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DEVCRAFT SERVICE

AI & Machine Learning

Intelligent systems that learn, predict, and automate

We build production-ready AI/ML systems — from LLM-powered applications and custom model training to computer vision pipelines and intelligent automation — that deliver measurable business value.

30+
AI Products Shipped
94%
Avg Model Accuracy
70%
Cost Reduction (clients)
10x
Automation Multiplier
WHAT WE OFFER

Full AI & Machine Learning Capabilities

Everything you need, delivered end-to-end by our specialist team.

LLM Integration & RAG Systems

GPT-4, Claude, Gemini, and open-source LLM integration with RAG pipelines for domain-specific knowledge.

Custom AI Chatbots

Context-aware chatbots trained on your data — for customer support, internal tools, or sales automation.

Computer Vision

Object detection, image classification, OCR, face recognition, and quality inspection systems.

Predictive Analytics

Demand forecasting, churn prediction, fraud scoring, and risk modelling with explainable outputs.

NLP & Text Intelligence

Sentiment analysis, entity extraction, document classification, and summarisation pipelines.

MLOps & Model Deployment

CI/CD for ML: model versioning, A/B testing, drift detection, and production monitoring.

Recommendation Engines

Collaborative and content-based filtering for product, content, and service personalisation.

AI Process Automation

Intelligent document processing, workflow automation, and decision support systems.

TECHNOLOGY

Our Tech Stack

ML Frameworks
PyTorchTensorFlowscikit-learnXGBoost
LLM / GenAI
OpenAIAnthropic ClaudeLangChainLlamaIndexOllama
MLOps
MLflowWeights & BiasesDVCSeldon
Data
PandasPolarsApache SparkFeast
Infrastructure
AWS SageMakerGCP Vertex AIDockerKubernetes
HOW WE WORK

Our Delivery Process

01

Problem Framing

Define the business problem as an ML task. Audit existing data. Set measurable success metrics.

02

Data Engineering

Data collection, cleaning, feature engineering, and pipeline construction.

03

Model Development

Experiment tracking, baseline models, iterative training, and hyperparameter tuning.

04

Evaluation

Rigorous evaluation on held-out data. Bias audits, robustness testing, and explainability.

05

Deployment

REST API serving, batch inference, or real-time streaming. Containerised and auto-scaling.

06

Monitoring

Ongoing data drift detection, performance tracking, and model retraining pipelines.

WHY DEVCRAFT

What Sets Our Work Apart

  • Explainable AI — not black boxes
  • Production-hardened, not just notebooks
  • Model monitoring and drift detection
  • Full data privacy and compliance
  • Bias and fairness audits
  • Seamless integration with existing systems
NDA Protected
On-Time Delivery
5-Star Support
CASE STUDY

PropVision AI Valuation Engine

PropTech
Challenge

A real estate platform needed automated property valuation from listing images and metadata — replacing manual appraisals that took 48+ hours.

Our Solution

Built a multi-modal model combining CNN-based image analysis with structured data (location, size, amenities). Deployed as a low-latency REST API with confidence intervals.

Results
  • 94% accuracy vs professional appraisals
  • Valuation time reduced from 48h to 2 seconds
  • Saved $400K/year in appraisal costs
  • Deployed to 3 countries
FAQ

Common Questions

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Ready to build your AI & Machine Learning solution?

Let's talk about your project. We'll get back to you within 24 hours with a tailored approach and realistic timeline.