner, you connect to us once. We standardize your data and automatically “translate” it into the formats your partners need. We handle the handshake so you don’t have to.