Pricing Overview
Edgee uses a custom enterprise pricing model tailored to each organization's needs. Edgee compresses prompts before they reach LLM providers, reducing token costs by up to 50% while preserving the same code and output quality. The platform sits between your application and LLM APIs to optimize token usage automatically.
Edgee pricing is quoted individually for each organization. The sales team works with prospective customers to build a package that matches their LLM cost optimization and prompt compression requirements, deployment scale, and support needs. This per-organization approach means pricing varies based on the specifics of each engagement.
Plan Comparison
| Aspect | Details |
|---|---|
| Pricing Model | Enterprise / Custom quote |
| Public Pricing | Quoted per organization |
| Target Users | Engineering teams, AI application developers, and companies with significant LLM API spend |
| Free Trial | Demo available on request |
| Billing | Negotiated per contract |
Edgee does not offer standard self-serve pricing tiers. All plans are customized and negotiated directly with the Edgee sales team based on your organization's requirements and expected usage volume.
Core Capabilities
Edgee provides the following core capabilities that factor into its enterprise pricing structure:
- Prompt compression: Automatically compress prompts before they reach LLM providers, reducing token counts and associated API costs by up to 50%
- Transparent integration: Works with your existing code and LLM API calls without requiring prompt rewrites or application changes
- Quality preservation: Compression is designed to maintain output quality — same results with fewer tokens and lower bills
These capabilities are designed for teams of 10 to 500+ users running LLM cost optimization and prompt compression operations at scale, with API access, dedicated support, and reliability guarantees included in enterprise packages.
What Influences Pricing
Several factors will determine the final cost when evaluating Edgee for your organization:
- API call volume: Higher volumes of LLM API calls processed through Edgee will influence pricing, as the value scales with usage
- Compression ratio achieved: The actual cost savings depend on your prompt types. Repetitive or verbose prompts compress more effectively
- LLM providers used: The number and type of LLM providers routed through Edgee may affect integration complexity and pricing
- Contract length: Committing to a 2 to 3 year agreement often provides 15% to 25% better per-unit economics compared to month-to-month billing.
- Support and onboarding: Dedicated account management, 24/7 support, and custom training sessions for teams of 20+ users influence the overall package cost.
- Integration complexity: Custom API integrations, SDK access, data migration, or specialized deployment requirements add to implementation costs beyond the base subscription.
Getting Started with Edgee
To explore whether Edgee is the right fit for your LLM cost optimization and prompt compression needs:
- Visit the Edgee website and request a demo or consultation with the sales team.
- Prepare details about your team size (10, 50, or 100+ users), expected monthly usage volume, and your top 3 to 5 feature requirements.
- Ask about 30 to 90 day pilot programs to evaluate the platform hands-on before committing to a full contract.
- Compare Edgee with 2 to 3 alternatives in the LLM cost optimization and prompt compression space to ensure you are making an informed decision.