Artificial Intelligence

Machine & deep learning trained on your data

Custom machine-learning and deep-learning models for prediction, classification, vision and language — engineered, deployed and monitored for production.

Predictive modelsComputer visionNLPModel trainingMLOps

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Overview

Why choose Texsoza for ML/DL Development

Our ML/DL Development team combines senior specialists, transparent communication and proven delivery practices — so you get results you can measure, not just a finished task list.

150+Projects delivered
12Countries served
01

Accurate predictions

Models tuned to your specific problem.

02

Automated decisions

Classify, detect and score at scale.

03

Production-grade

Deployed with monitoring and retraining.

04

Explainable

Insight into why the model decides.

What we offer

ML/DL Development services

01

Predictive modelling

Forecasting, churn, pricing and risk scoring.

02

Computer vision

Defect detection, recognition and counting.

03

Natural language processing

Classification, extraction and sentiment.

04

Model fine-tuning

Adapt open-source and foundation models.

05

Recommendation systems

Personalized products and content.

06

MLOps

Pipelines for training, deployment and monitoring.

Our process

How we deliver

Clear milestones, regular demos and one point of contact from first call to ongoing support.

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01

Use-case discovery

Rank opportunities by value and feasibility.

02

Data preparation

Assess, clean and secure the data.

03

Prototype

Proof of concept tested against clear metrics.

04

Integrate

Connect to your systems with guardrails and human review.

05

Monitor & improve

Track quality, cost and drift in production.

Tools & technologies

Our tech stack

PythonTensorFlowPyTorchscikit-learnOpenCVHugging FaceMLflowAWS SageMakerAzure ML
FAQ

ML/DL Development FAQ

More questions? Message us on WhatsApp any time.

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How much data do we need?
It depends on the problem; we assess your data first and suggest ways to fill gaps.
Can models run on our own servers?
Yes. We deploy on-premise, in your cloud or at the edge.
How do models stay accurate?
Monitoring detects drift, and retraining pipelines keep models current.
Do you sign an NDA?
Yes. We sign an NDA before detailed discussions, and all code and IP created for you belongs to you.

Related services

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