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    3. Vespa.ai AS

    Vespa.ai AS

    Vespa.ai provides an AI search platform designed for developing and operating large-scale applications that integrate big data, vector search, and machine-learned ranking.

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    At a Glance

    1Tool Listed
    2Products
    22Tool Views
    6Capabilities
    Discussions
    Trondheim, NorwayHeadquarters
    2023Est.
    68Employees
    $31MRaised
    Focus Areas
    Vector Databases
    Retrieval-Augmented Generation
    Search and Discovery
    Connect
    Latest News
    GigaOm Radar for Vector Databases v3 Positions Vespa.ai as a Leader and OutperformerFeb 13, 2024
    Vespa.ai Joins AWS ISV Accelerate ProgramJan 1, 2024
    Markets
    • Enterprise
    • Fortune 500
    • Financial Services
    • Health & Life Sciences
    • +1 more

    AI Tools by Vespa.ai AS

    (1)
    View Vespa.ai
    Vespa.ai tool icon

    Vespa.ai

    AI Search and Ranking Platform

    Vector DatabasesRAGSearch & Discovery

    Discussions

    No discussions yet

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    Latest News

    02/13/2024

    GigaOm Radar for Vector Databases v3 Positions Vespa.ai as a Leader and Outperformer

    Vespa.ai Press
    01/01/2024

    Vespa.ai Joins AWS ISV Accelerate Program

    Vespa.ai Press
    01/01/2024

    Perplexity Partners with Vespa.ai to Bring its Search Function In-House

    Vespa.ai Press
    01/01/2024

    Vespa.ai Launches The RAG Blueprint to Accelerate Scalable, Accurate Generative AI

    Vespa.ai Press

    Products & Services

    2
    Vespa Cloud
    2023

    A fully managed service for running Vespa applications, offering various plans from Startup to Enterprise.

    Vespa.ai (Open Source)
    2017

    The core AI search platform for large-scale applications integrating big data, vector search, and ML ranking.

    Market Position

    Positioned as a high-performance, cost-effective alternative to Elasticsearch, offering up to 5x infrastructure cost savings and superior scaling for AI-driven search.

    Leadership

    Founders

    JB

    Jon Bratseth

    Founder & CEO. Architect and main contributor to Vespa. Over 20 years of experience as an architect and programmer on large distributed systems, previously VP Architect at Yahoo.

    KO

    Kim O. Johansen

    Founder & COO. Over 20 years of experience as a manager for the development of large distributed systems.

    FL

    Frode Lundgren

    Founder & CTO. Over 20 years of experience managing teams and products using and operating large-scale Vespa applications.

    KA

    Kristian Aune

    Founder & Head of Customer Success. Over 20 years working with Vespa application owners, developers, PMs, and Ops; focused on operations, cost, and service quality.

    Executive Team

    JB

    Jon Bratseth

    CEO

    20+ years experience in distributed systems; Vespa architect.

    KO

    Kim O. Johansen

    COO

    20+ years experience in distributed systems management.

    Board of Directors

    AL
    Alex Lim
    Board Member (Managing Partner at Blossom Capital)

    Founding Story

    Vespa began as an internal project at Yahoo to solve search, recommendation, and ad-serving use cases. It was open-sourced in 2017. In October 2023, Yahoo spun Vespa out as an independent company, Vespa.ai, while retaining a stake.

    Business Model

    Revenue
    Estimated at $1.5M - $6.1M (Reported figures vary by source).

    Revenue Model

    Resource-based usage model for Vespa Cloud (SaaS) and support/licensing for self-managed deployments.

    Pricing Tiers

    Startup Plan
    Variable

    Shared resources, community support, dev-zone only. vCPU: $0.05/hr, Memory: $0.005/GB/hr.

    Basic Plan
    Variable

    Suitable for non-24/7 apps; production support next business day. vCPU: $0.09/hr, Memory: $0.009/GB/hr.

    Commercial Plan
    Variable

    24/7 production support with 1-hour response. vCPU: $0.15/hr, Memory: $0.015/GB/hr.

    Enterprise Plan
    Min $20,000/month

    24/7 15-min response, SSO, named support rep, dedicated Slack. vCPU: $0.18/hr, Memory: $0.018/GB/hr.

    Self Managed
    Contact Sales

    Customer runs Vespa with expert support from Vespa.ai.

    Private

    Target Markets

    Industries & Segments
    • Enterprise
    • Fortune 500
    • Financial Services
    • Health & Life Sciences
    • Tech Startups
    Use Cases
    • E-commerce search and recommendation
    • Personalization systems
    • Fraud detection
    • Financial research and intelligence
    • Health and life sciences data discovery
    • Generative AI / RAG applications
    Notable Customers
    • Spotify
    • Yahoo
    • Perplexity
    • RavenPack

    Quick Facts

    Headquarters
    Trondheim, Norway
    Founded
    2023
    Entity Type
    AS
    Employees
    68
    Total Funding
    $31 million
    Investors
    Blossom Capital, Yahoo
    Office Locations
    Trondheim

    Funding History

    Series A$31,000,000
    2023-11-01
    Blossom Capital

    History & Milestones

    2024-02

    Positioned as a Leader and Outperformer in GigaOm Radar for Vector Databases.

    2024

    Launched 'The RAG Blueprint' to accelerate scalable generative AI applications.

    2024

    Launched the Vespa Partner Program with Deepsense.ai as the inaugural partner.

    2023-10-04

    Vespa.ai spun out of Yahoo as an independent company.

    2023-11-01

    Raised $31 million Series A funding from Blossom Capital.

    Key Capabilities

    6
    Integrated lexical, hybrid, and vector search
    Scalable machine-learned ranking
    Retrieval-Augmented Generation (RAG) support
    Real-time indexing and updates
    Multimodal search capabilities
    Low-latency serving at scale (billions of documents)

    Integrations & Partnerships

    Platform Integrations

    • AWS Marketplace
    • LangChain
    • OpenAI
    • NVIDIA AI

    Key Partnerships

    AWS
    OpenAI
    NVIDIA

    Connect

    Website
    vespa.ai
    GitHub
    vespa-engine
    X / Twitter
    vespaengine
    LinkedIn
    vespa-ai
    YouTube
    UCVXw_f6UHff8-V9FA1LMIiw

    AI Topics

    3

    Vespa.ai AS focuses on these topics:

    Vector Databases(1)
    Retrieval-Augmented Generation(1)
    Search and Discovery(1)
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