Elicit
Accelerate research with AI that automates literature reviews and data extraction from academic papers.
Unified Multi-Model Intelligence for Advanced Research, Coding, and Content Engineering.
OnlineLab AI is a high-performance orchestration platform that centralizes access to world-class Large Language Models (LLMs) including GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro. In the 2026 landscape, it distinguishes itself through a specialized 'Research Mode' that integrates real-time web crawling with semantic document analysis, allowing users to synthesize high-fidelity academic and technical content with automated citation management. The technical architecture is built on a modular prompt-routing engine that optimizes model selection based on the specific complexity of the task—be it multi-language code refactoring, complex mathematical problem solving, or creative image generation. Unlike single-model ecosystems, OnlineLab AI provides a comparative workspace where outputs can be benchmarked across different architectures simultaneously. This makes it an essential tool for knowledge workers and developers who require heterogeneous AI outputs without the overhead of multiple individual subscriptions. Its 2026 positioning focuses on data privacy, offering localized processing for enterprise-grade document analysis while maintaining the agility of a cloud-based SaaS platform.
A single interface capable of switching between OpenAI, Anthropic, and Google models dynamically.
Accelerate research with AI that automates literature reviews and data extraction from academic papers.
Professional-grade browser intelligence and document synthesis agent for research-intensive workflows.
Extract core insights from academic literature in 15 seconds with AI-driven summarization.
Autonomous AI research agents that transform raw data into verified intelligence with zero hallucinations.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Advanced Retrieval-Augmented Generation for processing documents up to 200k tokens.
Real-time execution of code blocks within the chat interface for data visualization and math.
Deep-crawl capability that scrapes and synthesizes information from top-tier academic and news sources.
User-defined and community-shared templates for specific technical workflows.
Native support for complex mathematical notation and academic formatting.
Parallel processing of a single prompt through multiple LLM engines simultaneously.
Researchers struggle to digest hundreds of pages of technical literature quickly.
Registry Updated:2/7/2026
Legacy code needs modernization across multiple programming languages.
Marketing teams need high-quality localized content that maintains brand voice.