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Rajeev Shrivastava

CHIEF EXECUTIVE OFFICER

Rajeev brings extensive leadership experience from top technology companies. Previously, he drove significant growth and innovation at Google and NICE inContact, leading major strategic initiatives and successful mergers. His expertise in scaling businesses and fostering innovation is underpinned by an MBA from the Wharton School and a Bachelor’s degree from Delhi College of Engineering. Prior to joining TigerGraph, Rajeev was at Google, where he served as GM & Product Lead for an AI-first Customer Conversation Platform. In this role, he managed a significant P&L and led teams driving innovation and growth within Google’s expansive business landscape. Previously, Rajeev played a pivotal role in the growth of NICE inContact as their Chief Product & Strategy Officer. Prior to NICE inContact, Rajeev led go-to-market and marketplace initiatives at Rackspace.

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A graphic with icons representing a bank, email, and user profiles, connected by arrows and X marks. The title reads: Failed Update Patterns in KYC. How Identity Graphs Catch Trying to Become Someone Else. TigerGraph logo is in the corner.
Entity Resolution, KYC risk assessment
Wed 28 Jan 2026
Failed Update Patterns in KYC. How Identity Graphs Catch “Trying to Become Someone Else”
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A network diagram illustrating AML graph analytics for structuring and layering detection, with icons of banks, money, and stores connected by dotted lines. The TigerGraph logo and the title are shown at the bottom.
Fraud / Anti-Money Laundering
Thu 22 Jan 2026
Money Laundering Detection with AML Graph Analytics’ Structuring and Layering 
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A diagram shows money transfer from Account A to Account B through a central bank icon, with two other banks below. Text: Capturing Cross-Border Routing Signals That Hide in Plain Sight. TigerGraph logo in the top left.
Finance, Fraud / Anti-Money Laundering
Wed 21 Jan 2026
Capturing Cross-Border Routing Signals That Hide in Plain Sight
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A network diagram with icons for people, banks, houses, and locations, illustrating connections. Text reads: How Graph Analysis Finds Repeating Laundering Patterns. TigerGraph logo appears in the top left corner.
Fraud / Anti-Money Laundering
Tue 20 Jan 2026
How Graph Analysis Finds Repeating Laundering Patterns
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A graphic compares isolated transaction amounts on the left with a connected network of icons (person, devices, location) on the right, illustrating how graph context reveals structuring and evasion patterns. TigerGraph logo is present.
Fraud / Anti-Money Laundering, Graph Databases
Wed 14 Jan 2026
Structuring and Evasion Patterns Become Clearer With Graph Context
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A central orange user icon is connected to smaller nodes, surrounded by six gray icons representing various business concepts. Text reads: High-Impact Graph Database Project Ideas for Modern Data Teams. TigerGraph logo is in the top left.
Graph Databases, TigerGraph
Tue 13 Jan 2026
High-Impact Graph Database Project Ideas for Modern Data Teams
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An infographic from TigerGraph shows a comparison: on the left, nodes linked in a network labeled Before point to a central LLM circle; on the right, nodes with icons branch from LLM. Text reads, Should Graphs Power AI Before or After the LLM?.
Graph + AI
Wed 17 Dec 2025
Should Graphs Power AI Before or After the LLM?
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A diagram showing three stages: a connected graph labeled Graph, a grid labeled Vectorization, and a head with a gear labeled LLM. Text below reads, Agentic GraphRAG Gives AI a Playbook for Smarter Retrieval.
Graph + AI
Mon 15 Dec 2025
Agentic GraphRAG Gives AI a Playbook for Smarter Retrieval
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