dopstack
Education

Expertise

AI and Machine Learning

LLM applications, agents and predictive models integrated into real business workflows.

Technologies

PythonOpenAIAnthropicPyTorch

Capabilities

What we build in this area.

01

Applications

  • LLM-powered products & assistants
  • Retrieval-augmented generation (RAG)
  • AI agents & workflow automation
  • Document & unstructured-data processing
02

Infrastructure & Operations

  • Model serving & inference pipelines
  • Evaluation & monitoring frameworks
  • Vector search & retrieval infrastructure
  • Human-in-the-loop review systems
03

Applied ML

  • Predictive models & forecasting
  • Classification & anomaly detection
  • Fine-tuning & domain adaptation
  • Computer vision & image pipelines

When you need this

Signals it's time to bring this in.

  • A prototype needs to become something you can operate
  • Manual work involves reading, classifying or summarizing text
  • You need answers grounded in your own content
  • An AI feature is live but nothing measures whether it still works

Why Dopstack

What sets this practice apart.

Evaluated, not just demoed

Every system ships with an evaluation harness that catches regressions before your users do.

Model-agnostic by design

We select the model for the use case — OpenAI, Anthropic, or open-weight — not for a vendor relationship.

Grounded in production data

Retrieval and agents are built against your actual data from week one, not a curated demo set.

Services

How this practice is delivered.

Building with ai and machine learning?

Let's talk about your project.

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