Ship AI features built on evidence, not assumptions.

Lovelaice is the sandbox for your AI features.

OpenAIOpenAI
Anthropic
Google Gemini
AWS Bedrock
OpenRouter
Perplexity
DeepSeek
Mistral AI

Wherever your team is right now, one of these probably feels familiar.

01

"It's on the roadmap."

You've been saying that for two quarters. Every AI exploration needs engineering, and engineering is busy. The ideas keep piling, but the bandwidth doesn't.

02

"It's live... we think it's fine?"

You vibe-checked a few examples and shipped. You'd rather not find out the edge cases from a customer complaint.

03

"How's our AI doing?" "...good question."

Leadership wants a number. Your monitoring is Slack threads and spot checks. The dashboard you need doesn't exist yet.

04

"We upgraded the model. Then the complaints started."

You found out a month later — from users. There was no alert, no dashboard, no process. Just inbox messages and a very uncomfortable sprint review.

Why are AI features so difficult to get right?

When you only "vibe check" the answers, your users are experiencing silent failures. They don't complain and you never know they left.

The people that know what good looks like, they are locked out of testing and validating AI quality, as it defaults to engineering.

Product teams have been here before.

Before Amplitude, features were built on what management thought users wanted. Then data proved them wrong — on almost every decision.

AI is at that same inflection point. Teams are shipping AI features on instinct, model defaults, and crossed fingers. The ones that will win are the ones that bring data to AI decisions the same way they brought data to product decisions.

Ship confidently with Lovelaice

Product overview

Experiment with AI using your real product data

Move beyond assumptions and test AI ideas in real scenarios. Lovelaice enables product teams to safely experiment, validate outcomes, and make confident implementation decisions.

Experiment with AI using your real product data
  • Run experiments using real datasets
  • Validate model performance instantly
  • Reduce costly implementation risks
  • Align teams around measurable results
Model comparison

Compare models side-by-side

Evaluate multiple AI models simultaneously and understand performance differences before making deployment decisions.

Compare models side-by-side
  • Compare outputs in real time
  • Identify best-performing models
  • Optimize cost vs performance
  • Make faster product decisions
Analysis & insights

Gain expert-level AI insights instantly

Your domain expertise is your advantage. Lovelaice surfaces patterns, failure modes, and improvement paths — so the people who know your users best are the ones steering your AI, not just watching from the sidelines.

Gain expert-level AI insights instantly
  • Automated evaluation insights
  • Performance benchmarking
  • Risk visibility before deployment
  • Data-driven decision support
Product feature

See how Lovelaice works in real workflows

Discover how product teams experiment with AI models, compare results, and gain actionable insights — all within a collaborative experimentation environment.

  • Test AI ideas using real data
  • Compare multiple models instantly
  • Gain automated performance insights
  • Share validated knowledge across teams

Test, prove, and build with Lovelaice

Exploring?

Upload data, test across models, get your first results in hours. Walk into your next meeting with evidence instead of assumptions.

Validating?

Run 50-200 scenarios including edge cases. Teams typically discover models that cost 40-60% less than what they assumed they needed.

Already live?

Create a dashboard for accuracy, latency, and cost. See problems forming before your users feel them.

Improving?

Experiment against your production baseline. Every result is captured automatically, and your tenth AI feature can ship in days.

Not sure where to start?

Take our 3-minute AI evaluation quiz and get a personalized report on your team's AI maturity level and how it compares to our benchmarks.

Take the quiz
Comparison

Stop guessing. Start knowing.

Move beyond trial and error. Validate AI performance, compare outcomes, and deploy solutions with confidence using real experimentation data.

Ship and hope

CancelChoose GPT-4 because 'it's the best'

CancelCost: $847/month on models you never validated

CancelTest on 3-10 happy path examples

CancelWrite one prompt, then deploy

CancelPMs waiting on engineering

CancelLearnings stay in scattered docs

Wherever you are with AI, that's a good place to start

Bring your data, run your first experiment, and see results in one session. We'll guide you through the entire process.

Start for free

FAQ