Pavo Enterprise
The metrics that matter,moved in weeks.
Pavo audits the surfaces where revenue leaks, then tests every fix as a controlled experiment.
Across these surfaces
6How it works
Pavo starts by learning how you actually work.Then it tests every approach worth trying.
Pavo works inside the systems and workflows you already run—your team reviews every change before it ships.
The operating model
One metric. Multiple approaches. A faster path to production.
Pavo starts from your business objective. Over 8 weeks, a Pavo scientist embeds with your team to evaluate multiple approaches in parallel and prove the winner in a live A/B.
Stage
Leaves behind
Evidence returns to W1
A Pavo scientist works inside your team at each decision—the metric, the evaluation, and the production call.
Case studies
All case studies
How Seekho replaced broadcast blasts with category-level personalization
Pavo mapped the notification system, fixed the signal driving it, and ran a phased program from four interest groups to sixteen category segments.
Read the story+43%
Notification click-through rate
+94%
Second-video initiation
- Dashverse
How Dashverse lifted Shortfree Autoplay activation with an offline-eval loop
Pavo built an offline-eval engine to screen ~50 candidate policies without live traffic, then shipped the one variant that moved activation in production.
Read the story+3.1pp
Autoplay activation, live in production
~50
Policies screened offline before one reached users
Compounding advantage
Pavo gets faster as its understanding of the product deepens.
Every experiment leaves behind reusable context, evaluations, skills, and integrations. Each loop starts further along than the one before it, so the same team answers harder questions in less time.
| Metric | A/B test loop 1 Measure | A/B test loop 2 Segment | A/B test loop 3 Specialize | A/B test loop 4 Route |
|---|---|---|---|---|
| Scientific cycle time | ~5 weeks | ~3 weeks | 8–9 days | ~5 days |
| Knowledge reused | — | ~25% | ~55% | ~75% |
| Product understanding gained | Evaluation was biased | Personalization helps some users and hurts others | Different user states need different policies | Route each user to the policy that works best |
| Production approach | Global policies | Segment-aware policies | Segment-specific interventions | Production policy router |
Deployment and onboarding
Pavo works on top of your current stack.
Choose the deployment that fits your security posture. Then connect, verify, and hand Pavo the first problem statement without rebuilding your stack.
Runs inside your cloud account. Your IAM, network, and data policies stay in force.
Connect
- Warehouse
- Codebase
- Experimentation platforms
- Docs
Read access
Your cloud boundary
Your environment
Systems + data
Your IAM · network · data policies
Customer controlled
Pavo runtime
Your account · your region
Connect only
what Pavo needsRead access only. No migration, no new pipelines, no rearchitecting.
Less than an hour
from your engineersYou grant credentials through existing controls. Pavo does the rest.
Production stays behind
your approval gateEvery proposed change is tested in an isolated environment first.
Start with one metric
to moveOne surface, one owner, clear guardrails. Prove it before you expand.
Security and trust
The security posture your compliance team wants
ISO 27001
Certified
SOC 2 Type II
Compliant
Encryption
Encrypted in transit and at rest, with managed production keys.
Access control
Least-privilege access, enforced with MFA and reviewed quarterly.
Data control
Tenant-segmented, with retention and customer-controlled deletion.
Monitoring and response
Continuously monitored, centrally logged, and ready to respond.
Tested and patched
Independently pen-tested, scanned, and kept current against threats.
Resilient by design
Multi-AZ with backups and a tested continuity and recovery plan.
Full reports, policies, and the complete control list are available on request through the Trust Center.
The Enterprise trial
One important system.
One measurable objective.
One production improvement loop.
What the trial contains
- 01Problem-formulation workshop
- 02Agreed success criteria
- 03Platform and context setup
- 04Existing-stack integration plan
- 05Initial candidate approaches
- 06Offline evaluation
- 07Production experiment recommendation
- 08Expansion plan if the trial succeeds