Engagement Model
Expertise
Generative and Agentic AI Development
Build intelligent, adaptive, and creative AI systems that think, act, and innovate with you.
Web Development
Crafting digital solutions that help you convert visitors into customers.
Mobile Development
Go mobile-first with responsive apps for collaboration and digitizing workflows.
DevOps
Unleash resilience with robust practices for unparalleled software excellence.
Core Engineering — AI-Augmented
AI-Powered Data
Analytics Services
Turn raw data into decisions that drive revenue — 80% faster with AI-assisted analytics
Ajackus builds data pipelines, interactive dashboards, and predictive models with AI-assisted development. We use AI to accelerate ETL development, automate report generation, and build intelligent analytics layers that surface actionable insights from your data.
Our analytics practice covers the full spectrum — from data engineering and warehousing to visualization, machine learning, and automated reporting. We work with Looker, Power BI, Tableau, Snowflake, BigQuery, and custom analytics platforms.
Whether you need a real-time executive dashboard, a customer churn prediction model, or an automated reporting pipeline that replaces 12 hours of weekly manual analysis, our data team delivers production-ready analytics solutions in 4–8 weeks.
14+ Yearsof Engineering Depth
80% FasterInsight Generation
What We Deliver
Dashboard Development
Interactive dashboards in Looker, Power BI, and Tableau with AI-generated visualizations, automated insight narratives, drill-down capabilities, and real-time data refresh.
Data Engineering
ETL and ELT pipeline development, data warehousing, and lake architecture using Snowflake, BigQuery, Redshift, dbt, and Airflow — with AI-optimized transformations and automated data quality tests.
Predictive Analytics and Machine Learning
ML models for demand forecasting, customer churn prediction, pricing optimization, anomaly detection, and recommendation systems — built with scikit-learn, TensorFlow, and PyTorch.
Automated Reporting
AI agents that generate weekly and monthly business reports, surface emerging trends, and alert stakeholders on anomalies — replacing manual analysis with continuous intelligence.
Built-In - Not Bolted On
Security and QA Built In
Every data analytics project includes AI-generated test suites, automated security scanning, human review gates on critical paths, and OWASP-compliant code practices. Testing and security are part of our delivery engine, not separate add-on services.
How It Works
Phase 01
Data Audit
Week 1
Assess data sources, quality, and infrastructure. Define KPIs, analytics requirements, and success metrics with stakeholders.
Deliverable
Data audit report and analytics roadmap.
Technology Stack
Our data analytics team works with the following technologies and platforms:
Airflow
BigQuery
DBT
Pandas
Power BI
Python
Pytorch
Redshift
Snowflake
Tableau
TensorFlowAirflowBigQueryDBTPandasPower BIPythonPytorchRedshiftSnowflakeTableauTensorFlowAirflowBigQueryDBTPandasPower BIPythonPytorchRedshiftSnowflakeTableauTensorFlowEngagement Models
We offer flexible engagement models designed to match your project scope, timeline, and budget.
Analytics Build
Duration4–8 weeks
FormatFixed-fee, deliverable-based
Best forDashboards, data pipelines, ML models
Analytics Retainer
DurationOngoing
FormatMonthly retainer, flexible scope
Best forContinuous analytics support and optimization
Proven Results
Real-world impact across industries — from startups to enterprise platforms serving millions of users.
Real Estate
VTS Flex
Case Study
— Oil and Gas
GoSafe App | Gulf Oil Case Study
GoSafe now has enhanced safety protocols and risk mitigation at their workplace.
Learn More
Real Estate
VTS Proposal AI
Frequently Asked Questions
What analytics and BI tools does Ajackus work with?
We work with Looker, Power BI, Tableau, and custom-built analytics platforms. For data infrastructure, we use Snowflake, BigQuery, Redshift, dbt, and Airflow. Our data engineers are proficient in Python, Pandas, SQL, and cloud-native analytics services on AWS, Azure, and GCP.
Can Ajackus build predictive models for my business?
Yes. We build machine learning models for common business applications including demand forecasting, customer churn prediction, pricing optimization, anomaly detection, and recommendation systems. We use scikit-learn, TensorFlow, and PyTorch depending on the complexity and scale of your requirements.
How long does it take to build a dashboard?
A single dashboard connected to an existing data source typically takes 2–3 weeks. A full analytics solution including data pipeline development, warehousing, and multiple dashboards takes 4–8 weeks. Complex projects with multiple data sources, ML models, and automated reporting may take 8–12 weeks.
Ready to Start?
Book a free consultation. We will scope your project within 48 hours.
Other Services
Explore our full range of AI-augmented services designed to accelerate your digital transformation.
AI Development Services
Custom AI agents, LLM integrations, RAG pipelines, and AI enablement — from strategy to production
Web Development Services
Enterprise web applications built with AI-augmented engineering for 40–60% faster delivery
Mobile App Development Services
Native and cross-platform mobile apps built at AI pace with rigorous automated quality
UI/UX Design Services
User-centered interfaces designed with AI-powered speed — 3x faster iteration, sharper insights
DevOps and Cloud Services
Infrastructure that scales automatically, deploys safely, and costs less
Low-Code and No-Code Development
Airtable, Glide, Shopify, and WordPress solutions with AI automation layers — built in days
Let’s Build your Project Together
