Vignesh V

Vignesh V

Leading AI Automation @ Astreya
qRaptor

What's great

workflow automation (3)drag-and-drop editor (3)rapid prototyping (7)multi-agent workflows (6)low-code workflows (2)

qRaptor is the real deal. As a team focused on efficiency, we had two major bottlenecks: answering repetitive customer questions and manually verifying compliance documents.

  1. Automated FAQs: We fed our knowledge base into qRaptor and built an AI agent that now handles over 60% of our inbound support queries with accurate, context-aware answers. It's been a massive win for our support team.

  2. Compliance Validator: This was the most impressive part. We built an agent that cross-references internal documents against regulatory requirements. What used to take hours of manual, error-prone work is now done in minutes.

While developing solutions I have also found qraptor can :

  • Handles complex, multi-step workflows & AI Agents

  • Excellent for both internal and external-facing agents

  • Saves a significant amount of time and reduces human error

  • Incredibly fast to build and deploy

The platform is robust, flexible, and has genuinely changed how we approach internal tool development. Highly, highly recommend.

vs Alternatives

qRaptor is built from the ground up for the LLM era. You can leverage the best models (GPT-4, Claude, etc.) for reasoning, while ServiceNow's AI is primarily trained and optimized for its own platform's data and workflows.

  • Offer Low-Cost Alternatives: Clients demand affordable AI solutions with faster delivery, avoiding the high costs of proprietary platforms like ServiceNow.

  • Ensure Platform Independence: Customers prefer solutions that are not tied to specific platforms, enabling flexibility and avoiding vendor lock-in.

  • Address Skill Gaps: The platform’s no-code/low-code features allow non-specialized team members to participate in development, reducing dependency on AI experts.

  • Scale Operations: The platform’s support for multi-agent systems enables us to handle larger, more complex client projects efficiently, expanding our market reach.

Does the Data Vault meet compliance and encryption needs?

Yes. It is highly encrypted

How good is support and onboarding for enterprise teams?

Based on your licensing model, multi level support is offered

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