Services / Agentic AI & LLM Apps
Agentic AI & LLM AppsFrom idea to production agentic AI.
Goal-directed agents and LLM tools that plan, retrieve and act across your systems, built with evaluation, monitoring and human review from the first pilot.
Deliverables, not slideware.
- Custom agents and workflow copilots for document-heavy and compliance-sensitive teams
- Retrieval over sources you approve, with expert review loops before anything is trusted
- Tool use and integrations with your existing systems, with role-based access control
- Evaluation suites and monitoring so quality is measured, not assumed
- Deployment in your cloud (AWS, Azure, GCP) or on premise, by arrangement
From first call to production.
Discovery
We agree the question, the users and the success measure in writing.
Focused pilot
A narrow pilot proves the workflow on your data before any wider build.
Production build
We build on your infrastructure with logging, audit trails and evaluation baked in.
Run and improve
Model updates, performance tracking and expert review on call.
See it in practice.
MedNova IND Gap Assessment
A source-traced IND gap assessment platform that finds missing and inconsistent content before the FDA does, with an expert reviewing every finding.
Live demonstration (demo data)Read case study →SportsDoc AI: a conversational injury assistant
A conversational assistant for sports injuries, built in weekly develop-and-test cycles with a practising physician in the loop.
In clinical testing (not yet public)Read case study →Good to know
Do experts review the work?
Yes. Software drafts, experts decide. In our regulatory work, an expert reviews every finding before it reaches you, and every statement is linked back to its source.
How is pricing set?
Every engagement is scoped in writing and priced after a scoping call. There are no seats or licenses; you pay for the deliverable, and strategy is included in the engagement.
Where does the system run, and who sees our data?
On your infrastructure: AWS, Azure or GCP, or on premise by arrangement. Access is role-based and activity is logged. We are happy to sign an NDA before you share anything.
Can we see examples of your work?
Yes. See the portfolio for case studies and demonstrations. Client names are anonymized, and additional project details and professional references may be provided upon request, subject to confidentiality and prior approval.
Know where you stand
before you build.
Tell us about your AI initiative or your next filing. We will tell you what a scoped engagement would cover and how it would be priced.