Telcron LLC (B4 Gadget)
Dallas, TX
Consumer Electronics and Retail Compliance (Hazard and Safety Intelligence)
Amazon Bedrock, AWS Lambda, Amazon S3, Amazon OpenSearch Service, Amazon API Gateway
Telcron LLC (B4 Gadget) delivers compliance and product intelligence solutions that help organizations validate regulatory requirements and build consumer trust. As product catalogs and customer feedback grew, Telcron needed a faster, more consistent way to evaluate safety and compliance risk signals across consumer products. Avahi built an AWS-native generative AI pipeline that ingests product listings and reviews, enriches them with Telcron regulatory inputs, and generates source-backed hazard scorecards on a 0 to 10 scale. The engagement showed Telcron could reduce hazard assessment time per product from several hours to under 5 minutes, while establishing a repeatable foundation for scaling compliance monitoring across more categories.
Telcron LLC is a diversified technology platform focused on enabling market compliance, e-commerce authentication, emerging technology, and the resale of computing solutions built for digital transformation. As a compliance solutions provider, Telcron offers tools to achieve and verify regulatory requirements through a single interface, delivering real-time traceability and analytics across a wide range of products.
Telcron needed an automated way to evaluate product safety risks across consumer electronics and household items. Their teams were relying heavily on manual review of product pages and customer complaints, an approach that was slow, inconsistent, and difficult to scale as product volumes increased.
Without automation, Telcron risked delayed identification of safety and compliance issues, uneven scoring across categories, and missed hazard signals buried in unstructured reviews. That would limit their ability to expand compliance monitoring to more products, regions, and regulatory scenarios without adding significant manual effort.
Telcron wanted an AWS-native approach to ingest product and review data from a single agreed online source, then transform it into actionable compliance intelligence with clear traceability. AWS enabled a streamlined architecture where ingestion, storage, model inference, and search could be combined into one cohesive workflow without managing complex infrastructure.
AWS also supported the requirement to use pretrained foundation models while producing structured outputs that could be evaluated for accuracy, consistency, and explainability.
As a Premier Tier AWS Partner, Avahi was uniquely qualified to lead a rapid, AWS-native generative AI engagement that balanced speed with rigor, especially around explainability and repeatable scoring methodology.
Telcron engaged Avahi for deep, hands-on experience designing end-to-end generative AI pipelines on AWS, including ingestion of unstructured web data, normalization of inconsistent source formats, and delivery of structured, citation-backed outputs that could be validated by stakeholders
– End-to-end AWS architecture for hazard scoring
– Data ingestion pipeline (AWS Lambda, SerpApi, ScraperAPI, Amazon S3)
– Hazard extraction and scoring workflow (Amazon Bedrock, Amazon OpenSearch Service)
– API to return hazard scorecards (Amazon API Gateway, AWS Lambda)
– Hazard score generation for sample product categories, including structured scorecards and comparison summaries
– Technical documentation, recommendations, and handoff package
The engagement delivered a repeatable, category-agnostic framework for product hazard intelligence that replaces manual, inconsistent review processes with automated, explainable scoring. With an AWSnative pipeline, Telcron can evaluate products faster, apply a consistent methodology across categories, and scale compliance checks to more product lines with fewer manual resources.
Founder, Bravo Foxtrot
