Traversaal provides autonomous AI agents that automate the entire predictive modeling workflow, from data preparation to deployment and monitoring. These agents handle complex tasks like feature engineering and model selection, significantly reducing time-to-model from weeks to hours. The platform delivers explainable AI results with enterprise-grade security, augmenting data science teams for increased efficiency and accuracy in forecasting applications.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to efficiently access and leverage internal knowledge due to data silos and diverse formats, leading to wasted time and suboptimal decision-making. Traditional knowledge retrieval methods often fail to quickly pinpoint relevant information across various documents, applications, and data repositories.
Solution
Traversaal.ai offers a unified platform that enables organizations to deploy AI-powered knowledge retrieval solutions as APIs and SaaS products. The platform utilizes natural language processing (NLP) and machine learning (ML) to streamline access to proprietary information across diverse data formats, including PDFs, text files, logs, documents, sheets, and code repositories. By creating a knowledge graph from enterprise data, Traversaal.ai improves the relevance and speed of search results while reducing hallucinations. The platform provides personalized search and recommendation capabilities, along with the power of large language models (LLMs) for analysis.
Target Audience
Traversaal.ai targets enterprises seeking to enhance knowledge management, improve employee productivity, and accelerate decision-making through AI-powered search and recommendation solutions.
Features
- End-to-end GenAI platform that integrates advanced AI solutions tailored to specific business requirements
- Fine-tuned domain-specific knowledge retrieval copilot that efficiently scans through diverse data formats and applications
- Web-agent for internet retrieval, RAG powered by open-source and fine-tuned LLMs, and LLM inference with support for open-source and industrial LLMs
- Enterprise-grade security measures, including robust encryption protocols and multi-factor authentication
- Ability to connect across multiple data formats, applications, and domain-specific internet search for embedding
- Proprietary algorithm to create a knowledge graph from all data, improving relevance, latency, and reducing hallucinations
- Self-service APIs for lighting-fast retrieval