Mode Analytics

Mode Analytics is a technology company.

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Updated: Feb 17, 2026 ·

Recent News & Mentions

Aug 1, 2020FundingMode Analytics - Series D Jun 1, 2014FundingMode Analytics - Seed Oct 1, 2013FundingMode Analytics - Seed

Financial History

Mode Analytics has raised $35.5M across 3 funding rounds. Most recently, it raised $33.0M Series D in August 2020.

Total Raised

$35.5M

Valuation

N/A

Funding Rounds Raised

Date	Round	Other Investors
Aug 1, 2020	$33.0M Series D	Adverb Ventures, Ascension Ventures, Bain Capital Ventures, BlueRun Ventures, Flucas Ventures, Grotech Ventures, H.I.G. Capital, Jetstream, Trust Fund, Weekend Fund, Gautam Gupta, Jeremy Cai, Nik Sharma, Sahin Boydas
Jun 1, 2014	$2.0M Seed	CASC Ventures, Celesta, ff Venture Capital, Fifth Wall, Redpoint Ventures, Gary Benitt, Michael McCartney, Wayne Chang
Oct 1, 2013	$550K Seed	Binary Capital, Bling Capital, Craft Ventures, Khosla Ventures, Silicon Badia, Y Combinator, Gil Elbaz, Jeremy Stoppelman, Sam Altman, Tikhon Bernstam

Financial History

Mode Analytics has raised $35.5M across 3 funding rounds.

Total Raised

$35.5M

Valuation

N/A

Deep Dive

High-Level Overview

Mode Analytics is a modern business intelligence (BI) platform designed to unite data teams and business teams, enabling collaborative analytics that drive business outcomes through tools like SQL, R, Python, visualizations, and self-service reporting.[1][2][5] It serves enterprises across industries, including 50% of the Fortune 500, by solving the problem of siloed data analysis—turning raw data into actionable insights without rigid models or team conflicts, with over 5 million queries run daily.[1][4][5] Mode amplifies modern data stacks (from ingestion to transformation) as a central hub, fostering company-wide data maturity and competitive advantage.[2][5]

Origin Story

Mode Analytics was founded in 2013 in San Francisco, CA, by three former analytics professionals at Yammer who recognized the need for a collaborative platform to streamline workflows, enable organization-wide data sharing, and empower analysts.[1][4][7] The idea emerged from their experience in analytics, aiming to make data analysis more open and collaborative rather than isolated; they launched with a web-based tool combining SQL editors, visualizations, publishing, and discovery for shareable, reproducible insights.[7] Early traction came from addressing real-world pain points like proprietary data collaboration via private workspaces, evolving into a full BI platform supporting multimodal analysis.[4][7]

Core Differentiators

Code-first flexibility for data teams: Supports SQL, R, Python, and advanced visualizations directly on raw data from any cloud warehouse, enabling rapid ad hoc analysis without rigid models—ideal for novel business questions.[2][5][6]
Self-service for business users: Features like Datasets (curated, reusable blocks), drag-and-drop exploration, and real-time sharing via unique URLs empower non-technical teams with trusted, governed insights in one platform.[2][4][5]
Unified intelligence layer: Integrates with modern data stacks to maximize ROI, combining deep analyst tools with easy reporting; built around modern data team practices, not legacy BI constraints.[1][2][5]
Community and learning focus: Offers free resources like SQL School, fostering an analytics community while delivering high-impact, collaborative experiences.[2][4]

Role in the Broader Tech Landscape

Mode rides the modern data stack trend, where cloud warehouses, transformation tools, and BI converge to democratize data beyond dashboards—emphasizing collaboration between data experts and domain experts amid exploding data volumes.[1][2][5] Timing aligns with the shift to AI-powered analytics and self-service, as businesses demand speed from code-heavy analysis to no-code exploration; Mode's code-first roots position it perfectly for this hybrid era.[6] Market forces like Fortune 500 adoption and 5M+ daily queries favor it, influencing the ecosystem by maximizing stack investments, reducing bottlenecks, and turning data into a "force of gravity" for decision-making across sectors.[1][3][5] Its acquisition by ThoughtSpot in 2025 for $200M accelerates AI integration, blending Mode's analyst tools with ThoughtSpot's natural language search to create AI-first BI.[6]

Quick Take & Future Outlook

Post-acquisition by ThoughtSpot, Mode will evolve into an AI-enhanced BI powerhouse, pairing its code-first analysis with AI-driven code-free exploration to eliminate bottlenecks and scale insights organization-wide.[6] Trends like AI copilots for analysts and multimodal data (structured/unstructured) will shape its path, potentially expanding to agentic workflows where data teams "pair program" with AI. Its influence may grow by setting standards for collaborative, stack-agnostic BI, solidifying Mode's role from startup innovator to enterprise staple that clears the path from data to action.[1][2][6]

Sources

Frequently Asked Questions

How much funding has Mode Analytics raised?

Mode Analytics has raised $35.5M in total across 3 funding rounds.

Who are Mode Analytics's investors?

Mode Analytics's investors include Adverb Ventures, Ascension Ventures, Bain Capital Ventures, BlueRun Ventures, Flucas Ventures, Grotech Ventures, H.I.G. Capital, Jetstream, Trust Fund, Weekend Fund, Gautam Gupta, Jeremy Cai.