TrustEvals Bengaluru - Private Dinner on making Production AI reliable

​Why this dinner

​​Most AI teams don’t fail because their models or pre-production evals are weak.
They fail because they don’t know when their systems are breaking once they’re in production.

​​As LLMs and AI agents move into real products, teams are discovering new challenges: unreliable behavior, unclear evaluation standards, silent failures, and limited governance once models are live.

​​TrustEvals Bengaluru is a small, invite-only dinner for AI leaders who are actively shipping AI into production—and want to make it more reliable, observable, and trustworthy.

​Who this is for

​​This dinner is designed for people who own outcomes of AI systems in production, including:

• ​​Heads of AI / ML

• ​​Chief AI Transformation Officers

• ​​Product leaders responsible for AI-powered features

• ​​Engineering leaders deploying LLMs into live systems

​​Especially relevant if you’re dealing with:

• ​​Evaluating AI beyond offline benchmarks

• ​​Reliability issues surfacing only after deployment

• ​​Human-in-the-loop or RLHF workflows

• ​​Synthetic data for testing and evaluation

• ​​Observability, monitoring, and governance for AI systems

​​What we’ll discuss

​​This will be a candid, peer-level conversation—guided, but informal. Topics may include:

• ​​How teams are actually evaluating AI in production

• ​​Where current evaluation approaches break down

• ​​Failure modes only discovered through real usage

• ​​Synthetic vs real data for reliability testing

• ​​When human feedback meaningfully improves outcomes

• ​​Tooling gaps in observability and governance

• ​​What “reliable AI” means in enterprise environments

​​No decks. No demos. Real experiences only.

​​What this is not

​​To set expectations clearly:

• ​​❌ Not a sales or demo event

• ​​❌ Not a large networking meetup

• ​​❌ Not an introductory AI discussion

​​This is a depth-first conversation for practitioners.

​​Format & logistics

• ​​Format: Private dinner with guided discussion

• ​​Group size: 8–10 participants

​​About the host

​​TrustEvals works with teams deploying AI into production, with a focus on evaluation, reliability, and governance for real-world AI systems.

​​The work is informed by hands-on experience building and operating AI systems, and ongoing collaboration with AI leaders across the SF Bay Area and India.