Implementation Partner
Enterprise AI implementation for teams that need production outcomes.
Stop building demos. We take proven AI models and turn them into secure, scalable, and governed enterprise systems.
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.
Why enterprise AI pilots stall
Pilots fail because they ignore enterprise realities: messy data, strict infosec requirements, and legacy system integration. We build for production from day one by integrating with your existing Identity Providers (SSO/SAML) and defining strict VPC peering architectures.
The implementation layer Dotnitron owns
We handle the entire applied AI stack. This includes building asynchronous Celery/Temporal workers for document ingestion, optimizing vector databases (like Pinecone or pgvector) for semantic retrieval, implementing guardrails for LLM outputs, and building the front-end user experience.
Model and vendor selection
We help you navigate the AI vendor landscape. We mix commercial APIs (like Anthropic for complex reasoning) with internally hosted open-source models (like vLLM running Llama 3) to optimize for both unit economics and data privacy constraints.
Security and compliance controls
We implement cryptographic data masking before data hits any LLM. We enforce database Row-Level Security (RLS) dynamically based on the authenticated user's session, and log every API request and LLM response into immutable audit trails for compliance teams.
FAQ
Frequently asked questions
What is enterprise AI implementation?
Enterprise AI implementation is the process of integrating AI capabilities into an organization's existing systems, processes, and security frameworks to achieve scalable, production-ready outcomes.
How long does implementation take?
We typically deliver initial production workflows in 90 days. We start with a 5-day sprint to prove viability, followed by a 30-day pilot, before scaling to full production.
Ready to move beyond AI pilots?
Talk to an applied AI team that ships secure workflows for regulated enterprises.