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Discover
We define the prediction, the success metric, and the data you have. No model without a metric it has to move.
AI & ML Development
Custom machine learning models, built to run in production.
Predictive analytics, computer vision, NLP, recommendation systems, and the data pipelines behind them — engineered by senior ML and software engineers, not handed off after the notebook.
Overview
What is AI & ML development?
AI and machine learning development is the engineering of systems that learn patterns from data and make predictions or decisions — forecasting demand, classifying images, understanding language, or recommending what comes next. The hard part isn't training a model in a notebook; it's getting one that's accurate, reliable, and fast enough to live in your product.
We build custom ML models end to end: framing the problem, engineering the data pipeline, training and evaluating the model, and deploying it behind an API with monitoring so quality stays measurable over time. Whether it's predictive analytics, computer vision, natural language processing, or a recommendation system, we treat the model as one component of a production system — not the finish line.
Because the same senior team owns the data pipeline, the model, and the application around it, you avoid the classic failure mode where a data-science prototype never survives contact with real traffic. The result is machine learning that ships, holds its accuracy, and your team can maintain.
How we work
Our ai & ml development process
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Engineer data
Pipelines, labelling, and feature engineering — the unglamorous work that decides whether the model is any good.
03
Train & evaluate
Model selection, training, and rigorous evaluation against held-out data and real-world edge cases.
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Deploy
The model ships behind an API or into your app, with the inference path engineered for latency and cost.
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Monitor & optimise
Drift detection, retraining, and dashboards so accuracy stays measurable and improves over time.
Benefits
Why custom ML development
Decisions from data
Forecasts, scores, and recommendations that turn your data into decisions, not dashboards nobody reads.
Accuracy that's measured
Every model ships with an evaluation pipeline, so quality is a number you can track — not a vibe.
Built for production load
Inference engineered for real latency and cost, not a notebook that falls over at scale.
Stays accurate over time
Drift monitoring and retraining keep performance from quietly degrading after launch.
Yours to own
Clean code, documented pipelines, and no black boxes — your team can maintain and extend it.
One team, full stack
Data pipeline, model, and the app around it engineered together, so nothing gets lost in handoff.
Use cases
What we build with ML
Predictive analytics
Demand forecasting, churn prediction, lead scoring, and risk models tied to business KPIs.
Computer vision
Image classification, object detection, OCR, and quality inspection from photos or video.
Natural language processing
Classification, entity extraction, sentiment, and search over your text and documents.
Recommendation systems
Personalised product, content, and next-best-action recommendations.
Data pipelines
Ingestion, transformation, and feature stores that feed models reliable, fresh data.
On-device & edge ML
Models that run locally on mobile or hardware for privacy, speed, and offline use.
Tech stack
Tools and platforms we ship with
The right tool for the job, chosen on fit and reliability — not on what we're married to.
PyTorch
Deep learning
TensorFlow
Models
scikit-learn
Classic ML
Python
Core
Hugging Face
Transformers
OpenCV
Vision
MLflow
Tracking
AWS SageMaker
Train/serve
pandas
Data
pgvector
Embeddings
Why Tackxel
AI that ships, from a team that ships AI
Plenty of teams can train a model. Far fewer can ship one that survives production traffic, holds its accuracy, and stays maintainable. We're senior software and ML engineers who own the whole stack — data pipeline, model, and the application around it — so your ML doesn't die in a notebook.
We've shipped AI in the real world: Lexa, Pakistan's first AI legal chatbot, runs on a retrieval and language pipeline in production, and the founder built on-device 3D scanning and LLM products across 11+ shipped projects.
11+
Products shipped
7+
Years founder experience
1st
AI legal chatbot in Pakistan
FAQ
AI & ML Development questions, answered
Not always. Many problems are solvable with modest, well-labelled data or by fine-tuning existing models. Part of our process is honestly assessing whether your data can support the model you want — and what to fix if it can't.
Related services
Explore what pairs with ai & ml development
Built to ship
Ready to build with ai & ml development?
Tell us what you're trying to build. We'll handle the rest.