• Pages
01 introduction
02 timeline
03 profiles
04 case studies
05 Actindo
06 Akeneo
07 AKQA
08 Algolia
09 Amplience
10 Apply Digital
11 Appnovation
12 AWS
13 Big Commerce
14 Bloomreach
15 Bluestone PIM
16 Bold Commerce
17 Branding Brand
18 Builder.io
19 Capgemini
20 Cloudinary
21 Commerce Layer
22 commercetools
23 constructor.io
24 Contentful
25 Contentstack
26 Deloitte Digital
27 DEPT
28 Divante
29 Dynamic Yield
30 Emporix
31 Enactor
32 EPAM
33 Fluent Commerce
34 fulfillmentools
35 Formidable
36 Grid Dynamics
37 Hygraph
38 Intive
39 Kin + Carta
40 Klevu
41 Kontent.ai
42 KPS
43 Lab Digital
44 Mercaux
45 Mindcurv
46 MongoDB
47 Netlify
48 NewStore
49 Novicell
50 Object Edge
51 Octoo
52 Orium
53 Personify XP
54 Pivotree
55 Pipe 17
56 Publicis Sapient
57 ReachFive
58 Scaleflex
59 Sitoo
60 Storyblok
61 TA Digital
62 Talon.One
63 Tenovos
64 trbo
65 Uniform
66 Valtech
67 Vercel
68 Voucherify
69 Vue Storefront
70 Vultr
71 VTEX
72 Wunderman
73 XTM
74 YEXT
75 Zaelab
76 Case study: Alpro
77 Case study: Bang & Olufsen
78 case study: BASF
79 Case Study:Crate & Barrel
80 Case Study: Harrods
81 Case Study: Volkswagen
82 Case Study: Regal Cinemas
83 Case Study: Harry Rosen
84 Case Study: Icelandair Group
85 Case Study: PLLAY
86 Case Study: Puma
87 Case Study: NurseGrid

_ Algolia

CEO Bernadette Nixon

Category Certified Vendor

HQ San Francisco, CA, US

Employees 800

URL algolia.com

MACH-based, blazing fast search at massive scale: Algolia

Silicon Valley based start-up Algolia, is revolutionising search and discovery with its powerful API-first, search and discovery platform with its unique hybrid search engine, combining keyword and vector-based semantic search via NeuralSearch technology, in a single API.

Algolia empowers both builders and business users with a better way to build unique, engaging end user experiences at Internet scale to predict what customers want, and the best application browse experience leading to more remarkable discovery.

Using artificial intelligence (AI), Algolia’s Search and Recommend APIs simplify the ability to understand users’ intent to personalize experiences and offers — even from "first visit” and “first search.” This enables customers to discover goods, offers, and content so quickly, that they don’t go anywhere else.

Search and recommendations are more than simply a set of results. It’s the instant gratification that a customer gets from being understood, as the product that they seek is surfaced in milliseconds, generating the maximum yield from any interaction.


Algolia powers 1.5 trillion such searches a year and is used by one in six online users, everyday – putting this in context, that’s bigger than Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.

As the first Search & Discovery platform to join the MACH Alliance in June 2020, Algolia is fully aligned with the mission to "Future proof enterprise technology and propel current and future digital experiences." With more than 17,000 customers, Algolia has worked with many MACH members to bring the best composable experiences to life including 2022 MACH Award recipients Harry Rosen, selfologi, and Embonor.

There have never been more ways to interact with an application through multiple digital touch points – the web, mobile, connected devices, and more.

This API-first approach allows a business to deliver apps that not only operate in any channel, but can scale as more channels are added without having to create new solutions for each of those avenues. Over the next 12-18 months, Algolia will continue to collaborate with Alliance members, offering combined solutions and packaging to make it easier for customers to choose and implement composable business.

For further details on MACH at Algolia, please email the team


MACH Alliance partnerships

Amplience, commercetools, Contentstack, Dynamic Yield, Akeneo, Contentful, Bold, Vue Storefront, Fluent Commerce, VTEX, BigCommerce, KPS, Publicis Sapient, Capgemini, E2X, EPAM, McFayden Digital, Orium, Grid Dynamics, AKQA, Divante, Appnovation, Nacelle, Zaelab, Fabric, Valtech

Company profiles
Introduction
Back to top

Classification: Search & product discovery Personalisation