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§ Private Profile · San Francisco, CA, USA
Sigmoid is a technology company.
Sigmoid delivers AI-first data and analytics, data engineering, and machine learning solutions, an AI consultancy. It builds robust big data platforms, modernizing client data infrastructure and implementing advanced analytics. Its approach integrates GenAI, cloud, and business intelligence, transforming complex data into actionable insights for decision-making.
Founded in 2013 by IIT alumni Lokesh Anand, Mayur Rustagi, and Rahul Singh, their core insight focused on enterprises leveraging data for smarter business decisions. This led to Sigmoid’s creation, aiming to bridge the gap between raw data and impactful organizational decision-making through robust data foundations.
Sigmoid serves F1000 and large enterprises seeking competitive advantage via artificial intelligence. Its mission is to drive profound business transformation through modern data architectures that generate real-time insights. Sigmoid aims to guide organizations from isolated AI initiatives towards comprehensive, enterprise-wide AI adoption, reshaping their operational and strategic landscapes.
Sigmoid has raised $12.0M across 1 funding round.
Sigmoid has raised $12.0M in total across 1 funding round.
Sigmoid has raised $12.0M in total across 1 funding round.
Sigmoid's investors include Anandamoy Roychowdhary, Lego Ventures, Makers Fund, Peak XV Partners (formerly Sequoia Capital India & SEA), Play Ventures.
Sigmoid has raised $12.0M across 1 funding round. Most recently, it raised $12.0M Series B in September 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2022 | $12M Series B | Anandamoy Roychowdhary | LEGO Ventures, Makers Fund, Peak XV Partners (formerly Sequoia Capital India & SEA), Play Ventures | Announced |
Sigmoid is an AI-first data engineering and analytics company that builds scalable data platforms, modernizes data fabrics, and deploys AI/ML solutions—including Generative AI and Agentic AI—to enable Fortune 500 enterprises to make data-driven decisions and gain competitive advantages.[1][2][3] Serving industries like CPG, retail, banking, financial services, manufacturing, and supply chain, Sigmoid solves complex data challenges by automating pipelines, operationalizing AI models, and delivering tangible ROI, such as $55M+ in value from GenAI initiatives and 200+ transformative AI programs.[3][1] With ~360 employees across 19 locations (primarily Bengaluru, New York, and San Francisco), $105M revenue, and backing from Sequoia Capital, the company shows strong growth momentum, adding 132 hires recently and earning awards like Deloitte Technology Fast 500 and Inc. 5000.[1][4][6]
Founded in 2013 in San Francisco, Sigmoid emerged from a passion to unravel data complexities using open-source and cloud technologies, starting as a data engineering and science services provider for large data producers.[1][5] The company's early focus on building modern data architectures evolved with expertise in AI/ML, DataOps, and MLOps, leading to partnerships with Fortune 500 clients and recognition as a fast-growing innovator.[2][1] Key pivots included contributions to Apache Spark, Kubernetes, and Kafka, alongside global expansion to offices in New York, Dallas, Lima, Amsterdam, and Bengaluru, fueled by $12M in funding from Sequoia Capital.[1][4]
Sigmoid rides the AI-first data transformation wave, capitalizing on exploding demand for GenAI, Agentic AI, and governed data foundations amid enterprises' shift to real-time, predictive decision-making.[3][2] Timing is ideal as market forces like data explosion, cloud adoption, and ROI pressure on AI (e.g., $55M GenAI value delivered) favor specialists bridging data engineering to operational AI, reducing silos between pipelines and models.[3][1] By influencing ecosystems through open-source contributions and industry solutions (e.g., supply chain AI agents), Sigmoid accelerates enterprise AI adoption, enabling competitors and clients to modernize faster in a $100B+ data/AI services market.[2]
Sigmoid is poised for accelerated expansion through GenAI scaling, AI agent proliferation, and deeper enterprise embeds, potentially doubling headcount and revenue as AI maturity demands rise.[3][6] Trends like multimodal AI, edge deployment, and regulated industries will shape its path, evolving its influence from services provider to AI platform enabler with expanded DSLMs and accelerators.[3] As data remains the AI differentiator, Sigmoid's whitebox approach positions it to lead competitive edges for F1000s, building on its Sequoia-backed momentum.[1][4]