Research desks

A full investment committee,
running end to end.

One question flows through every desk an institution would staff — macro, cross-asset, risk, scenario, committee — each a real surface in the app, not a slide. Together they run an analyst-grade workflow that structures the work and keeps uncertainty in view, without ever promising an outcome.

The research pipeline

One thesis, every desk in turn.

A question doesn't stop at one answer. It flows from desk to desk, each adding a lens, until you have a case you understand well enough to act on — or discard.

research-pipeline · desk flow
The desks

Nine lenses on
the same question.

Each desk is a discipline. They structure the research and make assumptions explicit — they don't fabricate conclusions, and none of them promise a result.

Macro Intelligence

Regimes, rates, growth and inflation — the backdrop every position lives inside.

Cross-Asset

How equities, rates, FX and commodities move together, and where the tensions are.

Decision Support

Frames a question, lays out the evidence for and against, and names what would change the picture.

Institutional Risk

Exposure, concentration and drawdown paths at the portfolio level, tied to the Risk Guard survival layer.

Market Opportunity

Scans for situations worth researching further, always labelled with how fresh and complete the data is.

Scenario Analysis

Works through what-if paths and their implications, making assumptions explicit instead of hidden.

Monitoring

Keeps a structured watch on what you care about and flags meaningful change for review.

Investment Committee

A review step that pressure-tests a thesis against a checklist before you commit to it.

Strategy Research

Connects to backtesting and the statistical gauntlet so an idea is stress-tested for overfitting. Draft-only.

Inside the workspace

Walk the desks the way
an analyst would.

This is the institutional research workspace itself — the same surfaces you'd open in the app, rendered here with clearly-labelled demo data. Every figure below is illustrative, never a real market read.

Institutional Workspace — Research Demo · sample data

Research Desks

MacroRiskCommittee
Demo data

Macro Intelligence · primary regime Late Expansion · confidence 63%.

Regime dimensions
Demo
Economic cyclelate_expansion · 72%
Inflationsticky_inflation · 61%
Liquiditytightening · 68%
Risk sentimentrisk_on · 55%
Global growthslowing · 64%
Volatilityelevated
Macro drivers
Deteriorating liquidityHawkish policy stanceElevated volatilityRegime-change tells
Cross-asset correlation stabilityunstable

Narrative: a late-cycle backdrop with tightening liquidity; risk appetite holds but the evidence carries regime-change tells.

Institutional Risk · survival first — health gauges across the 12 risk categories.

Risk health
Demo
71
Guardeddrawdown path modelled
Concentration
46
Elevatedshared macro driver
Evidence
63
Adequate2 below floor
Cascading risks
[cascading]Liquidity regime shift3 affected
[localized]Duration surprise1 affected

Investment Committee · meeting health 76/100 — packets & agenda.

Agenda
Quality thesis reviewdiscussion_ready
Duration disagreementneeds_more_research
Liquidity contingencyblocked
Committee packets
Demo
long quality — discussion_readyquality 78/100
long cash — needs_more_researchquality 61/100
short high-beta — blockedquality 44/100

Internal read-only research workspace · a visualization of existing reports · not investment advice · no orders · no execution · no forecasts.

Reasoning synthesis

Analysis over ten
intelligence engines.

The desks don't lean on a single signal. A conclusion is synthesised across ten intelligence engines — weighing several independent lines of evidence, surfacing where they contradict one another, and attaching quality metrics so you can judge how much the read is worth.

Multi-evidence conclusionsNot one lucky signal
Cross-engine contradictionsSurfaced, not smoothed
Quality metrics on every readHow much to trust it
How Captain Umro reasons
committee · synthesis
engines     10 · weighted
evidence    multi-line
conflicts   surfaced
quality     scored
coverage    labelled honestly
output      draft — not advice

Illustrative structure of a committee read — no real figures or recommendations.

Desk by desk

Each surface, as it
appears in the app.

The cross-asset, opportunity, decision-support and evidence desks — real product surfaces, shown here with demo values so you can read the shape of the work before you sign in.

Cross Asset — Regime read Demo · sample data

Cross Asset

Demo

How the asset classes are reading the same regime — supportive, adverse, mixed or neutral.

EquitiesSupportive
Fixed IncomeAdverse
CommoditiesMixed
FXNeutral
CryptoMixed
VolatilityAdverse
Real EstateNeutral
CashSupportive
Correlation read
Demo
Equities ↔ Credittightening
Equities ↔ Volatilityinverse, strong
Market Opportunity — Hierarchy Demo · sample data

Market Opportunity

Demo

Health 66/100 · strongest long quality · weakest short duration.

Opportunity hierarchy
Demo
1.long quality — high_convictionstrength 74/100conf 68%
2.long cash — emergingstrength 61/100conf 57%
3.short high-beta — developingstrength 52/100conf 49%
4.short duration — monitoringstrength 38/100conf 41%
Decision Support — Committee checklist Demo · sample data

Decision Support

Demo

The committee checklist for the strongest thesis — readiness: committee_review. Expand any item.

Thesis clearly stated & falsifiablepass
Evidence coverage above floorpass
Contradictions resolved or acknowledgedreview
Risk & drawdown path modelledpass
Macro regime dependency documentedreview
[moderate]contradiction: cross-asset read disagrees on duration
[low]assumption: liquidity stays supportive through the quarter
Evidence Inspector — Lineage Demo · sample data

Evidence Inspector

Demo

Open any conclusion and trace its lineage — conclusion → evidence → metric → engine.

“Quality is supported this cycle”
Demo
Balance-sheet strength · derived_from margin-stability metricw 0.34
Low earnings volatility · derived_from dispersion enginew 0.27
Valuation stretch · contradicts · flaggedw −0.18

metric · value 0.42 ratio · strength strong · dataLabel DEMO — replace with your keys in Settings for live data.

Honest by construction

A workflow, not a
verdict machine.

The desks improve the quality of your research and the discipline of your risk-taking. What they deliberately do not do: guarantee results, issue buy or sell recommendations, or present modelled figures as facts.

Descriptive, not directive

Every output is descriptive analysis, never personalized advice or a recommendation to trade.

Honest about coverage

When data is incomplete or delayed, a desk says so rather than filling the gap with invention.

Draft-only, always

Nothing here auto-trades real money. The desks inform the decision; the decision is yours.

The committee

Research like an analyst —
on your own terms.

Start free and grow into the desks when the work calls for it.