Insights · Page 3
More from the Tequity team.
AI Engineering
Computer Vision in Production: Beyond the Demo
Getting a CV model to 90% accuracy on a benchmark is easy. Deploying it reliably in production is not.
Rahul Nair
Co-Founder & Head of Engineering
Business
How to Price AI Products: 5 Models That Work
Seat-based SaaS pricing breaks for AI products. Here are 5 pricing models we've seen work for AI-native products.
Ajay Kumar
Co-Founder & Director
Design
Why Your Startup Needs a Design System (and When to Build One)
A design system is expensive to build and cheap to skip — until it isn't. Here's how to think about the timing.
Ishiyetaa Sani
Co-Founder & Head of Design
Business
Why Enterprise AI Pilots Fail (and How to Fix It)
Most enterprise AI pilots succeed technically and fail organizationally. Here's the pattern we've seen and how to break it.
Ajay Kumar
Co-Founder & Director
Engineering
Why We Build AI Apps on Next.js
Server components, streaming, edge functions — Next.js has become the default for AI applications. Here's why we agree.
Rahul Nair
Co-Founder & Head of Engineering
AI Engineering
AI Data Pipelines: What You Need Before You Train Anything
The model is the easy part. Getting clean, labeled, versioned data to train it is where most AI projects stall.
Rahul Nair
Co-Founder & Head of Engineering
Product
Why Founders Should Stay Close to Product Longer Than They Think
The instinct to delegate product decisions early is understandable. It's also often wrong.
Ajay Kumar
Co-Founder & Director
AI Engineering
Cutting Your LLM API Costs by 80%: A Practical Playbook
LLM costs compound fast. Here are the techniques we use to reduce inference costs without degrading quality.
Rahul Nair
Co-Founder & Head of Engineering
Product
How We Run Product Sprints (and Why Most Teams Do It Wrong)
Sprint rituals often become overhead. Here's a leaner approach that keeps velocity high and meetings low.
Ajay Kumar
Co-Founder & Director
AI Engineering
Multi-Agent AI Systems: Architecture Patterns That Work
Orchestrating multiple AI agents sounds powerful. In practice, it requires careful design to avoid cascading failures.
Rahul Nair
Co-Founder & Head of Engineering
Design
How to Run UX Research for AI Products
Standard usability testing doesn't capture the unique challenges of AI interfaces. Here's how to adapt your research process.
Ishiyetaa Sani
Co-Founder & Head of Design
Product
The MVP to Seed Stage Transition: What Changes
Raising a seed round is a milestone. Navigating the shift in how you build product afterward is the real challenge.
Ajay Kumar
Co-Founder & Director
LET'S TALK
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