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Avatar Growth Capital

415, 4TH FLOOR, PLOT-211, DALAMAL TOWER, FREE PRESS JOURNAL MARG, NARIMAN POINT, MUMBAI, Maharashtra, 400021, India

Overview

Avatar Growth Capital operates as an investment firm that focuses on growth-stage companies.

Total investments
6
Lead investments
5
Investments · 12mo
1
Active investors
3
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Investment portfolio

  • HrdWyr

    Participated · Series A · May 2026

    HrdWyr designs AI-native System-on-Chip (AISoC) semiconductor chips optimized for edge computing and physical AI use cases. The company focuses on purpose-built chips for sectors including consumer electronics, electric vehicles, industrial systems, and data centers, aiming to deliver low-latency processing and improved power efficiency for AI workloads at the edge. HrdWyr operates as a fabless semiconductor firm and integrates AI capabilities directly into chip architecture to enable real-time processing and autonomous decision-making on devices. Founded by Ramamurthy Sivakumar, the startup has secured strategic customers and partnerships, including a recent collaboration with audio and wearable brand boAt. The company raised $13 million in a Series A to accelerate AISoC development and expand global customer engagements. Its commercial plan centers on scaling product development and broadening deployments across target industries.

  • Mad Street Den

    Led · Series C · Jan 2023

    Mad Street Den, based in Redwood City, California, is led by CEO and founder Ashwini Asokan and develops enterprise AI products. Its Blox platform helps large enterprises create clean and enriched data, power personalized customer experiences, and automate complex document workflows. The company also offers Vue.ai, a unified Visual AI platform for retail that uses image recognition and data science to generate product and customer intelligence and combine these with market insights. Mad Street Den acquired Inturn, a New York-based enterprise solution that helps retailers monetize slow-moving and excess inventory. In January 2023 the company raised $30M in a Series C and intends to use the funds to expand its artificial intelligence offerings across industries. The Series C was led by Avatar Growth Capital. Mad Street Den develops AI technology and a suite of products for retail and e-commerce under the Vue.ai sub-brand, including visual search, AI tagging, personalized homepages and tailored product recommendations. Vue.ai comprises roughly 14 fashion-focused products; the company also builds AI features for mobile gaming, engagement analysis, IoT, photo apps and social media (gaze-tracking, gesture detection). The startup is registered in the U.S. but is principally located in Chennai, India, and maintains offices in London and San Francisco. Founders Anand Chandrasekaran and Ashwani Asokan are ex‑Silicon Valley executives with technical backgrounds; the company was about two-and-a-half years old at the time of the article. On the business side, Mad Street Den reports it has been generating revenue from day one via multi-year, enterprise-style deals typically charged by API calls, and it is focused on scaling rather than immediate profitability. Near-term plans include expanding the San Francisco AI team (to roughly 5–6 members), growing headcount from about 50 to 75, rolling out offline offerings using anonymous video/image recognition with retail partners, and proving scale over the next 12 months. Mad Street Den is a Chennai-based artificial intelligence and computer-vision company founded in mid-2014 by Ashwini Asokan and Anand Chandrasekaran. It provides AI and computer-vision capabilities to businesses worldwide via its cloud-based platform, MADStack, which offers a range of computer-vision modules. The firm's flagship product is a visual-search tool for fashion e-commerce that finds and recommends clothing items based on images. Mad Street Den also serves industries including gaming, ad tech, and analytics (user engagement measurement and market research). The company has raised a seed round of $1.5 million (about Rs 9 crore) and says the funds will be used for technology development. Founders bring industry and academic experience: Ashwini has product and interaction-design experience including Intel and Carnegie Mellon credentials, while Chandrasekaran has an electrical-engineering background with a PhD in Neuroscience and prior industry roles.

  • CoreStack Inc

    Led · Series B · Nov 2021

    CoreStack offers a comprehensive multi-cloud governance and automation solution spanning CNAPP, SecOps, FinOps, and CloudOps. The platform leverages AI to streamline compliance, cost optimization, risk detection, and operational policy enforcement for enterprises and public institutions. It currently enforces compliance against more than 2,000 industry standards and supports AWS, Azure, Google Cloud, Oracle, hybrid, edge, and private cloud deployments. Headquartered in Bellevue, WA, the company also maintains offices in Washington, D.C., Houston, and India. Management, led by founder and CEO Ezhilarasan (Ez) Natarajan, plans to continue product innovation, accelerate market expansion, and explore inorganic growth opportunities. Its recent $50 million growth financing provides additional capital to execute these initiatives while preserving operational agility.

  • Blueshift

    Led · Series C · Feb 2021

    Blueshift is a marketing automation platform that uses AI-based decisioning to unify customer data, segment audiences, and recommend optimal channels and timing for engagement. The company has developed a GenAI suite and recently added features like customer profile summaries for call center agents and auto-generated personalized marketing content in different tones and styles. Blueshift says the latest financing will be used to refinance existing debt and to expand sales and marketing and general operations. The company was co-founded in 2014 by Vijay Chittoor, Mehul Shah and Manyam Mallela and positions itself against both legacy incumbents and newer AI-first competitors. Blueshift competes in a large and growing marketing automation market, which the article cites as $4.62 billion in 2021 and projected to reach $13.32 billion by 2030. The startup emphasizes mitigation of GenAI shortcomings such as bias and hallucination while pitching its platform as a solution to marketers’ personalization challenges. Blueshift builds an AI-driven customer data platform called SmartHub that ingests and unifies data from multiple sources to power marketing actions across channels. The product is designed for non-technical users while remaining customizable for engineers. Blueshift emphasizes first-party data and decisioning at the customer level to address fragmented customer experiences. Its customers include LendingTree, Discovery Inc., Udacity, BBC and Groupon. The company says it has seen 858% revenue growth over the last three years, though it is not disclosing current revenue or valuation. Blueshift is most active in the U.S. and Europe and plans to expand to more markets while continuing to expand its technology. The team is focused on scaling from an app to a broader platform that distributes data to more last-mile applications. Blueshift is a cross-channel marketing platform that uses AI and machine learning to unify and make sense of growing customer data. The product is built to help marketers engage customers across multiple channels from a single tool, including email, mobile notifications, Facebook custom audiences and WeChat. The company emphasizes its AI capabilities as its differentiator versus incumbents such as Adobe, Salesforce and Oracle and against well-funded startups attacking the same problem. Blueshift plans to use the new funding to continue building out its marketing platform and to show marketers how to communicate intelligently across channels. Customers include LendingTree, Udacity and the BBC. The company is led by co-founder and CEO Vijay Chittoor. Blueshift is a San Francisco, CA–based marketing automation platform led by co-founder and CEO Vijay Chittoor. Its platform combines big data and machine learning and leverages a proprietary Interaction Graph™ to enable marketers to segment customers by behavior, predictive scores, affinity, catalog attributes, lifecycle, demographics, response to messages, traffic sources and more. Customers can apply merchandising techniques such as collaborative filtering, affinity-based content, retargeting, trending content, content updates and user and event attributes to boost response. The company closed an $8.0m Series A round of venture financing to accelerate sales and marketing and continue building out its Interaction Graph platform. The round was led by Storm Ventures with participation from existing investor Nexus Venture Partners, and Anshu Sharma of Storm joined Blueshift's board. Blueshift Labs provides a SaaS-based Predictive Marketing Automation platform that uses big data to help ecommerce marketers create behaviorally targeted campaigns. Its product enables multi-channel campaigns across email, Display RTB and mobile push notifications. The platform is designed to increase user activation and retention rates through behavioral targeting. The company is led by co-founder and CEO Vijay Chittoor and is based in San Francisco, CA. In April 2014 Blueshift raised a $2.6M seed financing to support its growth. No operating metrics were disclosed in the article.

  • Sirion

    Led · Series C · May 2020

    Sirion delivers a contract lifecycle management (CLM) solution that embeds specialized AI agents directly into enterprise contracting workflows. The platform supports more than seven million contracts in over 100 languages, allowing organizations to gain visibility into risk, compliance, and post-signature obligations. By combining conversational interfaces with deep contract data, Sirion aims to turn static documents into actionable, executable knowledge. Management plans to accelerate product innovation and broaden global go-to-market reach, shifting customers from simple contract repositories to intelligent, workflow-driven contracting environments. The company is positioning its AI capabilities to handle drafting, negotiation, and obligation management, giving teams faster turnaround and higher confidence in contract performance. No revenue or valuation figures were disclosed in the article, but the scale of contracts managed suggests significant enterprise adoption.

Team