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Cheerio AI

Founded 2021 · 36 employees on LinkedIn · 11 known investors

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Cheerio AI is an agentic AI automation platform that enables enterprises to orchestrate customer engagement workflows across multiple channels (WhatsApp, Email, Instagram, Messenger, SMS, RCS) using AI models and integrations, reducing manual processes and IT dependency while driving retention and growth.

Also known as Cheerio · Cheerio AI

Founders & leadership

Cheerio AI was founded in 2021 by Priam Jain and Nishant Das.

PJPriam Jain
Priam JaininCo-founder · Chief Technology OfficerPriam Jain is Co-Founder and CTO of Cheerio AI, an agentic AI automation platform that enables enterprises to orchestrate customer engagement workflows across multiple channels. He focuses on engineering and building data-driven marketing automation technology.
NDNishant Das
Nishant DasinFounderHe brings 12+ years of experience in SaaS and AI development.

Investors · 11

Also in the syndicate · 10

Anand ShahaniArjun VaidyaArtha Venture Fund IIleadHabuildInstaAstroInvention EngineLetsVentureTiE AngelsVCMintVivek Mathur

Company profile

researched Aug 2026

Cheerio AI is an AI-native enterprise automation platform that orchestrates and executes customer-facing business workflows across multiple communication channels. The platform combines omnichannel engagement, workflow automation and applied AI so that non-technical marketing, sales, support and retention teams can build and run processes without engineering support. A single workflow engine spans WhatsApp, Email, Instagram, Messenger, SMS and RCS, allowing one workflow to be designed once and executed across every channel a customer journey touches.

Rather than static rule-based automation, Cheerio deploys AI agents that gather customer information, interpret intent and context, trigger workflows, execute tasks across connected systems and respond on messaging channels. Use cases span the customer lifecycle, including lead qualification, onboarding journeys, support resolution, retention campaigns and upsell or re-engagement flows. Workflows can be created from natural-language prompts, which the platform converts into structured, executable processes; triggers include NLP, static, fuzzy and generic keyword matching with AI-based exception handling. The company states the platform draws on 300+ AI models and integrates with 8,000+ platforms including CRMs, support systems, data warehouses and communication tools, with analytics and performance monitoring, role-based access and governance, and enterprise security and compliance controls.

Founding story

The founders bring a combined 25+ years of experience across enterprise SaaS companies including Razorpay, Darwinbox and Clientell. From building and scaling enterprise systems they observed that companies lost growth opportunities because critical workflows stayed manual or fragmented across tools, and built Cheerio AI to automate customer-lifecycle workflows with AI instead of manual coordination.

Business model

B2B software sold to enterprises; the platform is offered as a subscription and usage-based SaaS product, with pricing handled through direct contact and a demo request rather than published price tiers. Vendor onboarding, migration, integration, documentation and training, and phone and email support are part of the commercial package.

Subscription and usage-based SaaS fees from enterprise customers; pricing is quoted on request.

Traction

As of the March 2026 seed announcement, the company reported more than 150 enterprise customers across six major industries, integrations with over 8,000 platforms, 450% year-over-year revenue growth for the prior two years, and INR 500+ crore in additional revenue generated for customers through retention automation. Two early customers, Habuild and InstaAstro, participated in the seed round.

Latest developments

In March 2026 Cheerio AI announced an INR 8 crore (approximately $1M) seed round led by Artha Venture Fund II with angel, syndicate and customer participation. The company said the capital will fund multimodal AI capabilities extending automation from messaging into voice and video, proprietary small-model LLMs for workflow and ad generation, more advanced agentic workflows, and hiring across engineering, AI, enterprise sales and customer success ahead of international expansion.

Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

Positioned as an AI-native alternative to traditional growth and marketing automation tools, which the company characterises as rule-heavy, channel-specific and dependent on engineering teams. A private-market data provider classifies the company in enterprise software with verticals spanning workflow automation, conversational AI, customer experience, marketing and low-code/no-code, and lists Gupshup among comparable companies.

The company contrasts its unified, prompt-driven workflow engine with channel-specific, rules-based automation tools: workflows are described in natural language and executed consistently across six channels, with unified reporting, real-time visibility, minimal engineering dependency and editable workflows for fast changes.

Technology

An agentic AI architecture in which autonomous agents interpret intent and execute multi-step actions, layered on a single cross-channel workflow engine. Workflows are generated from natural-language prompts instead of drag-and-drop builders, and can be triggered by NLP, static, fuzzy or keyword-based signals with AI exception handling. The platform provides access to 300+ AI models and 8,000+ integrations, plus role-based access controls, governance and monitoring. Planned technical work funded by the seed round includes multimodal capabilities extending automation from messaging into voice and video, and proprietary small-model LLMs for workflow generation, engagement optimisation and ad generation.

Go-to-market

Direct enterprise sales motion led by demo requests and contact-based pricing, supported by a free trial entry point on the website and onboarding, migration and integration services. The seed round proceeds are partly allocated to scaling enterprise sales and customer success teams for global expansion.

Enterprises running marketing, sales, support and retention workflows across messaging channels, particularly business teams that lack internal IT or engineering bandwidth to build and maintain automations. The company reports customers across six major industries, including consumer businesses such as Habuild and InstaAstro.

Geography

Headquartered in Bengaluru (Bangalore), India, with stated plans to scale teams to support global growth.

History

A private-market data provider lists the company as founded in 2021 and headquartered in Bangalore. In March 2026 the company announced its seed round, its first publicly reported institutional financing, and set out plans to expand into multimodal automation and proprietary models.

Risks & controversies

Growth, revenue-impact and customer-count figures are company-reported and not independently verified. Reporting on the company's funding history is inconsistent: a private secondary-market data page lists total funding of $2M and a website domain differing from the company's own, while the primary announcement and press coverage describe a single INR 8 crore (about $1M) seed round.

Compiled by commissioned research from 7 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
AI models availableJan 2026300 models
Communication channels supportedJan 20266 channels
Enterprise customersMar 2026150 customers
Industries servedMar 20266 industries
Integrations supportedMar 20268,000 integrations
Year-over-year revenue growthMar 2026450%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 1

launches, deals, and filings
Mar 2026
Cheerio AI raises INR 8 crore (about $1M) seed round led by Artha Venture Fund II

Cheerio AI announced a seed round of INR 8 crore (approximately $1M) led by Artha Venture Fund II, with participation from Hyderabad Angels, TiE Angels, LetsVenture, VCMint and Invention Engine, angel investors Arjun Vaidya, Anand Shahani (WedMeGood), Vivek Mathur (ex-Elevation Capital) and Ajeet Khurana, and early customers Habuild and InstaAstro. Proceeds are earmarked for multimodal AI capabilities, proprietary small-model LLMs for workflow and ad generation, expansion from messaging into voice and video, and hiring across engineering, AI, enterprise sales and customer success.

$1M source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Research sources · 7

primary sources listed

7 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Cheerio AI do?
Cheerio AI is an agentic AI automation platform that runs enterprise customer-engagement workflows across six messaging channels.
Who founded Cheerio AI?
Cheerio AI was founded by Priam Jain, Nishant Das in 2021.
Who are Cheerio AI's investors?
Cheerio AI's investors include Hyderabad Angels.