HelperAI provides a low-code platform for building and deploying custom AI agents capable of automating routine online business tasks. These virtual workforces integrate with existing data sources and software via APIs to handle functions like 24/7 lead generation and customer support. The platform supports multiple LLMs and offers DevOps features for streamlined deployment and performance management.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FTFounders
Product
Problem
Many businesses spend countless hours on routine online tasks such as customer support, lead generation, and data processing, leading to high operational costs and potential scalability issues. Automating these tasks can be complex, requiring significant development time and expertise in areas like data preprocessing, API integration, and natural language processing.
Solution
HelperAI is a low-code platform that enables businesses to create customized AI agents to automate a wide range of online workflows. The platform simplifies the process of connecting to various data sources and integrating with internal and external APIs, allowing users to build AI-powered solutions without extensive coding. HelperAI agents can handle tasks such as customer support, lead generation, sales outreach, and data analysis, operating 24/7 to improve efficiency and reduce operational costs. The platform supports multiple large language models (LLMs) and offers features to mitigate hallucination, ensuring reliable and accurate AI performance.
Target Audience
HelperAI targets businesses looking to automate routine online tasks, including customer support, sales, marketing, and data analysis, particularly those seeking a low-code solution to reduce development time and operational costs.
Features
- Low-code workspace for designing and deploying custom AI agents
- Connects to various data sources, automatically handling preprocessing, vectorization, and segmentation
- Integrates with internal and external software or APIs using ChatGPT plugins or other tools
- Supports multiple LLMs, including GPT-4, Claude, Llama2, and Hugging Face models
- Proprietary LLMops evaluation pipeline to reduce AI hallucination
- Multimodal input handling for text, voice, and image data
- DevOps-focused features for versioning, deployment, and performance optimization
- OAuth2 integration for secure access control
- Event-driven architecture for real-time AI responses