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.