Live Demo Session

How to Use Open-Weight Models in Regulated Industries

A 50-minute live demo of model configuration, policy and routing, followed by 10 minutes of Q&A.

Register Free · Online

Configure, route and audit. Live.

Open-weight models give you more control over where and how a model runs. They also make you responsible for evaluation, configuration, security, monitoring and governance.

This session skips the question of whether open-weight models are "good" or "bad." Instead, we configure a small model catalogue live, define policies, send real AI requests and show you every routing decision as it happens.

The core question

How do we allow open-weight models into regulated workloads while keeping model, data, runtime and governance controls explicit?

Questions this webinar answers:

  1. 01

    Which model should be allowed to process which request, and under what conditions?

  2. 02

    How do data classification and use-case risk decide where a request goes?

  3. 03

    What does a privately hosted open-weight model look like when it handles a sensitive request?

  4. 04

    What should the audit trail capture for every AI decision?

  5. 05

    What changes between a demo setup and a production deployment?

Agenda

What you'll see

Each segment shows one part of the control flow, from registering a model to reading its audit trail.

  1. 0–4 minSetupAn enterprise AI request enters the platform
  2. 4–10 minModel configurationThree models registered with capability, cost, risk and deployment type
  3. 10–16 minPolicy configurationRules for which models can handle which data and use cases
  4. 16–30 minLive requestsClassification, policy evaluation and routing, in real time
  5. 30–38 minOpen-weight runtimeA private open-weight model handles a sensitive request
  6. 38–44 minAudit and observabilityDecision, selected model, policy, latency and trace
  7. 44–50 minArchitectureThe components behind the demo and what production needs
  8. 50–60 minQ&AYour questions, answered live

The live requests

Three requests, three different outcomes

We send three deliberately different requests through the same platform so you can see what drives each routing decision.

01

Public, low-risk

Public information with no sensitive data.

DecisionRoutes to the most economical approved model.

02

Sensitive enterprise

Customer or employee PII, or a confidential document.

DecisionThe external model is blocked. The request routes to the private open-weight model.

03

High-impact, restricted

Sensitive data plus high-risk decision support.

DecisionUses an approved model and/or requires human review.

The routing follows what the request contains, not a fixed model preference.

How we keep it objective

Evidence on screen, not claims on slides

We won't claim open-weight models are inherently safer, cheaper, more accurate or more compliant. For every request, you'll see:

  • Which model was selected
  • Which models were rejected
  • The policy that decided it
  • Where the model ran
  • The data class that triggered it
  • Response latency
  • Estimated cost
  • What went into the audit record

Who should attend

Built for the people who approve, build and govern AI

Especially relevant for BFSI and other regulated sectors.

  • CTOs
  • Enterprise architects
  • AI/ML engineers
  • Platform teams
  • Security teams
  • Model-risk and governance teams
  • Technology leaders

Meet the Speakers

Prasanna Vaidya

Prasanna Vaidya

CEO & Co-founder, Gyde

Prasanna is building enterprise AI systems grounded in an organization's data, workflows, business rules and context. Today, Gyde works across AI applications, model routing, inference, evaluation and governance, with systems deployed in production across large enterprises and reaching 12M+ users every month.

Shubham Deshmukh

Shubham Deshmukh

Co-founder & CTO, Gyde

Shubham Deshmukh is the Co-founder & CTO at Gyde. With experience across AI, data, & product, he shares insights on AI governance in enterprise workflows & how to make complex systems easier to use.

Open-weight models give enterprises more control over where and how models run. The engineering challenge is turning that control into a repeatable operating model through model configuration, policy, routing, runtime controls and auditability.

Don't ask only"Can we run this model?"

Ask"Under what conditions should this model be allowed to process this request?"

Save your seat: 30 September, 5:30 PM IST

50-minute live demo, followed by 10 minutes of Q&A.

Register Talk to us about enterprise AI