MeterSPW by SciTech - Cut LLM costs with models tested for your industry

Meter cuts LLM costs by routing each request to the cheapest model qualified for your industry’s workflows. Its deterministic math engine assesses prompt complexity without an LLM classifier, backed by sector-specific tests of agentic tasks and tool use. One integration supports multiple providers with BYOK or a managed key. Audit each model choice, routing reason, token usage and savings—and dispute routing fees. Meter never stores your prompts or workflow content.

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Hey Product Hunt 👋 Which of these is limiting your AI automation? 1. Overpriced LLM requests 2. AI spending you can’t explain or tie to value 3. Constant model changes that cost engineering time 4. Uncertainty about which models work best for your industry’s tasks We built Meter-SPW to address these recurring challenges. Meter benchmarks models on industry-specific agentic workflows, varied scenarios and tool calls. Its deterministic math engine measures prompt complexity and selects the cheapest qualifying model—without an LLM classifier. What makes Meter different: - Lower request costs: Route work to models with benchmarked capability. Meter Direct may also lower your bill while keeping the same model. - Auditable spending: See the selected model, routing reason, tokens and savings, with visibility into each employee’s task costs and savings. - One integration across providers: Bring your own keys or use Managed Key mode with one Meter key and balance. New models and retirements are handled in Meter’s routing layer. - Industry-specific model qualification: Models enter Meter’s pool only after passing sector-specific agentic workflow tests. Meter never stores your prompts or workflow content. Every routing decision is recorded, and you can dispute a choice you disagree with and request a refund of its fees. Try Meter with $10 in signup credit: Share this post with a team facing these pain points
💎 Pixel perfection

i like the deterministic routing approach and the ability to audit each model choice. keeping prompts private while tracking costs is a nice touch.

 Thank you!

I'm a 25-year old founder. My CTO has 20+ years experience in Applied Mathematics.

We love to have you try our production-ready platform. If you know any teams facing these 4 pain points, can you help us spread the word?

 of course