Augini allows developers to define intelligent agents capable of interpreting user inputs, invoking external APIs, loading context-aware memory, and producing coherent, multi-turn responses. Users can configure each agent with customizable toolkits for web search, database queries, file operations, or custom Python functions. The integrated memory module preserves conversation states across sessions, ensuring contextual continuity. Augini’s declarative API enables construction of complex multi-step workflows with branching logic, retries, and error handling. It seamlessly integrates with major LLM providers including OpenAI, Anthropic, and Azure AI, and supports deployment as standalone scripts, Docker containers, or scalable microservices. Augini empowers teams to rapidly prototype, test, and maintain AI-driven agents in production environments.

Autify Recorder simplifies the software testing process by enabling users to capture user interactions as test scenarios without needing programming knowledge. This innovative tool utilizes AI to help automate testing, making it accessible for both technical and non-technical users. By recording actions performed in web applications, Autify Recorder creates reusable test scripts. These can then be shared and executed, promoting efficient collaboration within teams. Ideal for organizations looking to enhance their testing processes, it reduces the time and effort spent on manual testing.

Ceylon AI leverages large language models to translate your infrastructure needs into executable code and API calls. Simply describe the environment or service you want in plain English, and Ceylon AI crafts Terraform scripts or invokes cloud provider APIs directly. It supports AWS, Azure, GCP, Kubernetes, and more. Built-in drift detection alerts you when live infrastructure diverges from your declared state. Cost estimation, security scans, audit logs, and policy enforcement ensure your environments remain compliant, optimized, and reliable throughout their lifecycle.