Data Science Consulting & Strategy
Who We Are
Who We Are
We are a data-first strategy partner that blends deep technical expertise with sharp business acumen. Our mission is simple: to help organisations unlock real value from their data—not just build models, but solve problems that matter. We don’t deliver generic reports or buzzword-heavy solutions. We work closely with your stakeholders to understand goals, assess readiness, and build strategies that are practical, scalable, and aligned with your business vision.Whether you’re launching your first analytics initiative or scaling an enterprise-wide data program, we bring the clarity, speed, and confidence you need to succeed.

Get clarity, not complexity
Why It Matters
70% of analytics efforts fail without strategy.
Our strategy ensures every data dollar spent moves the needle, not the dashboard.

Our Process
Insight Strategy Success
Discover - Align on goals, assess data & feasibility
Design - Select models & define success metrics
Build - Develop and train models on real data
Deploy - Set up automated, monitored pipelines
Evolve - Iterate, improve, and scale across use cases
Benefits of Our Data Science Consulting & Strategy
A strong data strategy isn’t just about tools — it’s about clarity, alignment, and results.
Here’s what you gain by partnering with us:
Tech Stack
Technologies






Case Studies
Impact Analysis

🏥 Case Study: How AI Reduced Patient Wait Times by 40% at CityCare Hospital Industry: HealthcareLocation: CityCare Hospital, MumbaiChallenge: Long...

Metical Technologies helped a leading retail brand optimize inventory using predictive analytics, significantly reducing overstock and stockouts through data-driven demand...

Predictive Analytics in Retail: Smarter Inventory Management
A retail company used data science to forecast product demand accurately, reducing both overstocking and stockouts significantly.

Healthcare Optimization: Reducing Patient Wait Times with AI
By analyzing patient flow and treatment data, a hospital optimized appointment scheduling, cutting average wait times by 30%.