Services for Growing Companies
Unlike big consulting firms, we build and deploy—not just advise.
Data & AI Strategy for Scale
The Growth Challenge: Growth companies hit data scaling walls that slow product development and customer expansion.
What We Deliver:
- Technical roadmaps that avoid common scaling pitfalls:
- Architecture designs that grow with your user base:
- Technology stack selection optimized for rapid iteration:
- Legacy system modernization without business disruption:
- Team capacity planning for 2-5x growth scenarios:
Engagement & Outcomes:
Typical Engagement: 2-4 weeks: Strategic assessment and planning
Key Technologies Considered:
Key Outcomes:
- Actionable data strategy and roadmap
- Scalable data architecture blueprint
- Data governance framework proposal
Customer-Facing AI Products
The Growth Challenge: Building AI features that customers actually use and pay for, not just internal tools.
What We Deliver:
- Production ML/AI APIs that serve customers directly
- Real-time recommendation and personalization systems
- AI-powered customer workflows and automation
- Vector databases and RAG systems for knowledge products
- A/B testing frameworks for AI feature optimization
Engagement & Outcomes:
Typical Engagement: 3-9 months implementation
Key Outcomes:
- Revenue-generating AI features
- Scalable inference systems
- Customer engagement growth
Technologies We Use:
Team Development
The Growth Challenge: Scaling engineering capacity effectively, whether augmenting your current team, building new specialized units, or establishing cost-efficient offshore operations, while maintaining quality and cultural alignment.
What We Deliver:
- Onshore team augmentation and direct hiring support.
- Skill development and maturation programs for existing engineers.
- End-to-end offshore team establishment (Latin America focus) for SOW projects or long-term partnerships.
- Cultural integration strategies and cross-functional communication processes.
- Technical mentorship, best practices, and quality assurance frameworks.
- Flexible engagement models: project-based (SOW) or dedicated long-term teams.
Engagement & Outcomes:
Typical Engagement: Customized: Project SOWs (3-12 months), Long-term team partnerships (ongoing)
Specialties: Senior data engineers, ML engineers, platform engineers, full-stack developers
Key Outcomes:
- Scaled engineering velocity and capacity.
- Enhanced skillset within existing teams.
- Integrated and high-performing onshore/offshore teams.
- Significant cost efficiencies with offshore options.
- Flexible resource allocation to meet dynamic project needs.
Modern Data Platform Development
The Growth Challenge: Legacy systems that can't scale with customer growth and team velocity needs.
What We Deliver:
- Cloud-native data platforms built for rapid iteration
- Automated MLOps and deployment pipelines
- Real-time data processing and streaming systems
- Modern ETL/ELT with automated monitoring
- Platform engineering for data team productivity
Engagement & Outcomes:
Typical Engagement: 4-8 months platform development
Key Outcomes:
- Self-service data platforms
- Automated deployments
- 3x faster feature delivery