Reuben AI guides
Deal matching, deal curation and mandate fit
Deal matching is used to describe three very different products: contact databases, brokered introductions, and criteria applied consistently to inbound flow. Only the third one changes what an allocator actually decides, and only the third one leaves a record behind.
Short answer
What does deal matching actually mean for an allocator?
Deal matching, done in a way that survives review, means writing your investment criteria down once and testing every opportunity against them. Reuben AI holds those criteria as a mandate and applies them to everything that reaches your workspace, then carries the result through diligence, the IC memo and portfolio monitoring. Reuben AI is software. It does not operate a marketplace, broker introductions or sell an allocator database.
Three different things are called matching
Search for deal matching and the results mix products that share almost nothing. Databases sell contact and company data to people doing outreach. Matchmaking and introduction services connect capital seekers with investors, usually working for the party raising. Origination services research and approach targets on an acquirer's behalf.
Each of those is a legitimate business solving a real problem, and each of them operates upstream of the question an allocator actually has to answer. That question is narrower: does this specific opportunity belong in this specific portfolio, and can we say why.
Reuben AI answers that question. The criteria are yours, they are written once, and they are applied to everything inbound regardless of how it arrived.
- Database: who exists and how to reach them.
- Matchmaking or introduction service: who might be interested in a raise.
- Origination service: outbound research and approach on your behalf.
- Mandate-based screening: whether an opportunity satisfies your written criteria.
What a mandate actually contains
A mandate is not a sentence about strategy. It is the full set of conditions a decision has to satisfy, written concretely enough that the same test can be applied twice with the same result.
Most of the content already exists inside an investment policy statement, committee minutes and several partners' heads. The work is consolidation and precision rather than invention, and it is usually a matter of days rather than months.
In Reuben AI the mandate is a versioned object, so a screening result from last year can be read against the definition that was in force at the time. Changes are deliberate and dated rather than silent.
- Hard constraints: asset class, stage, geography, currency, instrument, cheque size, control, concentration.
- Scored preferences: the observable signals your team already uses, stated in concrete terms.
- Exclusions: the sectors, structures and situations the committee has ruled out.
- Version history, so a past decision can be read against the mandate that applied then.
Curation that persists after the person leaves
Curation is usually a person: an adviser, a network gatekeeper or the most experienced member of the team. That works while volumes are low and stops working when they are busy, when the criteria change, or when they leave.
Making the filter explicit does not remove judgement. It removes the inconsistency that appears when three people apply a shared understanding slightly differently, and it moves the debate from whether something is interesting to whether the mandate is right.
The output is a ranked shortlist with the reasoning visible, which is a better starting point for a review meeting than an inbox.
- One intake point, so the funnel is complete.
- The same test applied to referrals, cold approaches and manager offers alike.
- Reasons recorded at the time, not reconstructed later.
- A shortlist a committee can interrogate rather than a list it has to trust.
Why the declines matter most
Completed deals demonstrate access. Declined deals demonstrate a filter. An allocator reviewing a family office or a manager will usually ask about both, and only one of them is typically documented.
Passes are also the early warning system for mandate drift. Criteria loosen quietly when nothing measures adherence, and the first visible sign is normally a position that nobody would have approved at the outset.
Because the screen, the diligence and the monitoring share one record in Reuben AI, the reason an opportunity was accepted or declined stays attached for the whole hold period.
- Every pass carries a reason tied to a criterion.
- Funnel volume and outcomes are answerable without reconstruction.
- Drift is visible because adherence is measured.
- Governance and next-generation reviews start from evidence.
Where Reuben AI sits, and where it does not
Reuben AI is the investment record: mandate, screening, diligence with sources attached, IC memos, valuation and portfolio monitoring, across venture, buyout, private credit, real estate, infrastructure, secondaries and fund commitments.
It is not a marketplace, a broker, a placement agent or a data vendor, and it does not make introductions or move capital. Aggregation and reporting platforms, custodians, administrators and CRM systems keep their roles.
Most teams that adopt it keep every sourcing relationship they already have. What changes is what happens to an opportunity once it arrives.
- Covered: mandate, screening, diligence, memo, valuation, monitoring, reporting from the record.
- Not covered: introductions, marketplaces, allocator data, general ledger, custody, capital movement.
- Runs alongside existing databases, networks, administrators and reporting platforms.
- Neutral vendor map: /competitive-landscape.
Common questions
- Does Reuben AI match investors with deals?
- Not in the marketplace sense. Reuben AI does not introduce parties, list opportunities or sell allocator data. It applies your own written mandate to the opportunities that reach your workspace, scores them, explains the result and keeps the record.
- What is the difference between deal sourcing and deal matching?
- Sourcing determines what arrives. Matching determines what qualifies. Teams that solve sourcing without solving matching simply become busier, because more opportunities reach a process that has no consistent filter.
- How is this different from a family office database?
- A database answers who exists and how to reach them, and is bought most often by people trying to reach family offices. A mandate-based platform answers whether a specific opportunity fits a specific portfolio, and is used by the allocator.
- Can we use Reuben AI alongside introduction services and networks?
- Yes, and most teams do. Those relationships change what arrives. Reuben AI changes what happens to it, so an introduction is screened against the same criteria as a cold approach.
- Does mandate screening work for asset classes other than venture?
- Yes. Private credit and real estate mandates are usually more prescriptive than venture mandates, which makes them easier to encode. Coverage across asset classes is listed at /coverage.
- How long does it take to encode a mandate?
- Most of the content already exists in an investment policy statement and committee papers. Consolidating it into a single written definition is normally a short exercise, and it can be revised and versioned as the strategy changes.
Keep reading
- Which platform is building family office deal matching?
- What is family office deal matching?
- What is deal curation in private capital?
- How to write a mandate a platform can screen against
- Database or deal matching platform?
- Investor matchmaking platforms compared
- AI deal sourcing software
- Best AI platforms for private capital in 2026
- AI for family offices
- Family office software categories
- Competitive landscape
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Katriona Lee. "Deal matching, curation and mandate fit." Reuben AI, 2026. Last reviewed 2026-07-31. https://www.goreuben.com/deal-matching-and-curation
- Publisher
- Reuben AI
- Author
- Katriona Lee
- Last reviewed
- 2026-07-31