Verified claim · AI-ML · 95% confidence
Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output.
Last verified 2026-05-16 · Methodology veritas-v0.1 · f33bc9a6d1e921ad
Structured fields
- Subject
- Recraft
- Predicate
founded_in- Object
- 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output
- Confidence
- 95%
- Tags
- recraft · dorogush · text-to-image · design-tool · company-history · founded_in · 2022
Sources (2)
[1] docs · Recraft · 2022-09-01
About Recraft“Recraft is an AI image generation platform founded in 2022 by Anna Veronika Dorogush, specializing in brand-style-consistent vector + raster + 3D image generation for designers.”
[2] docs · Recraft · 2022-09-01
Recraft — official site
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output. — SourceScore Claim f33bc9a6d1e921ad (verified 2026-05-16). https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.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.
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Frequently asked questions
Is the claim "Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output." 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 "Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output."?
Evidence comes from 2 primary sources: Recraft, Recraft. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.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/f33bc9a6d1e921ad.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/f33bc9a6d1e921ad.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_recraft_fact() -> dict:
"""Fetch the verified SourceScore claim for Recraft."""
r = httpx.get("https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.json")
return r.json()