AI cost governance
Visibility and ROI, guardrails, budgets, and optimization across every AI provider, model, coding agent, and AI workload.
Coding and productivity agents on every desk.
Agents and LLMs running in production.
Agents running in hosted agent environments.
The Adaptive6 difference
Visibility and ROI
Cloud AI bills merged with direct API spend, with token volume and unit cost by model: input, output and cached. Roll it up to departments, teams, developers, applications and environments, and measure ROI by mapping every AI dollar to the work it powers, such as cost per pull request.
Coding agents
Org-wide AI usage policies from one control plane. Set budgets and spend controls by cost center, repository, team or developer, and surface abnormal AI spend and token spikes before they compound.
Production AI
Reuse repeated context with prompt caching, batch requests to raise throughput and lower inference cost, match provisioned throughput to actual workload demand, and use the smallest cost-efficient model that meets requirements.
Cloud-to-Code for AI
Model choices and AI capacity live in Infrastructure as Code too. Adaptive6 traces AI findings to the code behind them and opens the pull request, like moving a simple workload to a cheaper model.
Shift-left for AI
Enforce AI tagging and setup hygiene in CI/CD, before new AI workloads and configuration changes ship.
Workstation plugin · Beta
TokenIQ takes Adaptive6 further on every developer workstation, with advanced visibility, governance and optimization for coding agents.
Govern every team and agent with policies, budgets, and soft guidance or enforcement, and give engineers in-flow guidance to use coding agents efficiently.
Enterprise-ready: simple setup, zero-touch maintenance and privacy by design.
Amazon Bedrock, Vertex AI, Azure OpenAI, AI Foundry, SageMaker, OpenAI and Anthropic, and coding agents like Claude Code, Cursor, GitHub Copilot and Codex.
From one control plane: organization-wide usage policies, budgets and spend controls by cost center, repository, team or developer, and alerts on abnormal spend and token spikes.
AI platforms such as Amazon Bedrock, Vertex AI, Azure OpenAI, AI Foundry and SageMaker, model providers such as OpenAI and Anthropic, and coding agents such as Claude Code, Cursor, GitHub Copilot and Codex.
Yes. AI cost visibility goes down to department, team, developer and application, including per-developer coding-agent token usage.
With prompt caching, prompt batching, provisioned throughput sized to actual demand, and model selection to the smallest cost-efficient model that meets requirements.
TokenIQ is a workstation plugin, now in Beta, that brings advanced visibility, governance and optimization to coding agents. It lets you select, control and apply token optimizations from the Adaptive6 AI Shadow Waste catalog, such as prompt compression and stale context pruning.
