AI Engineering

Build AI-powered software with machine learning, LLMs, and intelligent automation.

Discuss Your AI Project
30+ AI features shipped
LLMs · ML · CV All AI disciplines
Edge to cloud Any deployment target
What we build

AI engineering capabilities we deliver

LLM Integration & Chatbots

Embed GPT-4, Claude, or Gemini into your product. Build custom RAG pipelines, context management, and prompt engineering for reliable, on-brand AI responses.

OpenAI Claude RAG LangChain

Intelligent Automation

Replace manual, repetitive workflows with AI agents. Document processing, decision engines, and multi-step automation that runs 24/7 without human intervention.

AI Agents Workflow automation OCR NLP

Predictive Analytics & ML

Custom machine learning models trained on your data — demand forecasting, churn prediction, fraud detection, and anomaly monitoring in production.

scikit-learn PyTorch Feature engineering MLOps

Computer Vision

Image classification, object detection, and video analysis - from quality control on factory floors to real-time recognition in consumer apps.

YOLO OpenCV TensorFlow Edge AI

Recommendation Engines

Personalized content, product, and search recommendations - trained on your user behavior and A/B-tested to drive measurable engagement.

Collaborative filtering Embeddings Vector DB

Data Pipelines & MLOps

End-to-end data infrastructure - ingestion, transformation, model training, versioning, and deployment. Your AI stays accurate as your data grows.

Airflow dbt MLflow AWS SageMaker
How we work

From idea to AI in production

1 Phase 1

AI Assessment

We audit your data, workflows, and goals to identify where AI creates real leverage - not just where it sounds impressive.

  • Use-case mapping
  • Data readiness audit
  • ROI estimation
  • AI roadmap
2 Phase 2

Proof of Concept

A focused, time-boxed PoC to validate the core AI hypothesis before committing to full development - fast feedback, low risk.

  • Working PoC
  • Accuracy benchmarks
  • Technical spec
  • Go/no-go decision
3 Phase 3

Build & Train

Model development, fine-tuning, and integration into your product stack, with continuous evaluation against real-world performance targets.

  • Trained model
  • API integration
  • Evaluation suite
  • Version control
4 Phase 4

Deploy & Monitor

Production deployment with drift detection and automated retraining pipelines so your AI improves over time instead of degrading.

  • Production deployment
  • Drift monitoring
  • Retraining pipeline
  • Performance dashboard
REAL CASE STUDIES

Real projects. Real impact

Offline-first POS Platform F&B

Offline-first POS Platform

Multi-device POS for F&B chains with real-time sync and offline support

Real case study
Multi-tenancy SaaS Platform Retail

Multi-tenancy SaaS Platform

Scalable SaaS platform for multi-location retail chains

Real case study
Cross-platform Business App Saas

Cross-platform Business App

Web, mobile, and desktop solution for service businesses.

Real case study
AI-Enabled Business Platform AI

AI-Enabled Business Platform

Scalable platform for multi-location retail chains

Real case study
LET’S WORK TOGETHER

Ready to integrate AI into your product?

Book a free 30-minute discovery call. We'll discuss your AI use case, technical requirements, and path to production.

Book a Free Discovery Call