BitCoding Solutions
AI / ML

AI / ML Development that ships.

Custom machine learning models, predictive analytics, NLP and computer vision - production-grade AI that solves real business problems.

What you get

The fundamentals of our AI / ML Development service.

Custom AI models

Trained on your data, tuned for your KPIs - not off-the-shelf wrappers.

Predictive analytics

Forecast demand, churn, fraud and revenue with statistical rigor.

NLP & LLMs

Chatbots, summarization, classification and RAG systems built on modern LLMs.

Computer vision

Object detection, OCR, quality inspection and image generation pipelines.

Real-time inference

Low-latency APIs deployed on GPU/CPU clusters with auto-scaling.

Privacy & compliance

On-prem, air-gapped or VPC deployments - your data stays yours.

Deliverables

End-to-end ML delivered, not just notebooks.

Everything below is included, every engagement.

Problem framing, data audit and feasibility study
Data pipeline, feature store and training infrastructure
Model development, evaluation and bias testing
Deployment with monitoring, drift detection and re-training
API integration with your existing product
Documentation and team handover / training
Stack

Tools we use for AI / ML Development.

Python
PyTorch
TensorFlow
Hugging Face
LangChain
OpenAI
Anthropic
FastAPI
Ray
MLflow
Weights & Biases
AWS SageMaker
Vertex AI
How we work

From kickoff to launch in weeks, not months.

01

Discover

Define KPIs, audit data and prove feasibility with a small POC.

02

Build

Iterate on models, features and infrastructure with weekly demos.

03

Deploy

Ship to production with monitoring, A/B testing and rollback.

04

Improve

Re-train on fresh data, evaluate drift and expand the model's scope.

Common questions

Frequently asked questions.

Both - we use the right tool for the job. Pure LLM APIs work great for general tasks; for domain-specific problems with proprietary data, we fine-tune or train from scratch.

A focused POC takes 2-4 weeks. A production-grade system typically lands in 8-16 weeks depending on data quality and integration complexity.

We support on-prem, VPC and air-gapped deployments. Your training data and model weights never leave your infrastructure if that's a requirement.

Yes - monitoring, retraining pipelines, feature stores and observability are part of every production engagement.

Let's build

Have a project in mind?
Let's talk.

Free 30-minute consultation. No commitment. We'll review your goals and tell you honestly whether we can help.