Over 6 years we help companies meet their digital transformation needs. Niograph is a values-driven technology consulting & services firm.

Niograph Inc.

5900 Balcones Drive, Suite 100, Austin, TX 8731, USA

+1 (512) 717 7474

Niograph Technology Consulting LLP

146, City Center, 570 M. G. Road, Indore, M.P., India - 452002

connect@niograph.com

+91 -932-607-7199

//About Us

About Niograph

Niograph is a Cloud, Data & AI consulting and implementation services company. We help our clients to harness intelligence from data to become data driven, data mature and data intelligent. We provide consulting & implementation services to strategize, plan, build & scale data systems for startups, small and medium enterprises, government and large enterprises. 

Niograph is based in Austin, Texas, USA (also called Silicon Hill) with its development office in Indore, Madhya Pradesh, India (the cleanest city in India). We are a small business IT company.

Who Are We
Who Are We

We are technology consultants, solution architects, product owners, experts, engineers, and coders united by a common theme – Passion for Technology!

What We Do
What We Do

 Niograph offers end-to-end technology services, including specialized tech consulting, product development, and data services, leveraging latest cutting-edge technologies.

Why Choose Us
Why Choose Us

Our agile delivery, data-driven, and customer-first approach help our clients achieve high NPS in their businesses.

// NIOGRAPH TEAM

Meet Our Core Team

Alone we can do so little; together we can do so much!

Anish Bapna

Cloud Data Strategy &
Architecture

Sunil Asthana

Program Management &
Governance

Smita Shrivastava

Data Engineering &
Data Science

Darshana Jain

Data Visualization &
Generative AI

Pranjal Goyal

Business Analytics &
Product Management

Vidaan Shankar

Data Analytics &
Data Management

Saachi Surana

Young Professional
//Expertise

Area of Expertise

80%

Cloud, Data & AI Strategy and Architecture

100%

Data Architecture & Governance

80%

Program Governance & Product Management

100%

Data Engineering & Analytics

100%

Data Visualization

60%

Generative AI