AI Teammate that
It understands your business context and is obsessed with moving metrics—exploring opportunities, sizing impact, running offline experiments, and implementing changes across all ML surfaces.
Built by a world class team from
Turn vague questions into testable data hypotheses automatically.
Built by a world class team from
“I'm excited to see how Pavo created that hypothesis space… this can create a lot of value.”
“This is brain dead. Right now I was going to go get contractor budget to get few data scientists to find gaps… Pavo can do that now.”
“This is brilliant! We currently don't have a really good way of crossing out ideas and say, okay, this thing is not working, let's not do this or this thing is working, let's do this.”
“This is super interesting. It fixes the bottleneck that prevents us from doing broad explorations (resources, dependencies).”
“I love this. I want to dump a bunch of ideas on Friday, and come back on Sunday to see what the offline evals look like.”
“We get limited by the data science team's bandwidth… realistically how much can they really do? I can see Pavo fixing this.”
“This can fix the biggest bottleneck that we see – which is feature exploration.”
“I'm excited to see how Pavo created that hypothesis space… this can create a lot of value.”
“This is brain dead. Right now I was going to go get contractor budget to get few data scientists to find gaps… Pavo can do that now.”
“This is brilliant! We currently don't have a really good way of crossing out ideas and say, okay, this thing is not working, let's not do this or this thing is working, let's do this.”
“This is super interesting. It fixes the bottleneck that prevents us from doing broad explorations (resources, dependencies).”
“I love this. I want to dump a bunch of ideas on Friday, and come back on Sunday to see what the offline evals look like.”
“We get limited by the data science team's bandwidth… realistically how much can they really do? I can see Pavo fixing this.”
“This can fix the biggest bottleneck that we see – which is feature exploration.”
“I'm excited to see how Pavo created that hypothesis space… this can create a lot of value.”
“This is brain dead. Right now I was going to go get contractor budget to get few data scientists to find gaps… Pavo can do that now.”
“This is brilliant! We currently don't have a really good way of crossing out ideas and say, okay, this thing is not working, let's not do this or this thing is working, let's do this.”
“This is super interesting. It fixes the bottleneck that prevents us from doing broad explorations (resources, dependencies).”
“I love this. I want to dump a bunch of ideas on Friday, and come back on Sunday to see what the offline evals look like.”
“We get limited by the data science team's bandwidth… realistically how much can they really do? I can see Pavo fixing this.”
“This can fix the biggest bottleneck that we see – which is feature exploration.”
The Full-Stack Intelligence System
Analysis, modeling, deployment — unified
Pavo combines the capabilities of a product analyst, data scientist, ML engineer, data engineer, and ML systems engineer—all working together to move your metrics.
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Segment Analysis
Cohort Comparison
Behavioral pattern
Hypothesis Generation
The Product Analyst
Pavo thinks like a senior product analyst: it understands the nuance behind any KPI question, traces signals across funnels, cohorts, and experiments, and turns vague business prompts into crisp, testable product hypotheses.
The Data Scientist
Pavo reasons over your historical data, uncovers non-obvious patterns, and quantifies impact—designing analyses, tests, and scenario models the way a data scientist would when asked, “What’s really driving this metric?”
The ML Engineer
Pavo autonomously builds, trains, and validates machine learning models, transforming insights into deployable intelligence tuned for your product environment—exactly what an ML engineer does.
The Data Engineer
Pavo behaves like a meticulous data engineer, stitching together messy sources, enforcing contracts and quality checks, and preparing reliable, analytics-ready tables so every downstream workflow can be trusted.
Pushing model to production memory space...
Deploying trained model to live inference layer…
LOGS
>Uploading model weights (342MB)... done
>Starting endpoint inference @ us-east-1... OK
We're live! I'll now watch the real-world lift unfold.
The ML Systems Engineer
Pavo deploys models into live systems, continuously monitors drift and impact, and refines strategies to maximize sustained improvement over time—just like an ML systems engineer running production AI at scale.
And, the foundation of Autonomy is Tribal Knowledge
Deep understanding leads to better hypotheses, sharper experiments, and faster metric movement.
Tribal Knowledge is the foundation that makes Pavo accurate, autonomous, and continuously compounding.
Mapping enterprise tribal knowledge...
[Why this matters]
When one system performs the work of an entire ML org, something new becomes possible.
Manual teams can only test a handful of ideas. Pavo removes that limit.
More explorations
Test everything without overhead. Cycle through ideas rapidly until you find what moves the needle.
Months to days
Compress roadmaps and move at unprecedented speed. Build ML strategies that scale long term.
A force multiplier for Product, ML, and Data Science teams.
See how Pavo can help you
Pick your industry to see the metrics Pavo moves
Pavo improves the levers that matter:
Efficient teams work with Pavo, to move metrics. Fast.
From diagnosing metric drops to deploying solutions, Pavo autonomously runs investigations, builds models, and executes experiments accelerating metric improvement loops from months to days.
Metric Improvement
Apr 1 - Oct 25
+125x faster improvement
Slow improvement is guessing. Fast improvement is compounding.
Manual
+5%
With Pavo
+45%
Enterprise Grade Security
Built for modern enterprise stacks with private deployment, continuous compliance, and zero data egress by design.
Deploy Securely in Your Own Environment
Host Pavo directly inside your VPC on AWS or GCP, ensuring your data never leaves your infrastructure.
Enterprise-Grade Compliance & Encryption
SOC 2–compliant from day one, with robust end-to-end encryption safeguarding data in transit and at rest.
Complete Transparency & Auditability
Maintain full visibility with comprehensive audit logs tracking every action, access events across entire system.
Building Enterprise Superintelligence
Our experimental hub for frontier ideas, rapid prototypes, and next-generation data intelligence. Explore the future of product growth before it goes mainstream.