How It's Built
A small, honest architecture we can explain end to end.
Retail-tuned models, role-based access controls and straightforward integrations. We'd rather show you the pipeline and its limits than hand you a badge wall.
Retail-tuned
models, not generic text AI
Weekly
shipping product updates
Hours
not weeks, to process a batch
Architecture
Six layers, one platform.
Ingestion layer
Parses PDFs, spreadsheets, images, line drawings, CAD files and supplier APIs into structured records.
Intelligence layer
Retail-trained models generate missing attributes, classify taxonomies and score image and text quality.
Validation layer
Every record is checked against GS1 standards, retailer taxonomies and marketplace listing requirements.
Product graph layer
Complementary and compatible relationships plus embeddings that power search, recommendations and agents.
Activation layer
Delivers verified data to PIMs, ERPs, commerce platforms, marketplaces and warehouses.
Governance layer
Role-based access controls, audit logging and full traceability from source document to published value.
Trust and governance
The governance pieces we built first.
Access controls
Role-based access controls and audit logging so you can see every action, even while we're early.
APIs and webhooks
RESTful APIs and webhook integrations connect Pro Data Intel to PIMs, ERPs, commerce platforms and data warehouses. Our connector list is growing, and we'll tell you if yours isn't ready.
Compliance and governance
Validate against GS1 standards, retailer taxonomies and marketplace requirements, with full traceability from source to output.
Cloud architecture on AWS
How the platform runs on AWS.
Reference architecture for our production rollout. Figures marked as targets are planning values, not audited results.
Ingestion
Amazon S3 for supplier files, AWS Lambda and Amazon SQS for event-driven parsing jobs.
AI models
Amazon Bedrock and Amazon SageMaker for attribute generation, classification and image scoring.
Data store
Amazon RDS for PostgreSQL for product records, Amazon OpenSearch for catalog search.
APIs & delivery
Amazon API Gateway and Amazon ECS on Fargate serve REST APIs, webhooks and connectors.
Security
AWS IAM least-privilege roles, AWS KMS encryption at rest, TLS 1.2+ in transit, AWS CloudTrail audit logs.
Observability
Amazon CloudWatch metrics and alarms, with daily automated backups and multi-AZ failover.
99.9%
Uptime target
< 30 s
Target processing time per SKU
500K
SKUs per month, year one target
ap-south-1
Primary AWS region (Mumbai)
Roadmap
Q3 2026
Private beta with design partners
Q4 2026
Production launch on AWS, first paid pilots
Q1 2027
SOC 2 Type I readiness, Bedrock model upgrades
Q2 2027
Agentic commerce feeds generally available
Technologies We Integrate With
An ecosystem your commerce stack already runs on.
Google CloudCloud infrastructure
ShopifyE-commerce
PimcorePIM system
SnowflakeData warehouseLogos and names are trademarks of their respective owners. Listing indicates integration or platform usage, not endorsement.
Want the architecture deep-dive?
Ask us anything. A founder will walk you through the data flow, what's stable and what's still rough. No sales engineer in the middle.