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Imagine if your team’s Notion pages, Confluence wikis, or SOP folders could talk back, guiding new hires, answering customer questions, and automating routine ops. That’s not a futuristic dream anymore. With recent advancements in RAG, vector embeddings, and language models, …
Startups are in a race to integrate AI into their products and operations. From automating support to building AI copilots, the possibilities are exciting, but not without pitfalls. At Brim Labs, we’ve worked with early-stage and scaling teams across FinTech, …
You Don’t Need the Internet to Build a Smart AI Agent
When people think of AI agents, they picture tools powered by vast web-scale data. But the most useful AI agents are trained not on the internet, but on your …
From Static Dashboards to Dynamic Intelligence
For years, SaaS products have relied on dashboards as the default interface for data insights. They provided visualized reports, metrics, and KPIs, great for slicing data, but often overwhelming and underutilized. In today’s fast-paced, …
For years, developers have warned about technical debt, the shortcuts taken in code that later become expensive to fix. But now, a new kind of burden is silently accumulating inside early-stage startups: data debt.
As startups race to integrate AI, …
Building an AI agent often seems like a game reserved for large enterprises swimming in oceans of data. But the truth is, startups can craft intelligent, useful agents even with a modest dataset, if they play smart. In this blog, …
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