Build, deploy, and scale autonomous AI agents with expert human oversight
Connect your AI agent to App Store data
Stage
Established
Not given
Founded
2021
Not given
Based in
US
Not given
Pricing model
Contact for pricing
Freemium
Pricing
Fixed monthly subscription with custom pricing based on user licenses and needs. No hidden fees, annual subscriptions with monthly payments. 2-day expert-led discovery workshop costs are 100% credited toward subscription pricing.
Free tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip
Key features
Enterprise Context Engine™ to structure organizational knowledge for AI decisions
Agentic AI agents that scan, test and act on data on schedule or on demand
No data migration required; connects to existing systems
700+ prebuilt data connectors and integrations
Deployment on AWS, Azure, or GCP with flexible hosting options
Enterprise compliance: SOC 2 Type II, HIPAA, GDPR, ISO 42001
Model-agnostic platform working with existing enterprise infrastructure
Compounding Intelligence where each solution builds on the last
Transparent and auditable workflows with full lineage tracking
Expert-led 2-day discovery workshops with PhD-level data scientists
23 MCP tools for iOS app analysis
Keyword ranking history by storefront
Competitor tracking and keyword overlap inspection
Apple Ads campaign data integration
RevenueCat subscription and revenue snapshots
Read-only Apple Ads tools
Hosted MCP endpoint with remote access
What makes it different
Hybrid Approach™ pairing agentic AI with human expert oversight for accountability
Production-ready AI in weeks, not months
70% faster from start to go-live year over year
Outcome-based guarantees and PoC engagements for risk-free transformation
Full platform access for unlimited solution creation and deployment
Maintains separate data boundaries between sources to avoid false attribution
Separates missing ranks from measured drops in analysis
Connects paid and organic data with revenue context in one investigation
RapidCanvas
Storewake