Live market feeds, SEC filings, and your own logged investor activity — not slideware. Illustrative figures shown; your instance runs on your numbers.
See It On Your DataA transparent six-component score ranks every prospective institution out of 100 — Peer Conviction, New-Buyer Signal, Comparability Fit, Turnover Style, Purchasing Power, and Contactability — rolling up to a priority tier.
The Engagement Score is a weighted model. We publish what it reads, not the weights — but in the platform every component shows its own contribution, so a ranking can always be taken apart.
Which of your comparables an institution already owns, from their own 13F filings. A manager who holds three of your peers already understands the model.
How much of the holder’s own book the position represents, and whether they are adding, trimming, newly in, or out — quarter over quarter.
What actually happened in your meetings and calls. A flagged possible-exit moves a fund differently than a CFO escalation, and the model learns from your log.
Who listened, and for how long — available when you connect your webcast provider. Until then it stays unscored rather than guessed, and the score says so.
A component with no data source is omitted, never zeroed. That is why a score reads “3 of 4 components scored” instead of quietly counting an absence as evidence — the distinction matters when you are deciding who to fly to.
The highest-stakes paragraph on any earnings call, drafted from real math instead of gut feel. The engine reads YTD revenue against a seasonally-weighted pace, computes what H2 needs to hit guidance, and recommends an action.
The hour after the earnings call is when access matters most — and it is usually run off a hand-built spreadsheet. Post Script turns it into timed reminders: at each scheduled callback, the right person is nudged to call the right name — with the context already attached. For a sell-side analyst, their last model and note are one tap away; for a buy-side holder, their latest 13F holdings. No digging, and no one important missed on the first day.
The exec-facing deliverables come out of the same live data as every module above — so board and earnings reporting is generated, not a week of copy-paste. A growing library, including:
Everything management needs before the print — consensus, the guidance call, likely Q&A, and the talking points — in one pack.
The board-ready read on ownership, the stock, coverage, and outreach — generated each quarter, not rebuilt by hand.
The forward IR plan — targeting priorities, coverage goals, and the outreach calendar for the quarter ahead.
You against your revealed peer set on valuation, growth, and margins — the powerful one that turns comps into a defensible number.
The question every CEO asks on a red day — answered with capital-markets rigor instead of a shrug. Lighthouse breaks the day’s move down against a multi-factor risk model, isolates the part of the move that’s genuinely specific to your stock, and reports whether it is statistically abnormal and what most likely caused it.
Every other platform pipes in a third-party consensus — a whole-Street number, updated on someone else’s clock, that you can’t see inside. IRconnect builds yours from the source: it goes to the analysts who actually cover you, collects their estimates, and composes the consensus and price target itself — point-in-time, transparent, and reconciled to your peer and factor framework. The same pipeline reads their published notes for a shift in tone before it shows up in a rating.
Most platforms use the comp list you typed in. IRconnect also asks the market who your peers actually are — and they rarely match. It reads three independent signals off public data, reconciles them against your defined set, and shows you where they diverge.
A 24-indicator scorecard across six risk categories — consensus dispersion, narrative risk, ownership shifts, disclosure compliance, and more — computed from real data wherever a real source exists.
Every inbound analyst or investor email is read and classified by IRconnect — an updated model, a research note, a meeting request, a conference invite, a retail request — and routed to the right person, pre-filled with the fields that matter.
Install IRconnect to your phone’s home screen and the whole platform travels with you — a verdict-first mobile app built for the road, not a shrunken desktop. When the stock makes a genuinely abnormal move after the close, your phone buzzes.
Coverage is capacity: more of the right analysts means more consensus contributors, more roadshow reach, and more voices carrying your story. Most IR tools target investors only. IRconnect also targets the sell-side — it maps who covers your peers but not you, scores each analyst for fit, and flags coverage that is going dormant so you can act before it lapses.
IRconnect tracks what it actually did — every resolved signal, routed email, and classified model — tagged by page and section. When leadership asks “what did we get for this,” there’s a real answer, not an estimate.
Every module above runs on your company’s real market data, filings, and investor activity from day one.
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