The challenge
Where teams get stuck
The problems we're most often brought in to solve.
- 01
Planning by intuition
Forecasts are built in spreadsheets from last year's figures and miss shifts in demand or risk.
- 02
Predictions that go unused
Previous models produced reports that never reached the tools people use every day.
- 03
No measure of forecast accuracy
No one tracks how forecasts compared with what actually happened.
Overview
Predictive & Prescriptive Analytics at VulcanTech
Predictive analytics uses historical data and statistical or machine learning models to forecast future outcomes; prescriptive analytics turns those forecasts into recommended actions. VulcanTech engineers models that forecast demand, risk, churn, maintenance needs or environmental conditions. For the Government of the Punjab, we built a model producing 72-hour air-quality forecasts within a GIS dashboard. Forecasts carry uncertainty ranges and are tracked against actual outcomes.
Key deliverables
- Data assessment and feasibility report
- Forecasting or scoring model
- Automated data and prediction pipeline
- Dashboard or system integration
- Accuracy tracking report
What you get
What Predictive & Prescriptive Analytics includes
Time-series forecasting
Forecasts for demand, sales, capacity, sensor readings or environmental conditions over defined horizons.
Risk and propensity scoring
Scores for churn, default, fraud or conversion likelihood that prioritise where to act first.
Uncertainty ranges
Prediction intervals alongside point forecasts so planners understand the likely range of outcomes.
Dashboards and GIS views
Forecasts presented in dashboards and maps, or embedded in existing business systems.
Forecast-versus-actual tracking
Automatic comparison of predictions with outcomes to monitor accuracy over time.
Scheduled retraining
Pipelines refresh data and retrain models on a schedule as new history accumulates.
More in Machine Intelligence & Predictive Analytics
Related services
Our process
How we deliver
A delivery process you can see into — from first workshop to production support.
- 01
Discovery
A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.
- 02
Architecture & planning
We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.
- 03
Iterative delivery
Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.
- 04
Assurance & hardening
Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.
- 05
Launch & continuity
We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.
Engagement models
Work with us the way that suits you
Outcome-based delivery
A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.
Best for: Well-defined initiatives, MVPs and first releases
Dedicated product teams
A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.
Best for: Long-term product development and evolving roadmaps
Team extension
Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.
Best for: Adding specialist capability without growing headcount
Tools & technologies
The stack we build with
- Python
- scikit-learn
- XGBoost
- Prophet
- Apache Airflow
- PostgreSQL
- Power BI
Why VulcanTech
A partner, not a vendor
Senior engineering, honest delivery, and work we can name.
Senior engineers own delivery
The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.
Engagement models that fit
Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.
A verifiable track record
Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.
80+ projects in 16 countries
Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.
Customer stories
Proven delivery
Public tenderPublic Sector & Government · PakistanPunjab's environment department gives citizens live, forecast-led air-quality intelligenceEPCCD, Government of the PunjabRead the story 
Healthcare & Life Sciences · GlobalHealthcare partner gains a deep-learning model for medical image triageConfidential Healthcare Partner (NDA)Read the story 
Security & Surveillance · GlobalSecurity technology partner turns passive camera feeds into real-time, AI-driven alertsConfidential Security Technology Partner (NDA)Read the story
Resources
Latest insights
FAQ
Frequently asked questions
Can't find what you need? Ask us in the discovery session.
Free discovery session
Start your Predictive & Prescriptive Analytics project
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
New projects & sales
[email protected]Existing clients & support
[email protected]