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.

  • 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.

PythonPyTorchTensorFlowHugging FaceLangChainOpenAIAnthropicFastAPIRayMLflowWeights & BiasesAWS SageMakerVertex 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.

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.