Private beta AI ROI Platform • Designed for AI product teams

If you can't prove your AI ROI in minutes, you don't have it.

AIPIMetrics turns raw model telemetry into a single AIPI™ Score & Business Impact dashboard—so you see which AI features make money, which burn it, and which should be killed.

  • AI teams measure everything except business value
  • Every review ends in “it depends…”
  • Finance keeps asking for ROI, and no one has the number

AIPIMetrics cuts through the noise and gives you the clear ROI answer everyone keeps asking for.

Request Beta Access

No credit card. We're hand-picking a few teams and working with them directly to prove AI ROI.

AIPI Score · last 7 days

91.6%
On track

Events analyzed

1,452

Technical health

Latency
705 ms (41% under target)
Cost / req
$0.0020 (19% under)
Accuracy
82.3%
Reliability
88.7%

Business & impact

Time saved
73.5 h / week
Capacity gain
+26.3%
AI utilization
11.3%
ROI proxy
250x
AIPI trend (7d) +3.3 pts vs. last week

Daily AIPI Score based on events window.

Built for
AI product, data & platform teams
Works with
LLM apps, chatbots, internal copilots, automation flows
What you get
AIPI Score, latency/cost/reliability, time saved, ROI proxy, capacity gain.

For teams on the hook for AI results

AIPIMetrics gives product, data, and finance a single source of truth on AI performance - from latency and cost to time saved and capacity gain. It's built for teams expected to defend AI budgets to leadership without getting lost in logs, custom dashboards, and manual reports.

AI Product Teams

Track AI features across apps, services, and markets. See which experiences are healthy, which silently burn budget, and which should be paused or killed.

Data & Analytics Leaders

Move from sandbox experiments to accountable AI. Report AI impact in language that finance, product, and business leadership use to make decisions.

You're a good fit if…

  • You already run or pilot one or more AI-powered products or internal tools (LLM app, chatbot, internal copilot, automation) with real users or stakeholders.
  • You want to go beyond prompt tweaks and measure AI performance in terms of business KPIs, unit economics, and concrete impact on teams and customers.
  • You care about minimizing data sent to third-party tools and prefer sending only telemetry (latency, errors, cost, and optional impact signals), not raw prompts, end-user content, or sensitive documents.

During the private beta we'll onboard only a small number of teams and work closely with you on your AI impact model.

Plugs into your stack in minutes

You keep your stack. AIPIMetrics adds a thin layer that listens to your AI features via a simple /collect endpoint. It turns raw events into an AIPI Score and business impact metrics you can take straight into reviews and board decks.

  1. 1

    Send metrics

    After each AI request, call /collect from your backend or app. Send latency, errors, cost per request, and—when available—business signals like time saved, units processed, or changes in key conversion events.

  2. 2

    We aggregate & score

    Our platform calculates your AIPI Score and 7d/30d aggregates, giving you a clear performance breakdown, trend, and a dedicated Business & Impact block that connects technical health to outcomes.

  3. 3

    You monitor & decide

    Use the dashboard for daily health checks, product reviews, and exec updates. Answer questions like “Is this AI feature actually worth it?” without building custom reports from scratch.

Measure AI in CFO language.

No more Grafana screenshots, random spreadsheets, or hand-wavy ROI slides. AIPIMetrics merges technical telemetry with business signals into a single model executives understand.

Technical performance (feeds AIPI)

  • Latency & efficiency

    Average latency vs. your target, normalized into an efficiency score your teams can track.

  • Cost per request

    Effective AI infra cost per request vs. target.

  • Reliability

    Error rate and its impact on your AIPI Score and user experience.

  • Accuracy proxy

    Average accuracy estimate (0 - 100%) where you have it.

Business & Impact (separate block)

  • Time saved (h)

    Hours of manual work your AI takes off people's plates, so you can show real capacity freed up.

  • Capacity gain (%)

    How much more output you deliver with the same headcount or seats, not just “time saved” slides.

  • AI utilization (%)

    The share of workflows that actually run through AI instead of legacy/manual paths.

  • ROI proxy (x)

    A quick multiple of value vs. infra cost (time saved × cost per hour vs. AI spend) so you see if it's paying off.

  • Conversion uplift (%)

    Extra customers saying “yes” in AI-powered flows compared to your old baseline.

  • Revenue delta (%)

    Estimated revenue lift that can be attributed to AI usage over the selected window.

  • Strategic time share (%)

    Portion of time teams now spend on higher-value work instead of repetitive tasks because of AI.

  • Infra cost per request (avg)

    Your true average marginal infra cost per AI request, to watch spend drift over time.

  • Request volume

    How many AI events you actually ran in the window—the base for all impact and efficiency metrics.

  • Industry benchmark delta (%)

    How far above or below your industry benchmark your AIPI Score sits, in percentage terms.

Business metrics never override AIPI. The core AIPI Score stays a clean technical performance index; the Business & Impact block tells the ROI story around it.

Ready to see your own AIPI Score? Request Beta Access

Get the numbers without sending us your data.

AIPIMetrics only collects telemetry-level metrics. No prompts, no user content, no documents—just the numbers you need to understand performance and impact while your sensitive data stays in your own systems.

No prompts stored

We never see your prompts, completions, or chat transcripts. You keep all AI inputs and outputs in your own systems.

No user content

Only high-level metrics like latency, errors, cost, and optional impact fields are collected—not raw documents or PII.

Full control

You decide what to track per feature and environment. Start with core telemetry and add business signals when you are ready.

Security-friendly

AIPIMetrics is designed as a low-risk analytics layer that focuses on performance and impact, not storing sensitive application data—making reviews with security, privacy, and risk teams simpler.

You keep control of your data

During the private beta, events and aggregates are stored in a dedicated AIPIMetrics-managed project in a compliant cloud region. If you have specific data residency requirements, mention them when you request early access so we can discuss options. AIPIMetrics is designed to complement your existing observability and data stack, giving you a focused AI performance and impact layer instead of another general-purpose BI tool.

Where AIPIMetrics pays for itself first.

Anywhere you're using AI at scale and need to answer a simple question: “Is this actually worth it?”

Support copilots

Measure handle-time reduction, resolution reliability, and cost per conversation for GPT-powered support flows—and show exactly how much support capacity your copilot frees up.

Internal tools

Track hours saved and capacity gain in AI-assisted code review, document drafting, or research workflows, so you can prove internal tools are more than just “nice to have”.

Public LLM Products

Keep latency, cost, and reliability within budget while giving leadership a clear, consistent impact narrative that goes beyond usage charts and vanity metrics.

Get early access to AIPIMetrics.

  • Data stored in a dedicated AIPIMetrics-managed project in a compliant cloud region during the private beta.
  • Simple HTTP /collect endpoint and TypeScript SDK, ready for most modern stacks.
  • Designed to sit alongside your existing observability tools and BI, not replace them.

Request early access

Request early access. We'll follow up with next steps, dashboard access, and SDK examples so you can start measuring AI impact—not just model performance.

Frequently asked questions

Do I need to move my data to AIPIMetrics?

No. You don't have to replicate your existing databases. During the private beta, events and aggregates are stored in a dedicated AIPIMetrics-managed project in a compliant cloud region. You only send minimal telemetry (latency, errors, cost, and optional business signals), not raw prompts, end-user content, or documents.

What does AIPI actually measure?

AIPI (AI Performance Impact Score) is a normalized index (0 - 100%) combining four pillars: accuracy, efficiency (latency), reliability (errors), and cost per request—against your own targets. Business metrics are tracked separately in the Business & Impact block so the core score stays a clean technical signal.

Do I have to provide all business inputs?

No. Every business field is optional. AIPIMetrics works even if you only send core telemetry (latency, cost, errors). Where data is missing, we fall back to safe defaults and call it out clearly in the dashboard so stakeholders understand the assumptions.

Who is behind AIPIMetrics?

AIPIMetrics is built by a developer who has spent years building data products and internal tools and running into the same problem over and over: how hard it is to answer a simple question, “Is this AI feature actually creating value?” The private beta is intentionally small so we can work closely with early teams and shape the product around real-world decisions.