About AndOr — AI-first, India-engineered, globally deployed Skip to content

ABOUT · ANDOR

Built in India.
Trusted globally.

We're an AI-first technology company founded in December 2015. Fifty engineers building proprietary multimodal AI for 50 million users — and an enterprise practice growing on top of it.

OUR STORY

Ten years of building AI
that actually ships.

Founded in December 2015, we are an AI-first technology company redefining the future of digital content creation and enterprise AI.

We are building next-generation AI-powered systems for global users — across consumer products that reach tens of millions, and enterprise engagements with banks, retailers, manufacturers, governments, and creative platforms.

WHAT WE DO

Six capability lines.

AI image generation

AI video creation

Image understanding, classification, detection & tracking

Vernacular language design & complete graphic design stack

Digital marketing tools

Enterprise AI services & consultancy

IMPACT

Our scale, in numbers.

50M+

ANDROID DOWNLOADS

5M+

iPHONE DOWNLOADS

5M/mo

DESIGNS GENERATED

50+

ENGINEERS

FOUNDING TEAM

IIT Kanpur. IIT Roorkee.
IIM Lucknow. UC Berkeley.

Founding team trained at the institutions India and the world send their best engineers and operators to.

FOUNDER [3] PORTRAIT

Sharad Shankar

Founder & CEO

IIT Kanpur '02 UC Berkeley Times Internet Punchh (acq.)
CO-FOUNDER [3] PORTRAIT

Prashant Kumar

Chief Marketing Officer

IIM Lucknow Growth · Brand
CO-FOUNDER [3] PORTRAIT

Vineet Jain

Co-Founder

IIT Roorkee Engineering
CO-FOUNDER [3] PORTRAIT

Naveen Mishra

Co-Founder

IIT Roorkee Product · Tech

TIMELINE

A decade of compounding.

  1. 2015

    AndOr founded

    Andor Communications Pvt. Ltd. incorporated in New Delhi. Thesis: AI is only valuable when it ships.

  2. 2017

    First consumer product

    LightX launches — generative imaging on phones, years before "GenAI" was a category.

  3. 2019

    CV stack hits production scale

    PhotoCut crosses tens of millions of cutouts per month on proprietary segmentation models.

  4. 2023

    Vernacular AI & VLM investment

    Indic OCR + NLU stack hardened. Vision-language models brought to production for editing and retrieval.

  5. 2025

    Enterprise AI practice

    Fixed-fee enterprise services and consultancy practice formalized on top of the consumer-proven stack.

  6. 2026

    50M+ users · 50+ engineers

    Where we are today — production AI at consumer scale, productized for the enterprise.

CAREERS

Build AI that
millions actually use.

We hire ML engineers, MLOps engineers, full-stack engineers, designers, and applied researchers. If you want academic discipline and consumer-scale stakes in the same job — talk to us.

NEXT STEP

Want to work with the team
behind the proof?

Book a Call