AI & Machine Learning
AI/ML Development & Engineering
LLM applications, retrieval, fine-tuning and machine learning systems, engineered, evaluated and deployed securely, from the cloud to air-gapped networks.
Overview
AI that works on your data, in your environment.
Getting value from AI takes more than access to a model. It takes the right architecture, careful work with your data, honest evaluation, and deployment that meets your security requirements. CDT designs, builds and deploys AI and machine learning systems for real missions, including environments where data cannot leave the network and systems must be authorized before they operate.
What's included
Capabilities
LLM applications
Assistants, search, summarization, extraction and drafting tools built on large language models, with retrieval-augmented generation (RAG) over your own documents and data.
Model selection and adaptation
Choosing between commercial and open-weight models, and adapting them through prompting, retrieval or fine-tuning for your tasks, vocabulary and constraints.
Evaluation and quality
Test sets and metrics built around your tasks to measure accuracy, hallucination, consistency and safety before and after deployment.
Secure deployment and MLOps
Deployment to government cloud, on-premises, air-gapped and classified environments, with model and data pipelines, monitoring and version control.
How we work
A proven, repeatable process.
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1
Discover
We identify the use cases worth pursuing, the data available, and the security, compliance and operating constraints.
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2
Design
Architecture, model selection and security are decided together, including where data and models can live.
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3
Build
We develop, integrate and evaluate against the tasks that matter, with real users in the loop.
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4
Secure & validate
Adversarial testing, guardrails and documentation prepare the system for authorization and real use.
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5
Deploy & operate
We deploy to your environment, from cloud to air-gapped, and monitor, measure and improve it over time.
Can AI run on networks with no internet connection?
Yes. Open-weight models can be deployed and run entirely on-premises or in air-gapped environments, with appropriate hardware. We help choose models and infrastructure that fit the mission, the data and the security requirements.
Do we need to fine-tune a model?
Often not. Many needs are met with good prompting and retrieval over your own documents, which is faster and easier to update. Fine-tuning is worthwhile for specialized tasks, formats or vocabulary; we evaluate the options against your data before recommending one.
Related services
Often paired with
AI & Machine Learning
AI Agents & Skills Engineering
AI agents, tools and skills that take on real work, integrated with your systems, with guardrails, human oversight and the security of a production system.
AI & Machine Learning
AI/ML Cybersecurity
Security for AI and machine learning systems: adversarial testing, secure ML pipelines and AI risk governance aligned with the NIST AI RMF.
Security Engineering
Secure Systems Engineering
Turn-key systems designed and hardened in advance to your compliance framework or standard.
Let's talk
Let's talk about AI/ML development & engineering.
Talk with a CDT engineer about your mission, your systems and your deadlines. We'll tell you honestly what it takes.