Verified claim · AI-ML · 95% confidence
Fireworks AI founded in: 2022 — fast inference for open-source models.
Last verified 2026-05-16 · Methodology veritas-v0.1 · c47d097cc3bceaaa
Structured fields
- Subject
- Fireworks AI
- Predicate
founded_in- Object
- 2022 — fast inference for open-source models
- Confidence
- 95%
- Tags
- fireworks-ai · inference · company · founded · 2022
Sources (2)
[1] official blog · Fireworks AI · 2022-09-01
About Fireworks AI“Fireworks AI was founded in 2022 to enable developers to build fast, reliable, and customizable AI applications using the latest open-source models.”
[2] docs · Crunchbase · 2022-01-01
Fireworks AI — Crunchbase company profile
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Fireworks AI founded in: 2022 — fast inference for open-source models. — SourceScore Claim c47d097cc3bceaaa (verified 2026-05-16). https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.jsonEmbed this claim
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<iframe src="https://sourcescore.org/embed/claim/c47d097cc3bceaaa/" width="100%" height="360" frameborder="0" loading="lazy" title="Fireworks AI founded in: 2022 — fast inference for open-source models."></iframe>Preview: open in new tab
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Frequently asked questions
Is the claim "Fireworks AI founded in: 2022 — fast inference for open-source models." verified?
Yes — SourceScore verified this claim with 95% 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 "Fireworks AI founded in: 2022 — fast inference for open-source models."?
Evidence comes from 2 primary sources: Fireworks AI, Crunchbase. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.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/c47d097cc3bceaaa.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/c47d097cc3bceaaa.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Fireworks AI founded in: 2022 — fast inference for open-source models."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Fireworks AI founded in: 2022 — fast inference for open-source models."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_fireworks_ai_fact() -> dict:
"""Fetch the verified SourceScore claim for Fireworks AI."""
r = httpx.get("https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.json")
return r.json()