01
Validate with marketing operations teams before writing code
Our dual-track methodology puts prototypes in front of marketing ops. We observe workflow bottlenecks and data quality challenges.
06
MarTech
MarTech platforms that survive disconnected data and fragmented tool ecosystems
Series A/B marketing technology companies need platforms that unify customer data from dozens of sources, integrate with 15,000+ existing martech tools, and process millions of events in real-time.
The Challenge
Key MarTech challenges we solve
Most software development companies don't understand these constraints. They build data platforms that can't handle identity resolution at scale. They design marketing automation that breaks when integrated with CRM and analytics tools. They create attribution models that violate privacy regulations.
Data integration—61% of marketing teams struggle to activate data effectively
Identity resolution across anonymous visitors, email, mobile, and in-store
Composable architecture expected with data warehouses like Snowflake
Privacy compliance with GDPR, CCPA, and constantly changing regulations
Our Solutions
How we help MarTech companies win
02
Design for data integration reality
We implement schema-on-read for inconsistent formats, create validation pipelines that clean without blocking, and build probabilistic identity matching.
03
Architect for composability and modularity
APIs for cloud data warehouses, activation modules that work independently, reverse ETL patterns, and workflow orchestration across fragmented tools.
04
Implement privacy compliance from day one
Consent management across jurisdictions, data deletion processes, audit logging for investigations, and flexibility for evolving regulations.
Results
Proven MarTech impact
15K+
martech tools our platforms integrate with.
62
average tools in enterprise marketing stacks.
Ready to transform your MarTech product?
Let's discuss how our MarTech expertise can accelerate your roadmap and help you build AI-powered products that users love.