Macrovision · planned paid workspace

Keep a recurring treasury decision under review.

The Laboratory helps you test a question. Planned Macrovision would help a team apply that reasoning repeatedly to approved organisational evidence: what changed, which obligation is affected, what is missing and who needs to review the exception.

See a Macrovision walkthrough Register interest

The intended customer experience

An exception queue gives the team its next action.

Macrovision is planned around recurring near-term USD obligation reviews for one entity. The central case would connect the affected obligation, available cash, expected receipts, source freshness, policy thresholds, responsible reviewer and deadline.

Planned — not accepting paid engagements. The workspace, monitoring, imports and AI assistance below describe the intended product. No paid subscription, diagnostic or pilot is open. Check product status.

Proposed case design, demonstrated only with synthetic evidence.
Case view	What the team would see	What the record would preserve
Summary	Question, due time, material changes and next responsible person.	Entity, declared test and review cycle.
Evidence	Available, restricted, missing, stale and contextual inputs.	Source records, observation times and the frozen review cut-off.
Analysis	Approved calculation, alternatives and nearest disclosed failure condition.	Exact assumptions, model version and limitations.
Review	Preparation, independent review, escalation and approval.	Named people and their authorised responsibilities.
Decision	Rationale, unresolved exceptions and the team’s existing review document.	The evidence and actual AI output seen at approval.
History	Prior decisions and subsequent material-change reviews.	Frozen approved record alongside the latest monitoring state.

Follow the synthetic late-receipt case

Experiments lead to a strategy

Turn what you learn into a comprehensive strategy draft.

Connect experiment results to your objective, constraints, alternatives and review actions. Inspect which result supports each conclusion and which questions remain unanswered.

Try it locally · research preview

Build from public calculations.

Run an experiment, retain its receipt in this page, compare a branch and inspect a new strategy draft. The browser-local preview keeps the history and shows gaps, incompatible assumptions and model limits. Download a draft yourself when useful.

Explore the strategy builder

Purchased workspace · planned

Keep every completed result in a private history.

The intended purchased service provides all 61 native experiments: 16 public and 45 additional private experiments. Completed workspace runs would automatically enter the user's private database history and create a new evidence-linked strategy version, retaining the earlier drafts.

Strategies identify liquidity and settlement constraints, funding and currency exposures, yield and cost tradeoffs, evidence gaps, monitoring triggers and actions for human review. Unrelated scenarios are kept separate; running more experiments does not validate a forecast.

Planned — not accepting paid engagements. The public preview uses browser-local calculations. The deployed database service has customer operations disabled while commercial access and retained-data controls are qualified. Check product status.

First workflow priority

Start with obligations and cash the team can actually use.

A dependable evidence set matters more than a larger catalogue of prices. The planned first import would cover cash positions, dated obligations, expected receipts, access restrictions and agreed policy thresholds, using a controlled file before broader connectivity is promised.

Confirm the import

Make field meanings explicit.

The user would confirm legal entity, currency, date interpretation, time zone, units and field mappings. Duplicates, missing items, stale records and restricted balances must remain reviewable before an import becomes approved evidence.

Three distinct results

Missing evidence must remain undecided.

Satisfied: The declared test passes with the accepted evidence.
Not satisfied: The declared test fails with the accepted evidence.
Insufficient evidence: The result cannot be determined. No reassuring pass is inferred.

Planned AI assistance

AI prepares and explains. Approved models calculate. Your team decides.

AI is intended to reduce repeated preparation and document work. AI availability alone is not the subscription proposition, and AI prose does not establish a financial probability or forecasting capability.

Prepare the review.

Propose structured fields from approved documents, link each field to its source and expose contradictions or missing information. Proposed changes appear as reviewable differences and cannot silently overwrite approved assumptions.

Explain a validated change.

Draft an explanation when an expected receipt moves, an obligation increases or a source expires. Numerical statements must come from validated model results, with extraction confidence separate from evidence completeness and financial probability.

Draft the decision document.

Prepare the team’s existing liquidity sheet or committee memorandum with alternatives, assumptions, limitations and unresolved exceptions. Preserve the actual AI output and context that the reviewer saw.

Keep documents within their role.

Uploaded documents are evidence, not instructions that grant additional permissions. AI provider, confidentiality and permitted processing terms must be agreed before customer material reaches any AI service.

Relevant evidence

A market movement matters when the decision changes.

Public Lens context remains free. Planned Macrovision would connect relevant changes to an entity’s exposures, obligations and materiality rules, while freezing the evidence behind each approval. New observations would trigger a new review where appropriate.

Each future feed would need an agreed source, coverage, observation time, refresh frequency, delay, stale-data behaviour and licence scope. Historical retention and export rights depend on the feed agreement. A stablecoin price never substitutes for verified redemption access or cash availability.

Inspect public market context

Future commercial scope

One recurring obligation review, for one entity.

The first intended engagement is a bounded review using an agreed evidence set and the team’s existing review document. YieldGuard is not accepting paid engagements, and scope or pricing discussions do not constitute an available offer.

Intended commercial design; no paid engagement is open and no price or launch date is promised.
Item	Planned boundary
Scope	One legal entity, near-term USD obligations, available cash and expected receipts.
Prerequisites	An accountable customer reviewer, agreed policies and a source-controlled evidence set.
Intended deliverables	Validated mappings, an exception-review process, review history and the existing decision document.
Customer effort	Confirm field meanings, resolve missing evidence and review proposed changes.
Acceptance criteria	Agreed measures for preparation time, reviewer effort, unresolved evidence gaps, exception-handling time and use of the record.
Pricing basis	To be defined from review frequency, entity scope, evidence mappings, integration work, support and licensed data requirements.
Separate charges	Any future diagnostic, subscription, integration or market-data charges and credits must be stated in a written proposal; none is promised here.
Exclusions	No payment, trading, custody, asset transfer, investment advice or claimed predictive accuracy.

Entrusted financial information

Customer evidence requires defined authority and permitted use.

Before any customer workspace opens, confidentiality, role-based access, tenant separation, retention, deletion, subprocessors and international processing must be defined and evidenced. Customer information must not enter general-purpose model training or undisclosed secondary use.

These are requirements for the planned service, not claims of a completed customer security deployment or independent assessment. The synthetic walkthrough needs no uploads or customer records. Review the current trust evidence and gaps.

Explore the intended workflow

See the synthetic case or register interest in a recurring review. Financial records and credentials are not needed.

YieldGuard Ltd, company number 16914415, registered in England and Wales, provides technology and research. Macrovision is planned and not accepting paid engagements. YieldGuard does not custody assets, hold client money, make discretionary decisions or execute payments or trades. Customer-authorised people remain responsible for decisions.