Blog

Building Momor in public

How we're building Momor, what we're learning, and what we believe.

FEATURED

Glean vs. Momor: Enterprise Search vs. Workflow Orchestration

When organizations realize their internal data is fragmented, they usually look for an "Enterprise AI Search" tool. Glean is currently the most recognized name in this space, and that recognition is deserved — it has a mature connector ecosystem, serious permissions-aware retrieval, and years of enterprise deployments behind it. If your employees are wasting hours trying to locate files scattered across Slack, Google Drive, and Jira, Glean will help. It was built for exactly that.

The Momor Team Apr 10, 2026 3 min read
COMPARISON

Building Custom AI Agents (LangChain) vs. Deploying Momor

When an enterprise engineering team is tasked with bringing AI into their internal workflows, the instinct is often to build it themselves. They spin up **LangChain**, **LlamaIndex**, or **CrewAI**, connect a few APIs, and build a proof-of-concept agent in a weekend.

May 2, 2026 5 min read
ENTERPRISE AI

Moving Beyond Workplace Search: Synthesis vs. Retrieval

For the last decade, the enterprise data problem was treated as a search problem. Companies bought massive indexing platforms to scan SharePoint, Slack, and Salesforce, hoping that if an employee could just *find* the right document, the workflow would become efficient.

Mar 14, 2026 7 min read
COMPARISON

Best Search Engines in 2026: Complete Comparison Guide

**2026 is the year search stopped pretending AI was optional**. Google added Gemini 3 to AI Overviews. OpenAI launched ChatGPT Search to 800 million users. Perplexity hit a $20 billion valuation while getting sued by half the publishing industry. And a federal court ruled Google is a monopolist — then let them keep Chrome anyway.

Feb 14, 2026 14 min read
MANIFESTO

Apple Is Building World Knowledge Answers. So Are We.

Apple announced today that they are partnering with Google in a multi-year, billion-dollar deal to power something called World Knowledge Answers. The idea is to turn Siri into an actual answer engine - not just opening apps or setting timers, but understanding what you are asking and giving you a real response.

Jan 13, 2026 2 min read
MANIFESTO

Why Google Search Is Broken (And Why AI Won't Fix It)

Google's ten links are dead, and they have been dying for years. The results load in half a second, but finding your actual answer takes ten minutes. You click, scan, hit back, try another link, scan again, and piece it together yourself. Google did not make search fast. Google made their part fast and outsourced the rest to you.

Jan 10, 2026 4 min read
MANIFESTO

The Problem With Answer Engines in 2026

Answer engines were supposed to fix search. Instead of ten links and ten minutes of clicking, you ask a question and get an answer. Apple is building something called World Knowledge Answers. Perplexity has been at it for a while. ChatGPT taught millions of people to ask questions in full sentences. Google added AI Overviews above their link lists.

Jan 2, 2026 3 min read
COMPARISON

Best Search Engines in 2025: Complete Comparison Guide

**The search engine landscape has never been more competitive**. While Google still dominates with 89.6% of global market share, 2025 has brought significant innovations in AI integration, privacy features, and specialized search capabilities. Here's your comprehensive guide to the best search engines available today.

Sep 4, 2025 12 min read
VISION

The Future of Search: Why Context is Everything

Remember when asking your phone for restaurant recommendations felt revolutionary? That was quaint. Today's AI-powered search engines can write sonnets and explain quantum physics, yet they still can't figure out whether you should water your plants this afternoon. We've built machines that can simulate human conversation but somehow missed the most human thing about asking questions: we never ask them in a vacuum.

Sep 3, 2025 5 min read
PRODUCT

Search That Gets It: Why Context Beats Keywords

You know that moment when you're staring at search results that are technically correct but completely useless? Like when you search "should I go running today" and get articles about the benefits of exercise instead of whether it's actually a good day to run where you live. That's the moment we built Momor to fix.

Sep 1, 2025 4 min read