POSITIONING · AWS-FIRST WITH FLEXIBILITY
AWS is our technical default.
The default infrastructure is AWS, and that is where the team's depth shows. When a client runs multi-cloud, requires Azure or GCP by corporate contract, or has a hybrid stack with on-premises, we evaluate the case and adjust scope with the same governance discipline. The delivery standard does not change: White Box AI, client-owned code, MLOps, and provider-independent governance.
TECHNICAL COMPETENCY AREAS
Four areas where the team has proven depth.
genai
Generative AI
LLM applications in production, anchored in client data, with governance and White Box AI from day one.
data
Data Engineering
Pipelines, lakehouse and governance in regulated environments. Focus on auditability and predictable cost.
ml
Machine Learning
Predictive and detection models in production, with MLOps and continuous drift monitoring.
bi
Analytics and BI
Corporate dashboards with QuickSight and embedded BI with Sisense when delivery goes inside the client product.
SERVICES WE DELIVER ON AWS
What BlueMetrics delivers on AWS.
Implementation in the client's AWS account
Deploy in the client's account, environment isolation, auditable logs and code delivered to the client. No operational lock-in, no dependency on BlueMetrics account.
Migration and modernization
Migration from legacy to AWS-native architecture. Pipeline refactoring, transactional database migration, managed service adoption where it replaces operational cost.
Continuous operation via AI as a Service
BlueMetrics squad inside the flow, month by month: monitoring, inference FinOps, retraining and model evolution as the business evolves.
AWS STACK MASTERED
The coverage, in chips. What goes into a real project.
GenAI
Data
Machine Learning
App & Infra
CERTIFICATIONS WALL
Over 10 active AWS certification types on the team.
The depth that backs "Advanced Partner" at the human level. Continuous renewal is part of the operation.
Cloud Practitioner
AI Practitioner
Solutions Architect Associate
Developer Associate
Data Engineer Associate
ML Engineer Associate
ML Specialty
GenAI Developer Professional
PRODUCTION CASES ON AWS
Four proofs in production.
Results audited by clients on AWS. Each card shows the metric, the core service behind the delivery, and the sector.
SOLUTION PACKS RUNNING ON AWS
For teams that confirmed technical fit: the offer in ready-to-run format.
BlueAssistant
Bedrock + Claude via Bedrock for data-anchored customer service.
BlueDocs
Textract + Bedrock for document extraction and validation with multimodal NLU.
BlueConnect
Amazon Connect + Q in Connect + Bedrock for intelligent integrations.
BlueOps
SageMaker + Bedrock for operations automation and MLOps in regulated environments.
BlueRisk
SageMaker + Bedrock for anomaly detection, fraud and real-time risk.
BlueDecision
QuickSight + Bedrock + Sisense embedded for model-driven decision making.
FAQ · TECHNICAL DECISION-MAKER
Six answers before the first meeting.
The default infrastructure is AWS, and most projects go into the client's own AWS account. When a client requires Azure, GCP, on-premises, or a hybrid stack, the case is evaluated and the scope adjusts. AWS-first is the default, not a mandate.
The standard is the client's AWS account. Environment isolation, auditable logs, and code delivered to the client are part of the model. BlueMetrics does not access production data unless the continuous operation contract (AI as a Service) explicitly provides for it.
Advanced is the tier that requires multiple certifications, validated cases, and proven technical capacity. BlueMetrics operates at this level with more than 10 active certification types on the team and 200+ projects on AWS.
Most generative AI implementations use Bedrock, for the isolation, the governance, and the ability to switch models without rebuilding the pipeline. Direct models (the Anthropic API, OpenAI) come in when the case needs a resource not yet available in Bedrock.
The team is certified in ML Engineer Associate and ML Specialty, with training, deployment, and monitoring pipelines in production in cases such as Direcional (46% lower default rate) and Pix fraud detection models (R$1.5M avoided, under 1s latency).
The operation accounts for the applicable regulatory framework (LGPD, BACEN, sector rules). Auditable logs, environment isolation, and White Box AI give the traceability that audits require. AWS Advanced Partner does not replace compliance work. It sustains the infrastructure that makes compliance work feasible.