DEVIEWCustom software.
AI · Data · Cloud.
AI/ML engineering

AI and machine learning development

We build AI into your software: generative AI and LLM applications, AI agents and multi-agent workflows, document processing, search over your own data and machine learning models. Every system is evaluated, monitored and secured in production.Tell us what you need built
01

Generative AI that works on your data

Copilots, summaries and search connected to your documents and systems, with the source of every answer.
02

AI agents that finish the job

Agentic AI development for search, classification, support and process automation, with people approving what matters.
03

AI security from the first sprint

Private deployment, protection against prompt injection and data leaks, evaluation and audit trails.
What we build

Generative AI, AI agents and machine learning in production.

  • AI & GenAI application engineering

    Search, summaries, copilots and GenAI workflows inside your software.

  • Agentic AI development

    AI agents and multi-agent workflows that carry out tasks end to end.

  • Machine learning

    Forecasting and predictive models trained on your own data.

  • AI security & monitoring

    Evaluation, guardrails and monitoring in production.
Where it applies
Lending & finance
Credit document checks
Ventilation & HVAC
RFQ specifications to draft quotes
Agriculture
Field diagnostics
Construction
Tender and revision analysis
Oil & gas
Technical document search
Relevant work

Built by the team you will work with.

Technologies
  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • Llama
  • Mistral
  • Vertex AI
  • pgvector
  • LangChain
Free AI security checklistTwenty-four checks for LLM apps and AI agents, based on the OWASP Top 10.
Questions

AI/ML engineering: common questions

Which AI models do you work with?
We work with Anthropic Claude, OpenAI, Google Gemini, Llama and Mistral, and choose per project on accuracy, cost and where your data may go.
What is agentic AI development?
It means building AI agents that carry out multi-step tasks, such as finding information, classifying a request and preparing the next action, inside your existing tools.
How do you keep our data safe when using LLMs?
Models run through private, enterprise endpoints or inside your cloud, your data is not used to train public models, and access, prompts and outputs are logged.
Can AI decide things on its own?
Only where you allow it. For credit, engineering or other decisions with consequences, the AI prepares the work and your people approve it.
Next step

Tell us what you need built.

A reply from an engineer within 1–2 business days.Start a project