AI product & platform teams
Track AI features across apps, services, and markets. See which experiences are healthy and which silently burn budget.
Private beta Designed for AI product & data teams
Stop guessing if your AI is paying off
AIPIMetrics connects model telemetry with business impact. One unified AIPI™ Score plus a live Business & Impact dashboard that shows if your AI products are actually saving time, reducing cost, and increasing capacity.
No credit card. We're onboarding a small number of teams to shape the roadmap.
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.
Built for teams accountable for AI product impact.
AIPIMetrics gives you a shared language for AI performance - from latency and cost to time saved and capacity gain. Perfect for teams who need to justify AI investments to leadership without drowning in raw logs and ad-hoc dashboards.
Data & analytics leaders
Move from sandbox experiments to accountable AI. Report AI impact in language that finance and business stakeholders understand.
You're a good fit if…
- You already run, pilot, or actively build one or more AI-powered products or internal tools (LLM app, chatbot, internal copilot, automation).
- You want to go beyond prompt tweaks and measure AI performance in terms of business KPIs, unit economics, and strategic impact.
- 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 or end-user content.
During the private beta we'll onboard only a small number of teams and work closely with you on your AI impact model.
How AIPIMetrics plugs into your stack.
You keep your stack. AIPIMetrics adds a thin layer that collects telemetry via a simple /collect endpoint and computes
the AIPI Score and business impact metrics for your AI features.
- 1
Send metrics from your AI features (technical & optional business)
After each AI request, call
/collectfrom your backend or app. Send latency, errors, cost per request, and—when available—business signals like time saved or units processed. - 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.
- 3
You monitor & decide
Use the dashboard for daily health checks and business reviews. Answer questions like “Is this AI feature actually worth it?” without building custom reports from scratch.
The AI performance & impact metrics AIPIMetrics tracks for you.
No more screenshots of Grafana and random spreadsheets. AIPIMetrics merges technical telemetry with business-oriented signals into a single, unified model.
Technical performance (feeds AIPI)
- Latency & efficiency - average latency vs. your target, normalized into an efficiency score.
- Cost per request - effective AI infra cost per request vs. target.
- Reliability - error rate and its impact on your AIPI Score.
- 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.
- AI utilization (%) - share of events or workflows already powered by AI.
- ROI proxy (x) - time saved × cost per hour vs. AI infra cost.
- 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.
Built for privacy-conscious teams.
AIPIMetrics only collects telemetry-level metrics. No prompts, no user content, no sensitive documents—just the numbers you need to understand performance and impact.
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 metadata-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.
You keep control of your data
During the private beta, events and aggregates are stored in an AIPIMetrics-managed project in an EU data region. AIPIMetrics is designed to complement your existing observability and data stack, not replace it.
Where AIPIMetrics delivers the most value.
Anywhere you're using AI at scale and need to answer a simple question: “Is this actually worth it?”
Customer support copilots
Measure handle-time reduction, resolution reliability, and cost per conversation for GPT-powered support flows.
Internal productivity tools
Track hours saved and capacity gain in AI-assisted code review, document drafting, or research workflows.
Public LLM products
Keep latency, cost, and reliability within budget while showing leadership a clear, consistent impact narrative.
Get early access to AIPIMetrics.
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 iterate on the impact model together.
- • Data stored in an AIPIMetrics-managed project in an EU data region.
- • Simple HTTP
/collectendpoint and TypeScript SDK. - • Designed to work alongside your existing observability tools.
Request early access
We'll get back to you with next steps and access to the dashboard, including SDK examples and setup instructions.
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 an AIPIMetrics-managed project in an EU data region. You only send minimal telemetry (latency, errors, cost, and optional business signals), not raw prompts or end-user content.
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.
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 explain them via notes in the dashboard.
Who is behind AIPIMetrics?
AIPIMetrics is built by a developer who has spent years building data products and internal tools, frustrated by 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.