Verified claim · AI-ML · 95% confidence
Voyage AI embeddings founded in: 2023 — embedding-model-specialist company.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 688dd4afb20004d9
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
Related verified claims
More verified claims related to this one — keep exploring.
Mistral AI founded in: 2023.
100% confidence · shares 3 tags (company, founded, 2023)
xAI founded in: 2023.
95% confidence · shares 3 tags (company, founded, 2023)
Tavily founded in: 2023 — search API for AI agents.
95% confidence · shares 3 tags (company, founded, 2023)
Suno AI founded in: 2023 — AI music generation.
95% confidence · shares 3 tags (company, founded, 2023)
Anthropic founded in: 2021.
100% confidence · shares 2 tags (company, founded)
OpenAI founded in: 2015.
100% confidence · shares 2 tags (company, founded)
Hugging Face founded in: 2016.
100% confidence · shares 2 tags (company, founded)
Cerebras founded in: 2016 — wafer-scale AI chip company.
100% confidence · shares 2 tags (company, founded)
Structured fields
- Subject
- Voyage AI embeddings
- Predicate
founded_in- Object
- 2023 — embedding-model-specialist company
- Confidence
- 95%
- Tags
- voyage-ai · embeddings · company · founded · 2023
Sources (2)
[1] official blog · Voyage AI · 2023-10-29
Voyage AI launches embedding models“Today we are launching Voyage embeddings, the next-generation general-purpose embedding models trained from scratch by Voyage AI.”
[2] docs · Crunchbase · 2023-01-01
Voyage AI — Crunchbase company profile
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Voyage AI embeddings founded in: 2023 — embedding-model-specialist company. — SourceScore Claim 688dd4afb20004d9 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/688dd4afb20004d9.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the claim record + top cited source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/688dd4afb20004d9/" width="100%" height="360" frameborder="0" loading="lazy" title="Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."></iframe>Preview: open in new tab
Frequently asked questions
How has SourceScore reviewed the claim "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."?
SourceScore records this assertion with 95% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence below.
What is the evidence for "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."?
The record lists 2 cited source(s): Voyage AI, Crunchbase. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
When was this claim record last reviewed by SourceScore?
Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.
How can I cite this SourceScore claim in my code or article?
Fetch the JSON record from https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this record from your application. The response includes verbatim excerpts, primary-source URLs, and SourceScore-issued HMAC integrity metadata. Refetch the canonical HTTPS record and inspect cited evidence; public users cannot independently verify the HMAC tag.
cURL
curl https://sourcescore.org/api/v1/claims/688dd4afb20004d9.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_voyage_ai_embeddings_fact() -> dict:
"""Fetch the verified SourceScore claim for Voyage AI embeddings."""
r = httpx.get("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json")
return r.json()