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    Data & AI Pipeline Engineering on AWS & Databricks for Regulated

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    Sold by: Kriv AI 
    Kriv AI — AWS Select Tier Services Partner, Databricks partner, Anthropic CPN member — designs and implements governed Bronze/Silver/Gold medallion data platforms for US-regulated enterprises. Two stack options: AWS-native (Amazon Redshift, AWS Glue, AWS Lake Formation, Amazon SageMaker) or Databricks-on-AWS (Delta Lake, Unity Catalog, Delta Live Tables, MLflow). Three fixed-scope tiers (6 / 8 / 12 weeks) for healthcare, financial services, insurance, and life sciences. Audit-ready evidence pack mapped to HIPAA Security + Privacy Rules, 21 CFR Part 11, HITRUST CSF v11.2 AI Security, NIST AI RMF, ISO/IEC 42001:2024, SOC 2 Type II, EU AI Act Article 10, GDPR, GLBA, and PCI DSS v4.0. Stack-neutral — Tier 1 includes a 5-year TCO model and AWS-native vs Databricks-on-AWS decision record.

    Overview

    Production-grade, audit-ready data and AI pipelines for US-regulated enterprises.

    Kriv AI delivers medallion data platforms for US-regulated enterprises in healthcare, financial services, insurance, and life sciences with typical revenue between $500M and $10B. As an AWS Select Tier Services Partner, Databricks partner, and Anthropic Claude Partner Network member (approved April 2026), we engineer data platforms that are governed, reproducible, and defensible to regulators and internal audit from day one.

    Methodology: Medallion architecture

    • Bronze ingests raw source-of-truth data with full lineage and immutable audit logs.

    • Silver conforms, deduplicates, validates, and quality-gates data using declarative contracts.

    • Gold exposes governed, role-filtered marts and feature stores for BI, analytics, and ML.

    Every layer is built with policy-as-code access controls, column- and row-level security, PHI/PII/PCI tokenization, and end-to-end lineage that holds up under HIPAA Security + Privacy Rules, 21 CFR Part 11, HITRUST CSF v11.2 AI Security, NIST AI RMF 1.0, ISO/IEC 42001:2024, SOC 2 Type II, EU AI Act Article 10, GDPR, Gramm-Leach-Bliley, and PCI DSS v4.0 review.

    Two deployment options — customer choice

    • AWS-native: Amazon S3, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon Athena, Amazon SageMaker + AWS KMS, CloudTrail, Config for encryption and evidence capture.

    • Databricks-on-AWS: Delta Lake, Unity Catalog, Delta Live Tables, MLflow, Databricks SQL, deployed into the customer AWS account with private networking + customer-managed keys.

    We help you pick the right stack for your workload profile, team skill set, regulatory posture, and 5-year TCO — and we document the decision with a defensible architecture record. No vendor lock-in.

    Three fixed-scope, fixed-price tiers

    • Tier 1 — Assessment + Target Architecture Design (6 weeks, $50,000). Current-state audit, regulatory gap analysis, reference architecture, medallion data contracts, governance model, implementation roadmap, build-vs-buy recommendation, AWS-native vs Databricks-on-AWS decision with 5-year TCO model.

    • Tier 2 — Medallion Implementation (8 weeks, $100,000). Production Bronze + Silver layers, 3–5 priority Gold marts, CI/CD, observability, lineage, access controls, runbook, operational handover. Choose AWS-native OR Databricks-on-AWS variant.

    • Tier 3 — Enterprise Data Platform (12 weeks, $200,000). Full medallion platform, feature store, ML pipeline pattern (MLflow or SageMaker), DataOps framework, FinOps guardrails, disaster recovery, audit evidence package, enablement for up to 10 internal engineers. AWS-native or Databricks-on-AWS variant.

    Industry use cases

    • Healthcare: X12 837 claims + HL7/CCDA clinical → FHIR normalization → Gold Patient-360 → risk models.

    • FSI: Core banking transactions → medallion → AML/fraud feature marts → graph + gradient-boosted fraud ML.

    • Insurance: Policy + claims + telematics → medallion → underwriting features → severity/frequency pricing + SIU fraud scoring.

    • Life Sciences: CDISC SDTM trial data → medallion → safety signal detection + regulatory submission marts.

    Infrastructure and licensing costs — important

    Infrastructure and licensing costs are not included. Customers pay AWS directly for all AWS consumption (S3, Glue, Redshift, SageMaker, Athena, KMS, CloudTrail, networking, etc.). Customers pay Databricks directly for all DBU consumption, Unity Catalog, and Databricks platform licensing on engagements using Databricks-on-AWS. Kriv AI fees cover professional services only. We help you forecast and FinOps-model both AWS and DBU spend during Tier 1 so there are no budget surprises. Kriv AI provides engineering methodology only — not legal, regulatory, clinical, or compliance-attestation advice. Customer is solely responsible for its own BAA with AWS, regulator engagement, and ongoing platform operations post-handoff.

    Get started. Contact info@kriv.ai  or +1 732 433 5564. Most engagements kick off within 2–3 weeks of contract signature

    Highlights

    • Medallion Bronze/Silver/Gold architecture on AWS-native or Databricks-on-AWS — fixed scope + fixed price in 6, 8, or 12 weeks. AWS-native stack: Amazon S3, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon Athena, Amazon SageMaker. Databricks-on-AWS stack: Delta Lake, Unity Catalog, Delta Live Tables, MLflow, Databricks SQL — deployed into customer AWS account with private networking + customer-managed keys. Tier 1 includes a 5-year TCO model and stack decision record.
    • Audit-ready evidence pack with policy-as-code access controls, column- and row-level security, PHI/PII/PCI tokenization, and end-to-end lineage. Mapped line-by-line to HIPAA Security + Privacy Rules, 21 CFR Part 11, HITRUST CSF v11.2 AI Security, NIST AI RMF 1.0, ISO/IEC 42001:2024, SOC 2 Type II, EU AI Act Article 10, GDPR, Gramm-Leach-Bliley Safeguards Rule, and PCI DSS v4.0. Industry use cases: healthcare X12/HL7/FHIR, FSI core-banking, insurance, life-sciences CDISC SDTM
    • AWS Select Tier Services Partner + Databricks partner + Anthropic Claude Partner Network member (approved April 2026). Stack-neutral — methodology recommends best-fit stack with documented 5-year TCO. Tier 3 includes feature store, ML pipeline pattern, DataOps framework, FinOps guardrails, DR, audit evidence package, and enablement for up to 10 internal engineers. Customer pays AWS directly + Databricks directly for consumption; Kriv fees cover PS only. Methodology, not legal advice

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    Support

    Vendor support

    Primary support contact: info@kriv.ai  · +1 732 433 5564 · https://kriv.ai/support 

    Response SLA: Kriv AI responds to AWS Marketplace inquiries within 2 business days during US business hours (Eastern Time, Monday–Friday). Engagement-active SLA: P1 incident 4 business hours, P2 1 business day, P3 3 business days.

    Customers receive a dedicated shared Microsoft Teams or Slack channel with named engagement lead at kickoff for the duration of the 6 / 8 / 12-week engagement. Weekly written status with burn-down against SOW. Escalation to Kriv engagement partner within 24 hours on request. Tier 3 includes named platform engineer pairing for the enablement track.

    Hours of operation: Monday–Friday 9:00 AM – 6:00 PM Eastern Time (US). Off-hours messages acknowledged the next business day. Critical-incident contact provided in kickoff packet. Hypercare retainer customers receive extended weekly office hours