Starter
From $500A single model, dashboard or automation
- One AI/ML feature or automation
- Basic reporting dashboard
- Data cleaned & pipelined once
Favtoma Technologies
AI and Data
AI and machine-learning integration, data engineering and analytics — turning raw data and research into products that ship.
Packages
Pick a starting point — every engagement is scoped to fit.
Growth
From $2,000Applied AI & analytics platform
- Custom model integration into a product
- Data engineering pipeline (scheduled)
- BI dashboards across the team
- 3 months post-launch support
Enterprise
CustomResearch to production
- R&D-commercialisation engineering
- Multi-source data architecture
- Ongoing model monitoring & retraining
Services & process
What we deliver, and how we get there.
AI & Machine-Learning Integration
Models built and wired into real products — not a notebook that never ships.
01
Define
Pin down the decision or prediction the model actually needs to make.
02
Prototype
Fast, testable model against real (or representative) data.
03
Integrate
Wire the model into the product, with a fallback for when it is wrong.
04
Monitor
Track performance in production and retrain as data drifts.
Data Engineering, Analytics & Dashboards
Clean, reliable pipelines feeding dashboards people actually trust.
01
Audit
Map where data currently lives and how it moves (or doesn't).
02
Pipeline
Build ingestion and transformation that runs on schedule, unattended.
03
Model
Structure the data so it answers the questions the business asks.
04
Visualise
Dashboards built for the decisions they support, not vanity metrics.
Business Intelligence
Turning scattered reporting into one source of truth leadership actually checks.
01
Consolidate
Bring reporting out of spreadsheets and into one system.
02
Define metrics
Agree what "good" looks like, so numbers mean the same thing to everyone.
03
Automate
Reports that update themselves instead of a weekly manual pull.
04
Review
A regular cadence for the numbers to actually change decisions.
R&D-Commercialisation Engineering
Taking a promising research idea or dataset and engineering it into a deployable product.
01
Assess
Evaluate the research or IP for what is actually buildable.
02
De-risk
Prove the riskiest technical assumption first, cheaply.
03
Build
Engineer a production-grade version of what worked in research.
04
Commercialise
Package it as a product or service ready for a real customer.
Have data or a model idea to put to work?
Tell us about your project, study or idea — and let's see what's possible.
Get in touch