Sparkflows brings your AWS data, AI services, enterprise knowledge, and agent workflows together in one unified agentic AI platform—running securely on Amazon EKS and designed to take AI from development to production.
WHY SPARKFLOWS ON AWS
If you have AWS,
build your agents with Sparkflows.
Sparkflows connects AWS infrastructure, AI services, enterprise data, and agent orchestration into a single visual platform, so teams can build and deploy production-ready AI without stitching together disconnected tools.
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AI Agent & App Builder
Build and customize intelligent AI agents and enterprise applications visually, connecting agents, workflows, data, and business systems.
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AI Assistants
Create intelligent assistants and copilots that help users interact with enterprise data, applications, knowledge, and business workflows.
Workflow Orchestration
Build, automate, and scale agentic workflows that connect AI models, data, applications, and business processes.
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​Knowledge & RAG
Ground agents, assistants, and applications in enterprise knowledge using RAG, vector search, documents, and connected data sources.
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Monitoring & Governance
Manage agents, workflows, applications, and usage with centralized monitoring, administration, and governance.
AWS-Native Architecture
Run Sparkflows on Amazon EKS and connect directly with AWS AI services, data platforms, enterprise systems, and SaaS applications.
AWS DATA & KNOWLEDGE
Connect Enterprise Data Across AWS
Bring data, applications, documents, and enterprise knowledge into agent workflows with native connections to AWS data services and business systems.
Amazon S3
Access documents, files, datasets, and enterprise data stored in Amazon S3 as context for analytics, workflows, and AI agents.
Amazon RDS
Connect agents and applications to operational data stored in relational databases for intelligent analysis and decision-making.
AWS Glue
Integrate enterprise data pipelines and metadata with AI workflows to bring governed data into agentic applications.
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Enterprise Data Sources
Connect SAP, Oracle, Dynamics, and other enterprise systems to bring business data directly into AI workflows.
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SaaS Applications
Connect applications such as Salesforce, ServiceNow, and Zendesk to build agents that can work across enterprise processes.
NATIVE AWS AI
Built for the AWS AI Ecosystem
Bring foundation models, custom models, vector search, and AI services together with Sparkflows to build intelligent agents grounded in enterprise data.
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Amazon Bedrock
Connect to foundation models including Claude, Llama, Titan, and other models available through Amazon Bedrock.
Amazon SageMaker
Train, deploy, and integrate custom machine learning models into Sparkflows agent and workflow pipelines.
Amazon OpenSearch
Use vector search and semantic retrieval to ground agents with enterprise knowledge and build RAG applications.
Amazon EKS
Run the Sparkflows Agentic AI Platform on Amazon EKS for scalable deployment of agents, workflows, and AI applications.
Amazon S3
Use enterprise documents, files, and datasets stored in S3 as data and knowledge sources for AI workflows.
AWS Glue
Connect enterprise data integration and metadata capabilities with downstream AI and agent workflows.
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External LLMs
Connect external models such as OpenAI, Anthropic, Gemini, and other LLM providers alongside AWS AI services.
AWS Data & Enterprise Services
Bring together AWS data services, enterprise applications, APIs, and SaaS systems to create connected AI experiences.
100+ pre-built industry solutions
Accelerate time to value with prebuilt agentic AI solutions that connect to your AWS data, applications, and business processes, ready to deploy, customize, and scale across the enterprise.
AGENT & APP STUDIO
Anyone can build.
Azure runs it.
​One canvas for your whole team — Sparkflows routes processing to Fabric, Azure ML, and OpenAI automatically. Design, enrich, deploy, all from one place.
Drag-and-drop canvas
Azure OpenAI
Fabric Lakehouse
No code required
Agentic app builder
AKS deployment
BUSINESS VALUE
From AWS investment
to enterprise intelligence
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80+
Enterprise Connectors
Connect AWS services, enterprise systems, databases, SaaS applications, and business data to AI workflows with minimal integration effort.
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72+
Built-in ML Algorithms
Bring classification, regression, clustering, forecasting, and deep learning directly into agent and data workflows without separate ML infrastructure.
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100+
Prebuilt Solutions
Deploy ready-to-customize agentic AI solutions across industries and business functions—accelerating time to value from AWS data and enterprise systems.
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Platform for Everything
Build agents, AI applications, assistants, workflows, knowledge experiences, and ML solutions, all from one unified platform for enterprise AI.