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Scale Generative AI with ease using Sigmoid RAPID

Most organizations lack a centralized governance layer to manage model access, prompt lifecycles, security controls, and cost accountability at scale. Sigmoid RAPID addresses this gap through a unified GenAI governance and enablement platform. It enables organizations to prototype, deploy, and scale GenAI applications within secure guardrails, while maintaining full visibility into usage, compliance, and ROI. As part of the platform, LLM Garden enables access to and intelligent routing across 30+ pre-approved LLMs based on quality, latency, and cost.

Sigmoid RAPID features

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GenAI Prompt Studio

Design, evaluate, version, and benchmark prompts and model configurations in a full fledged development studio.

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LLM Garden

Access and route queries across 30+ pre-approved LLMs, with intelligent routing based on quality, latency, and cost.

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Single pane AI governance

Centralized governance layer ensuring enterprise data and metadata remain vectorized and are securely injected at runtime.

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AI Gate and secure access

Built-in RBAC, IAM integration, audit logs, and policy enforcement across users, applications, and models.

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Intelligent cost control

Live AI and compute cost visibility with intelligent allocation by business unit, application, or team.

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One click infrastructure deployment

Terraform driven deployment of all RAPID components, fully aligned with enterprise architecture, security, and compliance standards.

RAPID framework for scaling GenAI

RAPID sits at the intersection of enterprise data, GenAI models, and business applications, acting as the centralized control layer that governs how GenAI is built, accessed, and scaled across the organization. As part of this framework, LLM Garden enables access to 30+ pre-approved LLMs with intelligent routing based on quality, latency, and cost. It allows teams to use the right model for each use case without losing governance or control.

Group

How Sigmoid RAPID delivers value across the enterprise

Business leaders

Accelerate GenAI adoption with faster time to market, improved confidence in cost forecasts, and the ability to scale use cases without compliance or operational risk.

GenAI developers and data scientists

Build and deploy GenAI applications faster using ready-to-use environments, reusable components, and instant access to trusted LLMs without infrastructure setup.

Platform and IT operations

Reduce infrastructure duplication and operational overhead through standardized templates, centralized governance, and integrated monitoring and controls.

Security and risk teams

Ensure enterprise-grade protection with enforced access policies, audit-ready logging, full traceability, and centralized visibility that minimizes shadow AI usage.

More enterprise-grade solutions by Sigmoid

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Sigmoid DataGuard

Identify, rectify, and prevent data quality issues throughout the data lifecycle with interactive dashboards and alert mechanisms. It is a scalable solution that integrates into any cloud environment and executes data quality tasks with minimal manual intervention.

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Sigmoid DataConnect

Integrated and secure data pipelines that help you gain better visibility across the enterprise, generate quality insights, and make informed decisions.

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FAQs

Sigmoid RAPID is a unified GenAI governance and enablement platform that helps enterprises design, deploy, and scale Generative AI applications securely, with centralized control over access, costs, compliance, and performance.

Sigmoid RAPID provides real-time visibility into AI and compute usage, with intelligent cost allocation by business unit, application, or team. This helps organizations avoid runaway spend while improving accountability and forecasting.

Yes. Sigmoid RAPID supports Terraform-driven, one-click deployments aligned with enterprise architecture. It can be deployed across major cloud environments and integrated with existing security and data platforms.

Organizations typically see rapid impact within weeks. RAPID enables faster prototyping and deployment, with customers achieving production-ready GenAI use cases in as little as a few months.

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