An agent like Lio for your documents.
Reads contracts, forms and PDFs and extracts the fields you need.
Where you stay in control
Low-confidence fields go to a person to check.
We can build one like this for youFor pharma and medtech
Documents and reports, with people in control.
We build your own agents around your processes. Agents for tender and regulatory paperwork and quality documentation, with an audit trail.
Describe one document process
[Add Calendly link]
What we hear from you
- Tender dossiers contain many documents and deadlines.
- Regulatory paperwork needs careful reading and cross-checking.
- Quality documentation needs completeness checks.
- Reports must show sources and an action trail.
Agents we could build (examples)
An agent like Rhea for your reports.
Pulls the numbers together and writes the weekly report.
Where you stay in control
You review before it is shared.
We can build one like this for youAn agent like Sol for your meeting notes.
Writes notes and action items and follows up on them.
Where you stay in control
You edit and approve before they are sent.
We can build one like this for youAn agent like Mila for your inbox.
Reads incoming email, sorts and tags it, drafts replies and routes the rest.
Where you stay in control
You approve replies before they go out.
We can build one like this for youHow it works
- 01
We design your own agent. Define one document set and its access rules.
- 02
An agent extracts details, cites sources and flags missing information.
- 03
The responsible person checks and approves before a document is used or submitted.
- 04
Keep an audit trail and hand uncertainty back to your team.
Agents support documentation. They do not replace scientific, regulatory or legal judgement.
Your data stays in your own systems.
Client work we built
Cube RM: a team of tender AI agents
Cube RM (Zurich), enterprise software for public tenders in life sciences.
- Challenge
- Public tenders mean long documents in many languages, strict rules and tight deadlines. Bid teams spend most of their time reading, checking and filling in forms.
- What we built
- A team of agents, each with one job across the tender lifecycle. Nova finds tenders. Valerio shapes value-based strategy. Redia checks readiness and maps products to lots. Clara drafts questionnaire answers from the company knowledge base. Victor runs pricing simulations. Tess reads every document and builds the bid dossier. Cuber coordinates the team. Clara, Valerio and Tess are live; the others roll out in stages.
- How it works
- LLM agents trained on real tender workflows, embedded in the software the team already uses. Every output cites its sources and shows a confidence level. People make the final decisions.
Ways to start
Free 30-minute review
Teams who want to know where to start.
- We look at your work and name the first agents worth building.
- Agreed approval points and support for your team.
30 minutes
Book a free review.Trial project
Teams who want to test an idea before committing to more.
- We build your first agent on your real work, with a written go or no-go.
- Agreed approval points and support for your team.
2–4 weeks
Fixed price, agreed before we start.
Agree the trial scope with us.Let’s look at one process.
Describe one document process
[Add Calendly link]