Data Problems That Kill Growth
These data issues are holding back your decision-making and AI initiatives
Broken Pipelines = Missing Insights
Your data pipelines break frequently. Reports show outdated numbers. Critical business metrics are delayed or missing entirely.
Delayed Analytics = Slower Decisions
Your team waits hours or days for fresh data. By the time you have insights, market conditions have changed.
AI Teams Struggling with Messy Data
Your AI/ML models can't train effectively on dirty data. Infrastructure limits prevent scaling model training and inference.
What We Deliver
Rock-solid data infrastructure that scales with your business
Data Pipeline Design & Orchestration
Robust ETL/ELT pipelines using Airflow, dbt, and modern data stack tools. Real-time and batch processing that never breaks.
ETL/ELT Setup for SaaS & Healthcare Data
Custom data connectors for your specific tools. HIPAA-compliant data handling for healthcare organizations.
Cloud Data Warehouse Setup
Optimized BigQuery, Snowflake, or Redshift implementations. Column-store design for fast analytics queries.
Infrastructure for ML Model Training & Monitoring
GPU-optimized compute for model training. MLOps pipelines for automated model deployment and monitoring.
Process Snapshot
Our proven methodology delivers reliable data pipelines in 6-10 weeks
Discovery & Data Mapping
Complete audit of your current data sources, flows, and pain points. Map out ideal future state architecture.
Architecture & Setup
Build scalable data warehouse and pipeline architecture. Set up monitoring, alerting, and disaster recovery.
Testing & Automation
Rigorous testing of all data flows. Implement automated quality checks and error handling for reliability.
Support & Monitoring
24/7 monitoring with proactive alerting. Cost optimization and performance tuning as data volumes grow.
Results & Proof
Real improvements in data reliability and AI model performance
Computer Vision Startup
Implemented robust data pipelines for an AI startup processing 1M+ records daily for computer vision model training and inference.
"Before Kinesiis, our data team spent most of their time fixing broken pipelines instead of building features. Now our data flows reliably 24/7, and we can focus on what matters — improving our AI models."
Sarah Rodriguez, Head of Data
Computer Vision AI Startup
94%
Reduction in manual data work
99.9%
Pipeline uptime achieved
70%
Faster model training
50TB+
Data processed monthly
Power Your Data with Complete Infrastructure
Combine data engineering with infrastructure and web solutions