Experimentation platform with AB department infrastructure
Everything you need for a fully operational AB department: request intake, planning, professional statistics, archive, and performance analytics
Everything you need for a fully operational AB department: request intake, planning, professional statistics, archive, and performance analytics
No need to build complex infrastructure. Just three components β and you have a complete startup AB department with processes and analysis.
Any traffic splitting system convenient for you
β’ Many ready solutions
β’ Paid and free options
β’ Or your own development
Complete department infrastructure
β’ Customer request processing
β’ Backlog planning
β’ All the math under the hood
β’ Results storage
β’ Team sharing
β’ Team performance analytics
Analyst or manager for infrastructure management
β’ Processes requests
β’ Launches experiments
β’ Shares results
All necessary infrastructure in days, not months
Team submits experiment requests in one place. No Notion, Jira, and Excel spreadsheets
Data flows from your system via API automatically. Forget manual exports
Each test with all metrics, segmentation, conclusions, and recommendations in a unified format
Experiment calendar, duration calculation, overlap control. Full planning infrastructure
All employees can view experiment results. Transparency and team learning
Knowledge base for retrospectives and onboarding new team members. Department memory
Win rate, launch speed, team efficiency. Metrics for department management and strategy improvement tips
All modern analysis methods available with one click, no manual calculations
Automatic interpretation of results and generation of conclusions for the team
Simple and clear process from idea to results
Any company employee creates a card in the "Hypotheses" section and describes what they want to test
Analyst calculates required experiment duration and plans launch dates in the calendar
Analyst launches the experiment in your split system and starts collecting data
Experiment data automatically flows into AB-Labz for health monitoring and results analysis
Analyst launches statistics calculation with one button β the system automatically selects methods and calculates everything needed
AI assistant analyzes results and automatically writes clear conclusions, recommendations, and ideas for future experiments
Analyst shares a link to results with the team β everyone can review conclusions and experiment data
From idea to results β all in one system
Analyst spends minutes instead of hours at each stage, and the team gets full transparency of the process
AB-Labz optimizes experimentation routine. Let analysts focus on research
AB team speed boost
analyst to manage entire department
format style for all experiments
Manual scripts
No need to keep hypotheses in Notion, calculations in Python scripts, and results in Confluence. AB-Labz is a unified space where an idea goes through the complete journey from conception to statistical validation.
Modern professional analysis methods with one click, no manual calculations
Automatic validation of 10+ distribution characteristics to select the best data preparation method
Right statistical test for each metric based on its type and distribution characteristics
Correct conclusions even on small samples
Early stopping without losing correctness
Don't wait months for sufficient data. AB-Labz applies advanced statistical methods for correct work with limited data volumes.
Get reliable confidence intervals even on samples of a few hundred observations
Stop experiments early with prediction of significance achievement probability
All methods account for small sample specifics and don't increase false positive rate
In classical A/B testing, premature viewing of results leads to statistical distortion. AB-Labz applies sequential testing, allowing you to track experiment success probability during its execution.
Forecast shows where experiment is heading without violating statistical correctness
Automatic validation of correct user distribution between groups
See how much is collected and how much remains until planned experiment size
No need to interpret statistics yourself. AI analyzes experiment results and prepares clear conclusions in one click.
Automatic formation of textual conclusions based on experiment results with statistics interpretation
AI provides specific recommendations: roll out changes, continue test, or reject hypothesis
Based on current results, AI suggests ideas for next hypotheses and experiments
Running tests is not enough β it's important to analyze the entire history. AB-Labz aggregates statistics across all experiments and identifies patterns, helping the team grow and improve hypothesis quality.
Win rate, average test duration, most effective metrics β all company statistics in one place
AI analyzes dozens of experiments and finds systemic issues: low win rate on mobile, too short tests, frequent SRM violations
Team sees what works and what doesn't. Gradually win rate and experimentation efficiency increase
Connect your system via REST API. All experiments will automatically appear in the interface, ready for analysis.
Set up data sending once β no more manual uploads needed
Data loads automatically on convenient schedule
REST API with authentication and data validation
AB-Labz is in closed beta testing. We're looking for teams to help us make the product better.
Full functionality
First 3 months after beta
Your feedback will be prioritized
Closed beta test will run until March 31, 2026
Not necessarily. The system automatically selects methods and identifies data issues, and the AI assistant helps understand the tables. But having an analyst with statistical understanding will help correctly interpret results in complex cases.
AB-Labz doesn't manage splitting β your system does that. We focus on professional statistical analysis and process management. Adaptive methods, smart preprocessing, small sample tools β things standard platforms don't have.
No. The system automatically selects methods and prepares data. But we provide detailed documentation so you can correctly interpret results.
Yes. You manage traffic in your system and analyze in AB-Labz. AB-Labz connects directly to prepared data mart, not raw logs.
Any: conversions, averages (LTV, revenue), ratios (CTR, average check). The system automatically selects the right test and data preprocessing for each metric type.
We use Monte Carlo resampling and Bayesian forecasting for correct work with samples starting from 300 observations per group.
Data is stored encrypted during the experiment and deleted after analysis completion. API uses Bearer tokens for authentication. Each organization is isolated.
Yes. You can analyze experiments with any number of groups. The system automatically determines group count and applies appropriate test classes and data preprocessing.
To participate in beta testing, register on AB-Labz Workbench and send us a message through the feedback form.
