Polygon™ is a simple deal with the machine. The AI drafts anything: analyses, cleanups, reports, actions. Tested, deterministic code does the execution, the same answer every time. And nothing that spends money, goes public, or changes your data runs without a named person's approval. Every step lands on a tamper-evident, hash-chained ledger. Decisions, with the receipts.
The name is the method. The AI sits at the center. Polygon™ moves between the AI and deterministic code as many times as the work needs, and each pass lays down another edge. Enough passes, and a complete picture forms around the problem.
The AI reads your data and documents as they are, identifies what each one is, and pulls out the facts that matter.
It proposes how to clean and organize the data, in plain, named operations. It never rewrites your data on its own.
Deterministic code carries out the approved steps and records every one. Your raw data is never overwritten.
A rich pass on the clean data: what is happening, what stands out, what to look at first, and what you should be tracking but are not.
The AI's only output is a proposal. It has no path to act on its own: execution belongs to deterministic code, and code runs only what a person has approved. This is architecture, not policy, and it has held through live incidents with zero unapproved executions.
Every proposal, approval, rejection, and executed action is written to a hash-chained record. Each entry is linked to the one before it, so altering history breaks the chain visibly. When someone asks "how do you know," the answer is on the record, not in someone's memory.
Sources stay untouched. Every transform is a named, logged operation with a timestamp and a reason, so any result traces backward to the exact inputs that produced it, and the same run produces the same answer next month.
Your instance, your data, your accounts, your limits. Work runs in secure AWS infrastructure, isolated per client, and for sensitive engagements it can run entirely inside your environment. Your data is never used to train anyone's models, and if we part ways, you keep the system.
Three layers. The AI only proposes; deterministic code does the actual work and logs it. The full audit trail means any result traces back to its source. And a domain expert reviews the analysis before it leaves our hands. A confident-sounding mistake has to get past all three. And the approval gate has held through live incidents with zero unapproved executions.
Raw AI will happily rewrite your numbers, invent a column, and tell you about it in the same confident voice, with no record of what changed and no one accountable. Polygon™ wraps the same kind of model in logging, a deterministic execution layer, and human review. You get the speed without the exposure.
It runs in encrypted AWS infrastructure, isolated per client, with access limited to the people who need it. For the most sensitive work it runs through AWS Bedrock inside your own environment, so your data never leaves it. We work toward SOC 2 standards and never use your data to train models.
Watch it carry a company's data from raw inputs to the finding nobody was tracking.
See it work