Bixel

Vespa

Vespa.ai AS·Vespa.ai
Limited coverage

Vespa's site sits behind a bot-verification wall that Bixel does not evade. Coverage is limited to signals observable off-site (job postings, DNS, subdomain surfaces) until BixelBot's verified-bot admission clears.

Company Overview

As of July 21, 2026: Vespa.ai is an AI search platform for developers that has raised $31M in a single Series A led by Blossom Capital in 2023.

The platform states 12 capabilities spanning hybrid search, RAG, vector search, machine-learned ranking, and AI agents, with 2 listed integrations, a narrow integration surface that developers should weigh against their existing stack. The homepage headline "We Make AI Work" frames the product squarely at builders running large-scale, real-time inference workloads.

High confidence · 32 dated facts
Corroborated across 6 dimensions of the record.
integrations
2
Jul 2026
technologies
7
observed
dated changes
56
Jul 2026
The record, by dimensionevery dimension is its own page →
FeaturesHigh confidence · 14 dated facts
Corroborated across multiple dated, sourced facts.
Hybrid search platform
12 stated capabilities cover the core AI search stack, hybrid search, RAG, vector search, and AI agents among them, but only 2 integrations are listed, so teams relying on third-party tooling will need to assess connector gaps before committing.
Full features read →
Stack
7 detected
7 technologies detected on the live site including Vue.js, Cloudflare, Google Analytics, and Google Tag Manager; the frontend and CDN choices are conventional, and nothing observed here raises a technical concern for a developer evaluating the product.
High confidence · 7 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Positioning
AI Search Platform
The homepage leads with "We Make AI Work" and explicitly names big data, vector search, machine-learned ranking, and real-time inference as the core use case, so the product is aimed at developers building production-scale search, not casual prototypers.
High confidence · 4 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Funding
$31M raised
A single Series A of $31M, closed November 2023 and led by Blossom Capital, is the entire disclosed funding history; there is no follow-on round on record, which matters if a buyer is assessing vendor longevity over a multi-year contract.
High confidence · 4 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Location
Trondheim, NO
Headquartered in Trondheim, Norway; work model is not stated publicly, so buyers with data-residency requirements or support-hours expectations should ask directly.
Medium confidence · 1 dated fact
Grounded in a smaller fact set; directionally reliable.Full read →
Legal
Vespa.ai AS
The registered entity is Vespa.ai AS; incorporation jurisdiction, governing law, arbitration terms, class-action waiver, and auto-renewal policy are all unstated, meaning enterprise procurement teams will be working from a thin legal baseline and should expect to negotiate terms from scratch.
Medium confidence · 1 dated fact
Grounded in a smaller fact set; directionally reliable.Full read →
Change History56 dated events on the record
Technology added: Bootstrap
Feature removed: Ml Inference · high significance
Feature removed: Structured Search · high significance
Technology removed: Wordpress · high significance
Positioning changed: Alternatives · high significance
Feature removed: RAG · high significance
Feature removed: Real Time Updates · high significance
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/vespa.ai

{
  "data": {
    "company": {
      "name": "Vespa",
      "domain": "vespa.ai",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "stack": {
        "facts": [
          {
            "key": "stack.tech.vuejs",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-06-29",
            "source_url": "vespa.ai"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "vespa.ai" })

# returns the whole record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.
How Bixel reads this

Every read above is derived from public signals, each sourced and dated, and kept honest about provenance: what the company states on its own pages and job posts (pricing, security, careers, positioning, its backend stack) versus what Bixel independently detects (technologies, infrastructure). Where a stated claim is also detected we mark it verified; where we only have the claim, we say so. Bixel infers posture: how it monetizes, how mature it is, where it's heading. It does notclaim private financials it can't observe. Where signals are thin, the confidence says so.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.