Deploy intelligent agents. Drive real-world automation.
A collaborative environment for building and managing AI agents across the enterprise
Sparkflows Agents
Workflows Studio
Agent Builder
Orchestration
Agent Library
Agent Templates
Empower teams to create intelligent agents effortlessly
Enable business users and data teams alike to build AI agents using plain language. With native access to enterprise data and visual tools, agents stay aligned with business context—no complex setup required.
Intelligent agents that adapt and execute
Sparkflows' agentic framework enables agents to go beyond task execution—they reason, make decisions, and carry out end-to-end workflows dynamically based on real-time data and goals.
Enterprise-grade governance and scalability
Confidently deploy AI agents at scale with Sparkflows' robust governance framework, including built-in security, role-based access controls, audit trails, and monitoring—ensuring trust and transparency from day one.
Create Custom Generative AI Solutions with No-code / Low-code
Sparkflows empowers everyone to create and deploy AI-powered apps, agents and assistants with no-code and low code.
Design, Deploy, and Scale Sparkflows Agents across Teams
Choose from intelligent, pre-built agents to automate tasks, accelerate solution building, and empower every team. Start with ready-made templates or customize your own — all with no code or low code. Share agents across teams to drive consistency, productivity, and smarter decision-making at scale.
Connect AI agents to a wide range of tools for automation and insights within any app.
Orchestrate AI Agents Within Workflows
Run agents exactly when needed — on a set schedule, in response to key workflow events, or driven by smart insights — ensuring they align effortlessly with business operations.
Chat Assistant: Discover, Understand, Act
Search, analyze, summarize, and visualize information from your knowledge base—all through one easy-to-use, intelligent chat interface.
Search Across Enterprise Knowledge
Ask in plain language and instantly retrieve answers from documents and databases.
Visualize with Simple Prompts
Turn questions into charts and dashboards using natural language
Summarize Content in Seconds
Cut through the clutter—get quick takeaways from lengthy reports or chats.
Unify Structured and Unstructured Data
Connect files, databases, and tools to reveal hidden patterns.
Analyze without Writing Code
Get clear insights from complex data—no SQL or technical skills required.
Utilize the Prompt Library to Work Smarter
Use built-in or custom queries to work faster and stay consistent.
Dual-Powered Intelligence: Knowledge Base + RAG
Sparkflows combines a powerful Knowledge Base for structured content and advanced RAG technology for unstructured data. This dual-powered approach ensures that Sparkflows Agents deliver accurate, real-time answers—whether it's from organized files or scattered documents—right when you need it.
Guardrails for Secure, Smart AI
Agents and Chat Assistants in Sparkflows have built-in guardrails to ensure secure, reliable, and responsible operation. These safeguards prevent made-up answers, limit agents to safe, approved actions, and enforce clear, context-relevant responses.
Guardrails also ensure data privacy, compliance, and trust, so AI performs as expected—no surprises, just smart and secure execution across your business.
Generative-AI Platform
With Sparkflows Generative-AI Platform, you can effortlessly build optimized Retrieval-Augmented Generation(RAG) applications by harnessing the power of LLM models leveraging the 400+ processors.
It facilitates the development of data science analytics, chatbots, and statistical analytics on private knowledge warehouses and diverse datasets.
The platform supports both closed-source models like GPT and open-source models like Llama 2, Falcon-40B among others from the Hugging Face repository.
Hugging Face Integration
LLM models from Hugging Face can handle various Natural Language tasks, including Text Classification, Text Generation, Token Classification, Question Answering, Sentence Similarity, Summarization, Zero-shot classification, Translation, and Fill-Mask.
The inferences occur offline to ensure data security and mitigate risks like prompt injection, jailbreaking, and prompt leaking without any external API calls.
Vector Databases for Smarter Generative AI
Sparkflows integrates leading vector databases—Pinecone, Milvus, and Weaviate—to accelerate generative AI workflows and manage high-dimensional data effortlessly. Handle NLP embeddings, computer vision outputs, and recommendation models with enterprise-grade scalability.
By combining structured data with vector similarity searches, Sparkflows enables real-time retrieval, semantic search, anomaly detection, and hyper-personalized recommendations. Automated pipelines streamline vectorization, indexing, and optimization, ensuring production-ready AI performance.
Vector
Databases
Vector Libraries
Pure Vector Databases
Text Search Databases
LLM APIs
Sparkflows seamlessly integrates various LLM models from OpenAI, Claude, Google Gemini and Amazon Bedrock. Some of the popular models used by our customers are GPT-4, GPT-3.5-turbo-16k, Claude3, Claude2, Gemini, text-davinci-003, text-davinci-002, davinci, curie, babbage, and ada, by leveraging the power of the OpenAI, Claude, Google Gemini and AWS Bedrock API.
With this integration, users can utilize the GPT models to either query private Knowledge bases or directly interact with the GPT models for various language-related tasks like translation, summarisation, text classification among others.
Copilot
Sparkflows users can build workflows by providing prompts to perform various tasks.
Some of the tasks where the Sparkflows copilot empowers the users are - building data engineering pipelines, predictive modelling pipelines, compare models, data profiling, data quality and auto code generation for the pipelines.
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Gen-AI Enabled Solutions
Our vertical solutions leverage cutting-edge LLM models, leading in generative AI technology, to achieve precise and efficient results.
Powered by these state-of-the-art models, we enable sentiment analysis, text mining, and extracting valuable information to interpret emotions and opinions in textual data. Our Generative-AI solutions cater to market analysis, brand sentiment, and product recommendation systems, optimizing dynamic pricing, customer segmentation, and personalized shopping experiences.
Fine Tune LLM
Sparkflows No code Studio facilitates fine-tuning of LLM on personal datasets to customize responses. Both open-source models built in-house or from Hugging Face or elsewhere can be incorporated and fine-tuned on private data.
Even huge models like Llama 2 (60 Billion parameters) and Falcon (40 Billion parameters) can be fine-tuned efficiently. The process is less computationally intensive than LLM training and can be accomplished on a commodity GPU in a few hours or even a CPU on a laptop.
