Founded Year

2012

Stage

Secondary Market | Alive

Total Raised

$334.34M

Last Raised

$1.33M | 2 yrs ago

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-45 points in the past 30 days

About Algolia

Algolia operates as an end-to-end AI search and discovery platform in the technology sector. The company offers a suite of search solutions that leverage natural language processing and vector search technology to deliver relevant search experiences across web, mobile, and voice-enabled devices. Algolia primarily serves sectors such as retail e-commerce, B2B e-commerce, marketplaces, media, and SaaS. It was founded in 2012 and is based in Palo Alto, California.

Headquarters Location

3790 El Camino Real Unit 518

Palo Alto, California, 94306,

United States

415-366-9672

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Algolia's Product Videos

ESPs containing Algolia

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Consumer & Retail / E-Commerce

The personalized e-commerce search & discovery market focuses on AI-powered solutions that enhance online shopping experiences through relevant product recommendations and intuitive search capabilities. These platforms use machine learning, visual recognition, and natural language processing to deliver personalized results based on user behavior and preferences. Key features include semantic searc…

Algolia named as Leader among 15 other companies, including Bloomreach, Elastic, and Coveo.

Algolia's Products & Differentiators

    Algolia Search

    Algolia Search is a fully-hosted, multi-tenant, hybrid search API, which can also be deployed as a single-tenant platform for larger clients. Algolia Search is the world's first and only API-First Search and Discovery platform with a hybrid search engine, which comprises both keyword and semantic search in a single API. This API platform is blazing fast, massively scalable, and, importantly, cost effective.

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Research containing Algolia

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Algolia in 5 CB Insights research briefs, most recently on Oct 17, 2024.

Expert Collections containing Algolia

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Algolia is included in 14 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,270 items

G

Grocery Retail Tech

831 items

Startups providing B2B solutions to grocery businesses to improve their store and omni-channel performance. Includes customer analytics platforms, in-store robots, predictive inventory management systems, online enablement for grocers and consumables retailers, and more.

A

AI 100

99 items

Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.

T

Tech IPO Pipeline

825 items

M

Market Research & Consumer Insights

734 items

This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.

C

Conference Exhibitors

5,302 items

Latest Algolia News

2025: The Year the AI Hype Drives Measurable, High Returns in Retail

Apr 2, 2025

Credit: Getty Images by Tero Vesalainen 2024 was the ultimate retail rollercoaster — and not the fun kind you find at a theme park. With rising and falling inflation, jobless claims and consumer sentiment, retailers had a lot to toss and turn about last year. As we venture further into 2025, all eyes are on retailers. Will they adapt to shifting economic and consumer demands or call it quits? The answer: the savviest retailers aren’t backing down; they’re stepping up, arming themselves with sophisticated artificial intelligence tactics, and doubling down on what truly drives return on investment. Tactics topping the list for the best and brightest in retail this year? Hyperpersonalization and AI-powered decision-making for both back-end and consumer-facing applications. However, navigating the fine line between cutting-edge personalization and AI tools that deliver real value and chasing the latest shiny trend is no easy feat. Let’s break down what that balance should look like at a time when consumers are keeping a close eye on their wallets and personal data. AI Personalization as the Ultimate Personal Shopper As humans, we crave to be known, and retailers that understand this will keep customers coming back. Luckily, most retailers now know that personalization is an expectation, not a perk. In fact, 70 percent of B2C retailers say personalization is essential to their e-commerce strategy. In the era of hyperpersonalization, retailers deploy AI-driven insights across every step of the shopper journey (and the back-end logistics) and ensure the data behind the technology is detailed and easily accessible for the tools. The AI powering these personalization tools can quickly identify user preferences and behaviors at a granular level, then leverage these meaningful insights to offer tailored content, custom recommendations, and personalized results. These capabilities are rewarding for all, driving increased conversions and customer loyalty for retailers and immersive shopping experiences for consumers. The AI That’s Winning Over Both Retailers and Shoppers Consumers have high hopes for AI-driven tactics, too. The hard numbers on how eager consumers are to welcome AI into their day-to-day shopping? According to a recent consumer survey by Algolia, well over half of consumers (59 percent) think the wider adoption of AI by online retailers will create better shopping experiences. American consumers and retailers also bet on the same kind of AI to supercharge shopping. You're right on the money if you guessed generative AI (GenAI). Yet, retailers must take a pragmatic approach when adding GenAI to their tech stacks. So, how do forward-thinking retailers approach GenAI? Many are leveraging it to create dynamic, real-time shopping guides that offer curated product collections based on consumer tastes and preferences. Consumers are thrilled about GenAI solutions, too, with 40 percent saying they're interested in using GenAI-powered reviews that summarize products' pros and cons. How could they not welcome this breakthrough advancement? For shoppers, AI-powered product reviews mean that the days of endless scrolling are over. Instead, they have an intelligent personal shopper to guide them to the right product when they need it most. AI Trust Tops the CX Agenda This Year Retailers grapple with a massive AI and personalization challenge: these solutions will fall flat without trust. And consumer trust in businesses is anything but steady. Consumers aren’t naive; they're aware that, at times, organizations don’t treat their data with the meticulous care they should. Most consumers can point to a time a targeted ad popped up and they said, “Hey, how did they know I was talking about needing this incredibly specific product?” That’s probably why 58 percent of consumers told Algolia they had found a retailer’s personalized recommendation creepy at least once. Because of data privacy jitters, big AI providers increasingly prioritize data protection, making it easier to use the platforms without concern. Beyond data safety, AI has graduated to delivering significantly more accurate results this year, meaning retailers no longer have to always fact-check the work extensively. However, consumers don’t automatically know all the behind-the-scenes steps retailers and tech vendors have taken to ensure consumer data is safe and that AI-driven results are accurate and personalized. Yet, shoppers will play the AI personalization game if retailers show all their cards. An Algolia survey finds that 58 percent of consumers would share their data and browsing activity with a retailer if they could certify the business will leverage their information to tailor and improve their shopping experiences. There's an easy way for retailers to be completely transparent when using AI-driven personalization: zero-party data. This emerging solution empowers users to opt in or out of personalized results, choose what preferences they would like to disclose, and share feedback in real time on the relevance of products offered to them. Translation? Zero-party data ensures a transparent experience where consumers have more control over their shopping experiences, ensuring their needs are met and their privacy isn’t compromised. The AI-Driven Road Ahead Last year, retailers experimented with AI, exploring its potential like a shiny new gadget. It’s now time to move beyond testing and apply what works to drive measurable ROI. Success will come from investing in AI partners and strategies that take customer trust and experience to the next level. Piyush Patel is chief ecosystem officer at  Algolia , a leader in globally scalable, secure, digital search and discovery experiences that are ultrafast and reliable.

Algolia Frequently Asked Questions (FAQ)

  • When was Algolia founded?

    Algolia was founded in 2012.

  • Where is Algolia's headquarters?

    Algolia's headquarters is located at 3790 El Camino Real, Palo Alto.

  • What is Algolia's latest funding round?

    Algolia's latest funding round is Secondary Market.

  • How much did Algolia raise?

    Algolia raised a total of $334.34M.

  • Who are the investors of Algolia?

    Investors of Algolia include Karmel Capital, Aglae Ventures, Accel, Salesforce Ventures, Lone Pine Capital and 26 more.

  • Who are Algolia's competitors?

    Competitors of Algolia include Vantage Discovery, GroupBy, Athos Commerce, Syte, Sinequa and 7 more.

  • What products does Algolia offer?

    Algolia's products include Algolia Search and 1 more.

  • Who are Algolia's customers?

    Customers of Algolia include Decathlon , Swedol, PlayPilot, Gymshark and Walgreens.

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