Credal enables enterprises to deploy secure, collaborative AI Agents to handle multi-step workflows across an organization’s tools, data and subject matter expertise. Agents can autonomously call other agents and take action while respecting data permissions.
Hey there! Ravin & Jack here from Credal. We’re very excited to be launching the world's only multi-agent platform where Agents collaborate across your tools while respecting the data permissions in your systems.
When a user or API call invokes an agent, it can autonomously call other agents for assistance, all while enforcing enterprise-grade governance, risk, and compliance (GRC) policies.
This composability moves beyond single-agent AI to allow for scalable and secure AI adoption in the enterprise. There are a ton of use cases, including but not limited to KYB checks, vendor contract analysis, customer support automation, training across teams, and much much more.
Try it out today at app.credal.ai, and let us know if you have any feedback!
Credal is an innovative and powerful solution for enterprises. Its ability to deploy secure, collaborative AI Agents that can handle complex workflows across various tools and data sources is a game-changer. The autonomy of agents to call other agents while respecting data permissions adds an extra layer of security and efficiency. This tool has the potential to significantly enhance productivity and streamline operations in organizations of all sizes.
Wow, this is really cool – def something I can use across our AI powered workflows at DataLemur. Congrats Richad & the whole Credal team on the launch!
This is sick, love the implementation of multi agents here. I've run into issues with llms getting overwhelmed with the amount of functions I throw at them, so grouping these actions together in independent systems makes a lot of sense to me. Visualization is pretty neat as well 👀
Congrats on the launch! With agents calling agents, curious how you all think about alignment w/ user intent?
Credal’s multi-agent platform is such a cool solution for enabling seamless collaboration across tools while keeping data secure and compliant—this could really streamline operations in enterprises! What’s been the most surprising use case you’ve seen so far that you didn’t initially expect?
Love the ‘agents calling agents’ concept. How do you prevent recursive loops or conflicting actions? Is there a built-in protocol for resolving disputes between agents with competing priorities?
I think businesses would love to use this tool to have agents take actions across tools easily
“Secure agents that collaborate and take action across tools”
Multi-Agent Builder launched on Product Hunt on March 20th, 2025 and earned 296 upvotes and 22 comments, placing #5 on the daily leaderboard. Credal enables enterprises to deploy secure, collaborative AI Agents to handle multi-step workflows across an organization’s tools, data and subject matter expertise. Agents can autonomously call other agents and take action while respecting data permissions.
Multi-Agent Builder was featured in Productivity (649.7k followers), SaaS (41.5k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 272.7k products, making this a competitive space to launch in.
Who hunted Multi-Agent Builder?
Multi-Agent Builder was hunted by Ravin Thambapillai. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Multi-Agent Builder stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ravin Thambapillai