01
The Engine Room
Dedicated physical infrastructure, owned outright and sized for a single workload: modelling the global fund universe. One system and one tenant, running without interruption, on compute that is not shared and not rented.
Quantitative Relations is institutional investor relations, conducted with the precision of the funds it serves. Each week the engine resolves a single question across roughly 150,000 funds worldwide: which one is best placed to invest in your company next, who holds the decision, and why.
“We set out to end the ‘spray and pray’ era of investor relations. When Silicon Valley meets IR, the result is Quantitative Relations.”
Conventional investor relations remains, at heart, a distribution exercise. A database is licensed, a single presentation is prepared, and the same message is sent to every name on the list: the same names every peer in the sector is approaching, often in the same week.
A large share of those funds were never in a position to invest. Some are too large for the holding to matter, some are excluded by mandate on stage or jurisdiction, and others have no capital to deploy. Contact records age quickly, and management time is spent on meetings that were never going to progress.
Quantitative Relations begins from the opposite premise. Rather than reaching as many funds as possible, it identifies the few with both the capacity and the intent to invest, and leaves the remainder undisturbed.
Institutional capital is allocated with quantitative discipline. Quantitative Relations applies that same discipline to the funds themselves.
For every fund, the engine establishes what it holds today, as distinct from what its literature states, and the limits under which it operates: the size of position it can take, the sectors and jurisdictions open to it, and the liquidity it requires to enter and exit.
Each fund is then assessed against your company from both sides. Does the fund require what you offer, and is it able to hold it? Only where both conditions are met is a fund put forward. No name is drawn from a contact book or from instinct.
The engine operates without pause, and is dedicated to your company for the full term of the mandate.
Each day it reviews what the market has published: regulatory filings, trades, investor letters, interviews and news. It follows individuals as closely as institutions. When a portfolio manager changes firms, the engine already holds a record of every position they have backed.
It also monitors the conditions that compel a fund to act, among them inflows and redemptions, changes in strategy and the close of a reporting period. Whenever circumstances change, at a fund or at your company, every match is reassessed.
Each week you receive a concise dossier rather than a list.
It identifies the fund best placed to invest, the individual who holds the decision, the evidence supporting the match and the reason the timing is right. The funds that follow are ranked behind it.
No two dossiers are alike. Each is tailored for a single company, reflecting its stage, scale and trading profile, and is renewed every week as the market moves. Quantitative Relations shows precisely where the capital is. How it is approached remains your decision.
The engine behind Quantitative Relations: a dedicated system that processes the global fund market continuously, ETFs included, cross-referencing every relevant data point against the company until it identifies the fund mathematically inclined to invest, and the sequence behind it.
Dedicated physical infrastructure, owned outright and sized for a single workload: modelling the global fund universe. One system and one tenant, running without interruption, on compute that is not shared and not rented.
The engine keeps no schedule. Filings, trades and news are processed as they land, so no fund profile is more than hours old. Research elsewhere begins when an analyst sits down; here it does not stop.
Coverage runs from Toronto, New York and London to Zürich, Singapore, Sydney and Johannesburg, including the regional exchanges and family offices standard databases omit. Every vehicle able to hold the stock is in scope: mutual funds, ETFs, hedge funds and pension funds.
Each fund’s book is rebuilt position by position and modelled for sector weights, liquidity limits, turnover and cash cycles. ETFs are modelled on index rules and flows as well. The result is a profile of what each fund is able to buy next, independent of what its literature says.
Language models read filings, interviews, conference transcripts and decades of manager moves, surfacing intent before it appears in holdings. Geopolitics, commodity cycles, rates and policy shifts are weighted into every read.
Standard terminals stop at price, volume and a handful of ratios. The engine continues several layers further, into ownership chains, insider activity, drill results, permitting and the relationships between them, applied in full to every fund.
The company as funds see it. Financials, drill data, capital structure, shareholder register, peer trading and news flow, joined into one model of the asset and updated as each changes. Any movement, in the company or a peer, re-scores every match.
Every match is tested in both directions: whether the fund needs the asset, and whether the asset fits the fund’s limits on size, stage, jurisdiction and liquidity. Only matches that hold both ways, and continue to hold as the data moves, go forward.
One fund, out of roughly 150,000, positioned to invest, with the next in sequence held behind it. Each arrives as a dossier: the fund, the decision-maker, the gap the asset fills and the reasoning behind the match. Everything upstream exists to produce these pages.
Tier III mandates run inside a private portal. Clients see the pipeline the engine is building for them, the evidence behind each target and every signal as it arrives.
Tier III portal · Illustrative data
Engine telemetry, model validation and outcomes from active Quantitative Relations mandates. Issuer and fund identities are withheld. Full methodology is available to verified clients under NDA.
Events parsed per ~40 km cell across one month: filings, holdings changes, mandate amendments, news and macro signals. The heaviest cells sit on financial centres and mining districts.
SRC · QUANTITATIVE RELATIONS ENGINE · 30-DAY WINDOW · SEP 2026
A CSE-listed gold explorer on an active Quantitative Relations mandate. Cumulative gross proceeds from its public financing closes. Name available to prospective clients on request.
SRC · ISSUER PRESS RELEASES & SEDAR+ · C$ GROSS PROCEEDS · NOV 2024 – AUG 2026
What one fund tells the market it holds, against the portfolio the engine rebuilt from its filings. The gap between the two is the vulnerability.
SRC · FUND FACTSHEET & THESIS vs. 13F, INSIDER FILINGS & 214 POSITION CHANGES · ENTITY WITHHELD
Every fund each method put in front of an issuer, re-scored by the engine. Broadcast and broker lists come from clients’ prior campaigns.
SRC · 360 FUNDS CONTACTED · SCORED RETROSPECTIVELY · DEPLOY THRESHOLD 72
Kaplan–Meier estimate. Funds contacted from Quantitative Relations dossiers against funds contacted in the same issuers’ prior outreach. Ticks mark censored contacts.
SRC · LOG-RANK p < 0.001 · ENGAGEMENT = MEETING, DATA-ROOM OR SITE VISIT
One week around the circle, one spoke per hour. Blue is engine compute in use, measured in exaflops and converted on the right into the analyst-hours it would take to do the same work. Red is the hours a typical IR team puts in over the same week.
SRC · QUANTITATIVE RELATIONS ENGINE · 464 DEDICATED CORES · WEEK OF 14 SEP 2026 · IR BENCHMARK FROM CLIENT-REPORTED TEAM HOURS
From a live mandate. The eventual target (red) alongside 16 of the candidates it was tracked with. Each point is a full re-score across all data families; × marks a candidate eliminated.
SRC · QUANTITATIVE RELATIONS ENGINE · MANDATE TRACE · ENTITY WITHHELD
A weekly dossier. Each one names a fund able to invest in your company, the person there who makes the decision, the evidence for why it fits, and how to open the conversation.
You do, or your broker. Funds take a company more seriously when they hear from management directly, so Quantitative Relations stays out of the conversation. The firm does not contact investors and takes no part in any financing.
Because the cost of a mandate goes into the engine: the data, the compute and the modelling behind every dossier. An outreach team on top would multiply the fee and put a middleman between you and the fund.
A list is a set of names. A Quantitative Relations target is a conclusion. Each one is the fund the engine has calculated to be most inclined to invest in your company, out of roughly 150,000, after its holdings, its manager, its capital and its timing have been weighed against yours. Every name in a dossier has been chosen over every other fund in the market.
All of them: mutual funds, ETFs, hedge funds, pension funds and family offices, around 150,000 worldwide. ETFs are assessed on their index rules as well as their holdings. Quantitative Relations was built in resource equities, but the engine reads funds, not sectors.
Yes. Every mandate draws on the same dedicated compute, and that compute is finite. The race to build artificial intelligence has made high-performance capacity among the scarcest resources in the market: hardware on this scale is allocated years in advance, and where it can be had at all, it is priced for the largest technology firms. Quantitative Relations cannot expand capacity at will, so mandates are taken only when the engine can run them at full depth.
The engine does not run on a schedule. Filings, trades and news are processed as they land, and every match is re-scored when anything changes, in your company or in the fund. A dossier reflects the market as it stood that morning.
The whole market at once. An analyst can follow a few hundred funds. The engine rebuilds the portfolios of every fund it covers, traces each manager’s record across firms and tests every one against your company, every day. It is the work of a dedicated desk of institutional quants, run without pause and directed at one company. The patterns that matter only appear at that scale.
At your discretion. Clients generally describe the mandate in board reporting and news releases as their institutional investor relations programme.
Month to month, and a client may end it at any point in the month. Most IR firms hold clients to 12- or 24-month contracts; Quantitative Relations holds none. Most mandates continue well beyond the first regardless, because the engine’s understanding of a company deepens with every cycle and its read on the market sharpens the longer a mandate runs.
Most are opened by Quantitative Relations: the engine identifies a company institutional capital can reach, and Quantitative Relations makes contact. The remainder come through existing clients.
Correspondence without an introduction is read in turn.
Where there is a fit, Quantitative Relations will be in touch.