Full-Time
Updated on 9/4/2026
SaaS hosted search API provider
$296k - $320k/yr
Remote in USA
Remote
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Algolia provides hosted search and discovery APIs as a software-as-a-service. It helps businesses build fast and relevant search experiences on their websites or apps by offering a managed API for indexing and querying data, as well as features like recommendations. Developers and product teams integrate Algolia’s API into their sites or apps; Algolia handles the infrastructure, scaling, and maintenance so customers don’t need to run their own search servers. The company differentiates itself through a ready-to-use, cloud-hosted search solution with strong documentation and support that makes it easy to implement and optimize search without building from scratch. Its goal is to help businesses deliver efficient, tailored search experiences at scale, improving user experience and conversion across industries such as e-commerce and media.
Company Size
501-1,000
Company Stage
Series D
Total Funding
$333.9M
Headquarters
Palo Alto, California
Founded
2012
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Flexible Work Hours
Remote Work Options
Algolia named to Inc. 5000 for ninth consecutive year. Nine straight years among America's fastest-growing private companies as Algolia expands from search into the retrieval layer for AI applications and agents August 25, 2026 SAN FRANCISCO, August 25, 2026 - Algolia, the AI Search and Retrieval platform, today announced its inclusion in the 2026 Inc. 5000 list of America's fastest-growing private companies. The ranking, based on revenue growth from 2022 to 2025, recognizes independent businesses that have grown through sustained economic and technological change. Algolia orchestrates more than 1.75 trillion queries a year for over 18,000 businesses and millions of developers worldwide. John Stewart, Vice president, Corporate Communications, Brand and Web at Algolia, said: "Sustained growth doesn't come from chasing every technology shift. It comes from understanding where customers are headed and building what gets them there faster. Nine years on this list means we've done that through several platform shifts, and AI is the biggest one yet." This recognition tracks Algolia's expansion beyond traditional search into retrieval infrastructure for AI applications and agents. In 2026, Algolia launched Agent Studio, which helps businesses build, test, and deploy AI agents, and continued to extend its AI Search and Retrieval platforms. Algolia's 2026 recognition also includes a third consecutive year in the Gartner(R) Magic Quadrant(TM) for Search and Product Discovery, TrustRadius Top Rated and Buyer's Choice awards in Enterprise Search, and a place in G2's Best Software Top 50 Commerce Products. Inc. 5000 List Methodology Companies on the 2026 Inc. 5000 are ranked according to percentage revenue growth from 2022 to 2025. To qualify, companies must have been founded and generating revenue by March 31, 2022. They must be U.S.-based, privately held, for-profit, and independent - not subsidiaries or divisions of other companies - as of December 31, 2025. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2022 is $100,000; the minimum for 2025 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. For the full Inc. 5000 list, honoree company profiles, and a searchable database by industry and location, visit: www.inc.com/inc5000 About Algolia Algolia is the leading AI Search and Retrieval platform, powering 1.75 trillion searches a year for more than 18,000 businesses. With a unified keyword and vector search and retrieval engine, Algolia delivers the world's fastest and most scalable search and discovery technology. Companies rely on Algolia to build agentic, generative, and search experiences through tools like Agent Studio. With over a decade of innovation, Algolia is redefining retrieval-powered applications and the future of AI discovery. Learn more at www.algolia.com.
Optimizing headless commerce search: Algolia integration with Next.js and incremental. In today's fast-paced digital landscape, e-commerce businesses are constantly seeking ways to enhance the customer experience and drive conversions. A critical component of this experience is the site search functionality. Slow, inaccurate, or irrelevant search results can lead to frustrated customers and lost sales. This is where a robust search solution like Algolia, combined with a modern framework like Next.js and a strategic adoption approach, becomes invaluable. SoftCrafter, a leading software agency specializing in e-commerce, web, and mobile solutions, leverages these technologies to build high-performing digital platforms for its clients. Headless commerce architectures offer unparalleled flexibility, decoupling the front-end presentation layer from the back-end commerce engine. This separation allows for more dynamic and personalized user experiences. However, integrating a powerful search engine into such an architecture requires careful planning. Algolia, a leading search-as-a-service platform, excels at providing lightning-fast, highly relevant, and feature-rich search capabilities. When paired with Next.js, a popular React framework for building server-rendered and statically generated web applications, the synergy creates a potent combination for modern e-commerce. The benefits of integrating Algolia with a Next.js headless commerce setup are numerous. Firstly, Algolia's advanced search algorithms, including typo tolerance, synonym handling, and relevance tuning, ensure that users find what they're looking for, even with imperfect queries. Secondly, its speed is exceptional, delivering near-instantaneous results that keep users engaged. Next.js, with its server-side rendering (SSR) and static site generation (SSG) capabilities, ensures that search results are not only fast but also SEO-friendly, improving discoverability. SoftCrafter, with its deep expertise in e-commerce solutions and web development, understands the nuances of such integrations. Their team, including specialists like Toprak Razgatlıoğlu, is adept at architecting and implementing these sophisticated solutions. Whether you're building a new e-commerce platform or looking to optimize an existing one, SoftCrafter's e-commerce services can guide you through the process. They offer comprehensive web development and mobile development services, ensuring a seamless and effective integration. For businesses that are new to headless commerce or sophisticated search solutions, an incremental adoption strategy is often the most effective. Instead of a complete overhaul, start by integrating Algolia for a specific, high-impact area, such as product search. This allows teams to learn, iterate, and demonstrate value before scaling the implementation. SoftCrafter's approach to corporate services emphasizes strategic planning and phased execution, ensuring that technology adoption aligns with business objectives. The integration process typically involves: * Indexing your product data: Algolia needs access to your product catalog. This is usually achieved by pushing data from your e-commerce backend to Algolia's API. * Implementing the search UI in Next.js: Using Algolia's React InstantSearch library, you can quickly build a rich and interactive search experience within your Next.js application. This includes features like search bars, filters, faceting, and displayed results. * Configuring search parameters: Fine-tuning Algolia's settings for relevance, typos, and synonyms is crucial for optimal performance. * Handling incremental updates: As your product catalog changes, you'll need a mechanism to update Algolia's index efficiently. This can be done through webhooks or scheduled jobs. SoftCrafter's partnerships with leading technology providers, including those in the search and e-commerce space, ensure they can offer the best-in-class solutions. Their commitment to understanding your unique business needs, as detailed on their About Us page, allows them to tailor strategies that maximize ROI. Adopting Algolia with Next.js for your headless commerce search is not just about improving a single feature; it's about investing in a faster, more intelligent, and more user-centric e-commerce experience. This leads to higher conversion rates, improved customer satisfaction, and a stronger competitive edge. If you're ready to elevate your e-commerce search capabilities, reaching out to SoftCrafter through their Contact page is the first step towards a successful implementation. #HeadlessCommerce #Algolia #Nextjs #Ecommerce #SearchOptimization #WebDevelopment #SoftwareAgency #SoftCrafter #DigitalTransformation #IncrementalAdoption Last Update: August 6, 2026
AI-Powered website search for ADEPT. 29 July 2026 Unlocking hidden knowledge across websites and document libraries. The challenge. ADEPT asked Cosmic to rethink how users search their website. Their Drupal site already held a wealth of information, but much of their most valuable content lived in a large library of PDF documents. Traditional search tools struggle to surface insights from these documents, making it difficult for users to find clear answers quickly. The brief was to create a smarter, AI-powered search experience that could: * Pull together information from across the website and PDFs * Understand natural language questions * Provide clear, concise answers rather than just lists of links Its approach. Cosmic designed a solution that combines powerful search technology with AI, allowing users to ask questions in plain English and receive meaningful responses. Rather than trying to force this into traditional website hosting, Cosmic recognised early that AI search requires a different technical approach. This meant building a flexible, cloud-based solution using best-in-class tools. Choosing the right technology. * Search platform: Cosmic selected Algolia, a proven and highly scalable search platform used by major documentation and content-heavy websites. * AI model: Cosmic integrated Google Gemini, chosen for its strong performance, safety standards, and alignment with ethical AI principles. This combination gave Cosmic a robust foundation for both fast search and high-quality AI responses. How it works (in plain English). At the heart of the system is a search index - a structured database that stores all the content from the website and documents in a way that can be quickly searched. When a user asks a question: * The AI interprets the question and identifies what the user is really looking for * The system searches the index for the most relevant content * The AI reads those results and generates a clear, human-friendly answer Cosmic can also tailor the tone of voice, so responses reflect ADEPT's style and audience. Bringing website and PDF content together. A key part of this project was making sure both web pages and PDFs could be searched equally well. Website content. Instead of relying on a basic crawler, Cosmic integrated directly with Drupal. This gave Cosmic greater control over how content is structured and indexed, improving the accuracy and relevance of results. PDF library. PDFs posed a bigger challenge, as search engines can't easily interpret them in their original format. To solve this, Cosmic: * Used Adobe PDF Services to extract structured text (including headings and lists) * Converted documents into a format optimised for search * Processed large volumes of files efficiently using cloud-based tools This means users can now discover insights hidden within long reports and documents just as easily as web pages. Built for reliability and scale. Behind the scenes, Cosmic implemented a queue-based system in Drupal to manage content processing and updates. This approach allows the system to: * Handle updates automatically when content changes * Retry tasks if something fails (e.g. temporary API issues) * Run processing in the background without affecting website performance Because ADEPT's platform is built on Drupal 11 (using the Symfony framework), Cosmic were also able to create a clean, modular architecture that supports automated testing and long-term maintainability. Front-End experience. On the user side, Cosmic focused on creating a simple, intuitive experience. Cosmic adapted modern UI components to integrate seamlessly with ADEPT's existing design, ensuring the AI search tool feels like a natural part of the website. The result is a clean interface where users can: * Ask questions conversationally * Receive instant, summarised answers * Explore supporting content if needed The result. The new AI-powered search transforms how users interact with ADEPT's content. Instead of hunting through pages and documents, users can now: * Get quick, clear answers to complex questions * Access insights from across the entire content ecosystem * Discover valuable information that was previously hard to find For ADEPT, this means: * Better engagement with their audience * Increased visibility of their knowledge and research * A more accessible and user-friendly website What this means for other organisations? Many organisations have valuable content spread across websites, PDFs, and reports - but struggle to make it accessible. This project shows how AI-powered search can unlock that content and turn it into a usable, engaging resource. At Cosmic, Cosmic bring together: * Deep experience with CMS platforms like Drupal and WordPress * Strong understanding of accessibility and user needs * Practical, ethical use of AI technologies to deliver solutions that are not just technically impressive, but genuinely useful.
Algolia brings Agentic Commerce to the modern storefront, giving retailers AI shopping experiences built on trusted product data. New Agent Studio capabilities help commerce teams ground AI agents in trusted product data, apply guardrails and cost controls, and bring guided discovery into high-intent shopper journeys. July 28, 2026 SAN FRANCISCO, CA - July 28, 2026 - Algolia, the AI Search and Retrieval platform orchestrating more than 1.75 trillion queries each year, trusted by over 18,000 businesses and used by millions of developers worldwide, today announced significant enhancements to Agent Studio, its application for accelerating the creation and optimization of AI agents and onsite agentic commerce experiences. AI is transforming how consumers shop. Instead of navigating filters and product grids, shoppers increasingly expect to be able to take advantage of generative experiences that can answer complex questions, compare products, provide personalized recommendations & inspire confidence in every purchase. But generic LLMs are not built for commerce. They do not inherently understand the pace of change of catalogs, inventory, pricing, merchandising logic, compatibility requirements, or the business rules that determine what should be shown, recommended, or suppressed. Algolia's Agent Studio closes this gap by acting as the intelligent layer for agentic commerce, connecting AI-powered shopping experiences to multiple, different data including blog content, customer reviews, shoppers' context, business rules, merchandising logic, and relevance signals retailers depend on. Rather than treating AI as a standalone assistant, Agent Studio enables retailers to deploy governed AI conversational experiences that consistently guide shoppers toward the right products while protecting brand standards & maximizing commercial performance, from the search bar and product detail pages to guided selling, recommendations, comparisons, fitment, reviews, and other customer touchpoints. Stephen Lynch, Chief Executive Officer, Algolia, said: "Retailers want to effortlessly deploy AI shopping experiences that understand their products, answers questions accurately, make relevant recommendations, and help their customers buy with confidence. Agent Studio gives retailers the trusted foundation, governance, and control to bring AI into every shopping journey, while also ensuring every experience remains accurate, relevant, and aligned with their business." Useful AI shopping experiences require more than a conversational interface. They need accurate product data, reviews, attributes, inventory, pricing, and merchandising logic. Algolia helps transform these inputs into a high-performing index optimized for intelligent retrieval, giving AI experiences the foundation they need to respond with speed, precision, and confidence. The latest Agent Studio enhancements focus on three priorities for retailers bringing agentic commerce to the storefront: * Production-ready AI * Better shopping experiences * A faster path to launch. Production AI for live retail environments Agent Studio gives retailers confidence in how AI agents behave in live shopping environments, with guardrails, cost controls, and governance settings that can be configured for each agent. These capabilities help retailers protect against unsafe inputs, unsafe outputs, misuse, and runaway LLM costs, while setting clear boundaries for where and how agents operate. Custom guardrails allow teams to define disallowed content categories, apply them to shopper inputs, agent outputs, or both, and configure fallback messages when content is blocked. Input guardrails evaluate shopper messages before they reach the LLM, while output guardrails review generated responses before they are shown to the shopper. Retailers can also configure global request limits, per-IP limits, maximum tokens per response, conversation-depth limits, maximum steps per completion for tool-using agents, and approved domains. Together, these controls help commerce teams manage cost, reduce abuse, and bring greater discipline to AI deployments before agents are exposed to shoppers. Heather Hershey, Senior Research Director, Digital Commerce & Agentic Commerce Strategies, IDC, noted: "Agentic commerce cannot scale on intelligence alone. Retailers need guardrails that make AI agents safe, governed, and economically manageable in live shopping environments. When teams can control what an agent can say, where it can operate, and how much it can consume, they can move faster from pilot projects to production experiences that shoppers actually trust." Better shopping experiences across the customer journey Agent Studio brings AI-powered product discovery directly into the shopping experiences customers are familiar with, beyond a chatbot they may be hesitant to use. Retailers can embed conversational AI across search, autocomplete, chat, and mobile, making it easier for shoppers to move seamlessly from keyword search to AI-guided discovery. Prompt suggestions help shoppers ask better questions and explore products more effectively, reducing friction at the start of the journey. Retailers can configure the underlying prompt, number of suggestions, and response behavior to align the experience with their brand voice, merchandising strategy, and customer needs. In the search bar, AI mode gives shoppers a clear bridge from traditional search into a conversational experience. As shoppers type, contextual prompt suggestions can appear and open the chat experience with the selected prompt already populated. AI mode and prompt suggestions are also supported on mobile, giving retailers a consistent way to bring conversational product discovery to the device many shoppers use first. Across desktop and mobile, these capabilities create a more intuitive shopping experience that helps customers compare options, discover relevant products faster, and buy with greater confidence. A faster path from pilot to storefront Agent Studio helps retail and merchandising teams move from AI pilots to live storefront experiences faster, with guided setup, configurable agent behavior, and implementation tools that make it easier to bring AI-powered product discovery into the customer journey. Retailers can rapidly build on the search, relevance, and merchandising work they already have in Algolia, rather than starting from scratch, helping teams launch more quickly while keeping AI experiences aligned with their catalog, brand standards, and business goals. The enhanced Agent Studio capabilities are available to Algolia customers with Guardrails and Cost Controls available today. Teams can configure the new capabilities in Agent Studio and use Algolia's implementation path to embed agentic discovery experiences into their ecommerce sites. About Algolia. Algolia is the leading AI Search and Retrieval platform, powering 1.75 trillion searches a year for more than 18,000 businesses. With a unified keyword and vector search and retrieval engine, Algolia delivers the world's fastest and most scalable search and discovery technology. Companies rely on Algolia to build agentic, generative, and search experiences through tools like Agent Studio. With over a decade of innovation, Algolia is redefining retrieval-powered applications and the future of AI discovery. Learn more at www.algolia.com.
Algolia has launched Dynamic Facets, a feature that automatically prioritises the most relevant product filters based on shopper behaviour and search context. Rather than displaying fixed filter options for every query, the system adapts in real time to help shoppers find products faster. The capability addresses a common e-commerce challenge where static filter panels become outdated as catalogues and customer behaviour evolve. Dynamic Facets uses AI to surface the most appropriate refinement options for each search, reducing manual merchandising work. Early results show click-through rates on specific filters improved by 10 to 15% in top-performing markets. The feature is available now for Algolia's customers, who include over 18,000 businesses generating 1.75 trillion queries annually.