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API Costs Scaling Faster Than Revenue
You're sending full conversation history on every request, using GPT-4 for tasks that need GPT-3.5, and not caching any responses. The bill grows with every user interaction.
We fine-tune your AI integrations and API usage patterns to maximise the intelligence your product delivers while minimising every token and compute dollar spent.
You're sending full conversation history on every request, using GPT-4 for tasks that need GPT-3.5, and not caching any responses. The bill grows with every user interaction.
Vague system prompts, no grounding data, no guardrails. Users get hallucinated answers and generic responses that don't reflect your product's domain knowledge.
You don't know which prompts are failing, what the p95 latency is, or how often the model refuses to answer. You're flying blind on the most expensive part of your stack.
We classify your use cases by complexity and route each to the cheapest capable model — simple queries to lightweight models, complex reasoning to premium ones. Spend drops immediately.
Optimised system prompts cut token usage by 40–60%. A semantic cache layer (e.g., GPTCache) serves repeated queries without hitting the API at all.
We instrument every AI call with latency, cost-per-call, and quality metrics. You get a real-time dashboard to catch regressions before users do.
You're sending full conversation history on every request, using GPT-4 for tasks that need GPT-3.5, and not caching any responses. The bill grows with every user interaction.
We classify your use cases by complexity and route each to the cheapest capable model — simple queries to lightweight models, complex reasoning to premium ones. Spend drops immediately.
Vague system prompts, no grounding data, no guardrails. Users get hallucinated answers and generic responses that don't reflect your product's domain knowledge.
Optimised system prompts cut token usage by 40–60%. A semantic cache layer (e.g., GPTCache) serves repeated queries without hitting the API at all.
You don't know which prompts are failing, what the p95 latency is, or how often the model refuses to answer. You're flying blind on the most expensive part of your stack.
We instrument every AI call with latency, cost-per-call, and quality metrics. You get a real-time dashboard to catch regressions before users do.
Every engagement starts with a free architectural consultation. No commitment.
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