Plan your next experiments
Give it the runs you've already done. It suggests which conditions to try next, so you reach your target in fewer rounds. It works for formulation, process development and assay tuning.
We build the AI tool your team actually needs.
We fix what's broken in your process, with tools that fit whatever systems you already have.
95%
of company AI pilots show no measurable business impact.
MIT NANDA, The GenAI Divide: State of AI in Business, 2025
Here's where they stall
-
Demo works
The pilot runs well on a few sample files.
-
Real data
It can't reach your LIMS, lab notebooks or shared drives.
-
Daily work
It lives in a separate app that nobody opens.
-
Sign-off
There's no audit trail, so QA can't approve it.
We build for all three from day one.
What we can build for you
A few examples of what we build. Each tool runs on your own data, and your people make the decisions.
Predict results before you run the assay
A model trained on your own past measurements estimates properties like solubility and stability for new compounds. When a compound is unlike anything it has seen, it says so.
Find any experiment you've run
Results in lab notebooks, LIMS and shared drives are tagged and linked. Ask what was tested on a compound or a part and get the answer with its source.
Follow new papers, patents and trials
Each week it reads what was published on your targets and sends a short brief. Every point links to the paper, patent or trial it came from.
A tool for your own problem
If your bottleneck isn't on this list, that's normal. On the discovery call we pin down the problem and the scope, and we tell you if a tool isn't the answer.
Book a discovery callWho we work with
Companies of 50 to 500 people in two industries.
Life sciences and pharma
Quality, regulatory and lab teams. Every step the tool takes is recorded, and a person approves anything that matters.
- SOPs and work instructions
- QA and QC documentation
- Regulatory submissions
- Clinical and lab data
Engineering and manufacturing
Engineering and operations teams. The tool works with the CAD, PLM and ERP systems you already have.
- Specs spread across several systems
- Knowledge held by a few people
- Handoffs between design, manufacturing and quality
- Change requests and review packs
Projects our team has delivered
Client names stay private. These are tools our team has built for pharma, biotech and healthcare organisations.
Leading biotech & US university lab
ML phenotypic screening platform
Models trained on high-throughput phenotypic screening data, running in an automated lab-in-the-loop platform for continuous drug discovery.
Global pharma company · Fortune Global 500
Excipient selection tool
A decision-support app that ranks formulation excipients for new chemical entities, based on predictive tests.
International medical humanitarian organisation
Medicine supply forecasting
A machine learning model trained on historical data forecasts medicine supply needs for priority countries.
Pharmaceutical manufacturer
Production line monitoring
A platform that tracks production data in real time, spots when a value drifts out of range and alerts the team straight away.
Pharma engineering firm
Capital expenditure tracker
Tracks key financial indicators at set milestones, with every budget figure traceable and auditable.
Global pharma company · Fortune Global 500
Research portfolio dashboard
Follows the portfolio of research compounds and reports the key progress metrics for each project.
Global pharma company · Fortune Global 500
Supplier relationship platform
Keeps supplier contracts in one place and uses the data to prepare strategic negotiations.
Global pharma company · Fortune Global 500
Facilities tracking tool
Tracks buildings and installations, with simulations of how each building behaves under different conditions.
Pharma engineering firm
Skills assessment model
Assesses skills automatically and analyses the team as a whole, with self-assessment and career guidance built in.
Global pharma company · Fortune Global 500
Lessons-learned process
An end-to-end process run at milestones or on demand, with formats for virtual, hybrid or in-person sessions and any project size.
How we work
Every project follows the same three steps.
-
Discovery call
A free call where we look at how the work actually happens, including the exceptions that aren't written down. You get a plain answer on where a tool would help, plus a free audit afterward.
-
Build
We build the tool around what came out of the call. Steps with clear rules use fixed logic, the AI handles the parts that need judgment, and a person approves anything important. We test it on real examples from your work.
-
Roll out
The tool connects to the systems you already use. We roll it out in stages: first a test environment, then a small group, then the whole team.
Why Walili
You don't need an AI team
We handle the setup and the rollout. Your team just uses the tool.
We know regulated work
Validation, audit trails and approvals are part of the first conversation.
The tool is yours
What we build belongs to you and keeps running without a Walili platform.
Discovery call
A free call to pin down where a tool would actually help in your workflow, and where it shouldn't touch it at all.
- A focused conversation on one workflow you want to improve
- A plain answer on where a tool would help, and where the risk is
Free, with a short audit included afterward.
Book a discovery call Reserve your spot in the next sprintThe discovery call opens the contact form. Reserving a sprint spot opens Stripe, where you can see the price and pay.