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    Trusted End-to-End AI Platform

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    Sold by: Blend 
    Blend designs and builds trusted end-to-end AI platforms on AWS, spanning analytics, dashboards, machine learning, generative AI, and agentic AI on a unified, governed data foundation. Every layer of the platform operates on the same trustworthy data, so dashboards, models, and agents stay aligned on what is true and decisions across the business draw from a single source of insight. Delivered by an AWS Premier Tier Services Partner against the AWS Well-Architected Framework, with engagements scoped from discovery through production handover.

    Overview

    Enterprises are building across the full AI value chain at once: dashboards and analytics for descriptive decision support, machine learning for prediction, generative AI for new kinds of output, and agentic AI for reasoning and multi-step automation. The value of that investment compounds when the entire chain is delivered as one connected, governed system rather than as separate stacks that drift apart over time. Blend designs, implements, and operationalizes a unified, scalable, and governed AI platform on AWS that carries data and trust from raw ingestion through to autonomous agents acting on it, so every layer of the platform operates on the same trustworthy information. The platform is organized around three connected layers on a single governed foundation:

    • Data and analytics: Lake House on AWS with real-time and batch integration, governance applied as default (lineage, access control, quality), and dashboards and business intelligence for descriptive and diagnostic decision support.
    • Machine learning and generative AI: predictive models, RAG patterns, and generative capabilities layered on the foundation, with MLOps practices that keep models reliable, monitored, and explainable in production.
    • Agentic AI: AI agents orchestrated for reasoning, multi-step automation, and context-aware decisioning, integrated into business workflows using reusable, preconfigured libraries that shorten implementation time and lower operational risk as automation progresses from assisted toward more autonomous patterns.

    Delivery follows Blend's applied-AI principles: transformation of core processes over isolated experimentation, systematic reuse of proven use cases and components, and acceleration of time to value through standardized internal capabilities and proprietary accelerators. Each engagement includes architecture reviews against the six pillars of the AWS Well-Architected Framework, with sectoral specialization in financial services, healthcare, public sector, and other regulated domains. Delivered by an AWS Premier Tier Services Partner holding AWS Competencies across Generative AI, Agentic AI, Data & Analytics, Financial Services, DevOps, and Migration, and recognized in AIM Research's PeMa Quadrant as a leading agentic AI provider in 2025. Engagements are contracted via private offer, with scope, deliverables, and milestones defined in an accompanying statement of work.

    Highlights

    • One platform for the full AI value chain: trusted analytics and dashboards, machine learning, generative AI, and agentic AI delivered on a single, unified, governed foundation on AWS, so every layer of the stack operates on the same trustworthy data and your dashboards, models, and agents stay aligned on what is true.
    • Governance applied as default: lineage, access control, quality, model and agent observability, and audit-ready reporting built in from day one, designed for regulated industries like financial services, healthcare, and public sector where every decision needs to be explainable and traceable.
    • Architected against the AWS Well-Architected Framework: every engagement includes reviews across the six pillars of operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability, supported by reusable accelerators that shorten time to value and lower operational risk.

    Details

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    Deployed on AWS
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    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Blend provides professional services support to AWS Marketplace customers throughout the engagement lifecycle, covering pre-sales inquiries, in-engagement issues and troubleshooting, service-level questions, and refunds or cancellations.

    Contact

    Email: awsmarketplace@Blend360.com 

    Pre-sales support

    Inquiries sent by email receive an initial response from Blend's AWS Marketplace operations team. During this stage buyers can request scoping calls, statements of work, security and compliance documentation, and references.

    Engagement support

    Once a private offer is accepted, Blend assigns a named engagement manager as the single point of contact for the duration of the engagement. Active engagements have access to support by email and through Blend's customer portal during local business hours, and by phone for incident-level issues per the agreed escalation path.

    Service levels

    Initial response and resolution SLAs vary by pricing dimension and engagement scope and are detailed in the statement of work attached to each private offer. Severity definitions and coverage hours are also defined in the SOW.

    Refunds and cancellations

    Refund and cancellation terms for professional services engagements are governed by the statement of work attached to each private offer rather than by a blanket policy, since scope, deliverables, and milestones differ by engagement.

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