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AI

Arb Insights

Arb Insights provides a vertically integrated alternative data engine that supplies AI tools with exact, reproducible financial figures instead of model‑generated guesses. Its purpose‑built deterministic calculators compute growth, rankings, and KPI metrics on normalized data, then let any AI layer chart, aggregate, and analyze the results, ensuring investors receive auditable, hallucination‑free analytics.

Founded 20224100+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Investors and quantitative analysts often rely on AI language models that can fabricate (hallucinate) financial figures, leading to unreliable insights and costly decision errors. Existing alternative data sources lack deterministic calculations, making it difficult to obtain exact, reproducible metrics for rigorous analysis.

Solution

Arb Insights offers a vertically integrated alternative data engine that computes financial figures on demand using purpose-built deterministic tools. Each metric—growth rates, aggregations, rankings, quarter‑to‑date reads, and KPI calculations—is generated in code against normalized datasets, ensuring the results are exact, reproducible, and auditable. The computed numbers are then delivered to any AI platform, allowing the AI to focus on visualization, aggregation, and advanced analytics without the risk of invented data. The engine supports multiple interaction modes, from point‑and‑click research interfaces to programmatic feeds for quant teams and natural‑language queries within existing AI tools, all using a single consistent data source.

Target Audience

Primary customers are institutional investors, hedge funds, and quantitative research teams that require reliable, audit‑ready financial metrics for AI‑driven analysis.

Features

  • Deterministic calculation engine that generates financial metrics in real time rather than predicting them
  • Reproducible outputs: identical prompts return identical numbers, each traceable to the underlying dataset
  • Auditable data lineage for compliance and verification purposes
  • Seamless integration with any AI or analytics platform via API, supporting chat, code, or UI workflows
  • Normalized, curated alternative data repository covering a broad range of equities and market indicators
  • Multi‑mode access: point‑and‑click UI, programmatic feed for quant models, and natural‑language query interface
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