You're probably overpaying for AI and here's why
Many businesses overpay for AI by using a single provider for all queries, regardless of complexity. eLLM optimises costs by routing questions to the most suitable model, keeping data secure and providing detailed usage insights.
If your business uses AI today, there's a good chance it's set up the same way most are: every question, simple or complex, goes through a single provider at a single price. A one- line factual question costs the same to answer as a genuinely hard one, because nothing in the system is deciding otherwise.
eLLM was built to fix exactly that.
The right model for the job, automatically
eLLM isn't tied to one AI provider. It routes each question to the best available model, automatically balancing capability, cost, and your access rules:
- It prefers free local models by default, only calling on paid cloud models when a question genuinely needs the extra capability.
- Automatic routing respects group access rules and spend caps, so cost control doesn't require a person managing it manually query by query.
- You can add capacity exactly where you need it, more local models, cloud models on tap, or spare desktops turned into background workers without replacing what you already have or moving your data.
Cost control without giving up your data
Alongside routing, eLLM keeps sensitive company data off the cloud by default. Documents and conversations stay on your own infrastructure unless you explicitly choose otherwise, with every answer citing the exact source it came from so it can be checked, not just trusted.
Visibility most businesses don't have today
A dedicated admin console gives you usage trends, the most-asked questions, and a full audit log of activity, visibility into how AI is actually being used across the business, not just what it's costing.
More than a chatbot
Because eLLM orchestrates models and tools rather than just conversations, it goes further than answering questions: save recurring instructions as reusable Skills, chain multi-step tasks into repeatable Workflows, export any answer as a finished PDF, Word, or Excel file, or connect it to your other systems through an OpenAI-compatible external API.
If your AI costs have crept up, or you simply don't have visibility into how it's being used, see how eLLM's automatic routing controls both, or get in touch for a walkthrough
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