Akkio builds an AI-powered analytics platform targeting media agencies. The tech stack—BigQuery, Databricks, Snowflake, Python, RAG, plus Kubernetes and Docker—indicates a data-intensive backend designed to handle large-scale ingestion and model serving. The project list reveals a mature go-to-market: pre-sales POCs, production implementation, and customer-facing AI agents dominate alongside core platform development. Hiring is heavily skewed toward senior engineers (7 of 10 roles), suggesting they're scaling backend infrastructure and data-processing systems to address a stated pain point around handling large data volumes.
Tech Stack 22 technologies
Core StackBigQuery Databricks Snowflake Python RAG AWS Docker Kubernetes Node.js Vue TypeScript React Vite Webpack Figma SQL GCP Azure Git HTML CSS Replit
What Akkio Is Building
◆Challenges
- Meeting growing demand
- Complex cross-functional initiatives
- Scaling enterprise solutions
- Risk anticipation and mitigation
- Scaling backend for large data volumes
- Balancing tech debt with feature development
- Complex ai-powered data analytics
- Scalable data processing systems
- System reliability improvement
- Scale data activation for media agencies
▲Active Projects
- Data visualization dashboards for marketing analytics
- Ai-powered marketing analytics platform
- Pre-sales proofs-of-concept (pocs)
- Post-sales implementation to customer production
- Customization & configuration of akkio’s core product
- Customer-facing ai agents
- Ai-driven data analytics platform infrastructure
- Ai/ml model deployment infrastructure
- Scalable data processing systems
- Pre-sales solution mapping
Hiring Activity
Steady10 roles · 3 in 30d
Department
Seniority
Company intelligence
