The intelligence layer for how your teams use AI
Hey everyone - we’re Tejas and Pankaj, co-founders of Nivara 👋
TL;DR
Nivara is an AI-powered Engineering Intelligence platform that gives engineering leaders visibility into how humans and AI are building together, measuring throughput, quality, and ROI across the modern software organization.
Ask: Are you a CTO, VP, or Engineering Leader investing in AI productivity?
Book a demo - we’d love to show you how Nivara Catalyst can help your team operate faster, healthier, and more efficiently.
❌ The Problem
AI has entered engineering at scale. There are now hundreds of tools across the engineering lifecycle - from Cursor, Claude, Codex for coding to Greptile, CodeRabbit for review, and more emerging every week.
But the reality?
- Traditional developer metrics like PR counts and number of code reviews don’t tell the story anymore.
- Engineering orgs are becoming AI–human hybrid systems, yet leaders can’t measure impact, quality, or ROI.
- Even worse - if teams aren’t aligned to org OKRs, none of these tools matter. Misalignment between goals and execution kills impact.
At companies like Meta, Google, and Microsoft, 30%+ of code is now AI-generated, yet few organizations have visibility into which systems are actually driving outcomes.
🤖 Our Solution: Nivara Catalyst - The AI Engineering Intelligence Platform
Catalyst provides visibility into how humans and AI are building together. It helps engineering leaders understand:
- Which systems and models drive the most ROI 💰
- How AI adoption affects throughput, quality, and velocity 📈
- Where organizational bottlenecks exist ⚙️
Catalyst learns your product and engineering signals - from incidents and bug rates to resolution times, and ties them back to your organization OKRs.
It helps you:
- Identify AI champions and benchmark best practices across the industry 🏆
- Understand total AI spend and map it to business outcomes
- Spot misalignment before it slows your org down
As AI adoption grows, Catalyst becomes your intelligence layer - the system of record for how your organization performs in the AI era.
🌍 Our Vision
We’re building toward a future where every organization runs on an AI Resource Manager, measuring not just output, but impact.
👬 The Team
Tejas (CEO) - ex-Uber infrastructure engineer. He built real-time product metrics for 6M+ Uber drivers, scaling systems serving 150M+ users, and developed Uber’s open-source API Gateway, Zanzibar, handling 1M requests per second.
Pankaj (CTO) - ex Uber platform engineer. He has worked on the Uber for Business & Fulfillment platform teams. He was one of the 7 people from all of India hired by Uber to directly join the San Francisco office. He is a graduate of IIT Kharagpur.
We worked together at Uber for over two years building and scaling core platforms side by side.
🙏 Our Ask
If you’re a CTO, VP, or Engineering Leader exploring:
- How AI impacts your team’s productivity
- Which systems deliver ROI
- Or how to align AI adoption with your team’s OKRs
👉 Follow us on LinkedIn
📣 Or share this post with an engineering leader who cares about team health, speed, and ROI.
