Services
Practical AI & data work with clear deliverables
AI Automation
Problem
Manual, repetitive workflows consume time and introduce inconsistency.
Solution
Automate tasks with reliable rules + AI where appropriate, with logging and human-in-the-loop checks.
Deliverables
- Workflow mapping
- Automation scripts/services
- Audit-friendly logs
- Operating documentation
Machine Learning Models
Problem
You need better predictions or smarter prioritization, but the model must be maintainable.
Solution
Build a model pipeline with evaluation, monitoring hooks, and clean integration into your product/ops tools.
Deliverables
- Feature & label definition
- Model training + evaluation
- Inference integration
- Monitoring plan
Data Dashboards & Analytics
Problem
KPIs are unclear, data is fragmented, and decision-making is slow.
Solution
Create a consistent metrics layer and dashboards tailored to your team’s workflow.
Deliverables
- KPI definitions
- Data transforms
- Dashboards/reporting views
- Data dictionary & assumptions
Engagement Process
Simple, transparent, and measurable
01
Discovery
Clarify goals, constraints, and data availability.
02
Proposal
Deliver scope, timeline, and acceptance criteria.
03
Build
Implement with iterative demos and feedback.
04
Deploy
Ship with runbooks and handover.
05
Support
Post-launch support and improvements.
FAQ
Common questions
How do you price projects?
What information do you need to start?
How do you handle data confidentiality?
What’s a typical timeline?
Have a specific requirement or timeline?
Tell us your context and we’ll propose a practical next step.