VP Engineering & Platform leaders
Sees which teams are driving AI agent spend, sets model policies, and shows leadership a real number — not surprises from token cost spikes.
The AI control plane for your organization.
Most teams have little visibility into how AI is being used, which models are driving costs, or whether they're delivering value — TokenShift sits between users and their coding agents, optimizing every interaction in real time, enforcing governance policies, and giving your organization full visibility across every team, without changing how people work.
See TokenShift in action.
A lightweight Rust binary that installs in minutes and runs locally on the endpoint — built for Claude Code, Cursor, Copilot, Windsurf, and modern coding agents.
Built for the teams accountable for AI spend.
Individual developers
Not the buyer — one install command, no change to workflow, no IDE plugins, no IT overhead, and agent results stay the same.
CTO, CFO & VP Infrastructure
Security posture confirmed before deployment, org-level cost control, and a clear ROI on AI tooling investment.
Engineering teams are flying blind on coding agent spend.
AI coding agents are standard in engineering orgs now — teams are spending fast and the bills are growing faster than anyone planned, and the waste is structural: every tool call a coding agent makes returns more output than it needs, and every token in that output gets charged regardless of whether the agent needed it.
Token management is probably one of the most critical pieces of the overall AI landscape because that is where you tend to blow your budget the fastest.
Today's options all fall short — open-source tools (RTK, clau-compactor, LLMLingua) each cover one technique, live on one developer's machine, and give leaders zero visibility, while model provider dashboards give org-level totals only, read-only, with no per-team or per-developer breakdown.
Six capabilities from a single lightweight binary.
Visibility
Every endpoint, developer, and session tracked — token spend by user, team, model, and project, with intent breakdown across debugging, feature development, code review, and more.
Performance
Faster, more accurate responses as context stays clean, with fewer back-and-forth loops — tracks time to first token, tokens per session, and session length.
Savings
10–20% token reduction across 11 design partners with no change to how developers work — structural waste removed automatically before it reaches the model, savings tracked in the admin console.
Productivity
Engineers ship more with fewer cycles, with wasted interactions identified and reduced automatically, and output per session tracked so you know where time is actually going.
Governance
Set policies on which models, tools, and workflows are allowed — per-team and per-workspace rules (enforce or warn) prevent misuse, personal project usage, and costly model choices.
Enterprise-ready
Runs locally with no proxy architecture and no access to code or credentials — centrally distributed via MDM with auto-updates, zero-touch maintenance, and security docs for IT and InfoSec review.
One install command, real-time remediation at the endpoint.
A single Rust binary installed on each developer's machine hooks into the coding agent's native pre/post-execution hooks, intercepts tool outputs, strips the noise, and passes only what the model actually needs — a management console aggregates data across all endpoints, all deterministic, with no model calls in the compression path and no latency overhead.
Prompt & tool output compression
JSON aliasing, tabular conversion, AST-level code stripping, diff trimming.
Web fetch noise stripping
Readability-style extraction: raw HTML in, clean article text out.
CLI output compression
Success patterns to short form with error context preserved — a successful build becomes one line.
Fast CLI substitution
grep to ripgrep, find to fd, cat to bat, ls to eza.
Context deduplication
If a file has been read once, it is referenced, not repeated.
Image right-sizing
Downscales screenshots and images to what the model actually needs.
KV-cache optimization
Static prefix first to maximize cache hits.
Supported at GA: Claude Code, Cursor, Codex, Windsurf, Opencode.
Designed to clear InfoSec before it becomes a blocker.
Security is the first objection in enterprise deals — TokenShift is designed to answer it completely.
- Single Rust binary, fully on-deviceNo proxy architecture, nothing routed off the machine.
- Nothing leaves the machineStats like token counts, technique types, and timing stay in local SQLite.
- Telemetry is opt-inTier 1 is anonymous per-machine metrics, Tier 2 (off by default) logs structurally-redacted command shapes only, and tokenshift telemetry dry-run previews exactly what would leave the machine.
- Pull-only telemetryPointFive cannot push code to developer endpoints — even if PointFive were compromised, it cannot inject code into developer machines.
- Centrally distributed via MDMAuto-updates and zero-touch maintenance, with security documentation available for IT and InfoSec review.
10–20% token reduction with no change to output quality.
Confirmed across 11 design partners running TokenShift today.
The cross-agent governance layer no single vendor will build.
Every AI coding vendor will eventually ship usage analytics for their own tool, but every one will be siloed to their own platform — TokenShift sits across all of them, one admin console with one view of what your entire engineering org is spending, regardless of which agent they use.
| Alternative | Why it falls short |
|---|---|
| RTK (Rust Token Killer) | One technique with no org visibility and no governance layer. |
| clau-compactor | One technique family, single-developer tool, no policy controls. |
| LLMLingua (Microsoft) | Adds a model call in the compression path, with no governance layer. |
| Model provider dashboards | Org-level totals only, read-only, with no per-team breakdown and no policy controls. |
| Native coding agent analytics | Siloed to each vendor's tool, with no cross-agent view and no governance across teams. |
See it, optimize it, govern it in your environment.
One install command, running in a day, with no change to how your developers work.