You're reacting to problems instead of seeing them coming.
Forecasting models that flag what's likely to happen before it does.
Service
Predictive Analytics
Forecasting, machine learning models, customer insights, and business prediction systems.
Sound Familiar?
The problems we get called in to fix.
If you recognise two or three of these, it's worth a conversation.
You don't know which customers are about to churn.
Customer insight models built to flag risk and opportunity early.
Your team debates predictions instead of trusting a model.
Business prediction systems trained on your real data, not generic assumptions.
You only find out about a problem after it's already hurt the business.
Models built to flag risk while there's still time to act.
Your forecasts are last year's numbers with a guess added.
Forecasting built on real patterns in your own data.
Nobody on the team trusts a 'black box' prediction.
Models explained in plain terms, not delivered as an unexplainable number.
In Short
What predictive analytics involves.
Predictive analytics uses your own history to estimate what happens next: which products will sell, which customers might leave, which leads are worth calling first. We start with the data you have, check whether it can support a reliable model, and only then build one — with its accuracy measured and shown in the tools your team already uses.
Trusted by 40+ companies
What's Included
Where this service applies.
Not an upsell list — this is what's actually covered under predictive analytics.
Forecasting is included in Predictive Analytics, scoped in your written quote.
Machine learning models is included in Predictive Analytics, scoped in your written quote.
Customer insights is included in Predictive Analytics, scoped in your written quote.
Business prediction systems is included in Predictive Analytics, scoped in your written quote.
Forecasting
Forecasting is included in Predictive Analytics — scoped to what your project actually needs and listed in the written quote.
Who It's For
Who asks us for predictive analytics.
The situations people are usually in when they ask us for this.
01
Demand forecasting
Predicting sales by product and location to plan purchasing and production.
02
Customer churn
Flagging customers likely to cancel or stop ordering so the team can act early.
03
Lead scoring
Ranking enquiries by likelihood to convert so sales time goes where it pays.
04
Credit and collections risk
Estimating which invoices are likely to be paid late to prioritise follow-up.
Scope Estimator
Rough out your timeline in ten seconds.
Pick what you're building and we'll show an honest range. It's an estimate, not a quote — but it's the same maths we start from.
01 — What are you building?
02 — How big is it?
03 — Anything else? (optional)
How A Predictive Analytics Engagement Runs.
Six stages from first call to live delivery — nothing advances until the stage before it is signed off.
01
Discovery
2–3 daysWe work out what actually has to be solved — the constraints, the users, and what can be cut from scope.
02
Scoping
3–5 daysA concrete plan agreed before anything is built, so nothing gets rebuilt later because of a missed assumption.
03
Design & Architecture
1–2 weeksThe technical approach and any interface work, reviewed with you until the direction is signed off.
04
Build
2–8 weeksBuilt in short cycles with visible progress — you see it working early and often, not just at the end.
05
QA & Launch
1–2 weeksTested against real conditions before it goes live, then deployed with a rollback plan in place.
06
Support
OngoingPost-launch fixes, monitoring, and improvements. You keep everything either way.
Quality Bar
The commitments we hold ourselves to on predictive analytics.
Not aspirations — the same terms on every engagement, regardless of scope.
100%
Scope agreed in writing
Before any work starts
24h
Typical response time
During an active engagement
Tools We Use
What we use for predictive analytics.
Chosen per project, not by habit — the right tool for your scale, your team, and what you'll need to maintain.
Pythonscscikit-learn
PaPandas
PostgreSQLPoPower BI
FaFastAPI
AWSJuJupyter
Client Voices
What clients say once we ship.
40+Companies trust us
11Industries served
We were able to successfully complete the project by meeting the best partner. They have a very good understanding of development and skills, and are fully committed to the task schedule.
Their communication and problem-solving skills are top-notch. The entire workflow was smooth and professional.
Amazing team! Delivered everything on time with exceptional quality. Totally recommend!
Honestly, we were struggling to keep up with our growth until they stepped in. They didn't just build the tech; they actually understood our users. It's been a total game-changer for our workflow, and the design is just spot on.
What I love most is that they don't just say 'yes' to everything — they tell us what's actually going to work. The whole process felt super collaborative, and they genuinely cared about making the project a success.
Our Principles
Two commitments that govern every project.
No deadline we don't hold ourselves to.
We pad the schedule honestly upfront so we don't have to renegotiate halfway through. If we say a date, we hit it.
DeliveredNo progress you can't see.
We don't go dark for a month and come back with a surprise. You see the work as it happens.
VisibleOur Technology Stack
We use modern, battle-tested tools to build scalable and maintainable solutions.
Frontend & UI
Backend Core
Data & Storage
Cloud & DevOps
Design & UX
Security & QA
99.9%Uptime SLA
2xFaster Delivery
Top 1%Engineering Talent
What You Receive
Everything, at handover.
Here is the exact list of what lands in your accounts when the project closes.
01
Domain access
Your domain is registered in your name, with full access to it — DNS, renewals, and transfers stay in your hands.
02
Admin access
A login to the admin panel, so your team can manage content without touching code.
03
Design files
Any design files used to plan the build, so future work doesn't start from scratch.
04
Handover walkthrough
A live session showing your team how to use everything we built.
Everything above transfers to your accounts when the project closes.
Why Us
What you're actually comparing for predictive analytics.
A template, a freelancer, and a big agency all solve part of the problem. Here's where each one tends to leave you exposed.
CodelixTemplate / builderFreelancerLarge agency
Timeline you can hold us toYesYesNoPartial
Built for your exact workflowYesNoMaybeYes
One team, one point of contactYesNoYesNo
Post-launch support & docsYesNoMaybeYes
Transparent, fixed pricingYesYesMaybeNo
Won't vanish mid-projectYesYesNoYes
YOU GET THE DOMAIN.YOU GET THE ADMIN.FIXED SCOPE.FIXED PRICE.
FAQ
Questions we're asked before every engagement.
Don't see yours here? Ask us directly →
As a rough guide, one to two years of clean history for forecasting, and a few hundred examples of the outcome you want to predict (such as churned customers). We check your data before promising a model.
It depends on the data. We measure accuracy on past periods the model hasn't seen and share that figure before you rely on it.
Wherever your team works — a Power BI dashboard, a column in your CRM or ERP, or an automated alert.
Fixed scope, fixed price — you get a written quote before any work starts, based on what you actually need, not an hourly guess.
Every project includes a post-launch support window for fixes. After that, you can keep us on a monthly retainer for updates, fixes, and support.
What Happens Next
Three steps from here to kickoff.
No drawn-out sales process. Reach out and here's exactly what follows.
01
Discovery call
A no-pressure call to understand what you're building and what's not working. No slide deck, no sales pitch.
02
Written proposal
A clear scope, a fixed price, and a timeline — in writing. You know exactly what you're getting before you commit.
03
Kickoff
We lock the scope and start. You get a point of contact and visible progress from day one.
Explore More
The rest of what we do.
01
Data EngineeringETL pipelines, data warehousing, big data processing, and data integration solutions.
→02
Performance OptimizationWebsite speed optimization, database tuning, API optimization, scalability improvements, and performance audits.
→03
Security & MaintenanceSecurity updates, vulnerability fixes, monitoring, backups, maintenance, and ongoing technical support.
→04
Dedicated Development TeamsHire dedicated developers, UI/UX designers, QA engineers, AI engineers, and full-stack development teams.
→05
SaaS Product DevelopmentBuild scalable SaaS platforms, multi-tenant applications, subscription systems, and cloud-based products.
→06
Cloud Solutions & MigrationCloud-native application development, cloud migration, infrastructure modernization, and cloud consulting.
→Start Here
Tell us what you're building.
We'll tell you how we'd build it.
A structured conversation about predictive analytics — your users, your goals, your constraints. We scope what should be built first, what can wait, and what it takes to ship it.