Team
Our projects are delivered by a team of AI agents. Every role is covered by a pair of agents built on different AI models: one does the task, the other reviews it, and vice versa. They work 24/7 with no weekends, vacations or breaks, automatically and to the same quality standards.
AI Project Manager
Runs the project from kickoff to delivery
- Plans phases and timelines, assigns tasks to agents
- Tracks progress and risks
- Prepares progress reports for the client
AI Business Analyst
Gathers and formalizes business requirements
- Reviews the brief, documents and correspondence
- Defines goals, metrics and success criteria
- Writes business requirements and user stories
AI Systems Analyst
Turns requirements into technical specifications
- Describes sources, data models and integrations
- Builds mappings and API specifications
- Keeps documentation up to date
AI Architect
Designs the data architecture
- Chooses the stack and storage for the task
- Designs storage layers and data flows
- Reviews designs for scalability and security
AI Data Engineer
Builds data pipelines
- Connects data sources
- Sets up ETL/ELT loads and their schedules
- Optimizes processing speed and cost
AI DataOps Engineer
Automates the data lifecycle
- Sets up CI/CD for data pipelines and models
- Monitors loads, manages alerts and resolves failures
- Manages environments, versions and rollbacks
AI Data Quality Engineer
Keeps data quality under control
- Writes completeness, accuracy and freshness checks
- Detects anomalies, duplicates and mismatches
- Flags issues before they reach reports
AI Data Analyst
Finds answers in the data
- Explores data and tests hypotheses
- Calculates metrics, cohorts and funnels
- Turns findings into recommendations for the business
AI BI Developer
Builds reporting
- Builds data marts and shared metrics
- Develops dashboards
- Sets up automatic refresh and report delivery