Science that scales without losing rigor.
Assistants grounded in your own scientific knowledge, well-organized lab data, and custom predictive models. Your team spends its time on research and development, and every project builds on everything the company already knows.
The starting point
What slows operations down today
More knowledge than anyone can read
Papers, study reports, and lab notebooks grow faster than the team can review them. Experiments that were already run get run again.
Lab data in a thousand formats
Different instruments, spreadsheets, and systems produce results that never line up. Every analysis starts with gathering and cleaning files by hand.
Endless regulatory documentation
Protocols, reports, and submissions require extracting and rewriting the same data over and over, with manual checks on every version.
Analysis that depends on a few people
Critical models and spreadsheets live in the heads of two or three specialists. When they are out, the project waits.
What we build
AI and software for biotech and life sciences
Every solution connects to the systems you already use. You can start with one and add the rest on the same foundation.
- Assistants and knowledge
Research assistant
Answers questions about papers, previous studies, and internal documentation, citing the exact source of every data point so the team can verify it.
- Data and analytics
Lab data engineering
Results from instruments, spreadsheets, and systems brought together in a single repository, with standardized formats and full data lineage.
- Data and analytics
Predictive models on experimental data
Custom models, trained on your results, to prioritize candidates, anticipate deviations, and decide which experiment to run first.
- Intelligent document processing
Data extraction from protocols and reports
Reads protocols, certificates of analysis, and study reports, extracts the key data, and validates it against the source before loading it.
- Custom software
Custom platforms for the lab
Applications to record samples, experiments, and results the way your team actually works, deployed on the cloud of your choice.
- Integrations and automation
Connected lab systems
LIMS, ERP, instruments, and spreadsheets integrated with each other: every data point is recorded once and travels with its history wherever it is needed.
How it would work
A research question, answered with sources
An R&D team is evaluating a compound for a new program. The background is scattered across study reports, lab notebooks, and papers accumulated over years. Today someone searches by hand and pieces the history together as best they can.
The question comes in
A researcher asks, in plain language, which previous studies used that compound and what the results were.
It searches in-house knowledge
The assistant goes through internal reports, protocols, and papers, respecting the access permissions on each document.
It answers with citations
Summarizes the studies it found, their conditions, and their results, and points to the exact document and section behind every data point.
It organizes the data
Builds a comparison table with the extracted results, ready to analyze or to include in a new protocol.
It flags what it does not know
If the information is incomplete or contradictory, it says so explicitly and points to the right person on the team to ask. It never fills in a data point on its own.
We have done this before
The technology is already in production
M.I.C.A · Integrando Salud
An agent in production in a healthcare setting with sensitive data: it understands voice notes and images, reads payment receipts, and writes directly into the client's management system, with a mandatory handoff to a person whenever the case requires it.
In biotech and life sciences: the same discipline for handling sensitive information, reading documents, and leaving every critical decision in human hands.
EMAS S.A.
A full implementation of an industrial ERP: more than 15 modules, including purchasing, inventory, production, sales, and finance.
In biotech and life sciences: the foundation that lets materials, production, and administration work from a single source of information.
What AI is already changing
- 25–50%
- time and cost savings with AI in drug discovery, through the preclinical stage
- 80–90%
- Phase I success rate for AI-discovered molecules, above the historical average
- 20–30%
- less medical and regulatory writing effort when automated with AI
What sets us apart
Why leaders choose Axlan
Leaders work with us because we deliver AI that works in production, not just in demos.
Elite AI talent
Senior AI and software engineers with real experience taking solutions to production.
End-to-end execution
From strategy and data to deployment and operations in production.
Safe, scalable AI
Designed for transparency and human oversight, and built to last.
AI-accelerated delivery
We build with AI, so we reach production faster and with fewer hours.
Wondering how AI
can help your company?
Tell us about a process that eats up hours today. We'll tell you whether it can be automated, how, and with what.