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Co-Sell Platform System Architecture Diagrams

For Patent Application Support

Document Classification: Patent Sensitive - Architecture Documentation Version: 1.0 Date: December 2025


1. High-Level System Architecture

                                    VELL CO-SELL PLATFORM
    ==================================================================================

                                   +-------------------+
                                   |   WEB INTERFACE   |
                                   |  (Partner Portal) |
                                   +--------+----------+
                                            |
                                            v
    +-----------------------------------------------------------------------------------+
    |                              API GATEWAY LAYER                                     |
    |  +-------------+  +---------------+  +-------------+  +------------------------+  |
    |  | Partner API |  | Campaign API  |  | Content API |  | Analytics API          |  |
    |  +-------------+  +---------------+  +-------------+  +------------------------+  |
    +-----------------------------------------------------------------------------------+
                                            |
                    +-----------------------+------------------------+
                    |                       |                        |
                    v                       v                        v
    +---------------+-------+   +-----------+-----------+   +--------+-----------+
    |  PARTNER MATCHING     |   |  CAMPAIGN ORCHESTRATION|   |  CONTENT GENERATION |
    |  ENGINE               |   |  ENGINE                |   |  ENGINE             |
    |  +-----------------+  |   |  +-----------------+   |   |  +---------------+  |
    |  | ICP Analyzer    |  |   |  | Calendar Mgr   |   |   |  | Brand Voice   |  |
    |  +-----------------+  |   |  +-----------------+   |   |  | Merger        |  |
    |  | Complementarity |  |   |  | Distribution   |   |   |  +---------------+  |
    |  | Scorer          |  |   |  | Coordinator    |   |   |  | Co-Branded    |  |
    |  +-----------------+  |   |  +-----------------+   |   |  | Content Gen   |  |
    |  | Market Aligner  |  |   |  | Approval Flow  |   |   |  +---------------+  |
    |  +-----------------+  |   |  +-----------------+   |   |  | Asset Builder |  |
    +-----------------------+   +-----------------------+   +---------------------+
                    |                       |                        |
                    +-----------------------+------------------------+
                                            |
                                            v
    +-----------------------------------------------------------------------------------+
    |                           PREDICTION ENGINE                                        |
    |  +------------------+  +-------------------+  +------------------+                 |
    |  | Success Predictor|  | Risk Analyzer     |  | Factor Ranker    |                 |
    |  +------------------+  +-------------------+  +------------------+                 |
    +-----------------------------------------------------------------------------------+
                                            |
                                            v
    +-----------------------------------------------------------------------------------+
    |                              AI/LLM LAYER                                          |
    |  +--------------------+  +--------------------+  +-------------------+             |
    |  | Claude 3 Sonnet    |  | Embedding Models   |  | Custom ML Models  |             |
    |  | (Content & Analysis)|  | (Similarity)       |  | (Prediction)      |             |
    +-----------------------------------------------------------------------------------+
                                            |
                                            v
    +-----------------------------------------------------------------------------------+
    |                              DATA LAYER                                            |
    |  +-------------+  +---------------+  +--------------+  +------------------+        |
    |  | Partner DB  |  | Campaign DB   |  | Content DB   |  | Analytics Store  |        |
    |  +-------------+  +---------------+  +--------------+  +------------------+        |
    +-----------------------------------------------------------------------------------+

2. Partner Matching Engine Architecture

                           PARTNER MATCHING ENGINE
    =========================================================================

                            +------------------+
                            |  MATCH REQUEST   |
                            |  (Partner A)     |
                            +--------+---------+
                                     |
                                     v
                        +------------+------------+
                        |    PARTNER DISCOVERY    |
                        |    (Candidate Pool)     |
                        +------------+------------+
                                     |
                    +----------------+----------------+
                    |                |                |
                    v                v                v
           +--------+------+ +-------+-------+ +-----+--------+
           | ICP OVERLAP   | | COMPLEMENTARITY| | MARKET       |
           | ANALYZER      | | ANALYZER       | | ANALYZER     |
           +-+---+---+---+-+ +-------+-------+ +------+-------+
             |   |   |   |          |                |
             v   v   v   v          v                v
    +--------+---+---+---+----------+---------+------+--------+
    |                      SCORE AGGREGATOR                    |
    |  +--------------------------------------------------+   |
    |  | Weights: ICP(0.35) + Product(0.40) + Market(0.25)|   |
    |  +--------------------------------------------------+   |
    +-----------------------------+----------------------------+
                                  |
                                  v
                    +-------------+-------------+
                    |    DISQUALIFICATION       |
                    |    CHECK                  |
                    |  - Competition > 70%      |
                    |  - ICP Overlap < 20%      |
                    +-------------+-------------+
                                  |
                    +-------------+-------------+
                    |                           |
                    v                           v
           +--------+--------+        +---------+---------+
           |   QUALIFIED     |        |   DISQUALIFIED    |
           |   MATCHES       |        |   (With Reason)   |
           +--------+--------+        +-------------------+
                    |
                    v
           +--------+--------+
           |  SUCCESS        |
           |  PREDICTION     |
           +--------+--------+
                    |
                    v
           +--------+--------+
           |  RANKED MATCH   |
           |  RESULTS        |
           +-----------------+

3. ICP Overlap Analyzer Detail

                          ICP OVERLAP ANALYZER
    =========================================================================

        PARTNER A ICP                              PARTNER B ICP
    +------------------+                      +------------------+
    | company_size:    |                      | company_size:    |
    |   [50-500]       |                      |   [100-1000]     |
    | industries:      |                      | industries:      |
    |   [fintech,      |                      |   [fintech,      |
    |    healthtech]   |                      |    edtech]       |
    | geography:       |                      | geography:       |
    |   [US, EU]       |                      |   [US, APAC]     |
    | technologies:    |                      | technologies:    |
    |   [AWS, K8s]     |                      |   [AWS, Docker]  |
    +--------+---------+                      +--------+---------+
             |                                         |
             +-------------------+---------------------+
                                 |
                                 v
    +------------------------------------------------------------+
    |                  DIMENSION ANALYZERS                        |
    +------------------------------------------------------------+
    |                                                             |
    |  +------------------------+    +------------------------+   |
    |  | COMPANY SIZE OVERLAP   |    | INDUSTRY OVERLAP       |   |
    |  | Range: [50-500] ∩      |    | Jaccard Index:         |   |
    |  |        [100-1000]      |    | |{fintech}| /          |   |
    |  | = [100-500]            |    | |{fintech,healthtech,  |   |
    |  | Overlap Ratio: 0.67    |    |   edtech}|             |   |
    |  | Weight: 0.25           |    | = 0.33                 |   |
    |  | Score: 16.75           |    | Weight: 0.30           |   |
    |  +------------------------+    | Score: 9.9             |   |
    |                                +------------------------+   |
    |                                                             |
    |  +------------------------+    +------------------------+   |
    |  | GEOGRAPHY OVERLAP      |    | TECHNOLOGY OVERLAP     |   |
    |  | Jaccard Index:         |    | Jaccard Index:         |   |
    |  | |{US}| /               |    | |{AWS}| /              |   |
    |  | |{US,EU,APAC}|         |    | |{AWS,K8s,Docker}|     |   |
    |  | = 0.33                 |    | = 0.33                 |   |
    |  | Weight: 0.25           |    | Weight: 0.20           |   |
    |  | Score: 8.25            |    | Score: 6.6             |   |
    |  +------------------------+    +------------------------+   |
    |                                                             |
    +-----------------------------+-------------------------------+
                                  |
                                  v
                    +-------------+-------------+
                    |   FINAL ICP SCORE         |
                    |   16.75 + 9.9 + 8.25 +    |
                    |   6.6 = 41.5              |
                    |   ROUNDED: 42             |
                    +---------------------------+

4. Brand Voice Merging Architecture

                        BRAND VOICE MERGING ENGINE
    =========================================================================

        PARTNER A VOICE                          PARTNER B VOICE
    +--------------------+                  +--------------------+
    | tone: [professional|                  | tone: [innovative, |
    |        innovative] |                  |        approachable]|
    | pain_points:       |                  | pain_points:       |
    |  [security,        |                  |  [security,        |
    |   compliance]      |                  |   scalability]     |
    | values: [trust,    |                  | values: [speed,    |
    |          security] |                  |          agility]  |
    | do: [cite stats]   |                  | do: [use stories]  |
    | avoid: [jargon]    |                  | avoid: [formality] |
    +----------+---------+                  +---------+----------+
               |                                      |
               +------------------+-------------------+
                                  |
                                  v
    +------------------------------------------------------------+
    |                    MERGING PROCESSORS                       |
    +------------------------------------------------------------+
    |                                                             |
    |  +---------------------------+                              |
    |  | TONE HARMONIZER           |                              |
    |  | Input: [professional,     |                              |
    |  |         innovative] +     |                              |
    |  |        [innovative,       |                              |
    |  |         approachable]     |                              |
    |  | Spectrum Average: 0.55    |                              |
    |  | Output: [professional,    |                              |
    |  |          innovative]      |                              |
    |  +---------------------------+                              |
    |                                                             |
    |  +---------------------------+                              |
    |  | AUDIENCE INTERSECTION     |                              |
    |  | Shared Pain Points:       |                              |
    |  |   [security]              |                              |
    |  | Combined Goals:           |                              |
    |  |   [trust, security,       |                              |
    |  |    speed, agility]        |                              |
    |  +---------------------------+                              |
    |                                                             |
    |  +---------------------------+                              |
    |  | MESSAGING MERGER          |                              |
    |  | DO: [cite stats,          |                              |
    |  |      use stories]         |                              |
    |  | AVOID: [jargon,           |                              |
    |  |         formality]        |                              |
    |  | CONFLICTS: formality vs   |                              |
    |  |   professional tone       |                              |
    |  +---------------------------+                              |
    |                                                             |
    |  +---------------------------+                              |
    |  | CONFLICT RESOLVER         |         +----------------+   |
    |  | Resolution: "professional |-------->| AI/LLM         |   |
    |  |   but not formal"         |<--------| (Claude)       |   |
    |  +---------------------------+         +----------------+   |
    |                                                             |
    +-----------------------------+-------------------------------+
                                  |
                                  v
    +------------------------------------------------------------+
    |                    MERGED VOICE OUTPUT                      |
    +------------------------------------------------------------+
    | harmonized_tone: [professional, innovative]                 |
    | shared_pain_points: [security]                              |
    | combined_values: [trust, security, speed, agility]          |
    | messaging_do: [cite stats, use stories]                     |
    | messaging_avoid: [jargon, excessive formality]              |
    | voice_balance: {partner_a: 0.5, partner_b: 0.5}            |
    | co_brand_guidelines: {...}                                  |
    +------------------------------------------------------------+

5. Campaign Orchestration Flow

                      CAMPAIGN ORCHESTRATION ENGINE
    =========================================================================

                        +-------------------+
                        | CAMPAIGN INITIATION|
                        | - Relationship    |
                        | - Campaign Type   |
                        | - Duration        |
                        +--------+----------+
                                 |
                                 v
                   +-------------+-------------+
                   |    CONTEXT GATHERING      |
                   | - Partner A Profile       |
                   | - Partner B Profile       |
                   | - Merged Brand Voice      |
                   +-------------+-------------+
                                 |
                                 v
              +---------------------------------+
              |        AI CAMPAIGN PLANNER      |
              |  +---------------------------+  |
              |  | Input:                    |  |
              |  |   - Partner contexts      |  |
              |  |   - Campaign template     |  |
              |  |   - Duration              |  |
              |  +---------------------------+  |
              |               |                 |
              |               v                 |
              |  +---------------------------+  |
              |  | Claude 3 Sonnet           |  |
              |  | - Campaign name           |  |
              |  | - Objectives              |  |
              |  | - Content calendar        |  |
              |  | - Asset definitions       |  |
              |  +---------------------------+  |
              +--------------+------------------+
                             |
                             v
              +--------------+------------------+
              |      CALENDAR GENERATOR         |
              |  Week 1: [Blog, LinkedIn x2]   |
              |  Week 2: [Email, Case Study]   |
              |  Week 3: [Webinar, LinkedIn]   |
              |  Week 4: [Blog, Email, Recap]  |
              +--------------+------------------+
                             |
                             v
              +--------------+------------------+
              |      ASSET GENERATOR            |
              |  For each calendar entry:       |
              |    1. Generate co-branded       |
              |       content using merged      |
              |       brand voice               |
              |    2. Assign ownership          |
              |    3. Set distribution channels |
              +--------------+------------------+
                             |
                             v
    +--------------------------------------------------------+
    |                  DUAL APPROVAL WORKFLOW                 |
    +--------------------------------------------------------+
    |                                                         |
    |        Partner A                    Partner B           |
    |   +---------------+            +---------------+        |
    |   | REVIEW        |            | REVIEW        |        |
    |   | - Approve     |            | - Approve     |        |
    |   | - Request Chg |            | - Request Chg |        |
    |   | - Reject      |            | - Reject      |        |
    |   +-------+-------+            +-------+-------+        |
    |           |                            |                |
    |           +------------+---------------+                |
    |                        |                                |
    |                        v                                |
    |           +------------+------------+                   |
    |           | Both Approved?          |                   |
    |           | YES -> Ready to Publish |                   |
    |           | NO  -> Revision Loop    |                   |
    |           +-------------------------+                   |
    +--------------------------------------------------------+
                             |
                             v
              +--------------+------------------+
              |     PUBLISHING COORDINATOR      |
              |  - Synchronized publishing      |
              |  - UTM parameter injection      |
              |  - Cross-promotion setup        |
              |  - Analytics tracking           |
              +---------------------------------+

6. Success Prediction Model Architecture

                      SUCCESS PREDICTION ENGINE
    =========================================================================

                           INPUT FEATURES
    +------------------------------------------------------------+
    |  MATCH QUALITY            PARTNER CHARACTERISTICS          |
    |  +-------------------+    +-----------------------------+  |
    |  | icp_overlap: 42   |    | partner_a_tier: premier     |  |
    |  | product_fit: 78   |    | partner_b_tier: advanced    |  |
    |  | market_align: 65  |    | size_difference: 1          |  |
    |  +-------------------+    +-----------------------------+  |
    |                                                             |
    |  HISTORICAL SIGNALS       INDUSTRY FACTORS                 |
    |  +-------------------+    +-----------------------------+  |
    |  | a_prev_cosells: 5 |    | industry_complement: true   |  |
    |  | b_prev_cosells: 3 |    | same_primary_market: true   |  |
    |  +-------------------+    +-----------------------------+  |
    +-----------------------------+-------------------------------+
                                  |
                                  v
                   +--------------+---------------+
                   |     FEATURE NORMALIZATION    |
                   |     & ENCODING               |
                   +--------------+---------------+
                                  |
          +-----------------------+------------------------+
          |                                                |
          v                                                v
    +-----+-----+                                   +------+------+
    | ML MODEL  |                                   | HEURISTIC   |
    | AVAILABLE?|------- YES ---+                   | FALLBACK    |
    +-----+-----+               |                   +------+------+
          |                     |                          |
          NO                    v                          |
          |           +---------+---------+                |
          |           | TRAINED MODEL     |                |
          |           | (XGBoost/Neural)  |                |
          |           +---------+---------+                |
          |                     |                          |
          +---------------------+                          |
                                |                          |
                                v                          v
                   +------------+-----------+    +---------+---------+
                   |   MODEL PREDICTION     |    | HEURISTIC CALC    |
                   |   probability: 0.73    |    | base: 0.30        |
                   +------------+-----------+    | +icp>70: +0.15    |
                                |                | +prod>80: +0.20   |
                                |                | +market>75: +0.10 |
                                |                | +industry: +0.10  |
                                |                | +history: +0.15   |
                                |                | = 0.70            |
                                |                +---------+---------+
                                |                          |
                                +------------+-------------+
                                             |
                                             v
                        +--------------------+--------------------+
                        |        POST-PROCESSING                  |
                        | +------------------------------------+  |
                        | | CONFIDENCE CALCULATOR              |  |
                        | | - Data completeness score          |  |
                        | | - Historical data availability     |  |
                        | +------------------------------------+  |
                        | +------------------------------------+  |
                        | | FACTOR RANKER                      |  |
                        | | 1. product_fit (impact: 0.32)      |  |
                        | | 2. icp_overlap (impact: 0.28)      |  |
                        | | 3. prev_cosells (impact: 0.20)     |  |
                        | +------------------------------------+  |
                        | +------------------------------------+  |
                        | | RISK IDENTIFIER                    |  |
                        | | - size_difference: MEDIUM          |  |
                        | | - tier_mismatch: LOW               |  |
                        | +------------------------------------+  |
                        +--------------------+--------------------+
                                             |
                                             v
                        +--------------------+--------------------+
                        |           FINAL OUTPUT                  |
                        | success_probability: 0.72               |
                        | confidence: 0.85                        |
                        | contributing_factors: [...]             |
                        | risk_factors: [...]                     |
                        +------------------------------------------+

7. Data Flow Overview

                         COMPLETE DATA FLOW
    =========================================================================

    PARTNER ONBOARDING                    RELATIONSHIP FORMATION
    +-----------------+                   +------------------------+
    | Partner signs up|                   | Partner A initiates    |
    | - Company info  |                   | match request          |
    | - ICP definition|                   +----------+-------------+
    | - Brand voice   |                              |
    | - Products      |                              v
    +--------+--------+          +-------------------+-------------------+
             |                   |     PARTNER MATCHING ENGINE           |
             v                   | 1. Pool candidate partners            |
    +--------+--------+          | 2. Calculate ICP overlap scores       |
    | PARTNER DB      |--------->| 3. Calculate complementarity scores   |
    | - Profiles      |          | 4. Calculate market alignment scores  |
    | - Brand voice   |          | 5. Apply disqualification rules       |
    | - ICPs          |          | 6. Run success prediction             |
    | - Products      |          | 7. Rank and return matches            |
    +-----------------+          +-------------------+-------------------+
                                                     |
                                                     v
                                 +-------------------+-------------------+
                                 |   RELATIONSHIP CREATION               |
                                 | - Store match scores                  |
                                 | - Store success prediction            |
                                 | - Send invitation                     |
                                 +-------------------+-------------------+
                                                     |
                                 +-------------------+-------------------+
                                 |   PARTNER B ACCEPTS                   |
                                 | - Relationship status: ACTIVE         |
                                 +-------------------+-------------------+
                                                     |
                                                     v
                                 +-------------------+-------------------+
                                 |   CAMPAIGN CREATION                   |
                                 | 1. Merge brand voices                 |
                                 | 2. Generate campaign plan             |
                                 | 3. Create content calendar            |
                                 | 4. Generate assets                    |
                                 +-------------------+-------------------+
                                                     |
                                                     v
                                 +-------------------+-------------------+
                                 |   DUAL APPROVAL WORKFLOW              |
                                 | - Partner A reviews & approves        |
                                 | - Partner B reviews & approves        |
                                 | - Revisions if needed                 |
                                 +-------------------+-------------------+
                                                     |
                                                     v
                                 +-------------------+-------------------+
                                 |   PUBLISHING & DISTRIBUTION           |
                                 | - Schedule synchronized publishing    |
                                 | - Inject tracking parameters          |
                                 | - Coordinate cross-promotion          |
                                 +-------------------+-------------------+
                                                     |
                                                     v
                                 +-------------------+-------------------+
                                 |   ANALYTICS & FEEDBACK                |
                                 | - Track engagement metrics            |
                                 | - Measure campaign performance        |
                                 | - Feed back to prediction model       |
                                 +-------------------------------------------+

8. Integration Architecture

                       EXTERNAL INTEGRATIONS
    =========================================================================

                              VELL CO-SELL PLATFORM
    +------------------------------------------------------------------------+
    |                                                                         |
    |    +-------------------+     +-------------------+                      |
    |    | Partner Matching  |     | Campaign Engine   |                      |
    |    +--------+----------+     +--------+----------+                      |
    |             |                         |                                 |
    |    +--------+-------------------------+----------+                      |
    |    |                   |                         |                      |
    |    v                   v                         v                      |
    |  +-+---------+   +-----+-----+   +---------------+--+                   |
    |  | AI Layer  |   | Data Layer|   | Integration Layer|                   |
    |  +-----------+   +-----------+   +------------------+                   |
    |                                          |                              |
    +------------------------------------------+------------------------------+
                                               |
           +-----------------------------------+-----------------------------------+
           |                   |               |               |                   |
           v                   v               v               v                   v
    +------+------+    +-------+-----+  +------+------+  +-----+-------+   +-------+-----+
    | AWS         |    | LINKEDIN    |  | EMAIL       |  | CRM         |   | ANALYTICS   |
    | MARKETPLACE |    | API         |  | PROVIDERS   |  | SYSTEMS     |   | PLATFORMS   |
    +-------------+    +-------------+  +-------------+  +-------------+   +-------------+
    | - Partner   |    | - Post      |  | - SendGrid  |  | - Salesforce|   | - Segment   |
    |   listings  |    |   creation  |  | - Mailchimp |  | - HubSpot   |   | - Mixpanel  |
    | - Product   |    | - Scheduling|  | - Campaign  |  | - Lead sync |   | - Google    |
    |   catalog   |    | - Analytics |  |   sending   |  | - Activity  |   |   Analytics |
    | - Reviews   |    |             |  |             |  |   tracking  |   |             |
    +-------------+    +-------------+  +-------------+  +-------------+   +-------------+

Document Version: 1.0 For Patent Application Support Confidential - Architecture Documentation