How two parties who don’t know each other move from anonymous discovery through structured negotiation to a document their professionals can act on.
Conventional marketplace platforms do one of two things: show you a list (search results, supplier directories) or close the deal for you (e-commerce checkout, escrow, fulfillment). Both work well when the product is standardized and the market has enough volume to absorb waste.
DeeperPoint operates in a third space — markets where the parties don’t yet know what the deal is, let alone the price. The product specification emerges through negotiation. The transaction structure requires facilitators whose roles must be defined. The regulatory pathway is specific to this particular pairing.
In these markets, the platform’s job is not to close the deal. It is to get the parties to a meeting of the minds — and then hand the result to their own professionals for execution.
Each participant creates a profile using the marketplace’s vertical-specific schema. A Saskatchewan barley grower describes cultivar, grade, volume, delivery window, and export experience. A Filipino craft brewer describes batch size, grain specification, import pathway, and pricing flexibility. A heritage restoration architect describes the project, conservation requirements, budget range, and timeline.
Profiles are not forms with fixed taxonomies. Each marketplace defines its own schema through the Cosolvent configuration compiler — different verticals have different fields, different visibility rules, different matching weights.
Every field is tagged public (browsable gallery), protected (revealed on mutual consent), or private (used by the AI for matching, never shown to other participants).
Participants can upload existing documents (capability statements, certifications, lab results). The AI extracts structured fields automatically — no manual form-filling required.
When the matching engine identifies a promising pairing, it does not just notify the parties. It generates a Content Match Story — an AI-authored narrative explaining why this match is worth pursuing and what the parties could plausibly accomplish together. Not a profile summary. Not a referral. A case, made on behalf of the match.
The story is delivered anonymously. Both parties read the argument for the match without knowing who the other party is. This protects competitive intelligence: a manufacturer exploring new markets doesn’t signal to competitors that they’re looking, and a buyer with a sourcing gap doesn’t reveal their vulnerability.
Identity is revealed only on double opt-in — both parties must independently signal interest before either name is disclosed. When they do connect, they arrive at their first conversation already understanding the match argument. The cold-call problem disappears.
Capability alignment, complementary strengths, potential deal structure, relevant regulatory context from CommonContext, and an honest assessment of gaps or risks.
When each viable match is rare, you cannot afford a 70% attrition rate between “matched” and “first conversation.” The story converts passive matches into active engagement.
After double opt-in, the parties enter a structured negotiation workspace. This is not a chat window — it is a guided process where the platform tracks what has been agreed, what remains open, and what each party’s last position was.
The platform also identifies facilitators who need to be involved: an inspector for a machinery condition assessment, a freight forwarder for cross-border logistics, a regulatory consultant for export compliance, or an attorney specializing in the relevant jurisdiction. These aren’t referral links — they are structurally integrated into the deal, with defined role slots.
CommonContext surfaces relevant domain knowledge throughout the negotiation: regulatory requirements, standard compliance pathways, alternative certification routes, and precedent deal structures. This “workaround knowledge” — the non-obvious things an industry insider knows — is curated by the marketplace sponsor and grows every time the matching engine encounters a new domain gap.
When both parties have explored the fit and reached a preliminary understanding, the platform assembles a Deal Brief — a structured, non-binding document that captures the full state of the negotiation.
| Section | What it captures |
|---|---|
| Principals | Who the parties are, their roles, and their verified credentials |
| Agreed terms | What both parties have consented to — product specification, volume, delivery window, pricing range |
| Open items | What remains unresolved, with each party’s last position documented |
| Facilitators | Which role slots have been filled (inspector, forwarder, attorney, insurer) and which are still open |
| Regulatory checklist | Compliance steps required before the transaction can execute, sequenced by dependency |
| Next steps | Who needs to do what, in what order, with estimated timelines |
The Deal Brief is the document the parties hand to their own attorneys, banks, insurers, and logistics providers. It is not a contract. It is the structured input that makes contracting possible — the organized summary of mutual understanding that a professional advisor needs to draft the actual agreement.
The platform’s job ends here. Execution — legal drafting, banking due diligence, insurance underwriting, export permit applications — happens offline, through the parties’ existing professional relationships.
Why “not a contract” is a feature, not a limitation. In complex commercial negotiations, nothing is binding until everything is agreed — the package-deal principle. A platform that locks in individual terms prematurely misrepresents how these deals work. The Deal Brief respects this reality: it captures the full negotiation state without committing either party until their own attorneys have reviewed the complete picture. This also lowers the adoption barrier for cautious SMEs who would never surrender control to a platform — your lawyer and your bank are still in charge.
| What it produces | Where the platform’s job ends | Assumes the market is… | |
|---|---|---|---|
| Supplier directories | A search result — a shortlist of names | At discovery. The buyer’s work begins. | Thick enough that a list is useful |
| Transactional marketplaces | An enforceable contract with escrow | At transaction completion | Standardized enough for automated contracting |
| DeeperPoint | A Deal Brief | At the point where professionals can take over | Too complex for automated contracting — the specification emerges through negotiation |
See the matching process in action with synthetic participants, or explore the 250+ thin market scenarios where this architecture applies.