Data Science
Six specialized AI agents powering enterprise-grade data science — from predictive models and ETL pipelines to MLOps, business intelligence and board-ready analytical reports. A complete data team at a fraction of the cost.
What's Included
End-to-end data science services
KPI Dashboards
Real-time dashboards pulling data from finance, sales, marketing and operations. Customizable views for executives, managers and teams.
Predictive Analytics
Cash flow forecasting, revenue projections, churn prediction, demand planning and risk scoring using machine learning models.
Business Intelligence
Cross-functional analytics connecting financial performance, sales pipeline, marketing ROI and operational efficiency into unified executive views.
ML Model Development
Custom machine learning models for your specific business challenges — from customer segmentation to price optimization to anomaly detection.
Data Engineering
ETL pipeline design, data warehouse setup, data quality monitoring and automated data cleaning for reliable analytics foundations.
Strategy & Insights
Competitor benchmarking, market research, scenario modelling, risk assessment and growth strategy recommendations backed by data.
Choose Your Tier
Simple, scalable pricing
Start small and upgrade as you grow. All plans include FREE AI Readiness Onboarding.
Data Essentials
Insights & reporting for growing businesses
- ✓Monthly data audit & health report
- ✓Data cleaning & quality assurance
- ✓Up to 3 KPI dashboards built & maintained
- ✓Exploratory analysis & trend reporting
- ✓Sales / ops / marketing insight reports
- ✓2 dedicated analysis hours/month
- ✓Data source integration (up to 3 sources)
- ✓Monthly insight summary for leadership
Data Growth
Predictive models & advanced analytics
- Everything in Essentials, plus:
- ✓1 predictive ML model built & deployed
- ✓Customer segmentation & CLV modelling
- ✓Churn prediction & retention analytics
- ✓Automated ETL pipeline construction
- ✓Up to 10 dashboards & live reporting
- ✓A/B test design & statistical analysis
- ✓Bi-weekly insight sessions with leadership
Data Enterprise
Full data function — engineering to AI
- Everything in Growth, plus:
- ✓Full team: Data Scientist + Engineer + Analyst
- ✓Unlimited ML models & continuous retraining
- ✓Data warehouse / lake design & management
- ✓Real-time analytics & streaming pipelines
- ✓Generative AI & LLM integration capability
- ✓MLOps: automated monitoring & drift alerts
- ✓Quarterly data strategy & roadmap session
No long-term contracts. Day 1 deployment. Upgrade or downgrade at any time.
Your AI Workforce
6 specialized AI agents
Each agent is trained on your business data, operates within strict confidence guardrails, and is supervised by human specialists.
The Data Scientist
ML & Predictive Agent
ML model development, feature engineering, model training/tuning, statistical analysis, predictive analytics
Confidence Protocol
Model development autonomous. Production model deployments require Tier 2 review.
AI Tools & Capabilities
The Data Engineer
Data Pipeline Agent
ETL/ELT pipelines, data warehouse design, source integrations, data quality validation, pipeline monitoring
Confidence Protocol
Pipeline maintenance autonomous. Schema changes and new integrations require review.
AI Tools & Capabilities
The ML Engineer
MLOps Agent
Model deployment, MLOps, model monitoring, drift detection, automated retraining, API integration
Confidence Protocol
Monitoring and alerting autonomous. Model retraining triggers require approval.
AI Tools & Capabilities
The Business Analyst
Business Analysis Agent
Requirements gathering, stakeholder reports, EDA, trend analysis, insight reports, data storytelling
Confidence Protocol
Analysis and reporting autonomous. Strategic recommendations flagged for review.
AI Tools & Capabilities
The BI Developer
BI Development Agent
Dashboard design, KPI tracking, data visualization, executive reporting, real-time analytics
Confidence Protocol
Dashboard updates autonomous. New KPI definitions require stakeholder approval.
AI Tools & Capabilities
The Data Analyst
Data Analysis Agent
Ad-hoc analysis, SQL queries, statistical testing, funnel analysis, cohort analysis, reporting automation
Confidence Protocol
Ad-hoc analysis fully autonomous. Published reports require Tier 1 review.
AI Tools & Capabilities
How It Works
From kickoff to full operations
Data Audit
We map all your data sources, assess quality, identify gaps and define the analytics roadmap.
Infrastructure Setup
Data warehouse configuration, ETL pipelines, BI tool setup (Power BI/Tableau/SolyntaFlow) and initial dashboard design.
Intelligence Layer
KPI dashboards deployed, forecasting models trained, automated reporting scheduled and executive views configured.
Strategic Advisory
Monthly strategy sessions, competitor intelligence briefings, scenario planning and data-driven growth recommendations.
Monthly Deliverables
What you get every month
FAQ
Common questions
What BI tools do you use?
Power BI, Tableau, Looker, Metabase and our built-in SolyntaFlow dashboards. We recommend based on your needs and budget.
Can you build custom ML models?
Yes — from customer churn prediction to dynamic pricing to demand forecasting. Growth and Enterprise tiers include custom model development.
Do we need a data warehouse?
For basic dashboards, no. For advanced analytics, we set up a lightweight warehouse (BigQuery, Snowflake or PostgreSQL) as part of onboarding.
How do you ensure data accuracy?
Automated data quality checks, reconciliation rules, anomaly detection and human validation of all critical metrics.
Ready to get started with Data Science?
Book a free discovery call. We'll map your needs, show you exactly how data science works, and get you live within two weeks.
Book Your Free Discovery Call →