Stop Overpaying for
AI
Most companies use the most expensive model for everything. We route simple tasks to cheaper models—or open-source alternatives—implement caching, and cut your LLM bill by 50-80%.
Positioning
The Hidden Cost Problem
Developers default to the most powerful (and expensive) model for every task. A simple FAQ lookup costs the same as a complex analysis.
Prompts are bloated. Identical queries hit the API repeatedly.
There's no visibility into what's actually being spent. We fix all of that.
Outcomes
What You Get
Complete cost breakdown per feature, user, and model
Smart model routing—right model for each task
Prompt caching (up to 90% savings on repeated context)
Budget alerts before costs spiral
Ongoing monitoring dashboard
Concrete recommendations you can implement immediately
Our Services
From quick audit to full optimization
Cost Audit
We trace every LLM call, analyze usage patterns, and identify exactly where money is wasted. You get a prioritized report with concrete savings opportunities.
Model Routing
We implement intelligent routing: simple queries go to fast, cheap models (GPT-4o-mini, Haiku) or self-hosted open-source models (Llama, Mistral). Complex tasks stay on flagship models. Same quality, fraction of the cost.
Continuous Monitoring
Real-time dashboards showing cost per feature, per user, per day. Budget alerts. Anomaly detection. Never be surprised by your AI bill again.
Approach
Our Approach
Fast, practical, measurable results
Step 1
1. Trace & Measure
We instrument your LLM calls with Langfuse tracing. Within days, we have complete visibility into every API call, token count, and cost.
Step 2
2. Analyze & Identify
We find the waste: oversized prompts, wrong model choices, missing caching, duplicate queries. We quantify exactly how much each issue costs.
Step 3
3. Optimize & Implement
We implement quick wins first: caching, model routing, prompt trimming. Then deeper optimizations. You see savings within weeks.
Step 4
4. Monitor & Maintain
We set up dashboards and alerts so you stay optimized. Costs stay low. New inefficiencies get caught early.
What we've achieved for clients
Results
Not lab demos or isolated pilots, but working applications inside live processes that materially improve speed, quality, and operational handovers.
Insurance Company — Claims Processing
A mid-sized insurer was spending €8,000/month on flagship models for claims intake. We discovered 85% of queries were simple classification tasks. By routing these to GPT-4o-mini and a self-hosted Llama model, we cut costs by 70%.
Law Firm — Document Analysis
A growing law firm had €4,000/month in LLM costs with zero visibility. Our audit revealed duplicate queries (same documents analyzed repeatedly) and no prompt caching. After optimization, costs dropped to under €1,000/month.
FAQ
Frequently Asked Questions
The most practical questions that usually come up before a first application actually lands in the operation.
First serious step
Ready to Cut Your AI Costs?
Plan an AI Opportunity Scan. We show you where cost, routing, and model choice can be tightened first.
Included in the first conversation
Ready to Cut Your AI Costs?
Plan an AI Opportunity Scan. We show you where cost, routing, and model choice can be tightened first.
Response time
We typically respond within 24 hours