Meet Our Core Team

Every member brings deep expertise across AI, finance, and data modeling.

Priya Natarajan

Priya Natarajan

Chief Data Scientist

Bengaluru

Specialization

Pattern analysis, ML

Key Skills

Signal extraction Model tuning Data pipeline design

Priya blends advanced machine learning with practical research insights to deliver robust analytic frameworks.

Rohan Iyer

Rohan Iyer

Market Data Lead

Mumbai

Specialization

Big Data Analytics

Key Skills

Integration Workflow automation Anomaly alerting

With over a decade in financial data operations, Rohan ensures all integrations align with client research specifications.

Megha Pathak

Megha Pathak

Head Visualization

Pune

Specialization

Analytics Design

Key Skills

Dashboard UX Data storytelling Market mapping

Megha translates complex research findings into user-friendly, interactive visual interfaces for stakeholders.

Vikram Singh

Vikram Singh

AI Architect

Delhi

Specialization

Algorithm Engineering

Key Skills

Model optimization Risk monitoring System scalability

Vikram engineers backend systems for reliability, shaping algorithms to be both flexible and transparent.

Milestones Achieved

Key events in innovation and growth

2022

Company Inception & Seed Round

Fenolivexa is founded by AI specialists in Bengaluru, immediately setting new collaboration standards.

2023

Platform Beta & First Clients

Launched initial AI research modules, achieving pilot adoption with top financial firms.

2024

Enterprise-Scale Integration

Expanded technology stack, onboarding 150+ research partners across India.

2025

Recognition & Industry Awards

Fenolivexa receives national recognition for innovation in financial data analysis.

Mission and Guiding Values

Our Mission

Empower researchers with streamlined, modular AI that translates raw financial data into actionable, trustworthy analytics for real-world decisions.

Our Vision

Drive a new era of transparent, collaborative research powered by adaptive machine intelligence and Fenolivexa expertise.

Transparency

Accessible, auditable algorithms foster trust in data-driven research.

Integrity

Upholding rigorous process standards from collection to final insight.

Responsiveness

Evolving models quickly to meet the challenges of changing markets.

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