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.
Private beta 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.
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.
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
Send metrics
After each AI request, call
/collectfrom 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
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
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) - cumulative hours saved compared to manual work.
- Capacity gain (%) - output growth vs. baseline units or teams.
- AI utilization (%) - share of events or workflows already powered by AI.
- ROI proxy (x) - time saved × cost per hour vs. AI infra cost, giving you a quick read on AI payback.
- Conversion uplift (%) - improvement in conversion rate for AI-powered flows.
- Revenue delta (%) - revenue impact attributed to AI features.
- Strategic time share (%) - share of time moved from repetitive tasks to higher-value work.
- Infra cost per request (avg) - aggregated long-term infra cost per request when provided.
- Request volume - total AI events in the window.
- Industry benchmark delta - your AIPI vs. your industry benchmark.
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 (and help prove your AI ROI).
Tell us a bit about your AI stack and what you want to measure. We'll onboard a small number of teams, help you wire the SDK, and work with you directly on an impact model that shows what's working—and what isn't.
- • Data stored in a dedicated AIPIMetrics-managed project in a compliant cloud region during the private beta.
- • Simple HTTP
/collectendpoint and TypeScript SDK, ready for most modern stacks. - • Designed to sit alongside your existing observability tools and BI, not replace them.
Request early access
We'll get back to you with next steps, access to the dashboard, 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.