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 September 3, 2026: Vespa.ai is an AI search platform built for developers that has raised $31M in a single Series A led by Blossom Capital in 2023.

The platform combines hybrid search, vector search, machine-learned ranking, and real-time inference in one stack, targeting teams building large-scale AI applications. Nine stated capabilities and at least one integration are listed; no independent capability audit was available to verify performance claims.

Backed by 27 dated facts
Drawn from 6 dimensions of the record, each dated and sourced.
integrations
1
Aug 2026
technologies
7
observed
dated changes
57
Aug 2026
The record, by dimensionevery dimension is its own page →
FeaturesBacked by 10 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Hybrid search platform
Nine stated capabilities span hybrid search and RAG, with one listed integration; the breadth covers a full search-to-inference pipeline on paper, but buyers should test the integration surface against their own stack before committing.
Full features read →
Stack
7 detected
Seven technologies detected on the live site include Bootstrap, Cloudflare, Google Analytics, and Google Tag Manager; nothing observed here speaks to the production infrastructure Vespa runs for customers.
Backed by 7 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.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; the developer framing means enterprise procurement teams are not the primary audience.
Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.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, so runway assumptions rest on one data point.
Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Location
Trondheim, NO
Headquartered in Trondheim, Norway as Vespa.ai AS; work model is not stated publicly, which matters for buyers who need on-site support or specific data-residency arrangements.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.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, so legal review will need to surface these before any contract is signed.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Change History57 dated events on the record
Security signal removed: GDPR · high significance
Technology added: Bootstrap
Positioning changed: Alternatives · high significance
Feature removed: Ml Inference · high significance
Feature removed: Real Time Updates · high significance
Feature removed: RAG · high significance
Feature removed: Structured Search · 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.bootstrap",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-08-11",
            "source_url": "blog.vespa.ai/announcing-our-series-a-funding/"
          }
        ]
      },
      "…": "…"
    }
  }
}
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 record says so.

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