AI TOOL PROFILE

LLMasaService: AI Infrastructure for LLM Features

LLMasaService helps software and enterprise companies deploy and manage AI features. It is designed for teams that need to manage costs and reliability across multiple LLM providers.

Pricing

Plans start at $5/month for the Developer tier, $99/month for Production, and $199/month for Enterprise. Each plan includes a 30-day trial and 125K tokens.

At a glance

Best for
Software companies, Enterprise product teams, Engineering teams, Product managers
Key use cases
AI Feature Integration, LLM Cost and Ops Management, Enterprise LLM Governance, Automated Customer Support
Integrations
OpenAI, Anthropic, Mistral, Google
Visit Llm As A ServiceLlm As A Service software interface screenshot

How AI is used

LLMasaService is an infrastructure layer designed for product and engineering teams moving AI features from prototype to production. It handles operational tasks such as routing, failover, and governance, which may reduce the manual work required to build internal AI management tools.

The platform is designed for software companies and enterprise teams. It supports operational needs including PII redaction, content filtering, and usage-based billing for monetizing AI features. It also includes a no-code visual builder for creating agents.

Buyers should confirm their specific compliance requirements and billing preferences, as the platform includes built-in metering and embeddable dashboards. It is also worth confirming if the provided React hooks and UI components align with their current frontend stack.

Key Features

  • Smart LLM Routing

    Analyzes prompt complexity in real time to route requests to a cost-effective or high-performance model.

  • Multi-Vendor Failover

    Supports automatic health checking and failover between providers such as OpenAI, Anthropic, and Mistral.

  • Usage-Based Billing

    Includes token tracking, metering, and embeddable usage widgets for customers.

  • PII and Safety Guardrails

    Supports automatic PII detection and redaction, toxicity blocking, and brand policy injection.

  • No-Code Agent Builder

    A visual interface for configuring AI agents using prompt templates and context injection.

  • Customer Memory Persistence

    Maintains searchable memory across conversations to support personalized responses and context.

  • Knowledge Base RAG

    Supports uploads of PDFs, Markdown files, and URLs to provide agents with specific context.

Use Cases

  • AI Feature Integration

    Adding conversational AI, summarization, or content generation into an existing application using APIs or React components.

  • LLM Cost and Ops Management

    Using routing and observability tools to monitor token usage and manage LLM provider costs.

  • Enterprise LLM Governance

    Providing employees with managed access to LLMs while enforcing PII redaction and brand compliance.

  • Automated Customer Support

    Deploying AI agents on a website that use a custom knowledge base and support escalation to humans.

Integrations

  • OpenAI
  • Anthropic
  • Mistral
  • Google

FAQ

Can I use my own API keys with LLMasaService?

Yes, you can use your own API keys from providers like OpenAI, Anthropic, and Mistral for direct billing, or purchase credits to use the platform's keys.

What is the starting price for the platform?

The platform offers a Developer plan starting at $5 per month, which includes a 30-day trial and 125K tokens.

Who is this software designed for?

It is designed for product, engineering, and IT teams at software and enterprise companies who are shipping AI features to production.

Source category: Software Development

Source subcategory: AI Infrastructure

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