Evidence-led S&P 500 equity research

Cut through market noise with evidence-led research signals.

evidra AI helps users focus their S&P 500 research using structured signals, public securities data and plain-English AI explanations.

Replace these buttons with your live App Store and Google Play links when the listings are approved.

Research only S&P 500 focus Public data sources No buy/sell recommendations

Important: evidra AI is designed as a research and discovery companion. It does not provide financial advice, investment recommendations or instructions to buy, sell or hold any security.

Why the comet?

Direction, focus and evidence at the core.

evidra AI logo

The comet represents evidra AI cutting through market noise to surface evidence-backed research signals. The stars represent the AI intelligence layer, and the central ring reflects the evidra Score at the heart of the platform.

Direction & focus

The app is designed to help users focus attention on the signals and evidence that may be worth further research.

AI

AI intelligence

AI helps explain calculated signals and patterns in clearer language, while the underlying score remains evidence-led.

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Evidence at the core

The evidra Score turns multiple categories of public market evidence into a research-interest signal with visible caveats.

What it does

A simpler way to screen the S&P 500.

Reviewing the full S&P 500 manually takes time. evidra AI narrows the field by highlighting companies with interesting evidence patterns, then explains the factors in clear language.

01

Scan the market

Review ranked research signals across the S&P 500, with labels designed to indicate research interest rather than investment suitability.

02

Understand the evidence

See the underlying factors behind each signal, including price movement, fundamentals, insider activity, institutional changes and company events.

03

Research further

Use AI-generated summaries to understand the signal quickly, then make your own judgement using independent research.

The engine underneath

Structured scoring, explained in plain English.

The score is calculated by a deterministic research model. AI does not casually invent the score; it helps explain the calculated result, evidence and caveats in a format that is easier to understand.

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Positive evidence

Factors that may make a company more interesting to research, such as improving momentum, recent evidence strength or supportive fundamentals.

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Caution factors

Risk and context signals are surfaced alongside positives, so the user can see why a company may still require careful review.

Confidence and recency

The model considers how complete, current and useful the available evidence is before presenting the final research label.

Data sources

Built around genuine public market data.

evidra AI focuses on historical and recently published public information. This keeps the platform scalable and avoids the commercial cost of professional-grade forward-looking datasets.

Daily pricesMomentum, price history and market movement context.
SEC Form 4Insider transaction activity and related evidence.
SEC 8-KCompany events such as governance and strategic updates.
SEC 13FInstitutional ownership changes and holder context.
FundamentalsCompany financial metrics and trend indicators.
Macro indicatorsRates, yields, inflation, labour and sentiment context.
Example output

One score. Many signals.

82

Strong Research Signal

A research-interest label that summarises multiple evidence categories. It is not a recommendation.

Positive evidenceMomentum, fundamentals, ownership
Caution factorsRisk events, sales, volatility
ConfidenceData quality and completeness
RecencyHow fresh the signal evidence is

Designed for discovery, not advice.

evidra AI helps answer a focused question: “Which S&P 500 companies look interesting enough for me to research further today?”


It is not intended to replace professional advice, analyst research or a full investment process. Instead, it gives users a more structured way to discover companies, review evidence and build a research shortlist.


  • No personalised financial advice.
  • No buy, sell or hold instructions.
  • No promises of performance or returns.
  • Clear caveats and evidence-led explanations.
Plans

Start simple. Upgrade for deeper research.

Indicative launch pricing shown for positioning. Final pricing and availability may change before the app store launch.

Free

Explore

For users who want to understand the product and follow a small number of highlighted companies.

£0 / month
  • Home dashboard
  • Featured research signals
  • Basic company summaries
  • Starter watchlist
Premium

Advanced Evidence

For users who want deeper context across the major evidence categories behind each signal.

£29.99 / month
  • Insider activity detail
  • Institutional ownership context
  • Fundamental and macro tabs
  • Signal evidence deep dives
Launch app

Built for iOS and Android.

The website’s primary job is to move users to the app. Once the store listings are live, place the official App Store and Google Play links here and in the header.

Launch positioning

Focused. Evidence-led. Compliance-conscious. Designed for users who want a more professional-feeling way to identify companies for further research.