**Murphy, USA : ** Fynder.AI, a new entrant in the AI search space, is publicly launching today with a bold promise: to unify search, discovery, and task automation across jobs, products, travel, real estate, and more all through a single, AI-powered assistant.
The startup has quietly amassed over 15,000 organic users without any paid marketing. Backed by its own proprietary model, Pearl, Fynder.AI is positioning itself as a smarter alternative to generalized tools like Perplexity or Copilot, which the team says fall short on depth, structure, and task execution.
“Search is broken fragmented across verticals, platforms, and clunky interfaces. Fynder is our answer to that chaos,” says Hammad Ali, Fynder’s co-founder and COO. “We didn’t just want another chatbot or a rebranded search box. We built an AI that actually gets things done.”
Not Just Another LLM Wrapper
Fynder.AI is powered by Pearl, its in-house large language model with over 83 billion parameters tailored for vertical search, real-time aggregation, and deep contextual understanding. Unlike most consumer AI platforms that rely on general-purpose APIs, Fynder uses specialized models for each task: job search, travel planning, product comparison, resume analysis, and more.
Early benchmarks show that Pearl outperforms major players in GPQA and MMLU-Pro test sets while delivering lower latency and higher energy efficiency due to its streamlined architecture. The startup also emphasizes user privacy and has engineered the platform to run lightweight, isolated models for enterprise clients with minimal data retention.
From Search to Execution
Fynder.AI’s product feels more like a personalized assistant than a search engine. Users can ask it to find a job in a specific city, compare prices on flights and hotels, surface every available real estate listing, generate a blog draft, or get structured research on a health or finance topic all in one chat interface.
Key capabilities include:
Job search across all platforms with resume analysis and auto-tailoring Real-time flight, hotel, and rental booking with deep comparison Multilingual search, document analysis, and generative writing tools Marketplace discovery for products and services, including crypto and finance The company is also building out CMS plugins for Shopify and WordPress, and a multilingual roadmap to support global accessibility.
The Startup Behind the AI
Fynder.AI is fully bootstrapped to date, with a distributed founding team across the U.S. The team includes veterans from networking, consumer goods, digital marketing, and AI infrastructure. Despite zero VC funding so far, Fynder has built a functioning platform, generated strong early traction, and is now preparing to raise capital to scale. Without raising a dollar in venture capital, Fynder has already built a full product, grown organically, and onboarded thousands of users. Now, it’s preparing to scale.
The company is opening a funding round to raise up to $10 million. The funds will fuel model expansion, enterprise integrations, and new AI agents for sectors like HR, travel, real estate, and e-commerce. These plug-and-play AI modules can be fine-tuned and deployed via API giving enterprises a scalable edge. These models can be integrated via API and trained on client-specific data for private use.
A New Category: Functional AI Search
In a crowded field of generalized AI assistants and vertical marketplaces, Fynder.AI is carving out what it calls “functional AI search” a hybrid of real-time aggregation, deep understanding, and execution capability.
“AI should move things forward, not just talk in circles,” Ali adds. “Fynder doesn’t give you links. It gives you results — complete, contextual, and ready to act on.”
Visit https://fynder.ai to try the product or contact [email protected]
