Agentic Capabilities
Deploy intelligent agents. Drive real-world automation.
Flexible AI Workflow Automation
for Data & ML Teams
Build with the precision of Python & Spark or the speed of drag-and-drop workflows. Deploy with on-prem control or cloud convenience. Sparkflows gives you the freedom to design multi-step AI agents, process large-scale data, and integrate with enterprise systems—all in one platform.
IT Ops can
Onboard employees faster with agentic AI handling access requests, ticket updates, and data provisioning—across all systems.
DevOps can
Run AI-driven CI/CD pipelines where agents watch logs, detect drift, trigger tests, and auto-retrain models when needed.
Sales Teams can
Use GenAI agents to blend CRM, feedback, and support data—turning raw text into actionable insights for customer growth.
The simplest way to finally
get GenAI & Agents working in your business
Orchestrate multi-step agents with your own tools
Design agentic AI workflows on a single canvas. Plug any LLM into Sparkflows and connect it with custom tools—build in minutes with drag-and-drop or code.
Chat directly with your enterprise data
Use Slack, Teams, email, or our embedded chat to query your own data, trigger tasks, and run workflows. Sparkflows makes your data conversational and actionable.
Run it anywhere – including your own AI models
Keep control of your data with full flexibility. Deploy on-premise or in the cloud, package with Docker, access source templates, and scale with 500+ integrations.
Most platforms make you pick between low-code or full-code. With Sparkflows, you can blend both effortlessly.
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Write Python, R, or SQL whenever you need deeper control
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Import external libraries to extend functionality instantly
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Embed APIs or cURL calls directly into your workflows
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Merge, branch, and customize workflows without restrictions
Build. Refine. Re-run.
Keep your development cycles short and smooth—just like your favorite scripts.
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Execute single steps without restarting the whole pipeline
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Replay or simulate data inputs to skip external delays
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Debug quickly with inline logs and error tracking
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Kickstart with 500+ ready-to-use processors and templates
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Adapt workflows continuously with instant feedback loops
Secure. Scalable. Team-ready.
Deliver automation at enterprise scale with the confidence your data deserves.
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Security: Full on-premise or private cloud deployment, SSO/SAML/LDAP, encrypted secrets, version control, granular RBAC
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Performance: Workflow history, audit logs, log streaming to external systems, custom variables, and external storage support
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Collaboration: Git integration, isolated environments, shared workflows, and smooth hand-offs between data scientists, engineers, and analysts
Think Data. Build AI. Scale Anywhere.
Fast enough to start in hours, powerful enough to scale enterprise-wide. Sparkflows lets you prepare, analyze, and operationalize data without limits.
Visual Building
A simple drag-and-drop interface for fast iteration where results are instantly visible.
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Build workflows with 500+ processors covering data prep, ETL, and machine learning.
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Use native components or extend with Python, R, or SQL for advanced customization.
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Seamlessly design AI agents and analytical apps without needing to code from scratch.
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Perfect for both everyday data automation and complex AI agent workflows.
Smart Monitoring
Stay in control across the full lifecycle of your data and models.
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Profile and validate datasets before use.
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Detect data drift and model drift automatically.
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Configure custom alerts for anomalies and errors.
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Compare workflow runs, track model performance, and monitor usage trends over time.
Secure & Scalable Deployments
Enterprise-ready from day one.
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Environments: promote workflows across dev, test, and prod with Git-based versioning.
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Deployment: run on-premises, air-gapped, or in the cloud (AWS, Azure, GCP, Databricks).
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Scalability: handle petabytes of data with batch or streaming jobs.
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Security: SOC 2 readiness, fine-grained access control, and secret management across platforms.