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iCustomer is on a mission to rebuild marketing around decisions, not tools.

We help Marketing and Modern Ops teams turn the stack they already have into a data-first, AI-native compounding growth engine by adding a decision layer between their data cloud and every execution tool across channels, martech, and adtech.

Leadership

Founded by Missionary Team of Industry Experts

Abhi, founder of iCustomer
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CEO 

Abhi Yadav 

Jose Chan Sales & BD of iCustomer
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Jose Chan

Sales & BD

iqbal Kaur AI & Data Science for iCustomer
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Iqbal Kaur

AI & Data Science

David Slavich in charge of growth at iCustomer
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David Slavich

Growth

Jiten Kumar in charge of engineering at iCustomer
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Jiten Kumar

Engineering

From the Founder

Beyond Customer Data Chaos: Rise of AI Native Decision OS 

When we helped pioneer the Customer Data Platform (CDP) category, the mission was clear: unify fragmented customer data so teams could finally see the full picture & segment. That worked up to a point.

 

Enterprises now have solid data foundations: warehouses, MDM, CDPs. In parallel, the GTM side exploded with powerful, channel-specific tools Marketing Clouds, CRMs, ad platforms, content and journey tools while AI search and discovery reshaped the entire customer journey.

 

We used to drag customers to our properties sites, apps, landing pages. Now you have to take capabilities to where they already live: agent/app ecosystems, workflow-native GPTs, and search/ad surfaces with decisions embedded at the edge. One critical layer never emerged to keep up with this shift:

A shared decision layer in the middle that tells every tool who to engage, when, with what, and why.

 

Without it, each channel is forced to invent its own “mini brain”: its own segments, scores, rules, pixels, and experiments in a linear way.

 

Your data team owns the source of truth, but your operators are still hand-stitching decisions at the edge.

 

AI only made this gap harder to ignore. Execs are all-in on AI. Vendors ship AI features weekly. Yet under the demos, most stacks still lack:

  • A consistent way to turn signals into decision-grade features and scores

  • A shared place to encode policies, guardrails, and playbooks

  • A learning loop that takes outcomes and feeds them back into every channel

 

You don’t fix that by swapping your Marketing Cloud or CRM or by adding yet another channel tool. You need a Decision OS that sits between your data layer and your execution layer, and works with everything you already run or swap tools as needed.

 

That’s why we built iCustomer.

iCustomer runs OODA loops (Observe, Orient, Decide, Act) on top of your warehouse/CDP and publishes decisions back into the tools your teams live in every day martech, adtech, CX and performance platforms while feeding outcome data back into the warehouse for continuous learning.

We’re not here to be your email tool, ad platform, or content engine. We’re here to make all of those tools smarter, aligned, contextual and driven by the same brain in a Audience first way. 

 

  • Your data cloud is where you own customer data and intelligence. 

  • Your GTM tools are the composable, channel-specific muscles.

  • iCustomer is the decision layer in the middle your marketing brain so CX becomes ambient across channels and tools.

If you’re ready to make your marketing truly customer-centric personalized, relevant, AI-native, and data-first we’d love to work with you.​

Abhi, founder of iCustomer

Abhi Yadav

CEO & Co-founder, iCustomer

CDP Pioneer turned Decision OS Builder

Pursuit of Marketing Optimization via Decision Intelligence

iCustomer is the industry’s first Multi-Agent Decision Engine (MADE) built directly on your customer data cloud, where every audience or customer profile can be paired with its own agent. Instead of spray-and-pray campaigns, iWorker agents on the marketer side continuously observe signals, apply real-world knowledge, business logic, and policies, and optimize actions with human-level precision and always-on attention to your customers and audiences.

 

This creates a data → signals → decisions → activation journey on first-party data. iCustomer applies knowledge graphs, rule-based reasoning, and predictive/prescriptive analytics to streamline and upgrade decisions across GTM scoring, targeting, orchestration, and optimization so marketing and CX become learning and decision led, not just campaign led.

Our Values

The fundamental beliefs and ideals that shape everything we do, driving us forward in our pursuit of excellence and impact.

Relentless Curiosity

Insatiable hunger for growth and excellence, setting audacious goals.

Impactful Focus

Prioritizing initiatives that create meaningful and lasting impact.

Empathetic Kindness

Creating a welcoming, supportive environment through genuine compassion.

Constant Elevation

Seeking exceptional talent and fostering continuous improvement.

Agile Efficiency

Swift decision-making, clear communication, and streamlined processes.

Grounded Humility

Embracing diverse perspectives with an open and humble mindset.

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iCustomer Blog Posts

See how Decision Intelligence, dynamic ICPs, and a true decisioning engine help GTM teams move from channel-first to outcomes-first ABM and compounding growth in 2025.

Conceptual illustration emphasizing a shift from channel-first tactics to decision-first GTM—prioritizing who to move, when, and why.

How to Fix Failing GTM in 2026: Switch from Channel-First

Shift from channel-first to decision-first. Install a decision loop that unifies data, audiences, and actions.

Visual concept of a live, signal-rich ICP—segments ranked by fit and intent from 1P/2P/3P data to guide ABM plays and compounding growth.

Rethinking ICP in 2025: The iCustomer Methodology

Build a dynamic, signal-rich ICP and orchestrate ABM plays that compound growth across the funnel.

Abstract UI/navigator motif conveying a decisioning layer that evaluates context and selects the next best action across channels—including “do nothing.”

Your Decisioning Engine: The Navigator for Your MarTech Stack 

Why every stack needs a navigator that selects the right message, moment, and channel—automatically.

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