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Posts by month

July 2025

11 posts
  • Artificial Intelligence
  • Machine Learning

AI x ESG: The New Playbook for Climate Tech Startups

  • Santosh Sinha
  • July 29, 2025
AI x ESG: The New Playbook for Climate Tech Startups

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 …

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What We Learned From Replacing Legacy Workflows with AI Agents
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  • Artificial Intelligence

What We Learned From Replacing Legacy Workflows with AI Agents

  • Santosh Sinha
  • July 24, 2025

Legacy Isn’t Just Old Code, It’s a Mindset

Every company has a legacy system.

Sometimes it’s an actual codebase from the 90s still powering mission-critical functions. But more often, it’s the way teams work, the stitched-together spreadsheets, the repetitive PDF …

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The Modern AI Stack: Tools for Native, Embedded Intelligence
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  • Artificial Intelligence
  • Machine Learning

The Modern AI Stack: Tools for Native, Embedded Intelligence

  • Santosh Sinha
  • July 22, 2025

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 …

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Why the Next Generation of Startups Will Be Native AI First
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  • Artificial Intelligence

Why the Next Generation of Startups Will Be Native AI First

  • Santosh Sinha
  • July 21, 2025

The AI hype is real, but for most startups, integrating ChatGPT into a feature isn’t the same as building an AI-native product.

We’re at the edge of a generational shift: from SaaS 2.0 to Native AI-first startups, companies architected from …

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The Hidden Complexity of Native AI
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  • Artificial Intelligence

The Hidden Complexity of Native AI

  • Santosh Sinha
  • July 16, 2025

🔍 Introduction

“AI-native” isn’t just a buzzword. It’s a foundational approach that threads intelligence, data, models, workflows, teams, and governance into every aspect of your system. However, achieving this is far more complex than simply adding an ML feature. In …

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  • Artificial Intelligence

Native AI Needs Native Data: Why Your Docs, Logs, and Interactions Are Gold

  • Santosh Sinha
  • July 14, 2025

There’s a growing myth in the AI world that access to powerful models is enough. But while foundation models like GPT-4, Claude, and Gemini are transformative, the real competitive edge lies elsewhere.

It lies in the data that only you …

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Latest Post
  • How AI Is Powering the Next Generation of B2B Platforms
  • Multi-Agent Synergy: How GPT 5 Will Orchestrate Complex Workflows
  • AI That Negotiates, Decides, and Executes: The GPT 5 Leap
  • Guaranteed Delivery or Your Money Back: How Brim Labs is Raising the Bar in Software Development
  • Build Once, Think Forever: Creating Smart Local Apps That Learn Over Time
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