Brickworks

    Schema-based.
    AI-native. One API.

    Build custom data structures for loyalty programs, catalogs, and campaigns — with AI-native personalization, federated data, single-API delivery, and AI-agent-ready outputs.

    10M+

    Content bricks managed

    <10ms

    API response latency

    99.99%

    Schema validation accuracy

    1

    API call for full payload

    AI-agent ready

    Context for LLMs & copilots

    Key capabilities

    Everything you need to build, manage, and deliver schema-based content at enterprise scale.

    Complete Schema Flexibility

    Define any data structure — loyalty tiers, product catalogs, campaign rules — with a visual schema builder. Brickworks adapts to your business model, not the other way around.

    Visual schema builder with drag-and-drop
    Nested objects and array types
    Version-controlled schema evolution
    No-migration schema updates

    AI-Native Personalization

    Every content brick is AI-aware. Brickworks integrates with Synerise AI Hub to deliver personalized content variants based on behavioral predictions, segments, and real-time context.

    Per-user content variant selection
    Behavioral context injection
    AI-scored content ranking
    Real-time personalization at edge

    Unified Content Schema

    One schema to rule all content types. Products, offers, loyalty programs, and campaign assets live in a single data model — queryable via one API call with zero data duplication.

    Single API for all content types
    Cross-entity relationship mapping
    Atomic multi-entity updates
    Schema-enforced data consistency

    Zero-Copy Single API Delivery

    Deliver personalized content bundles in a single API call — no ETL, no sync jobs, no data copies. Brickworks assembles responses from live data with sub-10ms latency.

    Single endpoint for complex payloads
    Sub-10ms response assembly
    No ETL or data replication
    CDN-compatible response caching

    AI-Agent Ready

    Every Brickworks response is structured for machines as well as humans. LLMs, copilots, and autonomous agents consume the same schema-governed JSON — no extra transformation layer required.

    Structured JSON output for LLMs
    Field-level access control per agent
    Same governance for humans and machines
    MCP server integration (coming soon)

    Interactive Showcase

    See Brickworks in action

    Explore each core capability — from schema design to single-API delivery — with live animated demonstrations.

    Schema Builder

    Visual schema designer for building custom data structures — loyalty programs, product catalogs, campaign configurations — with type safety and validation built in.

    Drag-and-drop field composition
    Nested object & array support
    Built-in validation rules
    Version-controlled evolution
    Schema: LoyaltyTier
    v3.2
    tier_namestringreq
    points_thresholdnumberreq
    benefitsobject[]
    expiry_daysnumber
    multiplierfloatreq
    5
    Fields
    12
    Validators
    3.2
    Version

    Built for your use cases

    From loyalty programs to product catalogs — Brickworks adapts to any content structure your business needs.

    Loyalty Programs

    Build tier structures, point rules, reward catalogs, and member journeys — all as schema-defined bricks with real-time personalization.

    Dynamic tier thresholds
    Points multiplier rules
    Reward catalog management
    Member journey orchestration

    Product Catalogs

    Manage product hierarchies, variant matrices, pricing rules, and availability — federated from PIM/ERP with zero data duplication.

    Multi-variant product structures
    Dynamic pricing rules
    Inventory federation
    Category hierarchy management

    Campaign Management

    Define campaign structures, targeting rules, creative assets, and scheduling — with AI-driven content selection per user segment.

    Campaign rule definitions
    Creative asset management
    A/B variant configuration
    Schedule & trigger rules

    AI Agents & Copilots

    Feed AI agents and copilots with structured, schema-governed context — the same data that powers your frontend, with field-level access control and full audit trails.

    Structured context for autonomous agents
    Field-level access control per agent
    Audit trail for every agent action
    Schema-governed LLM responses

    Unified Content Schema

    Single API. Complete response

    Personalized in real-time

    Every channel. One source

    AI-Agent Ready

    Every field type in a single data model

    Live data assembled in real-time — no ETL, no copies

    Points, quests, promotions — resolved per profile

    App · Email · POS · Web — all from one schema call

    Field-level access control for LLMs and agents (Schema-governed JSON · no transformation layer)

    Your Schema

    +
    {
    "quest3": {
    "id": "2f134158-b3ad-48f1-b008-f84f52d62f77",
    "includeDetails": true
    },
    "quest1": {
    "id": "afaae200-7e01-47a1-9654-9d74dd1cf4ce",
    "includeDetails": true
    },
    "loyaltyLevel": {
    "id": "08075ec6-e77e-40ef-a13e-f65e40e67369"
    },
    "customerdata": {
    "firstname": "{{customer.firstname}}",
    "lastname": "{{customer.lastname}}",
    "newsletterAgreement":
    "{{customer.newsletterAgreement}}"
    },
    "loyaltyPointsBalance": {
    "id": "5b71b588-0088-4170-8489-6d18ab5ae010"
    },
    "quest2": {
    "id": "f60a355a-6e97-41be-89ed-8bbc430cd44d",
    "includeDetails": true
    }
    }
    First Name
    First Name
    Profile attribute
    Points Balance
    Points Balance
    Expression · current points total
    Loyalty Level
    Loyalty Level
    Expression · Tier status
    Number of Transactions
    Number of Transactions
    Aggregate · Total completed purchases
    Top Visited Categories
    Top Visited Categories
    Aggregate · Most browsed product categories
    Promotions
    Promotions
    Active promotions assigned to profile
    Transaction Data
    Transaction Data
    Value from jinjava · purchase history
    Cross-Sell Reco
    Cross-Sell Reco
    Ai Recommendation
    Profile's Promotions
    Profile's Promotions
    Value from jinjava · Personalised profile promotions
    Quest #1
    Quest #1
    Expression · added to cart 3 products
    Custom Data
    Custom Data
    Raw JSON object
    Customer Quest Status
    Customer Quest Status
    Aggregate · quest progress
    Item ID
    Item ID
    Value from jinjava · Unique product identifier
    Product Data
    Product Data
    Catalog
    Product Name
    Product Name
    String
    Similar Recommendations
    Similar Recommendations
    Ai Recommendation
    Weather Forecast
    Weather Forecast
    External data
    Last Name
    Last Name
    Profile attribute
    Birthday
    Birthday
    Profile attribute
    City
    City
    Profile attribute · location
    Preferred Channel
    Preferred Channel
    Expression · email / sms / push
    Days Since Last Visit
    Days Since Last Visit
    Expression · recency score
    Average Order Value
    Average Order Value
    Aggregate · mean spend per transaction
    Email Open Rate
    Email Open Rate
    Aggregate · last 90 days
    Churn Risk Score
    Churn Risk Score
    Ai Prediction · probability of churn
    Next Best Action
    Next Best Action
    Ai Recommendation · personalised next step
    Segment Tags
    Segment Tags
    Audience segments assigned to profile
    Coupon Code
    Coupon Code
    String
    Wishlist Items
    Wishlist Items
    Catalog · saved products
    Referral Source
    Referral Source
    External data · acquisition channel
    Predicted CLV
    Predicted CLV
    Value from jinjava · lifetime value estimate
    First Name
    First Name
    Profile attribute
    Points Balance
    Points Balance
    Expression · current points total
    Loyalty Level
    Loyalty Level
    Expression · Tier status
    Number of Transactions
    Number of Transactions
    Aggregate · Total completed purchases
    Top Visited Categories
    Top Visited Categories
    Aggregate · Most browsed product categories
    Promotions
    Promotions
    Active promotions assigned to profile
    Transaction Data
    Transaction Data
    Value from jinjava · purchase history
    Cross-Sell Reco
    Cross-Sell Reco
    Ai Recommendation
    Profile's Promotions
    Profile's Promotions
    Value from jinjava · Personalised profile promotions
    Quest #1
    Quest #1
    Expression · added to cart 3 products
    Custom Data
    Custom Data
    Raw JSON object
    Customer Quest Status
    Customer Quest Status
    Aggregate · quest progress
    Item ID
    Item ID
    Value from jinjava · Unique product identifier
    Product Data
    Product Data
    Catalog
    Product Name
    Product Name
    String
    Similar Recommendations
    Similar Recommendations
    Ai Recommendation
    Weather Forecast
    Weather Forecast
    External data
    Last Name
    Last Name
    Profile attribute
    Birthday
    Birthday
    Profile attribute
    City
    City
    Profile attribute · location
    Preferred Channel
    Preferred Channel
    Expression · email / sms / push
    Days Since Last Visit
    Days Since Last Visit
    Expression · recency score
    Average Order Value
    Average Order Value
    Aggregate · mean spend per transaction
    Email Open Rate
    Email Open Rate
    Aggregate · last 90 days
    Churn Risk Score
    Churn Risk Score
    Ai Prediction · probability of churn
    Next Best Action
    Next Best Action
    Ai Recommendation · personalised next step
    Segment Tags
    Segment Tags
    Audience segments assigned to profile
    Coupon Code
    Coupon Code
    String
    Wishlist Items
    Wishlist Items
    Catalog · saved products
    Referral Source
    Referral Source
    External data · acquisition channel
    Predicted CLV
    Predicted CLV
    Value from jinjava · lifetime value estimate
    First Name
    First Name
    Profile attribute
    Points Balance
    Points Balance
    Expression · current points total
    Loyalty Level
    Loyalty Level
    Expression · Tier status
    Number of Transactions
    Number of Transactions
    Aggregate · Total completed purchases
    Top Visited Categories
    Top Visited Categories
    Aggregate · Most browsed product categories
    Promotions
    Promotions
    Active promotions assigned to profile
    Transaction Data
    Transaction Data
    Value from jinjava · purchase history
    Cross-Sell Reco
    Cross-Sell Reco
    Ai Recommendation
    Profile's Promotions
    Profile's Promotions
    Value from jinjava · Personalised profile promotions
    Quest #1
    Quest #1
    Expression · added to cart 3 products
    Custom Data
    Custom Data
    Raw JSON object
    Customer Quest Status
    Customer Quest Status
    Aggregate · quest progress
    Item ID
    Item ID
    Value from jinjava · Unique product identifier
    Product Data
    Product Data
    Catalog
    Product Name
    Product Name
    String
    Similar Recommendations
    Similar Recommendations
    Ai Recommendation
    Weather Forecast
    Weather Forecast
    External data
    Last Name
    Last Name
    Profile attribute
    Birthday
    Birthday
    Profile attribute
    City
    City
    Profile attribute · location
    Preferred Channel
    Preferred Channel
    Expression · email / sms / push
    Days Since Last Visit
    Days Since Last Visit
    Expression · recency score
    Average Order Value
    Average Order Value
    Aggregate · mean spend per transaction
    Email Open Rate
    Email Open Rate
    Aggregate · last 90 days
    Churn Risk Score
    Churn Risk Score
    Ai Prediction · probability of churn
    Next Best Action
    Next Best Action
    Ai Recommendation · personalised next step
    Segment Tags
    Segment Tags
    Audience segments assigned to profile
    Coupon Code
    Coupon Code
    String
    Wishlist Items
    Wishlist Items
    Catalog · saved products
    Referral Source
    Referral Source
    External data · acquisition channel
    Predicted CLV
    Predicted CLV
    Value from jinjava · lifetime value estimate

    Example use cases

    Explore real-world implementations from the Synerise Hub — ready to deploy and customize.

    Enterprise-ready by design

    Built for teams that need flexibility without sacrificing governance, security, or speed.

    Low-Code Setup

    Visual schema builder means business teams define data structures without engineering sprints. Go from idea to production in hours.

    Enterprise-Grade Validation

    Every data brick is validated against its schema in real time. Type safety, required fields, and custom validators ensure data integrity at scale.

    Security & Access Control

    Fine-grained permissions per schema, field, and operation. Audit logs track every change. SOC 2 and GDPR compliant by design.

    Version-Controlled Schemas

    Schema changes are versioned like code. Roll back, compare versions, and evolve your data model without downtime or migrations.

    AI Governance Built In

    AI agents and copilots operate under the same governance, access control, and audit policies as human users — no separate tooling required.

    Technical specifications

    Under the hood of the schema-based behavioral CMS.

    Schema EngineJSON Schema v7+
    API Latency (p99)<10ms
    Validation EngineReal-time
    Data FederationZero-copy
    Content DeliverySingle API
    Schema VersioningGit-like
    AI-Agent OutputStructured JSON, schema-governed
    LLM Context DeliverySingle API call, field-level access control
    MCP ServerComing soon

    Ready to build with Brickworks?

    See how schema-based content management with AI-native personalization transforms your customer experience.

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