01 / Company · Est. 2014

Making sense of data.

With strong capabilities across Data and AI, Data Nectar collaborates with businesses on data and AI-driven transformation initiatives — helping them achieve significant, measurable competitive advantage.

Our Mission

Enabling businesses to make sense of data for their tactical and strategic decision making.

Our Vision

To be an efficient, result-driven data and cloud solution partner — helping businesses realise the true value of data-driven decision-making across people, processes and profitability.

§ 02 · What we do

Driving change with Data & AI capabilities.

Our data scientists and strategists work in tandem with your team to solve intricate business challenges by delivering data and analytics solutions. We build high-value solutions across Machine Learning, Deep Learning, Generative AI, Business Intelligence and more.

From everyday operational improvements driven by data strategy and execution, to periodic strategic challenges — the value we bring to our clients is what matters. We help businesses make profitable decisions through the valuable insights gained from their data.

Outcome

Increase efficiency

Automate, optimise and scale operations with data and AI across functions.

Outcome

Lower operational costs

Eliminate manual overhead and consolidate fragmented data spend.

Outcome

Identify opportunities

Surface trends, anomalies and untapped market signals from your data.

Outcome

Improve risk management

Build resilience with predictive, governed analytics and AI guardrails.

§ 03 · Philosophy

"पुस्तकेषु हि या विद्या परहस्तेषु यद् धनम् ।
उत्पन्नेषु च कार्येषु न सा विद्या न तद् धनम् ॥"

Knowledge confined to books and wealth in others' control are of no use when needed. In the same way, your business data is just 0s and 1s if it cannot help you make better decisions.

§ 04 · How we work

Keeping your data safe — steering data-driven decisions.

Every business is unique — and so are their expectations from data. We tailor strategy, architecture and AI engineering to your industry, your scale and your risk posture.

01

Discover

Assess data maturity, business priorities and the highest-leverage use-cases.

02

Architect

Design the lakehouse, governance and AI platform that fits your stack.

03

Build

Engineer pipelines, models, dashboards and agents — production-grade from day one.

04

Scale

Operationalise with MLOps, observability and a measurable adoption roadmap.

§ 05 · Key team @ Data Nectar

Committed to making impact with data craftmanship.

Satya Jayanti

Satya Jayanti

Data & AI Transformation Advisor

Dhiren Chodvadia

Dhiren Chodvadia

Co-founder, Strategic Business Alliance

Rakshit Shah

Rakshit Shah

AI Solution Architect

Hitesh Patel

Hitesh Patel

Non-executive Director — UK

Kandarp P

Kandarp P

Data Solution Architect

Yash V

Yash V

Data Platform Architect

CP

CP Patel

AI Solution Architect

Gaurang Acharya

Gaurang Acharya

Co-founder, Data Strategist & BI Analyst

Shardul Bhatt

Shardul Bhatt

Strategic Adviser

JP

Jan Petter Woldseth

Head — Nordic

§ 06 · Who we work with

Data & AI leaders who strive to make a difference.

Data Nectar works with industry leaders across Manufacturing, Retail, Pharmaceuticals, Healthcare, Finance and Telecom — partnering closely with decision-makers to decipher valuable insights across the business and ensure data-driven decisions are realistic, result-oriented and aligned with company values.

Industries
ManufacturingRetailPharmaceuticalsHealthcareFinanceTelecom
Decision-makers we partner with
  • Chief Data Officers
  • Chief Information Officers
  • Functional Heads
  • Analytics Leads
  • Data Science Practitioners
§ 08 · Engineering for the AI era

A shift in how we build.

We have re-architected our delivery model around AI-assisted engineering, automated workflows and architect-led supervision — combining speed with the governance enterprises demand.

Before · Traditional model

The old way.

  • ×Slow cycles
  • ×Manual development
  • ×Limited automation

Slower delivery. Higher risk. Limited scale.

After · Our model

The AI-native way.

  • 01AI-assisted development
  • 02Automated workflows
  • 03Architect-led supervision
  • 04Production-grade governance

Faster innovation with business reliability.

§ 09 · Client outcomes

Tangible results, by design.

Five outcomes delivered through integrated capability, governance and partnership — measured in time, cost, risk and trust.

01

Faster time to value

Pre-built accelerators and AI-assisted engineering shorten delivery timelines — pilots move to production without long runways.

02

Built to last, not just to demo

Solutions architected for scale and maintainability from day one — no technical debt handed back to your team.

03

Right-sized teams, right-sized cost

Flexible onshore/offshore blends bring the right specialists at the right time, without unnecessary overhead.

04

Governance built in, not bolted on

Compliance, auditability and risk controls are part of the delivery pipeline — not an afterthought.

05

A partner beyond the project

We stay invested after go-live — through managed services, iteration and continued support as your needs evolve.

§ 10 · Global presence

Four offices. One team.

Architecture leadership, engineering pods and managed services delivered across India, the UK, USA and Norway.

01 · India

Ahmedabad

C-101, Ganesh Glory 11
Ahmedabad 382481
Gujarat
02 · United Kingdom

London

20 Wenlock Road
N1 7GU London
United Kingdom
03 · USA

Upland, CA

1315 Swan Loop S
Upland CA 91784
04 · Norway

Oslo

Data Nectar Norge
Oscars gate 27
0352 Oslo
§ 07 · Join the team

Our dreams are as infinite as data.

We believe in creating an experience not just for our clients but for our people — the driving force behind the Data Nectar growth story. We welcome bright, self-driven professionals to build their dream careers with us.

Join our team →
  • Are you passionate about advanced cloud and data analytics technologies?
  • Are you fascinated by what data-driven insights can do?
  • Do you understand diverse industry verticals well enough to help clients capitalise on data assets?
  • Do people often appreciate your analytic bent of mind?
  • Is your idea of a workplace about fun at work?

Talk to our experts for a data strategy and analytics roadmap.

Schedule a meeting