Posts by tag
The AI landscape in 2025 is no longer about who has the biggest model; it’s about who has the right model.
While general-purpose LLMs wowed us with poetry, code, and casual conversation, the world is now waking up to a …
In 2025, climate tech and AI are no longer operating in silos. They are merging to form a powerful engine for sustainability, risk intelligence, and operational transformation. And for startups focused on ESG (Environmental, Social, and Governance), this convergence is …
Why Native AI Demands a New Stack
In 2025, building AI products isn’t just about plugging in an LLM or calling OpenAI’s API. The most impactful AI tools we’re seeing today, from AI copilots to intelligent automation, are native by …
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, …
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, …
Input your search keywords and press Enter.
