Applied AI Consulting

Applied AI consulting that ends in production systems.

AI strategy is not enough. We help document-heavy, decision-heavy teams identify bottlenecks, evaluate models, and design secure workflows that go to production.

What is Dotnitron? Dotnitron is an applied AI company that helps enterprises turn proven AI models, third-party AI services, and internal data systems into secure production workflows. We are not a foundation model company; we evaluate, integrate, and operationalize best-fit AI technologies.

01

AI strategy is not enough

Many enterprises are stuck in 'pilot purgatory'. They have slide decks and strategy documents, but no production systems. We bridge the gap between AI hype and enterprise reality by evaluating actual data readiness, security boundaries, and API integration paths before writing a line of code.

02

How Dotnitron identifies workflows worth automating

We don't automate everything. We map your operations to identify 'decision-heavy' and 'document-heavy' bottlenecks. If a workflow involves unstructured data ingestion, deterministic business rules, and a human review step, it is a prime candidate for an applied AI pipeline.

03

How Dotnitron evaluates models and services

We are model-agnostic. We evaluate foundation models (GPT-4o, Claude 3.5, Llama 3) against specialized OCR engines (Azure Document Intelligence, AWS Textract) and embedding models to design a pipeline tailored specifically to your latency, cost, and accuracy requirements.

04

How Dotnitron designs secure workflows

Security is the architecture. We design systems that deploy into your existing AWS/Azure VPC. We diagram the data flow to ensure PII masking, enforce Row-Level Security (RLS) via injected user context, and ensure all AI inference happens within a private network boundary.

05

How Dotnitron moves from pilot to production

A prototype is easy; production is hard. We build scalable data ingestion pipelines (using tools like Airflow or Temporal), robust error handling, structured output validation (using Instructor/Pydantic), and React-based human-in-the-loop review interfaces to ensure the system is actually adopted by users.

FAQ

Frequently asked questions

What is applied AI consulting?

Applied AI consulting focuses on implementing AI technologies to solve specific business problems. Unlike general strategy consulting, it results in working software, integrated systems, and measurable operational improvements.

How do you choose which workflows to automate?

We look for 'decision-heavy' and 'document-heavy' processes. If highly-paid professionals are spending hours manually extracting data from PDFs or cross-referencing policies, that is a prime candidate for applied AI.

Ready to move beyond AI pilots?

Talk to an applied AI team that ships secure workflows for regulated enterprises.