At last, data analytics for everyone

Hal9.com enables teams to create customizable, secure AI solutions effortlessly with enterprise-ready features.
Hal9.com enables teams to create customizable, secure AI solutions effortlessly with enterprise-ready features.

About the product

Main idea

AI plays a pivotal role in Hal9.com by enabling users to effortlessly generate and deploy complex AI applications using leading open-source tools and models. The platform also leverages AI to offer AI-powered dashboard generation, data analytics solutions, and real-time insights, significantly reducing the time required for data-driven decision-making.

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Hal9.com enables users to create custom AI applications by providing all necessary engineering components like frontend, backend, and authentication, thus freeing users from non-AI tasks. The platform’s Python backend supports libraries such as LangChain and DSPy, allowing for the integration of powerful open-source tools. By giving users the ability to focus solely on AI tasks, Hal9.com helps in building sophisticated AI solutions.

Users can quickly generate assets such as interactive dashboards and data analytics with the help of powerful AI models. These assets can be easily shared or integrated within team workflows. The platform supports a wide range of data connections, ensuring that data remains secure and accessible for AI applications. By leveraging generative AI, Hal9.com augments users’ knowledge and improves productivity.

Key features

  • Customizable AI Apps: Build AI applications with varying complexity, including chatbots, using intuitive coding tools to accelerate project timelines.
  • AI Code Assets: Provides AI code assets like RAG and prompts that can be further fine-tuned to meet specific requirements.
  • Secure Data Integration: Enables secure architectures to keep data safe while making it accessible for generative AI applications.
  • Enterprise-Ready: A platform with enterprise-level features for quick and easy deployment of AI applications within organizations.
  • Python Backend: Supports powerful libraries like LangChain and DSPy, enabling the creation of complex AI solutions.
  • Real-Time Insights: AI-powered dashboard generation and data analytics to quickly gain actionable insights from data.
  • Wide Model Support: Compatible with various models and libraries, offering flexibility in building AI applications.
  • Easy Deployment: Simplifies the deployment process with straightforward commands and robust integration with technologies like Docker and Kubernetes.




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Test the skills on real cases

Potis works on automated behavioral interviews.
Candidates will be asked to give examples of how they handled situations in a real case.

Scenario environment

You are a Project Manager at Experlogix, a global software company specializing in Configure Price Quote (CPQ) solutions. You are currently leading a team of solution consultants, architects, team leads, and support team members. The company has recently acquired a new client in the life sciences industry who wants to implement the CPQ software for their complex configurable products and services. The project will involve both a waterfall-based discovery and solution design phase, followed by Agile-based modelling sprints. The client has high expectations for a seamless implementation and expects the project to be delivered within a specific timeframe and budget.

Role specificity

As the Project Manager, you are responsible for leading the project team and ensuring the successful delivery of the CPQ implementation. You have the authority to make decisions regarding project planning, resource allocation, and stakeholder management. You will work closely with solution consultants, architects, team leads, and support team members to define and develop appropriate solutions while managing expectations to deliver an incredible customer experience.",


Build your ideal assessment

Add a job description and the required skills, the service will automatically generate interview questions and create a case.

Anti cheat way to assess

Unlike online-tests, it’s impossible to prepare for behavioral case structured interview.
AI question

Clear & bias free talent scoring

Get useful information about every candidate: by hard/ soft skills, strengths and weaknesses.

01. Technical Skills:

  • Software development methodologies (e.g., Agile, Scrum, Waterfall)
  • Programming languages, databases, and other relevant technologies
  • Software testing and quality assurance
  • Software architecture and system design

02. Strengths:

  • Lead and communicate: clearly define goals, motivate teams, and resolve issues.
  • Plan and organize: keep projects on track, manage resources, and meet deadlines.
  • Solve and adapt: troubleshoot problems, manage risks, and adjust to change.

03. Weaknesses:

  • Limited technical depth: difficulty with complex technical issues or developer communication.
  • Micromanaging tendencies: stifles creativity and reduces morale.
  • Scope creep and conflict: challenges managing changing priorities and resolving disagreements.