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.

DENVER--(BUSINESS WIRE)--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.”

Incumbent Agentic Systems Optimized for Token Burn

An April 2026 study – How Do AI Agents Spend Your Money – published on arXiv from researchers at The University of Michigan, Stanford University, MIT, Google DeepMind, Microsoft AI, and others analyzed eight frontier models running SWE-bench Verified through OpenHands. It found that an average agentic coding task consumed 4.17 million tokens and cost $1.857 (Link). The tech industry and the majority of large enterprises are betting on agents, though agentic workloads consume roughly a thousand times more tokens than ordinary AI interactions, per the study. They repeatedly (and inefficiently) reread context, rediscover plans, choose tools, and retry work.

As agent adoption scales, Goldman Sachs estimates global token consumption (consumer and enterprise) to increase twenty-fourfold by 2030 to ~120 quadrillion per month (Link). Market analysts say organizations are likely to support that growth by spending up to trillions of dollars on infrastructure by 2035 (Link).

“The orchestration layer controlling how AI consumes compute will be one of the most valuable layers in the enterprise stack,” said Connor Deeks, co-founder and CEO, Codestrap. “Codestrap is building that layer, making every token consumed produce orders of magnitude more value.”

Incumbent offerings effectively reconstruct the entire software engineering process from scratch on each run, a technique that spirals token usage and cost as has been widely reported. Codestrap encodes how valuable work is performed into its AI coding platform – the inputs, sequence, state, model routing, validations, and review gates – which deploys as a reusable software that customers use to avoid the aforementioned cost spiral.

Codestrap isn’t merely optimizing an existing model. It has fundamentally architected a unique agentic capability that delivers the performance enterprises expect at a cost they can afford.

Codestrap Value Factory: Enabling Enterprises to Attain Durable Operating Leverage

Codestrap’s Value Factory, its managed service offering built atop proprietary AI coding technology, unblocks the engineering backlog, turning tokens into durable operating leverage through an opinionated software development platform that encodes decades of experience using a combination of automation, code generators, code shifts, static code analysis, and AI. Value Factory is available now as an offering for enterprise clients.

To learn more, schedule a working session with Codestrap’s deployment team directly at codestrap.com.

About Codestrap

Codestrap is an AI software development company building platforms that make enterprise software faster, cheaper, and more governable to produce. Its Value Factory is the company’s managed service offering that encodes institutional expertise into durable, auditable systems, turning engineers into force multipliers and giving organizations the capability to build custom software at a cost that makes SaaS increasingly hard to justify. Codestrap’s technology is built on React, Node, TypeScript, Python, and SQL, and is delivered as a fully managed service. Strategic technology partners include ElevenLabs, Nx, and DataLinks, and others. Learn more at codestrap.com.