Codestrap Redefines Architecture of Agentic Work, Solves AI Cost Crisis
Research from Leading Academic Institutions Finds Average End-to-End Enterprise Software Workflows Require 4.17M Tokens at a Cost of $1.857. Codestrap Delivers Similar Workflows for Only 61,000 Tokens at a Cost of $0.11: 68 Times More Efficient at ~1/17 the Cost.
Codestrap, an AI software development company that delivers outcomes not outputs, today announced its managed service offering has solved AI’s affordability crisis. After comparing its performance against public disclosures and research from leading academic and commercial organizations, Codestrap found that its approach radically outperforms industry benchmarks by orders of magnitude.
In one recent engagement, Codestrap generated a verified ontological framework, relational schema, system boundaries, and executable logic utilizing a mere 61,000 tokens with an estimated inference costs of $0.11. For enterprise customers, the ramifications are sobering: build, deploy, and manage AI-powered software at a fraction of the cost, and thereby deliver measurable business outcomes that drive real ROI.
“Our approach rewrites the fundamental unit economics of AI,” said Dorian Smiley, co-founder and CTO, Codestrap. “At eleven cents, one dollar buys nearly nine complete workflows. One thousand dollars buys almost nine thousand. Capabilities that are uneconomic at several dollars per run, a major problem for enterprises, instead become deployable across every transaction, application, workflow, and customer. We’re not changing the game; we’re creating a new sport.”
