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Snitch operates as a Direct-to-Consumer (D2C) men's fashion brand, offering a comprehensive range of apparel including shirts, denim, tailored trousers, accessories, and outerwear. The company focuses on integrating timeless style with modern trends, ensuring quality craftsmanship and premium fabrics in its collections. Through its online platform and an expanding network of physical stores across India, Snitch provides a seamless shopping experience, emphasizing versatility, inclusivity, and individual expression for its clientele.
The company was founded in 2019 by Siddharth Dungarwal, driven by the belief that fashion should empower every man to feel confident, comfortable, and authentic. Dungarwal established Snitch with a commitment to creating menswear that celebrates diverse styles and body types. This foundational insight guided the brand's development, moving towards an accessible model that prioritizes a direct relationship with its customers.
Snitch serves men across various tastes, lifestyles, and sizes, including a dedicated plus-size collection, reflecting its inclusive brand philosophy. The company's vision is to enable men to curate wardrobes that enhance their personal style and self-assurance. It aims to build a community that values craftsmanship and personal expression, continuing to expand its presence to deliver high-quality fashion and a distinctive shopping journey.
Snitch has raised $77.7M across 3 funding rounds.
Snitch has raised $77.7M in total across 3 funding rounds.
Snitch has raised $77.7M across 3 funding rounds. Most recently, it raised $31.7M Series B in October 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 29, 2025 | $31.7M Series B | 360 ONE Asset | SWC Global | Announced |
| May 1, 2025 | $33M Series B | — | Shunwei Capital, Summit Partners | Announced |
| Dec 1, 2023 | $13M Series A | Tuck LYE KOH | Shunwei Capital, Summit Partners | Announced |
Snitch has raised $77.7M in total across 3 funding rounds.
Snitch's investors include 360 ONE Asset, SWC Global, Shunwei Capital, Summit Partners, Tuck Lye Koh.
Snitch AI is a technology company specializing in machine learning (ML) model validation and quality assurance. It provides tools and services that help businesses ensure their ML models function as expected by detecting anomalies, monitoring performance beyond accuracy, and generating validation reports for compliance and regulatory needs. Its product serves data scientists, ML engineers, and business stakeholders who rely on trustworthy AI models to make decisions. Snitch AI addresses the critical problem of ML model reliability and robustness, enabling continuous improvement and risk mitigation in AI deployments. The company has demonstrated growth momentum by integrating seamlessly into MLops frameworks and supporting flexible deployment options such as cloud, on-premises, and hybrid environments[1][3].
Founded in 2017 and headquartered in Montreal, Quebec, Snitch AI emerged from the need to improve trust and transparency in machine learning systems. While specific founders are not detailed in the available sources, the company’s origin is tied to advancing AI validation technologies, including patented innovations in computer vision and 3D imaging. Early traction likely came from addressing a growing market demand for ML model governance and compliance, especially as AI adoption expanded across industries[1].
Snitch AI rides the rising trend of AI governance and responsible machine learning, a crucial area as organizations face increasing scrutiny over AI fairness, transparency, and compliance. The timing is significant given the rapid proliferation of AI models in critical applications, where failures can have costly or harmful consequences. Market forces such as regulatory pressure, enterprise AI adoption, and the complexity of ML systems favor solutions like Snitch AI that provide continuous validation and risk management. By enabling trustworthy AI, Snitch AI influences the broader ecosystem by helping companies deploy AI responsibly and confidently, thereby fostering greater adoption and innovation in the field[1][3].
Looking ahead, Snitch AI is well-positioned to capitalize on the growing demand for AI validation tools as regulatory frameworks around AI mature globally. Trends such as explainable AI, model monitoring in production, and AI lifecycle management will likely shape its product roadmap. The company’s ability to maintain flexibility in deployment and integration will be key to expanding its customer base across industries. As AI becomes more embedded in business processes, Snitch AI’s influence may grow from a niche validation tool to a critical component of enterprise AI infrastructure, helping to set standards for model reliability and compliance.
In summary, Snitch AI addresses a vital need in the AI ecosystem by ensuring machine learning models are reliable, compliant, and continuously improving, making it a significant player in the responsible AI movement[1][3].
