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TokenShunt
Industry program · Financial Services

Large engineering teams, strict controls, and a growing AI coding bill.

Banks and insurers run some of the biggest engineering organizations in the world, and AI coding tools now sit across all of them. We cut what those tools cost without loosening the controls your risk and security teams depend on.

The challenge

What makes banks, insurers, and fintech different.

01

Source code can't leave

Many codebases may not be sent to external APIs. Routine jobs can run on self-hosted worker models inside your network.

02

Every change must be traceable

Model risk and audit teams want to know how code was produced. Every routed change is logged with the model behind it.

03

Legacy estates are token-heavy

Large, old codebases make agents read a lot before they write anything, which is exactly the work routing makes cheap.

Where the tokens go

Work we route to cheap models.

  • Reading large legacy codebases
  • Repo-wide search and impact analysis
  • Test and fixture generation
  • Boilerplate for services and APIs
  • Migration and upgrade scaffolding
  • Documentation from existing code

Tools we route

Claude CodeCursorGitHub CopilotInternal agentsSelf-hosted models

Routing runs inside your environment — your cloud account, your data center, or an isolated network.

Compliance, built in

Designed for the scrutiny your sector demands.

Visit the Trust Center
  • Self-hosted worker models for code that must stay on your network
  • A log of which model produced every routed change
  • Access controls through your identity provider
  • Documentation your model-risk and audit teams can review

Start the conversation

Stop paying frontier prices for routine work.

Tell us which coding tools your engineers use and roughly what you spend. We'll show you where the tokens go and what routing would change.

We respond within 1 business day. Mutual NDA available before any data discussion.