CompletionPrism™ is AI spend optimization and token cost reduction from illuminis. It optimizes work, not tokens, pricing what each task costs to finish, rework
By Avik Ghosh, Managing Founder, illuminis
CompletionPrism™ is an AI spend optimization and token cost reduction product from illuminis. It optimizes AI spend by optimizing the work, not the tokens. The unit it manages is the finished task, not the single request. Before each step is sent, it predicts what the task will cost to finish on every model a company has approved, across providers such as Anthropic, OpenAI, Google and xAI, and runs the step on the path with the lowest total cost that still holds quality.
CompletionPrism™ runs AI work through its own agent harness: the loop that plans a task, calls the models, uses the tools and checks the result. Because it runs that loop itself, it can choose a different model for each step of the same task. Strong models make the decisions, fast and inexpensive models carry out the routine steps, and long conversations stay with the model already holding them. Before each step it routes down, routes up, stays or stops. Teams that keep Claude Code or Codex can point them at CompletionPrism™ with one environment variable.
Most AI cost tools look at the price of each request. CompletionPrism™ looks at the cost to finish the work, which includes every attempt the work takes and the time a person spends fixing a wrong answer. That is why it sometimes routes up to a more expensive model and still costs less overall.
The Workforce License serves a company's own people, from engineering to business teams. The Embedded License runs CompletionPrism™ white-labelled inside a software vendor's own product. CompletionPrism™ is patent pending. Learn more on the product page.