AI by industry
The same building blocks, a private LLM, agents, and integration, applied to the work each vertical actually does. Pick yours to see real use cases, scope, and honest cost notes.
Pick your industry
AI for Financial Services
Fraud, lending, and compliance support with models that keep your data in house.
AI for Law Firms
Private RAG for contract review and legal research, with client data kept in house.
AI for Manufacturing
Document intelligence and workflow agents for the plant floor and the back office.
AI for Supply Chain
Agents that read supplier documents, flag exceptions, and sharpen forecasts.
AI in the Pharmaceutical Industry
Document intelligence and compliance support, built for strict audit trails.
Healthcare AI Agents
Intake and scheduling agents that keep patient data private.
The pattern across every vertical
The details change by industry, but the shape does not. A private LLM keeps your data in your network. Agents read the documents, apply the rules, and prepare the work. Integration puts the result inside the tools your team already uses.
A human stays responsible for the high-stakes calls. That is true whether you are a law firm, a bank, or a plant. See the full menu on the solutions page.
Start with an audit
Not sure where AI fits in your industry? Start small. A short readiness audit tells you where AI pays off, what it costs, and the first workflow to ship. It is a flat fee, credited toward the build if you proceed.
A short call to see if this is a fit. No pressure, no slides.