

GraasAI, a Singapore-headquartered e-commerce technology company, has raised $9 million in a pre-Series B funding round to accelerate the development and expansion of its AI Agent Foundry in India. The investment round was led by Tin Men Capital, with participation from Integra Partners, Stellaris Venture Partners, Keiretsu Forum, and existing investors.
The funding will be used to advance GraasAI’s proprietary Agentic AI Stack, expand its engineering and product teams in India, and strengthen its presence in the rapidly growing e-commerce automation market.
AI Agents for End-to-End E-Commerce Operations
Founded in 2021, GraasAI focuses on building AI agents that can independently manage various aspects of e-commerce operations. These AI-driven tools aim to automate processes such as inventory management, pricing optimisation, digital marketing, demand forecasting, and customer engagement, reducing reliance on manual workflows.
The company’s flagship platform, the AI Agent Foundry, enables businesses to deploy customised AI agents trained on industry-specific and company-specific data. These agents can handle repetitive operational tasks, analyse large data sets for actionable insights, and make decisions in real time—helping e-commerce brands scale efficiently.
GraasAI’s Co-founder and CEO, Puneet Goyal, said the company’s goal is to make AI a “co-pilot” for every e-commerce function. “We envision a future where brands focus on strategy and creativity, while AI agents take care of operational complexity. This funding will accelerate our mission to make AI adoption seamless for merchants of all sizes,” he said.
The Indian AI E-Commerce Opportunity
India’s e-commerce market, projected to surpass $200 billion by 2030, is seeing increasing adoption of automation technologies to handle its scale and complexity. With the country’s diverse customer base, large SKU volumes, and fast-moving inventory cycles, businesses are turning to AI for predictive analytics, personalised marketing, and real-time operational decision-making.
Industry analysts note that agentic AI—where autonomous software agents perform complex, multi-step tasks—could be a game changer for online retailers. By integrating with marketplaces, payment gateways, and logistics providers, such systems can reduce inefficiencies, optimise ad spend, and enhance conversion rates without constant human intervention.
Investor Confidence in Agentic AI Models
Lead investor Tin Men Capital highlighted GraasAI’s potential to transform the retail sector. “We are witnessing the emergence of AI-native companies that are rewriting how businesses operate. GraasAI’s agent-based approach is ahead of the curve, addressing a real market gap in operational automation for e-commerce,” said the firm in a statement.
Existing investors also reaffirmed their support, citing GraasAI’s steady customer acquisition and revenue growth in the past 12 months. The company claims to work with over 400 e-commerce brands across Southeast Asia and India, including mid-sized sellers and large-scale retailers.
Building in India, Scaling Globally
GraasAI plans to make India a key engineering and deployment hub for its AI solutions. The new funding will go towards expanding its R&D centre, hiring AI engineers, and establishing partnerships with digital marketing agencies, logistics providers, and cloud service platforms.
According to the company, India’s combination of high digital adoption, growing merchant base, and talent-rich tech ecosystem makes it the ideal location for scaling AI-driven e-commerce operations. The Agent Foundry will also offer localisation features—supporting multiple Indian languages and region-specific buying behaviours—to cater to diverse markets.
Competitive Landscape and Differentiation
While AI tools for e-commerce are not new, GraasAI positions itself as a full-stack automation provider rather than offering single-point solutions. Competitors in the space often focus on narrow use cases such as marketing optimisation or inventory tracking. GraasAI’s approach integrates these functions into a unified AI agent ecosystem, allowing for cross-functional decision-making and greater operational coherence.
Industry experts believe this integrated model could help brands achieve higher ROI on marketing spends, better stock management, and reduced operational overheads, especially during peak sales seasons like Diwali, festive sales, and end-of-season clearances.
The Road Ahead
The fresh capital comes at a time when agentic AI is gaining traction globally, with use cases extending from customer service chatbots to autonomous financial planning. For GraasAI, the immediate focus will be on enhancing agent intelligence, strengthening data security protocols, and expanding its customer base in Tier 1 and Tier 2 cities.
If successful, GraasAI’s model could serve as a blueprint for AI adoption in other retail-heavy markets. As Puneet Goyal summed up, “We want AI agents to be as common in e-commerce back offices as Excel sheets are today.”