DealSold.ai Strategic White Paper

This document is strategy and market research, not legal, tax, or regulated-financial advice. The AML process, client-money/payment architecture, financial-promotions posture, and transaction contracts must be reviewed by qualified UK professionals before implementation. Regulatory points are flagged throughout in §8.

0. Executive summary

The UK property-deal channel runs on word of mouth. Sourcers find investable opportunities; investors with capital want them; and the two are matched today through WhatsApp groups, personal relationships, and trust built up over years. It works, but it does not scale. It is opaque, the numbers are routinely inflated, and both sides waste enormous time on deals and counterparties that were never going to complete.

DealSold.ai systematises that channel without killing the trust that makes it work. The product is not property listings. It is trusted liquidity: verified deals on one side, verified funds-ready capital on the other, and a matching, verification and transaction layer between them.

Our research covered around 90 platforms across seven countries, first-hand teardowns of the leading UK competitor platforms, and a deep founder-led operating study. It converges on one finding:

A two-sided marketplace that combines AI matching, verified trust, escrow-style fee protection, compliance verification and a genuine end-to-end digital transaction does not exist anywhere in the world. The pieces are scattered across different players in different countries. Nobody has assembled them. That is the opening.

The model in one line: sourcers pay a predictable monthly subscription with a commission that falls to 0% on the top plan; investors browse free, unlock full deal packs by verifying their identity and funds, and pay a refundable reservation deposit to unlock the exact property and hold the deal. The platform calculates every headline figure from evidenced inputs, labels the provenance of every number, and scores three things independently: the deal, the sourcer, and the investor's reliability.

Why it wins: we don't try to prevent people going around the platform. We make going around irrational by attaching verification, fee protection, reputation and the transaction operating-system to on-platform behaviour. We beat the incumbents on the one thing they all fake: actually delivering the digital transaction they only advertise.

1. The problem: a high-value channel running on duct tape

Property sourcing is the business of finding an investable property opportunity, packaging it with the numbers and evidence an investor needs, and introducing it to a buyer for a fee (typically £3,000–£5,000 for standard residential). It is a large, real, everyday activity, and it is held together by manual effort and personal trust.

The sourcer is the human API between disconnected systems. A single deal is assembled across portals, auction sites, agent phone calls, spreadsheets, WhatsApp, PDFs, brokers and solicitors. The founder research (Q1) maps twelve stages from "qualify the investor" to "close the loop," and every hand-off leaks time:

• Vague investor mandates scattered across WhatsApp, email, CRM and memory.
• Duplicate discovery: the same address found and re-entered across channels.
• Multiple versions of the truth: different spreadsheets produce different numbers for the same deal.
• Value trapped in phone calls: the most important intelligence (vendor motivation, real price) lives in private notes.
• Deal packs rebuilt by hand: hours turning already-collected facts into a PDF.
• Forgotten matches: a good deal and a suitable investor both exist, but nobody connects them.
• No feedback loop: forecast-vs-actual is rarely captured, so quality never compounds.

And the trust layer is fragile in three specific ways:

1. The numbers are routinely inflated. "20% BMV" usually means "negotiated down from an unrealistic asking price to roughly market value." GDV is cherry-picked from the highest comparable; refurb is understated; SA revenue assumes best-case occupancy. Every optimistic assumption leans the same way (Q10, Q20).
2. You can't tell a real counterparty from a chancer. Sourcers can't easily distinguish a serious, funds-ready investor from a tyre-kicker; investors can't distinguish a legitimate sourcer with a real deal from an opportunist daisy-chaining someone else's. (Q8, Q9.)
3. Deals die late for reasons that were knowable early: valuation gaps, understated refurb, unfinanceable property, a vendor who was never really committed, or an investor who diverted the same capital to another deal (Q4).

The incumbents have not fixed this. Our teardown of the most prominent UK competitor platforms found text catalogues whose actual "buy" button is "I'm Interested, Please Call Me," with fully-public unverified figures (one live featured deal contradicted itself, showing 23% and 25% return on the same page), no sourcer identity, no compliance check, and a supply base of training-course students chasing gamification points. They market a slick marketplace and deliver a lead-capture form. That gap is the reputation of the entire category, and it is our wedge.

2. The opportunity: sell trusted liquidity, not listings

The insight that reframes the whole product:

Optimise for the highest probability that a verified deal meets verified capital and completes, not for the largest number of listings.

A marketplace that maximises listings recreates the incumbents' problem: lots of unverified deals, thin real demand, and a "waste of time" reputation. A marketplace that maximises completed matches between verified deals and verified capital is a fundamentally different, and defensible, product.

This produces a counter-intuitive but correct launch principle from the founder research (Q16): early users should feel there are more serious buyers than good deals. Oversupplying inventory before buyer liquidity exists is the fastest route to failure. We deliberately start with fewer, better deals against pre-verified capital.

The atomic object is the investment deal, not the property listing (Q1). The platform carries a deal through its entire lifecycle, from sourcing to evidence, verification, matching, reservation, conveyancing, completion and recorded outcome, and that outcome feeds back into the scores. This is what no incumbent does, and it is the source of the compounding advantage: every completed transaction makes matching, verification and reputation smarter.

3. Market evaluation (TAM / SAM / SOM)

Honest headline: this is a real but niche UK opportunity. The gross sourcing-fee pool is tens of millions per year, not hundreds. A subscription + reservation-deposit marketplace supports a defensible base-case ~£1.5m annual revenue run-rate by year 3, a solid SME/early-venture business whose real value is the compounding data moat (§12), not a large static TAM. We state it this way deliberately: over-claiming the TAM is the fastest way to lose a credible investor.

3.1 The market in numbers (sourced)

(Full sourced table with URLs in the market-sizing working notes; figures point-in-time and flagged for re-verification in §3.5.)

3.2 The two soft numbers (triangulated, labelled)

No official register isolates "sourcing" from general estate agency, so two numbers are estimates, not facts:

• Active, compliant UK sourcers: ~3,000–4,000 doing this as a genuine income stream, inside a churny fringe of ~8,000–12,000 intermittent/part-time/lapsed registrants. (Ceiling: 16,450 AML-registered estate-agency businesses, of which sourcers are a subset; floor: curated directories show hundreds, for example PropSourcer 140 verified and Sourced 240 franchisees.) Softest number. Verify by FOI or direct request before any investor deck.
• Annual UK investor/BTL purchases: ~120,000/yr (range 110k–150k), ≈10–13% of all transactions: ~80–90k mortgaged BTL purchases plus a conservative cash-investor increment.
• Share of investor purchases sourced via a paid third party: low 3% / base 7% / high 12%. No authoritative source exists; this is the second-softest number, and it drives the fee pool.

3.3 The sourcing-fee pool (the value we intermediate)

Top-down (investor purchases × %-sourced × fee):

Bottom-up cross-check (sourcers × deals/yr × fee): base 3,500 × 6 × £4,000 = £84m (low ~£36m; high ~£192m). The two methods diverge, implying either fewer genuinely productive sourcers than directory bravado suggests, or a higher sourced-share than 7%. Taking the overlap conservatively:

Defensible annual UK sourcing-fee pool ≈ £35m–£110m, midpoint ~£60m. This is the gross fee flowing to sourcers: the pool a marketplace intermediates, not platform revenue.

3.4 TAM / SAM / SOM

Our revenue is sourcer subscriptions + a modest take on reserved/completed deals (and float/adjacent referrals), not the gross fee pool.

• TAM ≈ £65m/yr (range ~£40–125m): the ~£60m fee pool + ~£5m of sourcer tooling/subscription spend the platform competes for (~8,000 registrants × ~£600/yr, benchmarked to PropertyData £14–£60/mo and Nimbus £150–£390/mo). Upside footnote only: including adjacent transaction services (mortgage, conveyancing, refurb, lettings referrals across ~120,000 investor purchases) pushes a broader TAM past £150m, but that is lower-confidence and must be separately justified, never the headline.
• SAM ≈ £20m–£26m/yr (~£23m): the compliant, actively-transacting sourcer segment and its deal flow the platform can realistically address (~30–40% of core TAM), a serviceable base of ~1,500–2,500 paying-capable sourcers and their ~3,000–6,000 sourced deals/yr.
• SOM (3-year capture): subscription anchored at £49–£99/mo; deal take modelled conservatively at £200–£400 net per facilitated reservation/completion (deliberately below a % of a £4,000 fee):

Base SOM ≈ £1.5m annual run-rate by year 3: ~1,000 paying sourcers (a low-single-digit share of the registered fringe) and ~2,000 facilitated deals (~2% of investor purchases), i.e. ~6–7% of SAM, a reasonable 3-year marketplace penetration.

Willingness-to-pay is proven: sourcer-facing tools already sell at £15–£60/mo (individuals) to £150–£390/mo (premium suites), and investor-side directory access at ~£129/mo, so a £30–£99/mo sourcer subscription sits comfortably inside demonstrated pricing.

3.5 What must be re-verified before external use

This section is defensible for internal strategy but should be hardened before any investor deck: (1) the active-sourcer count (FOI to HMRC AML / TPO / PRS, or direct to NAPSA/PRS); (2) NAPSA's absolute membership (unpublished); (3) the %-sourced-via-third-party assumption (a small buyer survey would de-risk the whole fee pool); (4) the clean BTL purchase (not purchase+remortgage) count from UK Finance data tables; (5) refreshed Nimbus pricing (currently quote-only). Present both fee-pool methods (top-down £34m vs bottom-up £84m) with the reconciliation, never a single point estimate.

4. Competitive landscape (condensed): why now, why us

The full analysis is in the Competitive Landscape report; the essentials:

Every platform in the space captures one piece of the puzzle and misses the rest.

The closest UK competitors:

• Sourcery: the most feature-complete (marketplace + SaaS + escrow + ratings), but no AI matching, no app, unproven traction.
• PropSourcer: compliance-first, but a lightweight directory: no escrow, no transaction, no AI.
• The leading UK competitor platforms, the ones we most directly beat: gated to paying students, self-referential vetting, a few dozen unverified public listings each, "Please Call Me" as the transaction, and brand baggage. The category is theirs to lose.
• Sourced: biggest network, the only mature apps, but franchise-quality variance produces the sector's worst complaints (investors paying £6k+ for deals never delivered) and no central escrow.

International lessons we adopt: OFFMARKET24's structured buy-box matching with a match-quality threshold and its deliberate no-commission subscription model; Bayut's document-plus-physical listing verification; Upwork's blended public/private reputation score; Airbnb's double-blind review reveal and behavioural trust tiers; the French turnkey graveyard (Masteos et al.) proving you must stay asset-light and not internalise a salaried sourcing army.

Why now: AML enforcement on sourcers is tightening (HMRC issuing penalties; ~90% of sourcers found non-compliant by NAPSA), which makes verification a moat rather than a chore; proof-of-funds is already a routine, legally-expected step in UK purchases; and AI has made both figure-verification and brief↔deal matching genuinely buildable at low data volumes.

5. The product: how DealSold works

5.1 One marketplace, strategy-specific underwriting

Support every major strategy at launch (BTL, BRRR/BRR, HMO, Rent-to-Rent, Serviced Accommodation, Flips, Commercial, Land/Development) but build one marketplace and transaction model with strategy-specific underwriting modules, not seven separate products (Q13). Depth is sequenced: BTL, BRRR, HMO and Flips deepest at V1; then SA/R2R; Commercial and Land/Development on a flexible framework first. Positioning: "Every property investment strategy. One deal marketplace."

5.2 The three-gate access model (this is the monetisation and the anti-leakage design)

Information and commitment unlock in three deliberate stages, so we filter time-wasters and protect confidentiality without paywalling ordinary browsing (which would scare off the serious investors we most want):

1. Browse: free and open. Teaser cards: strategy, area (not the exact address), headline economics, Deal Score, Sourcer Score, evidence confidence, the single biggest risk. Passive investors get a curated feed; professionals get full-inventory search.
2. Full deal pack: unlocked by verification (free). Once an investor is KYC + proof-of-funds verified, they see the complete underwriting and evidence room. Verification, not money, is this gate, in line with the principle that POF is a status gate, not an entry barrier to browsing (Q9).
3. Reserve: refundable deposit. To move from evaluating to proceeding, which unlocks the exact address, sensitive data-room items and a direct line to the sourcer and holds the deal exclusively, the investor pays a refundable reservation deposit. It is returned if the deal falls through through no fault of theirs (within defined, transparent terms) and converts toward the sourcing fee if they proceed.

This gives both sides skin in the game before full disclosure, the strongest available anti-tyre-kicker and anti-disintermediation mechanism, while keeping discovery frictionless.

5.3 Trust architecture: four independent signals (never merged)

Combining these would hide risk, so we keep them separate (Founder Research, Appendix A):

Proposed Sourcer Score weighting (from Q8): Deal integrity & forecast accuracy 25% · Execution & completion 20% · Provenance/control 15% · DD quality 15% · Professional reliability 10% · Collaboration behaviour 10% · Marketplace conduct 5%. New verified sourcers show "Score building," not a punitive low number.

Investor Reliability must never become a wealth score. £500k in the bank does not make someone reliable; current unallocated capital + a record of proceeding does (Q9). Critically, the platform enforces that the same capital cannot appear as unallocated across multiple reservations, solving the "committed then diverted the same £200k elsewhere" failure mode (Q4).

5.4 Verification: calculate, don't trust

The platform's defining feature. Headline figures are platform-calculated from evidenced inputs, not free-text ROI claims (Q10, Q20). The sourcer enters facts and uploads evidence; AI extracts the figures and flags gaps; the platform computes BMV (from underwritten current value, never asking price), yield, ROCE, cash-on-cash, cash-left-in and profit using standard definitions. Every material number carries an evidence-provenance label:

Verified · Third-party evidenced · Sourcer assessed · AI estimated · Investor/solicitor to verify · Unknown

Two signature mechanics:

• The Optimism Index flags deals where every assumption leans favourable (high GDV + high rent + low refurb + high LTV + no contingency). Each number can look individually plausible while the stack is fragile or inflated.
• Ban the unqualified words "secured," "BMV" and "verified ROI." Replace "secured" with an explicit control lifecycle (Identified → Vendor engaged → Price agreed → Mandated → Exclusive/lock-out → Contractual control → Exchanged), always showing who controls the opportunity, under what document, until when, and whether it's verified (Q3).

Verification is framed as commercial advantage, not bureaucracy: verified deals rank higher, reach better investors, and build the sourcer's forecast-accuracy record. Reward, don't merely police.

5.5 The deal pack: three layers

Not a 70-page PDF of screenshots. Three layers, every number traceable (Q2):

1. Decision summary: property, strategy, agreed price, total capital required, underwritten return, control status + deadline, the one or two deal-breaking risks. Answers "What am I buying? Why is it a deal? What can go wrong? What do I do next?" in 30 seconds.
2. Underwriting: full cost model, refurb schedule, comparable-supported value range, rent/revenue evidence, sensitivity (downside/base/upside), financeability, planning/regulatory position.
3. Evidence room: the underlying documents themselves.

5.6 Matching & the feed (staged AI)

Two experiences over the same verified inventory (Q11, Q12):

• Curated feed for busy/passive investors: a personalised, ranked stream of investable opportunities that fit their mandate, with Pass / Save / Interested. It learns from every interaction. It is not "Tinder for property" and never a generic stream of every upload. The swipe is a preference-elicitation and shortlisting gate, never the decision surface. Each card carries the serious numbers + Deal/Sourcer Scores + evidence confidence + the single biggest risk.
• Pro Search / "Show me everything" for professionals: full-inventory filtering on every economic parameter, saveable complex screens, instant alerts when a new deal qualifies.

Passive users get curation. Professionals get control. Both consume the same verified marketplace. The matching engine is staged to data volume: rules + LLM brief↔deal similarity now (works from day one at low volume), graduating to learning-to-rank as interaction data accrues, then behavioural/embedding matching at scale. The "deep AI match" becomes a headline feature once live inventory crosses ~200 quality deals.

5.7 The transaction: Ask / Speak / Reserve

The direct answer to the incumbents' "Please Call Me" problem (Q19). Human conversation is valuable for trust, negotiation and judgement, but it must not be the transaction mechanism. Three CTAs:

• Ask: AI answers information questions from the evidence room ("what's the rent?") instantly.
• Speak: message, call or video the sourcer easily, for trust and negotiation.
• Reserve: commit to the opportunity under clear terms, pay the refundable deposit, e-sign.

Automate information. Facilitate trust. Escalate judgement. Behind Reserve sits the transaction operating-system: timestamped introduction + economics record, documents, tasks, milestones, and automated progression chasing solicitor instruction, finance, valuation, searches and deadlines across all parties. Complex land/development/commercial escalates to human involvement earlier by design.

5.8 Lifecycles (the state machines the product runs on)

• Deal: Discovered → Analysed → Sourced → Verified → Investor-Ready → Reserved → In Conveyancing → Exchanged → Completed.
• Investor: Member → Qualified → Verified Investor → Funds Ready → Transaction Ready → Proven Buyer.
• Control: Identified → Vendor Engaged → Price Agreed → Mandated → Exclusive → Contractual Control → Exchanged.

Every failed or rejected deal captures a reason code, so over time the platform predicts which verified deals are most executable, not merely most attractive (Q4).

6. Business model & monetisation

Locked direction: subscription-led on the supply side with a commission that falls with the plan (25% → 10% → 0%), refundable deposit on the demand side.

6.1 Sourcer subscription (primary revenue)

Sourcers pay a predictable monthly fee and a commission on the sourcing fee that falls as they move up the plans, reaching 0% on VIP. The economics are still decisive (Q6): on a £4,000 fee, a sourcer who co-sources 50/50 because someone else supplies the buyer keeps £2,000; on the £47/month Pro plan with 10% commission they keep ~£3,553, and on VIP ~£3,803. They are not comparing £47/month with free. They are comparing it with giving away £1,500–£3,000+ every time someone else supplies the buyer.

Tiers (set 3 Sep 2026; the free tier is the acquisition engine, the paid tiers sell reach, tooling and a lower commission):

Commission is charged on deals reserved and completed through DealSold and deducted at fee payout. This requires the sourcing fee to be collected through the platform (Stripe) rather than settled off-platform, which changes the reservation-to-completion flow (see §8).

What the subscription actually sells is not "a database of investors" (easy to copy, quickly spammed). It is access to verified, active, funds-ready buyers who match the deal and can transact now: identity + POF verified, mandate captured, current unallocated capital known, finance readiness understood, completion history recorded.

6.2 Investor refundable reservation deposit (secondary revenue + the trust mechanism)

Investors join and browse free; verification is free. The refundable reservation deposit (see §5.2) is paid to unlock the exact property + direct sourcer line and hold the deal. Its primary purpose is trust and anti-leakage, not margin, but it also creates a payments relationship. Whether the platform earns a small processing margin on deposits/fees is a payments-architecture decision (see §8); the deposit itself must be held by a regulated third-party payment/e-money provider, not on our own balance sheet.

6.3 Adjacent / future revenue (kept off the launch critical path)

Verification/compliance services for sourcers, premium data/underwriting tooling, transaction-progression services, and partner referrals (broker/solicitor/insurance) are natural expansions, introduced only once the core marketplace is liquid, and always tested against the FCA perimeter (§8).

6.4 Unit-economics logic

Revenue is leakage-resistant by construction: the subscription books before the two parties can transact off-platform (the Thumbtack principle), and the reservation deposit + on-platform-only reputation make bypass a forfeiture rather than a saving. Detailed projections belong in the investor cut and depend on the §3 sizing.

7. Go-to-market

7.1 Cold start: verified investors first

Onboard verified, funds-ready investors first, privately, then recruit sourcers against visible demand (Q15). The scarce, valuable asset is verified capital, not deals; sourcers are easy to recruit once the pitch is "we already have buyers." Launching with abundant deals and thin demand creates the fatal "this platform can't sell deals" reputation.

Sequence:

1. Recruit 50–100 genuinely useful investors privately; capture strategy, geography, budget, POF, finance route and timetable.
2. Build a demand map: exactly where verified capital wants to deploy, by strategy and region.
3. Recruit sourcers against live mandates: "We have 23 funds-ready buyers for this type of deal."
4. Open the marketplace only when both sides experience liquidity rather than emptiness.

Measure cold-start success by verified deployable capital per strategy/region, not by registered investor count. Target the first 100 repeat buyers, not the first 1,000 sign-ups.

7.2 Inventory pacing (quality over volume)

Launch gates that matter more than inventory: % of deals getting qualified interest within 24–72h; match-to-response rate from verified investors; reservation rate and time-to-reservation; repeat uploads by good sourcers; DD-complaint rate; supply-to-capital ratio by strategy/region.

7.3 Nationwide product, concentrated seeding

Launch UK-wide. Capital is mobile, strategies concentrate in different regions, and professionals want to screen the whole country by economics (Q17). But concentrate acquisition resources where network strength and liquidity are best, managed internally via a Strategy × Region liquidity map. The product launches nationwide; the growth engine scales region by region based on liquidity.

7.4 Ideal first investor

Experienced, capital-ready, time-poor repeat portfolio investor, £75k–£500k+ deployable, buys several times a year, has broker/solicitor relationships, understands the metrics, can buy outside their home area, and is happy to verify funds for priority access. "I know how to buy property. I don't need another course. Put good, verified opportunities in front of me." (Q18.)

8. Regulatory & compliance strategy

This shapes the build more than any feature. Specialist UK FCA/property counsel must review before launch. (Full detail: Competitive Landscape §5.)

• Sourcers are estate agents (Estate Agents Act 1979). Every sourcer must hold redress-scheme membership (TPO or PRS; it is a criminal offence to trade without one), HMRC AML supervision, ICO registration and PII. We verify all of these at onboarding, re-check on renewal, auto-suspend on lapse, and display them as a badge, turning the industry's ~90% non-compliance into our moat.
• The FCA perimeter: the line we must not cross. Introducing an investor to a whole property they buy and control themselves is outside FCA regulation. Pooled money, SPV shares, loan notes, fractional ownership, JVs or "hands-off returns" become a Collective Investment Scheme and/or a financial promotion, which is criminal without authorisation. Product rule: default to whole-property, investor-owns-and-controls deals; hard-gate any pooled/JV/fractional feature behind a separate, separately-counselled pathway.
• Client money & the reservation deposit. Holding a refundable investor deposit is client money → safeguarding / Client Money Protection territory. It must flow through a regulated payments/e-money partner, never our own account. This is a first-order build decision, not an afterthought.
• "Marketplace ≠ immunity." As publisher/arranger we likely carry our own AML, data-protection, financial-promotion and consumer-protection (DMCCA 2024) liability. Projected-return claims are regulated advertising (ASA): substantiated, risk-warned, "capital at risk." The platform-calculates-figures + evidence-labels design (§5.4) is also our financial-promotions defence.
• Refund terms must be unambiguous and fair (DMCCA/consumer protection). Non-refundable property "reservation fees" carry a bad reputation; ours is refundable, but the when/why must be crystal-clear at the point of payment.

9. Technology & build approach

• Surfaces (Q14): Mobile-first discovery, desktop-first underwriting, mobile-first communication, desktop-first management. Ship an excellent responsive web app + a cross-platform iOS/Android app. Phone exposes decisions, alerts, capture and messaging; desktop exposes complex underwriting and management.
• AI-led mobile capture for sourcers: dictate the viewing, upload photos/video, let the system structure the notes rather than forcing 40 fields onto a small screen.
• Verification engine: evidence ingestion + AI figure-extraction + standardised metric calculation + provenance labelling + the Optimism Index (§5.4). This is the technical heart of the product.
• Matching service, staged: rules + LLM similarity → learning-to-rank → embeddings (§5.6).
• Payments: integrate a regulated PSP/e-money provider for the reservation deposit and any fee flows (§8); the platform never touches client money directly.
• Data model: the deal is the atomic object, carrying evidence, scores, lifecycle state, control status, matched investors, and outcome. Investor mandates and verified capital bands are first-class objects powering the demand map and matching.
• Build posture: Russ builds it (flexible stack); favour fast iteration and a shared backend serving web + mobile + the AI services.

10. Risks & mitigations

11. Roadmap (phased)

1. Foundations & private alpha: verification engine + deal object + three-gate access; recruit 50–100 verified investors; build the demand map; 10–20 hand-curated deals. Payments partner + compliance-verification flow live.
2. Marketplace launch (nationwide, seeded): open supply to compliance-verified sourcers against live mandates; curated feed + Pro search; Ask/Speak/Reserve with refundable deposit; Deal/Sourcer/Investor scores in "building" mode.
3. Intelligence & scale: deep AI matching switches on past ~200 live deals; transaction-progression OS; forecast-accuracy history compounds; region-by-region liquidity scaling; adjacent revenue tested against the perimeter.

12. Why this wins

• We deliver the digital transaction the incumbents only advertise: Ask/Speak/Reserve instead of "Please Call Me."
• We make trust computable: four independent scores, platform-calculated figures, evidence provenance on every number.
• We verify both sides, compliance-gated sourcers and funds-verified investors, and make verification a commercial advantage, not a chore.
• We protect the deal and the fee: three-gate disclosure, refundable deposit, escrow-style fee protection via a regulated partner.
• We're structurally resilient: asset-light, people-light, subscription-led, and strictly outside the securities perimeter.
• We compound: every completed transaction improves matching, verification and reputation.

The product thesis: Verified deals. Verified capital. Better matching. Cleaner transactions.

DealSold wins if a good sourcer can upload a defensible deal, immediately reach investors who genuinely have the capital to buy it, secure a meaningful commitment, protect the sourcing economics, and progress the transaction, without giving away half the fee or rebuilding the same diligence in five different systems.

Appendix: glossary of the platform's core objects

• Deal: the atomic object; a packaged, evidenced investment opportunity with scores, lifecycle state and outcome.
• Deal Score / Sourcer Score / Investor Reliability / Compliance status: the four independent trust signals (§5.3).
• Evidence provenance labels: Verified / Third-party evidenced / Sourcer assessed / AI estimated / To-verify / Unknown.
• Optimism Index: a fragility flag for deals where every assumption leans favourable.
• Three-gate access: Browse (free) → Full pack (verification-gated) → Reserve (refundable deposit).
• Demand map: verified deployable capital by strategy and region; the cold-start and matching backbone.

Sourcing: this white paper synthesises the competitive research, the competitor teardown, and the founder research Q&A. Market-sizing figures (§3) are sourced separately and should be re-verified before use in any external investor materials.