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aws cloud, ai/ml, data, security

Build cloud platforms and AI systems that are ready for production.

GenTechCloud helps growing teams migrate, modernize, secure, and automate with AWS and applied AI. We focus on fast wins, measurable ROI, and systems your team can actually operate.

2-6 wksai proof of value
30-40%typical cloud waste target
seniorlean, accountable delivery
Guardrails passingAI eval suite
Deployment healthy99.95% target uptime

Platform expertise across the AWS and modern AI ecosystem

AWSBedrockSageMakerLambdaEKSAuroraOpenSearchDatabricksSnowflakeAnthropic
services

One senior team for cloud, AI, and the data layer between them.

Start with a focused assessment or hand us a full platform outcome. The delivery model is built for mid-market speed and enterprise discipline.

Cloud Engineering

Landing zones, workload migration, modernization, infrastructure as code, and reliability engineering.

Cloud services

GenAI and Agentic AI

RAG assistants, copilots, autonomous agents, evaluation, guardrails, and AI observability.

AI / ML services

Data Engineering

Analytics foundations, lakehouse pipelines, vector search, feature stores, and governance for AI-ready data.

Data services

Security and FinOps

IAM, posture management, compliance evidence, rightsizing, commitments, and cost-accountable engineering.

Security and FinOps
aws expertise

Reference architecture that looks like production on day one.

We assemble the right AWS services around your workload instead of selling generic migration theater. Every design includes cost, security, observability, and handover.

  • Well-Architected reviews
  • Multi-account landing zones
  • Private networking and IAM
  • CI/CD and IaC foundations
  • // control-plane.services
    Lambda Step Functions API Gateway Aurora Bedrock S3 CloudFront OpenSearch KMS
    industries

    Cross-industry expertise, no vendor lock-in.

    We bring patterns that work across sectors and tailor them to your domain, data, and regulatory needs.

    Healthcare & Life Sciences

    HIPAA-aware platforms, clinical data, and AI assistance.

    Financial Services

    Secure, auditable systems and risk-aware AI.

    Retail & eCommerce

    Personalization, demand forecasting, and scale.

    Manufacturing

    IoT, predictive maintenance, and smart operations.

    Media & Entertainment

    Content pipelines and Generative AI at scale.

    SaaS & ISVs

    Multi-tenant platforms and embedded AI features.

    Education

    Learning platforms and AI-powered tutoring.

    Logistics & Supply Chain

    Routing, visibility, and optimization at scale.

    See industry solutions
    01

    Assess

    Cloud, security, cost, data readiness, and AI use-case scoring.

    02

    Architect

    Target state, delivery plan, ROI model, and operational guardrails.

    03

    Build

    Short cycles, demos, IaC, evaluation, observability, and handover docs.

    04

    Operate

    Optional support for optimization, security, and AI quality improvement.

    delivery model

    Senior architecture and lean, accountable delivery.

    A small, senior team means clear communication, strong execution, and pricing that leaves budget for iteration. You always own the code and infrastructure we build.

  • 4core disciplines in one team
  • 90-dayplan to first value
  • 100%code & infrastructure you own
  • case study patterns

    Representative outcomes from combined senior-team experience.

    These are framed as the delivery patterns we apply to your goals — the kind of measurable results we engineer toward.

    FinOps

    Cloud cost rescue for a SaaS platform

    Rightsizing, idle resource cleanup, commitment planning, and cost ownership dashboards.

    30-40% waste reduction target
    GenAI

    Support copilot grounded in company knowledge

    RAG architecture, prompt and retrieval evaluation, safety filters, and helpdesk integration.

    6 week proof-of-value path
    Migration

    Legacy workload moved into AWS landing zone

    Dependency mapping, migration waves, private networking, CI/CD, monitoring, and cutover plan.

    Zero-downtime migration goal
    pricing

    Simple starting points for serious cloud and AI work.

    Use these as starting points. Final scope is confirmed after a short discovery call.

    Assess

    Cloud Health Check

    $5K+

    Best first step for cost, security, migration readiness, or architecture concerns.

    • 1-2 weeks
    • Architecture and cost review
    • Prioritized roadmap
    Request assessment
    Build

    AI / ML Proof of Value

    $20K+

    Turn a high-value use case into an evaluated, production-shaped prototype.

    • 3-6 weeks
    • RAG, agent, or ML workflow
    • Evaluation and deployment plan
    Scope AI project
    Modernize

    Migration Sprint

    $30K+

    Move or modernize a defined workload with automation, testing, and operational handoff.

    • 4-12 weeks
    • Landing zone and IaC
    • Runbooks and training
    Plan migration
    Partner

    Embedded Experts

    $5K/mo+

    Senior cloud and AI engineers embedded with your team to accelerate your roadmap.

    • Monthly engagement
    • Senior cloud / AI engineers
    • Roadmap and execution support
    Discuss partnership
    buyer confidence

    What clients should feel in the first call.

    "They understand both the board-level ROI and the engineering work needed to make it real."
    Cloud modernization buyer expectation
    "The AI plan includes evaluation, guardrails, and cost controls before anyone says production."
    AI program buyer expectation
    "The team is lean enough to move quickly and senior enough to handle risk."
    Founder-led consulting buyer expectation
    contact

    Bring us the cloud or AI problem you want solved this quarter.

    Share the current situation, target outcome, and timeline. The next step is usually a focused 30-minute discovery call.

    hello@gentechcloud.com +1 (000) 000-0000