

biia Group LLC offers a comprehensive, 24/7/365 Next-Generation AWS Managed Service Practice. We combine automated Infrastructure as Code (IaC), serverless-first architectures, predictive AIOps telemetry, and enterprise Generative AI capabilities to optimize customer cloud operations across Latin America and North America.

Explore how biia transforms enterprise cloud architectures through serverless modernization, Generative AI integration, and automated operations.

Autonomous Zero-Trust legal notice triage pipeline engineered using Amazon Bedrock, AWS Step Functions, and Amazon Textract. Reduced administrative pre-screening time by ≥85% with zero public LLM exposure.

Automated ESG intelligence & narrative survey extraction engine leveraging Amazon Bedrock, Textract, and AWS Fargate. Compressed processing cycles from 5 days to <30 minutes with ≥88% extraction precision.
Reduction in Administrative Pre-Screening Time
Brito Ballesteros faced massive daily volumes of unstructured, scanned judicial notices and legal PDFs. Manual triage created operational bottlenecks, high risk of missed deadlines, and severe data confidentiality requirements that prohibited the use of public LLMs.
End-to-End Legal Notice Processing Latency
biia architected a serverless ingestion pipeline utilizing Amazon Textract for layout OCR, Amazon Bedrock Agents (Claude 3.5 Sonnet / Nova Pro) for semantic extraction, and Step Functions for orchestration—all isolated via AWS PrivateLink and KMS CMK encryption.
Survey Batch Processing Cycle Compression
Ekuanima processed large-scale socio-demographic field surveys for corporate ESG compliance. Manual extraction of narrative text and tabular survey data was slow, error-prone, and unsustainable for absorbing demand bursts up to 10,000 daily survey records.
Precision Extraction Accuracy on Field Surveys
biia engineered an event-driven extraction engine using Amazon SQS FIFO queues for decoupling, Amazon Textract for table/layout extraction, and Amazon Bedrock with Bedrock Guardrails for semantic variable mapping into DynamoDB On-Demand tables.
Comprehensive operational tooling running live across storage, telemetry pipelines, model execution, and semantic vector operations.

Cleanses and organizes high-volume raw data for AI orchestration.
S3 + Glue + Athena

Supply chain token monitoring and IoT telemetry tracing.
IoT Core + Kinesis

Predictive modeling engines computing business risk metrics.
SageMaker + Bedrock

Semantic listener scanning vectors across complex data streams.
Claude + OpenSearch

Designed for high resilience with asynchronous decoupling to process burst traffic without loss:
[Survey Upload] ➔ [Amazon SQS FIFO Queue] ➔ [AWS Lambda Validation] ➔ [Amazon Textract OCR] ➔ [Amazon Bedrock Semantic Extraction] ➔ [Bedrock Guardrails PII Filter] ➔ [Amazon DynamoDB] ➔ [S3 Lifecycle Tiering]

The solution operates on a scale-to-zero serverless footprint capable of handling bursts up to 500 concurrent notices without performance degradation:
[Scanned PDF Upload] ➔ [S3 Bucket (KMS Encrypted)] ➔ [Amazon Textract Layout OCR] ➔ [AWS Lambda Token Compression] ➔ [Amazon Bedrock Agent Analysis] ➔ [DynamoDB Metadata Store] ➔ [CloudWatch / EventBridge Monitoring]
