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Strategic Cloud Partner

AWS + Caelus: Accelerating Cloud‑Native AI

Unified value engineering, data platform modernization and governed MLOps so enterprises realize measurable outcomes faster on AWS.

Abstract cloud & AI platform illustration
Joint Value

Architecture & Execution Pillars

Integrated pillars compress cycle time from ingestion to productionized AI while embedding governance & cost efficiency.

Lakehouse & Data Products

Modern ingestion, incremental processing & semantic models on S3, Glue, Lake Formation & Redshift.

GenAI & Applied ML

Rapid LLM prototyping, retrieval augmentation & specialty models using Bedrock, SageMaker & vector stores.

Governed MLOps

Reusable pipelines, automated model evaluation & lineage with SageMaker Pipelines & CodePipeline integration.

Security & Responsible AI

Policy‑as‑code guardrails, data masking, bias checks & monitoring aligned to regulatory frameworks.

Cost & Performance

Right‑sizing, Spot & Graviton optimization, usage analytics & FinOps dashboards for sustainable scale.

Adoption & Enablement

Playbooks, templates and co‑delivery model accelerating team capability and production readiness.

Reference Architecture

Composable AWS AI & Data Platform Blueprint

A modular blueprint aligning ingestion, feature / vector management, model lifecycle and observability around secure multi‑account foundations.

  • Streaming + batch ingestion with Glue, MSK & Lambda
  • Unified lake catalog & row/column security (Lake Formation)
  • Feature & embedding stores with DynamoDB / OpenSearch
  • LLM orchestration / RAG via Bedrock + custom endpoints
  • Observability: CloudWatch, OpenTelemetry, lineage tracking
Request Architecture Session
High-level AWS AI platform reference architecture placeholder
Execution Accelerators

Reusable Assets & Tooling

Battle‑tested patterns shrink lead time from initial use case to governed production deployment.

Value Sprint Playbook

2–4 week framing methodology: value model, architecture slice, backlog, KPIs.

GenAI RAG Starter

Template repo: ingestion pipelines, embedding generation, retrieval adapters, evaluation harness.

MLOps Pipeline Templates

CI/CD + IaC patterns: data quality gates, model tests, bias checks & promotion workflows.

Outcomes

Impact Benchmarks

Representative improvements from recent enterprise engagements.

3

Faster Use Case Throughput

45

Governance Maturity Lift

28

Run-Rate Cost Reduction

500

Enterprise Clients

Plan Your AWS AI Value Sprint

Assess current estate, surface quick wins & define a sequenced 90‑day roadmap.