Dinesh Katiyar
Investor @ Simility
San Francisco, United States
Dinesh Katiyar is a seed investor at Simility in San Francisco focused on Software and Information Technology. Dinesh Katiya is a Partner at Accel. He joined Accel in 2011 and is based out of Silicon Valley.Dinesh focuses on early-stage enterprise companies pursuing global market opportunities. His investments include Delightree, Entytle, Mindtickle, Simility, and Zinier.Dinesh has been involved in several entrepreneurial pursuits in Silicon Valley. Hewas a founder at iLeverage (acquired by E.piphany), and SayNow (acquired by Google).Dinesh grew up in Mumbai, India. He holds a Ph.D. in Computer Science from Stanford and a Bachelor's degree in Computer Science from IIT Kanpur.
- Total investments:
- 21
- Last investment:
- Lead investor:
- 71%
Last updated:
For AI agents: llms.txt
Industries Dinesh Katiyar invests in
Stages Dinesh Katiyar invests in
Countries Dinesh Katiyar invests in
Investment Focus
Industry
- Software 6 (29%)
- Information Technology 6 (29%)
- Artificial Intelligence 5 (24%)
- Analytics 3 (14%)
- Machine Learning 3 (14%)
Stage
- Seed 8 (38%)
- Series A 4 (19%)
- Pre-Seed 2 (10%)
- Series B 2 (10%)
- Series C 1 (5%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Delightree
|
Delightree is a unified operations platform built for multi-unit brands that need visibility, consistency, and control as they scale. Most franchisors rely on disconnected tools for training, audits, and daily execution, which hides performance issues and slows growth. Delightree replaces that patchwork with a single, mobile-first system thatcentralizes operations, accelerates store openings through a purpose-built Location Launcher, and brings clarity across every site. Powered by AI, Delightree surfaces trends, risks, and opportunities hidden in everyday activity so brands can act early, operate smarter, and scale with confidence. | $25M / Venture - Series Unknown / Aug 04, 2026 | |
RapidCanvas
|
RapidCanvas is the AI platform for business users. With RapidCanvas, organizations can develop bespoke high-performance, production-grade AI solutions 10x faster, all without the need for specialized data science knowledge or coding expertise, or any investments in professional services. Leveraging cutting-edge AutoAI technology, RapidCanvaseffortlessly navigates users through an automated journey from raw data to explainable and actionable predictions. RapidCanvas works with industry leaders in manufacturing, direct-to-consumer, real estate, and financial services, empowering them to unlock the full potential of AI. For more information visit rapidcanvas.ai. | $16M / Series A / Dec 11, 2024 | |
|
RapidCanvas
|
RapidCanvas is the AI platform for business users. With RapidCanvas, organizations can develop bespoke high-performance, production-grade AI solutions 10x faster, all without the need for specialized data science knowledge or coding expertise, or any investments in professional services. Leveraging cutting-edge AutoAI technology, RapidCanvaseffortlessly navigates users through an automated journey from raw data to explainable and actionable predictions. RapidCanvas works with industry leaders in manufacturing, direct-to-consumer, real estate, and financial services, empowering them to unlock the full potential of AI. For more information visit rapidcanvas.ai. | $7.5M / Seed / Mar 13, 2024 | |
Effectiv
|
Effectiv is a next-gen fraud management platform with out-of-box solutions designed specifically for financial institutions. Effectiv’s focus is to significantly reduce the time it takes to deploy and adapt fraud detection strategies without adding any friction to good users.The Effectiv platform comes with an easy to use, no-code, orchestration& rule engine with pre-built integrations to all industry standard data & intelligence providers; an AI-assisted case management system built to increase investigator efficiency; and a powerful reporting and analytics dashboard.About us: Our founding team has over 30 years of combined experience in building risk mitigation systems at companies like Google, PayPal and Walmart. We were also part of the early team at Simility (acquired by PayPal), where we developed fraud detection solutions for large banks like US Bank, Synchrony, Discover, Zions, Itau and Santander. | $4.5M / Seed / Jul 26, 2023 | |
Spendflo
|
Spendflo is an AI-native procurement platform that helps fast-growing and enterprise companies bring structure, visibility, and control to how they buy and manage vendors. By orchestrating procurement workflows across finance, procurement, IT, and legal, Spendflo automates intake, approvals, renewals, and vendor management in one system. Withbuilt-in AI agents and deep integrations across ERP, CLM, and IT systems, Spendflo enables organizations to reduce maverick spend, improve compliance, and make every dollar count. | $11M / Series A / Apr 04, 2023 | |
|
Spendflo
|
Spendflo is an AI-native procurement platform that helps fast-growing and enterprise companies bring structure, visibility, and control to how they buy and manage vendors. By orchestrating procurement workflows across finance, procurement, IT, and legal, Spendflo automates intake, approvals, renewals, and vendor management in one system. Withbuilt-in AI agents and deep integrations across ERP, CLM, and IT systems, Spendflo enables organizations to reduce maverick spend, improve compliance, and make every dollar count. | $4.4M / Seed / Jun 13, 2022 | |
|
Spendflo
|
Spendflo is an AI-native procurement platform that helps fast-growing and enterprise companies bring structure, visibility, and control to how they buy and manage vendors. By orchestrating procurement workflows across finance, procurement, IT, and legal, Spendflo automates intake, approvals, renewals, and vendor management in one system. Withbuilt-in AI agents and deep integrations across ERP, CLM, and IT systems, Spendflo enables organizations to reduce maverick spend, improve compliance, and make every dollar count. | $4.4M / Seed / Jun 13, 2022 | |
|
Effectiv
|
Effectiv is a next-gen fraud management platform with out-of-box solutions designed specifically for financial institutions. Effectiv’s focus is to significantly reduce the time it takes to deploy and adapt fraud detection strategies without adding any friction to good users.The Effectiv platform comes with an easy to use, no-code, orchestration& rule engine with pre-built integrations to all industry standard data & intelligence providers; an AI-assisted case management system built to increase investigator efficiency; and a powerful reporting and analytics dashboard.About us: Our founding team has over 30 years of combined experience in building risk mitigation systems at companies like Google, PayPal and Walmart. We were also part of the early team at Simility (acquired by PayPal), where we developed fraud detection solutions for large banks like US Bank, Synchrony, Discover, Zions, Itau and Santander. | $4.1M / Seed / Mar 29, 2022 | |
|
Effectiv
|
Effectiv is a next-gen fraud management platform with out-of-box solutions designed specifically for financial institutions. Effectiv’s focus is to significantly reduce the time it takes to deploy and adapt fraud detection strategies without adding any friction to good users.The Effectiv platform comes with an easy to use, no-code, orchestration& rule engine with pre-built integrations to all industry standard data & intelligence providers; an AI-assisted case management system built to increase investigator efficiency; and a powerful reporting and analytics dashboard.About us: Our founding team has over 30 years of combined experience in building risk mitigation systems at companies like Google, PayPal and Walmart. We were also part of the early team at Simility (acquired by PayPal), where we developed fraud detection solutions for large banks like US Bank, Synchrony, Discover, Zions, Itau and Santander. | $4.1M / Pre-Seed / Mar 29, 2022 | |
Akridata
|
Akridata solves AI Data Logistics challenges of Autonomous Vehicles. Its cloud-managed, scale-out platform spans edge (high speed ingest, prep and prioritization) to core (tiered storage and access). Benefits include global data access (anywhere, anytime), shorter training times, and upto 10x lower storage costs. Backed by Accel and Menlo Ventures. | $15M / Series A / Oct 05, 2021 | |
| See all 21 investments → | |||
Co-Investors
Accel
3 deals together
BoldCap
3 deals together
EDBI
2 deals together
Emergent Ventures
2 deals together
Forum Ventures
2 deals together
IQT
2 deals together
About Simility
Simility helps companies prevent fraud in real-time with machine learning, big data analytics, and data visualization capabilities. It levels the playing field against even the most sophisticated fraud ring by enabling analysts to create and configure detection mechanisms without having to write one line of code. It is free to analyze trends andtest insights at will, analysts can now match fraudster's move for move.
Simility Contacts
| Name | Phone | Socials | |
|---|---|---|---|
|
Darren Wong
Software Engineer
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Dinesh Katiyar
Investor
|
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Eric Newman
Vice President Business Development
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Kedar Samant
Co-Founder & CTO
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Lynn Strand
VP of Marketing
|
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FAQ
What does Dinesh Katiyar invest in?
Dinesh Katiyar invests primarily in Software, Information Technology and Artificial Intelligence startups, most often at Seed and Series A stage. Most of the 21 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did Dinesh Katiyar last invest?
The most recent investment recorded for Dinesh Katiyar closed in Aug 2026. Shizune tracks 21 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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