The AI-Driven Agent Platform

Understand the context. Make better strategic decisions.

Base on the LLMs model intelligence platform called Constellation, which automatically detects, analyzes and measures risk, and gains context around the impact of emerging narratives to provide clarity for critical decision-making.

The Platform Processing

Reveal

With high quality and speed, Consistent integration with partner business packages makes it easy for businesses to adopt new technology without cost barriers.

Analyze

Understand the mechanisms across 25+ languages in text, images, and memes. The ability to deploy AI models to predict business outcomes.

Measure

This helps businesses gain an overview of market trends and make more effective strategic decisions.

Security

AI Agent is committed to protecting 100% of business data, ensuring that sensitive information is always kept confidential.

Actions, AI-Driven Agents Managing Intelligence

Transforming business operations

Our Dashboard enables visual investigation by providing a dynamic, real-time view of signals feedback into systems. A distinguishing feature of AI agents is their ability to learn and improve over time. By leveraging Large Language Models (LLMs), these agents refine their capabilities through continuous interaction, becoming more advanced and effective in their roles. Their autonomy allows them to handle complex, unpredictable tasks without constant human intervention.

AI development have made it possible to create sophisticated AI agents without requiring extensive technical skills. This democratization of AI technology has enabled businesses and individuals to optimize processes and boost productivity. Compared to rigid, rule-based systems like Robotic Process Automation (RPA), AI agents offer significantly more flexibility and adaptability, making them suitable for wider applications.

Simple Action Model

Basically showcasing how straight forward it is to build Agent AI applications in 100% Java, Python. An autonomous agent by utilizing Agentic AI scripts which are a specialized form of these intelligent systems, designed specifically for enterprise AI applications. While retaining the core capabilities of autonomy and adaptability, scripts can operates within a controlled framework, executing tasks and making decisions that align with predefined business rules and objectives

Features

AI Agent Processor: Execute actions based on prompt Mistral, OpenAI, Gemini, Anthropic, DeepSeek
Image Processor: Trigger actions based on images [here]
Autonomous AI Agent: Execute tasks based on scripts [here]
Dynamic Report By Agent: Execute tasks based on scripts to build the data package and create the dashboard [here]
Tracking data warehouse by Text: following the [here]
Image to Text: Convert images to text [here]
Image to Json: Convert images to Json [here]
Image to XML: Convert images to XML [here]
Selenium AI Agent: Execute actions based on Selenium script [here]
AI Agent Integration: Integrate with Framework [here]
Script Processor: Execute tasks based on scripts [here]
Http Actions: Execute actions based on HTTP requests [here]
Prompt Processor: Execute tasks based on prompts [here]
Prompt Transformer: Convert prompts into various formats ( Python, Java , Json , XML) [here]
Custom GSON: Convert special values in prompts [here]
Subprompt Processing: Break prompts into multiple subprompts [here]
Human In Loop Validation [here]
Explainablity [here]
Kubernets Integration [[here]]( [here]
Multi Command Processor [here]
Hallucination Detector [here]
Bias Detector [here]
Database Actions
Custom Actions
Custom Selenium Actions
Custom HTTP Actions
Custom Shell Actions
Custom Swagger Actions

Integration

Integrate examples with LLM using RAG, Langchain, Gpt4All, DeepSeek model Huggingface pipeline, LamaIndex, Ollama, Llama.cpp