Verified claim · AI-ML · 100% confidence
Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 805ca20c03f0797e
Structured fields
- Subject
- Exa
- Predicate
founded_in- Object
- 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval
- Confidence
- 100%
- Tags
- exa · metaphor · ai-search · embedding-search · company-history · founded_in · 2021
Sources (2)
[1] official blog · Exa · 2024-03-20
Welcome to Exa — formerly Metaphor“Exa (formerly Metaphor) is an AI-native search engine that uses embeddings to find content that matches the meaning of your query, not just keywords. Founded by Will Bryk and Jeff Wang in 2021.”
[2] docs · Exa · 2021-06-01
Exa — official site
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval. — SourceScore Claim 805ca20c03f0797e (verified 2026-05-16). https://sourcescore.org/api/v1/claims/805ca20c03f0797e.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/805ca20c03f0797e/" width="100%" height="360" frameborder="0" loading="lazy" title="Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval."></iframe>Preview: open in new tab
Related claims
Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.
Character AI founded in: 2021 by Noam Shazeer + Daniel De Freitas (former Google LaMDA team) — consumer chatbot platform.
7b392a8d3332896f · 100% confidence · shares 3 tags (company-history, founded_in, 2021)
Inflection AI founded in: 2022 by Mustafa Suleyman, Reid Hoffman, Karén Simonyan — consumer-AI company; creator of Pi assistant.
981662c18b08c628 · 100% confidence · shares 2 tags (company-history, founded_in)
Langfuse founded in: 2022 by Marc Klingen + Max Deichmann + Clemens Rawert — open-source LLM observability + tracing platform.
e10249c02a470237 · 100% confidence · shares 2 tags (company-history, founded_in)
Vellum AI founded in: 2023 by Akash Sharma + Sidd Seethepalli + Noa Flaherty — LLM application development platform (YC W23).
bc80872c632bf77e · 100% confidence · shares 2 tags (company-history, founded_in)
Helicone founded in: 2022 by Justin Torre + Cole Gottdank + Scott Nguyen — open-source LLM observability + analytics (YC W23).
a3fec2abf9eaadd8 · 100% confidence · shares 2 tags (company-history, founded_in)
Frequently asked questions
Is the claim "Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval."?
Evidence comes from 2 primary sources: Exa, Exa. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/805ca20c03f0797e.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_exa_fact() -> dict:
"""Fetch the verified SourceScore claim for Exa."""
r = httpx.get("https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json")
return r.json()