Production-Ready AI on AWS by Ibexlabs

Production-Ready AI on AWS is Ibexlabs' end-to-end professional services offering for startups and SMBs that want to ship reliable, secure, and cost-efficient AI on AWS — without rebuilding their team or stack to do it. We meet you wherever you are: still scoping the use case, stuck mid-POC, or running early production workloads that need to scale safely.

The problem we solve Most SMBs experimenting with GenAI never make it past the POC. The model works, the demo lands, and then production exposes everything that wasn't designed for: data pipelines that don't scale, no guardrails, runaway token spend, no monitoring, no governance. Hiring a full ML platform team isn't realistic, and going it alone delays the value the AI was meant to unlock.

What's included Pillar 1 — AI Readiness Assessment & Roadmap (2 weeks). Use-case prioritization, data and security maturity audit, reference architecture aligned to the AWS Well-Architected ML Lens, FinOps baseline, and a 90-day prioritized roadmap.

Pillar 2 — GenAI / LLM Deployment on AWS (4–8 weeks typical). Production deployments on Amazon Bedrock, Amazon SageMaker, or self-hosted open-weights LLMs. Includes RAG with vector search (OpenSearch, pgvector, or Pinecone), agentic workflows, guardrails, prompt-injection defenses, PII redaction, evaluation harnesses, IaC (Terraform/CDK), CI/CD, and Well-Architected hardening.

Pillar 3 — Managed AI Operations (monthly). 24×7 monitoring and incident response, model drift detection, retraining workflows, AI FinOps (token/GPU/inference cost optimization), SOC 2 and HIPAA-ready governance patterns, quarterly business reviews, and a named AWS-certified AI/ML engineer.

Who it's for Startups and SMBs (50–1,000 employees) running on AWS, with a working POC or a prioritized AI use case, that need to ship safely without a dedicated ML platform team. Especially valuable for teams in regulated or sensitive-data domains (B2B SaaS, healthcare, fintech).

Why Ibexlabs AWS Premier Tier Services Partner with AWS Competencies in Machine Learning and DevOps. 100+ AWS-certified engineers across US, EU, and India delivery hubs. Productized engagements with fixed scope, fixed timeline, and predictable pricing. Reusable IP — assessment frameworks, RAG starter kits, FinOps dashboards, evaluation harnesses — accelerates time-to-value.

How to engage After purchase or inquiry through AWS Marketplace, an Ibexlabs solutions architect contacts you within one business day to confirm scope and start delivery. Pricing is delivered via private offer scoped to your environment, data volumes, and SLAs.