GenAI & Agents
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Think it. Build it. Deploy it.
From AI workflows to full AI agents, Sparkflows enables teams to design and deploy intelligent systems with a powerful low-code / no-code platform.
Visual Agent Builder
Design AI Agents using an intuitive drag-and-drop builder. Create RAG pipelines, orchestrate LLM interactions, and build multi-step AI agent workflows visually using Sparkflows processors.
Visual Agentic App Builder
Create AI-powered Agentic Apps using the no-code App Designer. Build chat assistants, copilots, and enterprise AI tools where workflows power the backend logic.
ML Model Builder
Build and integrate machine learning models directly into your AI workflows and agents. Create predictive models, apply feature engineering, and operationalize ML within real business processes.
Agent Orchestrator
Coordinate and manage multiple AI agents across complex workflows. Automate task execution, orchestrate agent collaboration, and connect enterprise systems to deliver end-to-end business outcomes.
How Sparkflows Agents Think
Unlike a chatbot that answers once and stops, every Sparkflows agent runs a continuous reasoning loop — planning what to do, taking action, checking the result, and refining until your goal is fully complete.
01
Reason
The agent reads your goal and figures out what to do next — choosing the right tool, data source, or sub-task automatically.
02
Act
It executes querying a database, calling an API, running a search, or triggering another agent, using Sparkflows enterprise connectors.
03
Observe
It executes querying a database, calling an API, running a search, or triggering another agent, using Sparkflows enterprise connectors.
The ReAct loop — Reason, Act, Observe — runs automatically inside every Sparkflows agent.
Explore Pre-Built Agent Templates
Explore pre-built agent templates for real enterprise use cases — from customer support and sales to marketing and analytics. Use them as-is or customize as needed, and deploy faster with minimal setup.
Market Entry Evaluator
Evaluate potential markets for expansion based on various business factors.
Sales
Description Generator
Generate product description based on given inputs.
Marketing
Open Role Tracker
Track companies hiring for specific roles in real time for lead generation.
Sales
Meter Data Agent
Extract meter details from images and validate automatically.
Analytics
Blog Generator
Create SEO-optimized blogs based on user inputs like product, tone, and keywords.
Marketing
Ticket Assignment Agent
Automatically classifies complaints and assigns tickets to the right technicians.
Customer Support
Build Intelligent Chat Assistants on Your Data
Interact with structured and unstructured data through intelligent chat. Build assistants powered by knowledge bases, LLMs, and enterprise data systems.
Chat with Enterprise Data
Query databases, documents, and APIs using natural language.
Visualize Data through Chat
Create charts and dashboards directly from prompts.
Summarize and Extract Insights
Generate summaries and key insights from documents, reports, and datasets.
Unify Structured and Unstructured Data
Combine files, databases, and APIs into a single conversational layer.
Analyze Data with Natural Language
Run analysis and get insights without SQL or coding.
Hybrid Memory & Knowledge Base:
Grounded assistants combine short-term context with long-term data retrieval.
VISUAL AGENT BUILDER
Design the Intelligence of AI Agents
AI agents in Sparkflows are powered by workflows that define how the agent retrieves data, processes information, and generates results. Using the visual workflow builder, teams can design multi-step workflows that combine AI models, data sources, and enterprise integrations.
Drag-and-drop workflow design
Multi-step AI workflows
Integrate enterprise data and services
Build the logic that powers AI agents
Incorporate LLM prompts & ML models
Task decomposition built in
Self critique loop
VISUAL AGENT IC APP BUILDER
Create the Agent Interface
Sparkflows also provides a visual agent builder for designing the user interface of AI agents. Using drag-and-drop UI components, teams can quickly create interactive agent experiences without building custom front-end applications.
Edit AI Agent
Accelerate Agent Development with Copilot
Use natural language to create agent workflows, automate logic, and move from idea to execution faster.
Create Agents with Prompts
Turn simple instructions into agents powered by structured workflows.
Generate Workflows and Pipelines
Build data, ML, and logic workflows without starting from scratch.
Automate Workflow Logic
Create and configure workflow steps and execution logic automatically.
From Idea to Execution Faster
Go from prompts to production-ready agents with minimal effort.
Power Your Agents with Leading LLM APIs
Integrate with leading LLM providers including OpenAI, Anthropic, Google, and Amazon Web Services to bring intelligence into your workflows and applications. Use models like GPT, Claude, and Gemini to build agents that understand, generate, and act on enterprise data—and seamlessly connect them to your systems for real-world execution.
Seamless Integrations
Connect AI agents to enterprise apps, data platforms, APIs, and cloud services—so LLM-powered intelligence can take action across your systems.
Monitor and Debug Agent Workflows
Gain visibility into executions, resolve issues, and improve how your agents run. Gain full visibility into how your agents think and act. Inspect every reasoning step, tool call, and output — and apply built-in guardrails that catch problems before they reach users: output validation, anti-hallucination checks, cost and token budget controls, and human-in-the-loop approval queues for high-stakes actions.
Monitor
Workflow Monitoring
Track executions, detect failures, and stay informed with alerts.
Diagonise
Logs and Execution Insights
Track executions, detect failures, and stay informed with alerts.
Fix
Edit and Fix Workflows
Update logic, adjust configurations, and resolve issues quickly.
Test
Test and Re-run Workflows
Re-run workflows and validate changes before deployment.
Guardrails at Every Step
Autonomous agents need boundaries. Sparkflows enforces controls at input, during planning, before tool calls, and before delivery — so your agents stay reliable, compliant, and on-budget.
Output Validation
Cost & Token Budget Caps
Anti-Hallucination Checks
Human-in-the-Loop Approvals
PII Detection & Redaction
Full Audit Trails
Deploy and Run Agents Anywhere
Build, deploy, and run AI agents across cloud, hybrid, or on-premise environments. Integrate with leading AI platforms and data systems while ensuring reliable execution, performance, and control.
Deploy Anywhere
Deploy across cloud, hybrid, or on-premise using GCP Gemini Enterprise, Azure AI Foundry, and AWS Bedrock.
Use Existing Data Platforms
Optimize Workloads
Execute pipelines on the right compute engine to balance performance, cost, and scalability.
Enterprise-Ready Architecture
Enable secure integration with enterprise systems while maintaining governance and control.
Get Started with AI Agents that Deliver Real Business Value
Build intelligent agents and GenAI applications that interact with enterprise data, generate insights, and support real-world decision-making.
Conversational AI over Enterprise Data
Create assistants and agents that understand your data and respond intelligently. Use LLMs and RAG workflows to answer questions, summarize documents, and generate insights from enterprise knowledge sources.
Intelligent AI Agents
Build agents that reason through tasks, interact with tools, and generate results using orchestrated workflows and LLM capabilities.
Accelerate GenAI Development
Start quickly using Sparkflows extensive library of processors designed for GenAI and agent workflows, enabling rapid development without coding.
Build AI Applications Without Code
Turn workflows into interactive AI applications using the no-code App Designer. Create copilots, assistants, and AI-powered tools for business users.