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TL;DRAI & Machine Learning at Antbyte Labs — Quick Answers
  • Custom AI/ML solutions built on TensorFlow, PyTorch, and cloud AI services
  • LLM integration (GPT-4, Claude, Llama) with custom RAG pipelines and fine-tuning
  • Computer vision, NLP, recommendation engines, and predictive analytics
  • AI readiness assessment included free — we identify where AI adds the most ROI
  • On-premise, cloud, or hybrid deployment — GDPR and data-privacy compliant
  • End-to-end service: data pipeline, model training, API wrapping, and monitoring
AI & Machine Learning

AI That Actually Solves Business Problems

We build practical, production-ready AI systems — not demos. From intelligent chatbots to predictive analytics, grounded in your real data.

Book an AI AuditView AI Case Studies

Free

AI Assessment

Any

Data Format

48 hr

Proposal

“Turn your data into your competitive advantage.”

Our Process

How We Work

01

AI Readiness Assessment

We map your data sources, identify high-value AI use cases, and recommend a phased roadmap. Always free, zero obligation.

02

Data Pipeline & Prep

Clean, label, and structure your data. We design the ETL pipeline and feature engineering strategy before model work begins.

03

Model Development

Experiment, train, validate, and iterate. We benchmark against baselines and report accuracy metrics transparently.

04

Deploy, Monitor & Improve

Production API wrapping, drift monitoring, A/B testing, and continuous retraining pipelines — AI that improves over time.

Technology Stack

Built With Best-in-Class Tools

ML Frameworks

  • PyTorch
  • TensorFlow / Keras
  • scikit-learn
  • Hugging Face

LLM & GenAI

  • OpenAI API
  • Anthropic Claude
  • LangChain
  • LlamaIndex

Data & MLOps

  • Apache Spark
  • dbt
  • MLflow
  • Apache Airflow

Cloud AI

  • AWS SageMaker
  • Google Vertex AI
  • Azure ML
  • GCP BigQuery ML

FAQ

Frequently Asked Questions

What kinds of AI applications can Antbyte Labs build?

We build predictive analytics models, NLP systems, computer vision solutions, recommendation engines, document intelligence tools, intelligent chatbots, and business process automation pipelines.

Do you work with large language models (LLMs)?

Yes. We integrate LLMs (Claude, GPT-4, Llama) via RAG pipelines, custom fine-tuning, and agent frameworks. Popular use cases: document Q&A, AI assistants, content generation, and automated summarisation.

How much data do I need to train an AI model?

For classification, a few thousand labelled samples is often enough. For NLP or vision tasks, tens of thousands help. With limited data we use transfer learning and pre-trained models. We assess your data during discovery.

How long does an AI project take?

A proof-of-concept takes 4–8 weeks. An MVP AI system (with API and basic monitoring) takes 3–6 months. Enterprise-grade ML platforms with continuous learning take 6–12 months.

Do you offer AI consulting without a full build commitment?

Yes — our AI consulting engagements help you evaluate use cases, assess your data, pick the right models, and build an AI roadmap. No build commitment required.

48-hr proposal turnaround Dedicated project manager Free first consultation

Your Data Deserves to Work Harder

Book a free AI readiness assessment. We'll identify the highest-ROI AI opportunities in your business in under 60 minutes.

Book an AI AuditView AI Case Studies

No commitment. No credit card. Just answers.

AntByte

A boutique software studio in Kathmandu. We build systems that last — web platforms, health systems, AI, and infrastructure.

[email protected]+977 9863477797
Kathmandu, Nepal

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AntByte Labs — Leading software development and IT services company in Nepal

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