State of LLMs | Bengaluru

​Multi-LLM for Product Teams: Hype, Risk, or Real Advantage?

​Every product team is hearing the same advice:

​“Use multiple LLMs.”

​But once you ship, the real questions show up, when is multi-LLM actually worth it, what can break, and how do teams manage cost, latency, reliability, and governance across providers?

​Join us for a high-signal panel discussion with builders who are actively shipping LLM features in production. Expect real experiences, practical trade-offs, and frameworks you can apply immediately.

​Agenda (Panel + Q&A)

​Panel Discussion: Multi-LLM for Product Teams: Hype, Risk, or Real Advantage?

We’ll cover:

• ​How teams use LLMs in real products + model preferences by use case

• ​Single-model vs multi-model decisions (and why)

• ​What to track: latency, cost, quality, reliability, response time

• ​How teams evaluate new models (quality vs price)

• ​Getting a clear view of usage/spend across providers
  Audience Q&A + Networking

​Who should attend

​AI Founders, CTOs, Engineering Managers, and Developer Advocates from AI-native and AI product organizations.

​Come to learn, share, and leave with clearer answers on whether multi-LLM is your next advantage or your next operational headache.

​Our Panelist

​Speakers:

• ​Arka Sanyal: https://www.linkedin.com/in/arkasanyal/

• ​Aditya Pangtey: https://www.linkedin.com/in/adityapangtey/

• ​Karthikeyan NG: https://www.linkedin.com/in/intrepidkarthi/

• ​Ritesh Prasad: https://www.linkedin.com/in/prasadritesh/

​Moderator:

• ​Siv Souvam: https://www.linkedin.com/in/sivsouvam/

​About FastRouter.ai:

​FastRouter.ai is a unified API gateway that simplifies how businesses access and scale large language models for text, image, video, and embedding tasks. By consolidating multiple AI providers behind one OpenAI-compatible API, FastRouter.ai eliminates provider integration headaches, delivers transparent usage-based pricing, enables governance via rate and budget limits for enterprise projects, and automates routing for reliability and speed, helping teams innovate faster and control their AI costs with less friction.