Cloud Intelligence™Cloud Intelligence™
Integrations

Track every AI token

Live view of Maxim AI spend, token usage, and model costs across every team, workspace, and project.

LLM spend by agent dashboard mockup for Maxim AI

Trusted by engineering and finance teams shipping AI features in production

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setup

One API key. Full Maxim AI visibility.

Connect Maxim AI to DoiT with a read-only API key. DoiT ingests usage and cost data from your Maxim AI workspaces automatically. No agents, no code changes, no manual exports. Your token spend, model usage, and request volumes show up in unified reports within hours of connecting.

what you get

Built for the realities of running AI in production

The things FinOps and engineering leaders actually ask us for when they connect Maxim AI.

Unified AI cost reporting

Slice Maxim AI spend by model, team, project, or environment without building custom ingestion pipelines.

Real-time anomalies

Get alerted on token and inference spend spikes in minutes, not at invoice time.

Model spend breakdown

Compare cost per model and per request to spot expensive model mix choices.

Usage trend tracking

Watch token volume and request growth against forecast over time.

AI plus cloud in one view

Put Maxim AI spend next to your cloud bill to see the true unit cost of every AI feature.

Governance and budgets

Set AI spend budgets per team or project and get warned before they blow through.

Maxim AI's dashboards tell you what your AI stack did. Cloud Intelligence™ puts that spend in context and helps you act on it.

Beyond Maxim AI's usage dashboards

  • Team and project rollups

    Consolidated views of Maxim AI spend across every team and workspace, with drilldown into any project.

  • Real-time anomaly alerts

    Machine-learning detection on model, team, and project dimensions, routed to Slack or email.

  • Forecasting and budgets

    Project AI spend from actual token usage trends and set budgets before growth surprises finance.

  • Allocation and showback

    Split shared AI spend across teams and features the way finance expects, without a tagging program.

  • Full-stack cost context

    See Maxim AI spend alongside the cloud infrastructure serving your AI workloads in one report.

  • Forward Deployed Engineers

    World-class cloud architects who work as an extension of your team to implement optimizations.

Attribute + Maxim AI

Map AI inference spend to the work that drives it

Attribute maps AI costs to customers and features without relying on a tagging program. Paired with Maxim AI's usage data, it shows exactly which product surface drives every token. Best for: teams running production AI through Maxim AI that want infrastructure and inference cost attribution in one view.

  • Gateway traffic coverage

    Attribute costs on LLM requests routed through your AI gateway.

  • Usage data attribution

    Join Maxim AI usage records with billing data for per-feature cost.

  • Self-hosted inference

    Attribute costs of self-managed model serving alongside API spend.

  • Full LLM API coverage

    Capture completion, chat, embedding, and streaming calls.

  • Per-model costs

    Break down spend across GPT, Claude, Llama, Gemini, and other models.

  • Customer and feature views

    Show which customer and feature is responsible for each token.

  • AI spend anomalies

    Detect unusual inference spend before it hits the invoice.


fast-growing companies run on Cloud Intelligence™

21%

Avg. savings within first 90 days

28 days

Avg implementation time

Oren Ashkenazy

DoiT's focus on reliability, mixed with the system's flexibility, helps us safely optimize our Amazon EKS workloads with zero-touch from our engineers.

Oren Ashkenazy

Director of DevOps and Cloud at Fiverr

Ready to connect Maxim AI?

Bring your AI token spend into focus.

Frequently asked
questions

Can I see Maxim AI costs across all my teams and projects in one view?

Yes. Connect Maxim AI once and Cloud Intelligence™ ingests usage and cost data for every workspace, so you can slice spend by model, team, project, or environment from a single view. No spreadsheets, no manual exports.

What does connecting Maxim AI to Cloud Intelligence™ involve?

Generate a read-only API key in Maxim AI and add it to DoiT. The platform handles ingestion and normalization automatically, and most teams see unified reports within hours of connecting.

Which models or teams account for the bulk of my AI spend?

Reports let you drill from total Maxim AI spend down to a specific model, team, or project. You can compare cost per model and cost per request to understand exactly what drives the bill, without writing any queries.

Will I be alerted to AI spend anomalies as they happen?

Anomaly detection runs continuously across model, team, and project dimensions. When token usage or inference spend spikes, you get a Slack or email alert with the likely cause, long before the invoice arrives.

Maxim AI already has usage dashboards. What does Cloud Intelligence™ add?

Maxim AI's dashboards show usage inside the platform. Cloud Intelligence™ puts that spend in context: unified reporting alongside your cloud bill, anomaly detection, budgets, forecasting, allocation to teams and features, and access to forward deployed engineers who help you act on what the data shows.

Can I see Maxim AI spend alongside my cloud infrastructure costs?

Yes. Cloud Intelligence™ combines Maxim AI spend with the cloud infrastructure serving your AI workloads, so you can calculate the true unit cost of an AI feature rather than looking at token spend in isolation.

Can I set budgets for AI spend per team or project?

Yes. Set budgets on any dimension of your Maxim AI spend and route alerts to the owning team when spend trends toward a threshold. You can also forecast future spend from actual token usage growth.

What access does Cloud Intelligence™ get to my Maxim AI data, and how is it protected?

Cloud Intelligence™ uses a read-only API key with least-privilege access to usage and cost data. We never see your prompts or model outputs, never make changes without your approval, and the platform is SOC 2 Type II certified.