Cheerio AI Raises ₹8 Crore to Build the Future of Agentic AI for Enterprise Workflows

Enterprises today run hundreds of workflows across marketing, sales, support, and retention. Yet most of these workflows still rely on fragmented tools, manual coordination, and heavy engineering dependency.

At Cheerio AI, we believe the future of enterprise operations will be powered by Agentic AI systems that can understand intent, orchestrate processes, and execute workflows autonomously.

Today, we’re excited to share an important milestone in that journey.

Cheerio AI has raised ₹8 Crore in a Seed funding round led by Artha Venture Fund II (AVF II), with participation from Hyderabad Angels, TiE Angels, LetsVenture, VCMint, Invention Engine, and several notable angel investors including Arjun Vaidya, Anand Shahani (WedMeGood), Vivek Mathur (ex-Elevation Capital), and Ajeet Khurana.

The round also saw participation from early customers Habuild and InstaAstro, highlighting strong customer conviction in the platform.

This funding will accelerate Cheerio’s mission to build AI-native systems that run enterprise workflows autonomously across channels, tools, and teams.


The Problem: Enterprise Workflows Are Still Fragmented

Modern enterprises interact with customers across multiple channels:

  • WhatsApp

  • Email

  • Instagram and Messenger

  • SMS and RCS

  • In-app messaging

  • Customer support platforms

Each channel often runs on separate tools, disconnected workflows, and manual coordination between teams.

The result:

• delayed responses
• inconsistent customer experiences
• high operational overhead
• missed revenue opportunities

Traditional automation tools try to solve this with rules and integrations, but they often become complex, rigid, and difficult to scale.

Enterprises today need something fundamentally different.

They need AI systems that can run workflows, not just tools that trigger them.



Agentic AI: Autonomous Systems That Execute Workflows

Cheerio AI is built around a new architecture for enterprise automation: Agentic AI.

Instead of static automation rules, the platform deploys AI agents capable of understanding context and executing actions autonomously.

These agents can:

• gather customer information
• interpret intent and context
• trigger the right workflows
• execute tasks across systems
• respond across communication channels

This allows enterprises to automate complex operations across the entire customer lifecycle, including:

  • lead qualification

  • onboarding journeys

  • support resolution

  • retention campaigns

  • upsell and re-engagement workflows

The goal is simple: reduce manual coordination while improving speed, consistency, and outcomes.



Prompt-Driven Process Automation

Traditional automation tools require users to build complex flows using visual builders or engineering resources.

Cheerio AI simplifies this dramatically through prompt-driven workflow creation.

Teams can simply describe the workflow they want in natural language.

For example:

"When a lead messages from a Meta ad, capture their details, qualify the lead, and route them to sales if intent is high."

Cheerio AI converts that prompt into a structured workflow that executes automatically across connected systems.

This enables teams to:

• launch workflows quickly
• adapt processes without engineering support
• test and optimize faster
• reduce IT dependency

Automation becomes accessible to business teams, not just technical teams.


One Workflow Engine Across Every Channel

Customer journeys rarely happen on a single channel.

A typical journey may start with:

  • a Meta ad click

  • a WhatsApp conversation

  • an email follow-up

  • a support message on Instagram

Most tools treat these channels separately.

Cheerio runs one unified workflow engine across multiple communication channels, including:

• WhatsApp
• Email
• Instagram
• Messenger
• SMS
• RCS

This means enterprises can design one workflow and execute it everywhere, ensuring consistency across every customer interaction.


Built to Work With Enterprise Systems

Enterprise teams rely on a complex stack of tools — from CRMs and support systems to data warehouses and communication platforms.

Cheerio integrates with 8,000+ platforms, allowing workflows to operate within existing infrastructure without requiring major system changes.

Key capabilities include:

• omnichannel messaging orchestration
• enterprise workflow automation
• analytics and performance monitoring
• role-based access and governance
• enterprise-grade security and compliance

The platform ensures enterprises maintain visibility, control, and reliability as automation scales.


Growth and Impact So Far

Since launching, Cheerio AI has seen rapid adoption among enterprise teams.

Today, the platform:

• serves 150+ enterprise customers
• operates across 6 major industries
• has generated ₹500+ Crore in additional revenue for customers through intelligent retention automation
• has delivered 450% year-over-year revenue growth for the past two years

Companies use Cheerio to automate lead capture, customer engagement, support resolution, and lifecycle marketing workflows across channels.


What Investors Are Saying

According to Anirudh A. Damani, Managing Partner at Artha Venture Fund:


As enterprises operate across an increasingly complex set of digital channels, customer retention and lifetime value optimization have become mission critical. Cheerio’s AI-native approach to orchestrating customer engagement positions it well to become a category-defining platform in this space.


The investment also received strong ecosystem validation, with founders and operators choosing to invest alongside the fund.


The Vision Behind Cheerio AI

Cheerio AI was founded by leaders with 25+ years of combined experience across enterprise SaaS companies including Razorpay, Darwinbox, and Clientell.

Through their experience building and scaling enterprise systems, the founders observed a recurring challenge:

Companies were losing millions in growth opportunities because critical workflows remained manual or fragmented across tools.

Cheerio AI was built to solve this problem by enabling enterprises to automate customer lifecycle workflows using AI instead of manual coordination.

As Nishant Das, Co-founder of Cheerio AI, puts it:


In the future, companies may only need three employees — the business founder, the technology founder, and Cheerio AI.


The Road Ahead

With this new funding, Cheerio AI will accelerate product innovation and global expansion.

Over the next phase, the company plans to invest in:

Multi-modal AI capabilities
Expanding beyond messaging into voice and video automation.

Proprietary AI models
Building specialized small-model LLMs for workflow generation, engagement optimization, and ad generation.

Advanced agentic workflows
Developing autonomous systems capable of handling increasingly complex enterprise processes.

Global expansion
Growing teams across engineering, AI, enterprise sales, and customer success.

These investments will help Cheerio continue building a category-defining AI platform for enterprise automation and customer lifecycle orchestration.


In the News

Cheerio AI’s funding announcement has been covered by leading media platforms and startup ecosystems.

Read the full coverage here:


Thank You to Our Customers and Ecosystem

This milestone would not have been possible without the support of our customers, partners, investors, and team.

From early adopters who trusted Cheerio to run mission-critical workflows, to investors who believed in our vision for AI-native enterprise automation — we are deeply grateful.

The journey is just getting started.


See Cheerio AI in Action

Cheerio AI is helping enterprise teams run AI-driven workflows across acquisition, engagement, support, and retention.

If you’re exploring how automation and AI can improve productivity, reduce operational overhead, and increase revenue, we’d love to show you how the platform works.

👉 Book a Demo: https://www.cheerioai.com/schedule-a-demo



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