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Workflow Automation · Agents Orchestration Frameworks

GenFuse AI

GenFuse AI is a no-code automation platform for non-technical teams: you describe a process in plain English and a co-pilot named Gen builds the workflow on a visual canvas, connecting Gmail, Google Sheets, HubSpot, Slack and Notion.

Active Free plan Freemium No public API 13+ Verified by Guidaio
Overview

What is GenFuse AI?

GenFuse AI is a no-code AI workflow automation platform published by an Indian company based in Bangalore. Its central claim is Text to AI Automation in Seconds: rather than assembling blocks by hand, the user describes an objective in plain English and a conversational co-pilot named Gen builds the complete workflow on a visual canvas. The home page states the position bluntly, promising automations built “using natural language prompts - not drag and drop”, with “no technical skills required”.

Every step of a finished workflow is written in readable English rather than platform jargon: no iterators, routers, aggregators or expressions to learn. That is the explicit argument of the three comparison pages the publisher devotes to Zapier, Make.com and n8n.io. The product also goes past simple if/then chaining, since AI agents can reason over a step, extract data, classify records, analyse sentiment and personalise content.

The library ships 173 ready-made templates sorted into ten families: Sales, Marketing, Document Processing, Research, Customer Support, Web Scraping, HR, Education, Financial and Other. Building blocks visible on those templates include an LLM node, a PDF OCR Reader, Scrape Website, Google Search, a Manual Trigger, a Schedule trigger and flow control. The LLM node can call OpenAI, Claude, Google Gemini, Perplexity or Groq. Connected applications shown on the site include Gmail, Google Sheets, Google Calendar, Google Drive, Google Docs, Google Forms, HubSpot, Slack, Notion, Airtable, Typeform, LinkedIn and CoinMarketCap, while the Pro tier advertises 2,500+ tools and 10,000+ actions.

Showcase workflows on the home page cover lead enrichment in Google Sheets, a daily meeting digest, email logging into a CRM, a landing-page audit, customer onboarding and social content writing.

The delivery scope is deliberately narrow: GenFuse AI is a web product only, with no mobile application, no browser extension and no publicly documented API. It was founded by two former Google engineers, Sayoni Dutta Roy and Kshitiz Kumar, on the observation that inside Google the powerful automation platforms were designed for engineers rather than for teams, while the easy tools were not powerful. The domain was registered on 2 October 2024, the day of its first Wayback capture.

What it does

  • Describe an automation in plain English and have the Gen co-pilot build it on a visual canvas
  • Start from one of 173 ready-made templates and adapt it to your own process
  • Connect Gmail, Google Sheets, HubSpot, Slack, Notion and Airtable inside a single workflow
  • Have an AI agent reason over a step: extract data, classify records, analyse sentiment, personalise content
  • Extract text from PDF documents with the PDF OCR Reader node
  • Scrape a web page and run Google searches from inside a workflow
  • Schedule a workflow to run on its own, then edit or debug any step by talking to the co-pilot
Audience

When to use GenFuse AI / When not to

A quick filter to help you decide if GenFuse AI is the right fit.

When to use GenFuse AI

  • Non-technical operations and process managers who can describe a procedure but not build one: the publisher states that no technical skill is required to use the builder.
  • Small sales and marketing teams automating lead enrichment, CRM logging, outreach follow-up and content production across Google Sheets, HubSpot and Slack.
  • Teams that found Zapier, Make or n8n too technical: every step here is written in plain English instead of routers, iterators and expressions.
  • Customer support, HR and finance teams with repetitive document and form handling, covered by the PDF OCR, web scraping and AI extraction nodes.
  • Startups and small businesses on a limited budget: a permanent free tier of 500 credits per month, then a first paid tier at USD 15 per month.

When not to use GenFuse AI

  • Organisations with a formal vendor-security process: no terms of service page is published (/terms returns 404), and no SOC 2, ISO 27001, data processing agreement or sub-processor list exists anywhere on the site.
  • Developers who need to drive the platform programmatically: no public API documentation is published, and robots.txt blocks the internal /api/ path.
  • Teams with data-residency requirements: no hosting country or region is disclosed, and the privacy policy places the agreement under Indian law with exclusive jurisdiction in Bengaluru.
  • Mobile-first users: GenFuse AI is a web product only, with no iOS or Android application and no browser extension.
  • High-volume automation programmes: the free tier caps at 500 credits per month and Starter at 5,000, so sustained use moves quickly to Pro at USD 150 per month, where the 2,500+ advanced tools are also held.
Get started

How to use GenFuse AI

A typical end-to-end flow, from setup to results.

  1. Create an account on the sign-up page, or sign in with a Google account; no credit card is required to start.
  2. Choose a starting point: describe your objective to the Gen co-pilot, or open one of the 173 templates.
  3. Let the co-pilot lay the workflow out on the visual canvas, step by step, each step written in plain English.
  4. Pick a trigger: a new Google Sheets row, a new Gmail message, a form submission, a Google Calendar event, a manual run or a schedule.
  5. Authorise the third-party accounts the workflow needs, from Google and HubSpot to Slack and the rest.
  6. Add the AI steps required: an LLM node with the model of your choice, PDF OCR Reader, Scrape Website or Google Search.
  7. Review each step, then refine or debug it by talking to the co-pilot, or edit it directly on the canvas by drag and drop.
  8. Run the workflow manually to check the output, then schedule it once it behaves as expected.
  9. Track credit consumption against your tier's monthly allowance, and change tier if you run short.
  10. Get help from the open Discord community on the free tier, or book a demo from the button in the header of any page.
Quick read

Pros & Cons

Pros

  • Very short learning curve as claimed by the publisher: you describe the process, the AI builds it.
  • Every step reads in plain English, so a workflow built by one person can be picked up by anyone else on the team.
  • 173 templates across ten business families remove the blank-page problem on day one.
  • Permanent free plan with 500 credits per month and unlimited access to the workflow builder.
  • Low entry point for the category at USD 15 per month, billed monthly and cancellable at any time.
  • Several model providers, OpenAI, Claude, Gemini, Perplexity and Groq, usable within the same workflow.
  • Workflow scheduling included from the free tier rather than held back as a paid feature.

Cons

  • No terms of service: /terms returns 404, leaving the privacy policy as the only contractual document published.
  • Corporate-name discrepancy: the footer names GenFuse AI Private Limited while the privacy policy attributes the platform to NextFuse AI Private Limited.
  • No verifiable security commitment: no SOC 2, no ISO 27001, no data processing agreement, no sub-processor list, and no hosting region announced.
  • A very broad licence is granted to the publisher over the data users provide.
  • No public API and no mobile application, so the product cannot be embedded in a wider technical setup.
  • Wide gap between tiers: 5,000 credits on Starter against 50,000 on Pro, for USD 15 against USD 150 per month, with the 2,500+ advanced tools reserved for Pro.
  • Email support only from the Starter tier upward, with no support address published: contact runs through an external Google Form. The value of a credit and the home-page FAQ answers are rendered in JavaScript and absent from the page source.
Pricing

Pricing & Plans

GenFuse AI operates on a freemium model. A permanent free plan is available at no cost, with 500 credits per month and no credit card required to start. The lowest paid entry point is the Starter plan at USD 15.00 per month; the Pro plan is USD 150.00 per month, and the Enterprise plan is priced on quotation. All plans are billed monthly and can be cancelled at any time. No annual price and no annual discount are displayed.

Plan 1
  • Free — USD 0 per month — 500 credits per month
  • unlimited access to Gen
  • the workflow builder
  • all nodes
  • all LLM models and a limited tool set
  • workflow scheduling
  • community support
Plan 3
  • Pro — USD 150 per month — 50
  • 000 credits per month
  • unlimited access to Gen
  • all nodes
  • all LLM models
  • 2
  • 500+ tools and 10
  • 000+ actions
Plan 4
  • Enterprise — custom pricing — uncapped credits
  • custom integrations
  • a dedicated GenFuse AI expert
  • on-premise deployment support
  • dedicated Slack support
  • access through the contact form
Prices and plans listed above may evolve. Always check the official pricing page before subscribing.
Trust & Privacy

Data, GDPR & hosting

A consolidated view of how GenFuse AI handles your data.

GDPR overview

GenFuse AI makes no GDPR claim: the term appears nowhere on the site outside third-party template descriptions, and the publisher neither asserts nor denies compliance. Its privacy policy, effective 7 December 2024, states that it is “governed by your rights as per applicable law within the territory from where you access our Offerings”, then places the agreement under Indian law with exclusive jurisdiction in the courts of Bengaluru. Rights close to the GDPR catalogue are offered: consenting to or refusing the use of data, restricting disclosure to third parties, managing retention, requesting rectification, withdrawing consent, and requesting erasure or anonymisation. They are exercised by writing to a nodal grievance redressal officer appointed under India's Information Technology Act, 2000, not to a Data Protection Officer under Article 37. No Article 27 EU representative is designated, no data processing agreement is offered, and no sub-processor list is published.

Who owns the data?

The privacy policy in force since 7 December 2024 is the only contractual document GenFuse AI publishes; no terms of service exist alongside it. Users warrant that they hold the rights to the data they submit and, in submitting it, grant the publisher a broad licence, without financial consideration, to use, modify, display, distribute and create new material from that data. The publisher states that it does not sell data to any third party under any circumstance, but reserves the right to use, license, reproduce, distribute and disclose aggregated non-personally-identifiable data, and to delete or destroy, at its sole discretion, any data it deems contrary to the policy.

Reuse rights

Account data collected includes name, email address and, when signing in with Google, the Google profile picture, plus, depending on the case, first and last name, location, postal or business address, mobile number and postal code. Inside the product, the publisher collects the user's inputs, uploaded files and the outputs generated by the platform, together with automatic technical data: server logs, IP address, browser type, access domain, requests and responses, and device model. It states that it does not collect the contacts stored on the device. The declared purposes are broad: user experience, troubleshooting and maintenance, improvement of existing offerings, development of new products, order fulfilment, user identification, communication and handling of requests, special offers with an unsubscribe option, personalised content, optimisation of operations and security, marketing and commercial communications, protection of the publisher's rights, user safety, legal defence and legal compliance. No published document sets out what the user may in turn do with the outputs the product generates: with no terms of service, the question of the end user's reuse rights is simply not addressed.

Data retention & training

Retention summary
GenFuse AI publishes a principle rather than a schedule. Its privacy policy, effective 7 December 2024, states that it takes reasonable steps to keep user data available only for as long as is necessary for the purpose for which it is processed, or longer where required by applicable law, subject to appropriate safeguards. No duration is quantified, and no deletion deadline after account closure is given. The publisher states that all data collected and stored is de-identified, and that the user consents to that de-identified data being used freely, with no restriction other than legal ones. Users may manage retention, request rectification, withdraw consent and ask for erasure or anonymisation, by writing to the grievance officer. The publisher also reserves the right, at its sole discretion, to delete or destroy data it considers contrary to the policy.
Trains on customer data
Unclear
GDPR contact

Hosting summary

GenFuse AI discloses no hosting country and no hosting region anywhere on its site. The privacy policy, effective 7 December 2024, offers only two technical statements: user data is stored in access-controlled facilities with restricted access, and data transmitted over the internet is protected by SSL or an equivalent protocol. The publisher adds explicitly that no method of transmission or storage is completely secure, and gives no absolute security guarantee. No cloud provider, no region and no data-residency option is named, and no sub-processor list exists. Jurisdiction is the only firm element: the policy is governed by Indian law, with exclusive jurisdiction given to the courts of Bengaluru, where the publisher is registered. One network indication should not be mistaken for a disclosure: the domain resolves to 216.239.36.21, an anycast address in AS15169 (Google LLC), which tells you where the marketing site is served from, not where product data is stored. Buyers with data-residency requirements will find nothing here to satisfy them.

Watch-outs

Things to keep in mind

Risks and trade-offs to weigh before adopting GenFuse AI.

  • The corporate name is inconsistent: every page footer reads GenFuse AI Private Limited, while the privacy policy attributes ownership and operation of the platform to NextFuse AI Private Limited. Nothing on the site settles which entity you would be contracting with.
  • No terms of service are published, /terms returning 404, so the privacy policy is the only document framing the relationship, including on liability, service availability and account termination.
  • The licence granted to the publisher over the data you provide is very broad: use, modification, display, distribution and creation of new material, with no financial consideration in return.
  • The publisher takes no explicit position on whether customer data is used to train models, and documents no opt-out. Treat confidential or regulated content as unsuitable for the platform until that is clarified.
  • No data processing agreement, no sub-processor list, no certification and no declared hosting location. Indian law applies and the courts of Bengaluru have exclusive jurisdiction, a long way to go for a European or American dispute.
  • The publisher reserves the right to update or modify the privacy policy at any time without prior notice, with immediate effect: the terms you accepted may not be the terms that apply tomorrow.
  • Because the co-pilot builds and the agents reason, it is easy to ship automations nobody on the team fully understands. Keep a human review step on anything consequential, all the more so as no support address is published and the pricing page's own meta description advertises 100 free credits where the Free tier shows 500.
Setup

Setup & Integrations

Technical difficulty

Low. The publisher states that no technical skill is required: create an account, with no credit card asked for, then either describe your objective in plain English or open one of the 173 templates. The real setup effort is administrative rather than technical, since each third-party application used in a workflow must be authorised with its own account, making access to the relevant Google, HubSpot or Slack workspaces the practical prerequisite. Steps read in plain English and debugging happens by conversation with the co-pilot. Note that the product interface is available in English only.

Deployment

Web app

Integrations

Gmail Google Sheets Google Calendar Google Drive Google Docs Google Forms Google Search HubSpot Slack Notion Airtable Typeform LinkedIn CoinMarketCap OpenAI Claude Google Gemini Perplexity Groq
Company

Behind GenFuse AI

Company name
GenFuse AI Private Limited
Founded
02/10/2024
Country of origin
🇮🇳 India
Headquarters
UNIT 101, OXFORD TOWERS, 139, HAL OLD AIRPORTS RD, H.A.L II Stage, Bangalore North, Bangalore- 560008, Karnataka, India
UBO
Sayoni Dutta Roy; Kshitiz Kumar
UBO country
🇮🇳 India
Domain registrar country
🇱🇹 Lithuania

Fundraising

No funding round is announced on the site or anywhere else. As consulted on 23 August 2026, Tracxn and Dealroom both list GenFuse AI as an unfunded company.
GetLatka, consulted on the same date, describes growth achieved without outside capital, with a team reported at three people.
The company was incorporated in 2024 in Bengaluru, India.

Social

Official links

Resources

All the official URLs gathered for verification and reference.

Compare

Alternatives

Tools that compete with or complement GenFuse AI.

Z ZapierM MakeN n8nU UiPathW WorkatoM Microsoft Power AutomateP PipedreamA ActivepiecesB Bubble.ioA ASCN No Code
FAQ

Frequently asked questions

Do I need to know how to code to use GenFuse AI?
No. The publisher states that no technical skills are required: you describe the process you want to automate in plain English and the Gen co-pilot builds the workflow. Every step of the finished workflow is written in readable English rather than in technical expressions.
Is there a free plan?
Yes, and it is a permanent free plan rather than a time-limited one. The Free tier costs nothing, includes 500 credits per month and unlimited access to the workflow builder, and requires no credit card to get started.
How much does the first paid tier cost?
Starter costs USD 15 per month for 5,000 credits per month. Pro costs USD 150 per month for 50,000 credits, and Enterprise is priced on quotation with uncapped credits. Billing is monthly and can be cancelled at any time.
Which applications does GenFuse AI connect to?
The site shows Gmail, Google Sheets, Google Calendar, Google Drive, Google Docs, Google Forms, HubSpot, Slack, Notion, Airtable, Typeform, LinkedIn and CoinMarketCap. The Pro tier advertises more than 2,500 tools and 10,000 actions.
Which AI models can I use inside a workflow?
The LLM node can call OpenAI, Claude, Google Gemini, Perplexity and Groq. All LLM models are advertised as available on every tier, including the free one.
Is there a public API or a mobile app?
No. The site publishes no API documentation, and there is no iOS or Android application. GenFuse AI is a web product only.
Is GenFuse AI GDPR-compliant?
The site makes no such claim. No Article 27 EU representative is designated, no data processing agreement is offered and no sub-processor list is published. The privacy policy, effective 7 December 2024, places the agreement under Indian law with exclusive jurisdiction in the courts of Bengaluru.
What is the minimum age to use the service?
The offerings are not intended for anyone under 13, and users under 18 are required to use the service under parental supervision.
How do I contact the publisher?
Through the Contact Us Google Form linked from the site and through the open Discord community. The only email address published is kshitiz@genfuseai.com, which belongs to the nodal grievance redressal officer for data matters.
Who publishes GenFuse AI?
An Indian company based in Bangalore, founded in 2024 by two former Google engineers, Sayoni Dutta Roy and Kshitiz Kumar. Note that the site footer names GenFuse AI Private Limited while the privacy policy attributes the platform to NextFuse AI Private Limited.
Conclusion

Should you pick GenFuse AI?

GenFuse AI arrives on a crowded market with a clear and genuinely differentiating proposition: conversation replaces drag and drop. Describing an objective in plain English and getting a working workflow on a canvas is a real shortcut for teams that have bounced off Zapier, Make or n8n, and the fact that every step stays readable in English makes a workflow transferable between colleagues rather than owned by whoever built it. Pricing is legible and accessible: a permanent free tier of 500 credits per month, a Starter tier at USD 15 per month, monthly billing and cancellation at any time, with workflow scheduling included from the free tier.

Application coverage is still centred on the Google ecosystem plus HubSpot, Slack, Notion and Airtable, which suits small teams already working there and suits a wider or more specialised stack far less. The clear weak point lies elsewhere: contractual documentation and compliance guarantees. There is no terms of service page, no data processing agreement, no certification and no disclosed hosting location, and the corporate name in the footer does not match the one in the privacy policy. The licence the policy takes over user-provided data is unusually broad, and the publisher's position on model training is nowhere stated.

The publisher is young, unfunded and small, with a domain registered in October 2024 and a team reported at three people. For an individual, a freelancer or a small team automating low-sensitivity work, GenFuse AI is worth the detour, and the free tier costs nothing to test. For a regulated organisation, a company with data-residency requirements, or any buyer whose procurement requires a signed DPA and a security questionnaire, the file is not currently complete enough to sign.