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Voyantis Tech Stack
Prescriptive AI for customer acquisition and retention across paid channels
Voyantis builds prescriptive AI for growth teams, automating customer targeting and engagement across Google, Meta, and TikTok. The stack—Python, PyTorch, XGBoost, CatBoost, paired with Salesforce and Braze—reflects a machine-learning-first approach to paid media optimization. Active projects center on data infrastructure, measurement experiments, and client onboarding automation, while internal pain points (model drift, scaling data pipelines, autonomous agent adoption) indicate the company is transitioning from manual optimization workflows toward fully autonomous systems.
Tech Stack 25 technologies
What Voyantis Is Building
◆Challenges
- Optimizing incentive spend
- Improving unit economics
- Streamlining growth process
- Reducing cost of customer acquisition
- Adopting new signaling strategy
- Managing large monthly budgets
- Replacing manual data flows with autonomous agents
- Model drift
- Maintaining predictive model performance
- Scaling data analysis infrastructure
▲Active Projects
- Building data analysis infrastructure
- Adopting new signaling strategy in paid media ad accounts
- Proof-of-concepts for paid media clients
- Data integration for paid media clients
- Designing and launching measurement experiments
- Design, launch, and measurement experiments across testing methodologies
- Maintain and improve internal processes, dashboards, and reporting frameworks
- Cloud data infrastructure and self-service tooling
- Data governance platform features
- Improving data pipeline and client onboarding process
Hiring Activity
Minimal10 roles · 1 in 30d
Department
Seniority
Company intelligence
