Andi is a core participant in the 'agentic search' layer of the AI ecosystem. Unlike standard LLMs that rely on static training data, Andi functions as an active agent that browses the live web to find and verify information on behalf of the user. This makes it a significant tool for anyone building or using AI agents that require reliable, real-time factual grounding.
The company is active in the ecosystem through its search API, which allows third-party developers to integrate agentic search capabilities into their own applications. By providing a synthesis engine that focuses on factual accuracy and source attribution, Andi acts as a retrieval-augmented generation (RAG) utility. It is championing a move away from the 'ad-supported link list' toward a model where the agent performs the labor of research, letting users focus on the high-level application of that knowledge.
Andi is part of a small, aggressive cohort of startups betting that the era of the ten-blue-links search result is finally over. Founded in 2021 by Angela Hoover and Jed White, the company operates under the legal name LazyWeb Inc. and is headquartered in San Francisco. Andi is built on the premise that search is fundamentally broken, cluttered by advertising, SEO-optimized spam, and invasive tracking. Instead of returning a list of websites that might contain information, Andi uses generative AI to find, summarize, and explain that information directly to the user.
The product is structured as a chat interface where users can ask questions in natural language. While many generative AI tools struggle with hallucinations and outdated training data, Andi combines large language models with a live web index. This allows it to cite sources for every claim, a feature the company calls its transparency model. In internal and independent factual accuracy tests, the company claims an 87% accuracy rate, which they state exceeds the performance of Google, ChatGPT, and Perplexity.
Angela Hoover and Jed White launched Andi out of Y Combinator, bringing a background in tech journalism and product design to the problem of information discovery. Their approach is explicitly anti-surveillance. The platform does not use cookies, does not track searches, and does not sell user data to advertisers. This privacy stance is more than just a marketing angle; it is a technical constraint that dictates how the search engine is built, prioritizing anonymous sessions over personalized profiling.
The user interface is another point of departure from traditional search. Results are presented as visual cards and summaries rather than a wall of text. This visual search approach is intended to make information easier to digest at a glance, moving the engine closer to the 'AI brain' concept that many in the industry are chasing. The company has maintained a versioning system for its release, currently operating at v0.6.4, indicating an iterative, developer-led approach to product growth.
Andi sits in a crowded market alongside established giants like Google and newer, well-funded challengers like Perplexity and SearchGPT. To carve out a niche, Andi is leaning into two distinct paths: a high-quality consumer experience and a developer-facing API. The Andi API allows other developers to build their own search and answer capabilities using Andi's underlying engine, which suggests the company intends to be more than just a destination site.
While the consumer search market is notoriously difficult to monetize without ads, Andi remains ad-free. This creates a tension common in the AI ecosystem: the high cost of inference versus the desire for a clean user experience. The company has raised seed funding from investors including Gaingels, Goodwater Capital, and Acacia Venture Capital Partners to sustain this growth. As the AI agent ecosystem matures, Andi is positioning itself as a foundational layer for factual retrieval, focusing on the quality of its synthesis rather than just the breadth of its index.
An AI search agent that provides direct answers, visual results, and ad-free content.