Machine Learning & Computer Vision
Custom models that see, predict and explain.
When off-the-shelf AI isn't enough, we train custom models for image and video analysis, fraud and anomaly detection and demand forecasting, and deploy them behind clean APIs, with explainability so your team can trust the results.
- Typical timeline
- 4-12 weeks
- Engagement
- Fixed price or retainer
service://machine-learning
Everything you need, built properly
Computer vision
Detection, classification and analysis of images and video.
Deepfake & fraud detection
Spot manipulated media and suspicious activity.
Forecasting
Predict demand, sales and churn from your data.
Explainable AI
Grad-CAM and feature attributions you can show stakeholders.
Model deployment
Fast inference APIs on GPU or CPU.
Evaluation
Rigorous metrics and monitoring for drift.
What you get
- Data audit
- Trained model
- Inference API
- Evaluation report
- Monitoring setup
Tech stack
Ideal for
Built by our team
From first call to launch
A typical build takes six to twelve weeks. Scroll through it.
01 · Week 1
Discovery call
We learn how your business works, agree on what to build first, and send a fixed-price proposal.
02 · Weeks 1-3
Design & prototype
Wireframes, then a clickable prototype. You approve every screen before code is written.
03 · Weeks 3-10
Build in sprints
Short sprints with a working demo every week, so you always see real progress.
04 · Ongoing
Launch & support
We deploy, hand over documentation, and support you for 30 days after launch.
➜ ~ elevare discover --client you
✓ Goals and users mapped
✓ Scope agreed: 3 milestones
✓ Fixed-price proposal sent
➜ ~
Common questions
It depends on the problem. We start with a data audit and often use pre-trained models to reduce what's needed.
Have a project in mind?
Let's talk it through.
Talk directly with our engineers. You'll leave with a rough plan, a timeline and a price range, whether or not you work with us.
- Reply within 24 hours
- Fixed-price proposal
- NDA on request
- No obligation
Lahore · PKT
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same time as you
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