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Synthetic Data with Real-World Speed & Global Breadth

Synthetic Data with Human DNA

Transform global news, macro events, and sentiment into training-ready data — built for LLM training, AI labs, model developers, and data science teams.

Features at a Glance

language
Languages

50+ Languages — Covering EM, frontier and major geographies.

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data
Financial Industry Lens

News, Data releases, prices coherently & contextually combined for meaningful AI training.

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Compliant
Synthetic & Compliant

No raw publisher text, fully paraphrased or generated.

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dataset
Training-Ready Format

JSON/Parquet, dataset cards, AWS ready.

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Domain-Expertise
Domain Expertise

Sources, news items, summaries built with financial practioner’s no how with human involvement.

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Use Cases

Benefits

Compliance & Provenance

No raw text stored or redistributed; all summaries are synthetic/human‑rewritten.

Robots.txt & ToS screening; red‑list domains excluded.

Audit metadata on every record (URL, timestamp, generation method).

GDPR‑aligned. ISO‑27001 infra. SOC 2 Type II hosting.

Data Schema & Sample

Schema

Fields: record_id, language, country, theme, synthetic_summary, sentiment_score, qa_pair.question, qa_pair.answer, generation_method, source_url, provenance_tag, timestamp.

Sample

record_id: 81fe9b8b-8247-41c7-bcdd-4fa6c55d9ff4
language: es
country: AR
theme: Inflation
synthetic_summary: Argentina’s central bank raised its policy rate to curb inflationary pressure.
sentiment_score: -0.42
qa_pair:
question: What policy action occurred?
answer: The central bank raised interest rates.
generation_method: LLM + human review
source_url: https://example.com/article123
provenance_tag: open_source

Pricing

Basic

Bulk

Enterprise