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    3. Vespa.ai AS

    Vespa.ai AS

    Trondheim, NorwayFounded 2023
    1Tools Listed

    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.

    WebsiteView ToolsView Discussions

    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.

    Discussions

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    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.

    Business Model

    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

    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.

    1 AI Tool by Vespa.ai AS

    Vespa.ai tool icon

    Vespa.ai

    New19h
    Vector Databases

    An AI Search Platform for building large-scale applications combining vector search, text search, machine-learned ranking, and real-time inference at enterprise scale.

    Vespa.ai

    Quick Facts

    Headquarters
    Trondheim, Norway
    Founded
    2023
    Entity Type
    AS
    Employees
    68
    Investors
    Blossom Capital, Yahoo
    Office Locations
    Trondheim

    Latest News

    2024-02-13

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

    Vespa.ai Press
    2024

    Vespa.ai Joins AWS ISV Accelerate Program

    Vespa.ai Press
    2024

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

    Vespa.ai Press

    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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