Recurring documents
Start with a document type your team sees regularly: sample requests, chain-of-custody forms, or customer reporting instructions.
PRIVATE AI FOR TESTING LABORATORIES
Less paperwork.
More lab capacity.
Give your team a first pass on sample forms, document checks, and data preparation. Keep people in control of the decisions that matter.
Modelza builds focused automations using open-source models, with data handling agreed around your lab’s requirements.
Start small. Measure the full cost. Expand when it works.
01 / SAMPLE INTAKEIllustrative workflow
PDF
Chain of custodyIncoming sample documentation
COC–104Sample IDW–104
MatrixDrinking water
Collection time09:10
Sampler initialsNot provided
Extract · check · prepare
A first pass, ready to review
Source fields organizedStructured
Missing sampler initialsNeeds review
Your team approves the handoff.
Source context stays with each suggestion.
FOCUSED ON INDEPENDENT LABS
Environmental & waterAgricultural & soilFood & product testing
THE WORK BETWEEN SAMPLE AND REPORT
Keep the expertise.
Reduce the repeat work.
Reading the same form. Entering the same fields. Chasing the same missing information. When that work repeats across incoming samples, small tasks add up.
Start with the part your existing systems leave to people. Modelza helps prepare a consistent first pass, with the original information available for review.
ONE WORKFLOW AT A TIME
Make the handoff easier.
Explore three starting points. We confirm the documents, rules, and output your lab actually needs.
SOURCE DOCUMENTCOC
Sample submission
An incoming form, with one field left empty.
- Sample ID
- W-104
- Sample matrix
- Drinking water
- Collection time
- 09:10
- Requested analysis
- Nitrate
- Sampler initials
- Not provided
Fictitious sample. Source values remain visible.
REVIEW QUEUE1 item needs attention
A structured first pass
Review the clear fields. Missing information stays unresolved.
Sample IDW-104Ready to review
Sample matrixDrinking waterReady to review
Collection time09:10Ready to review
Requested analysisNitrateReady to review
Sampler initialsCheck with the submitterMissing
This interactive example uses preset suggestions, not a live AI model. It runs in your browser and sends no documents to a server. Actual formats and checks are agreed in a pilot.
A PRACTICAL FIT FOR YOUR LAB
Build on the systems
you already use.
A good first workflow has repeat volume, a clear input, and an output someone can check.
Reviewable decisions
Agree on required fields and validation rules. Keep uncertain or incomplete information visible for your team to resolve.
A useful handoff
Define a CSV, spreadsheet, or other agreed output. Assess direct LIMS integration separately against your system’s capabilities.
YOUR DATA. AN AGREED BOUNDARY.
Private by design.
Specific about the details.
Open-source models make private inference possible. The deployment, access controls, and data terms are what put that choice into practice.
AGREED PROCESSING ENVIRONMENTDeployment plan
Approved lab documents
The inputs and permissions you agree to share.
Focused model + defined checks
Extract fields. Apply rules. Flag uncertainty.
Your reviewer, your decision
Approve the output before the next handoff.
Confirm these controls in the scope. An open-source model alone is not a security guarantee.
MAKE THE BUSINESS CASE WITH YOUR DATA
A small pilot.
A measurable decision.
Lower cost and more capacity are the goals. Your workflow determines whether the automation delivers them.
- 01
Map one workflow
Agree on document types, weekly volume, required fields, the reviewer, and data-handling terms.
- 02
Run a scoped pilot
Use authorized examples, define success criteria, and agree on the implementation and cost before work begins.
- 03
Compare the full process
Measure preparation, review, corrections, and operating cost against how your team works today.
WHAT WE MEASURE
Time per documentIncluding human review
Corrections requiredAgainst an agreed reference
Cost per accepted outputIncluding setup and operation
BEFORE WE START
Good questions.
Clear answers.
Every lab works a little differently. That is why the scope comes first.
Is Modelza a ready-made LIMS replacement?
No. Modelza offers scoped laboratory automation projects around specific document and data workflows. We start with an agreed input, review process, and output. A direct connection to your LIMS needs a separate assessment of its interfaces and requirements.
What kinds of laboratories are a good fit?
Independent environmental, water, agricultural, and food or product testing labs are our focus. The stronger fit is a team with recurring document volume and a specific manual task that its current software does not adequately handle. Volume alone does not prove a useful automation opportunity.
Can the workflow run without a public AI API?
Open-source models can be run in your own infrastructure or a dedicated private environment. We assess the model, hardware, document types, and integrations before agreeing on a deployment. Any external services and their data handling should be named in that agreement.
Will our documents be used to train a model?
Any training, fine-tuning, or reuse of your documents must be explicitly agreed in the pilot terms. We define permitted use, storage, access, retention, and deletion before you share project data. Private deployment and model training are separate decisions.
How much will we save? Will accuracy improve?
We do not have a universal savings or accuracy figure. A pilot measures accepted field accuracy, correction rates, total review time, and the complete cost of running the workflow. Continue only when the results meet the criteria agreed with your team.
Does this replace technical review or accreditation requirements?
No. Your laboratory retains responsibility for validating the workflow, technical decisions, and release of results. We define the review and record-keeping needs with your team. Modelza does not claim that AI output by itself meets an accreditation or regulatory requirement.
What should we send to start?
Email a description of the workflow, approximate weekly document volume, and your current tools. There is no document upload on this website. We will agree on authorization and a suitable sharing method before you send samples or confidential information.
START WITH THE WORK THAT REPEATS
What does your team
have to retype today?
Tell us about the documents, the weekly volume, and where work gets stuck. We’ll discuss whether a focused pilot makes sense.
Discuss a lab workflowA USEFUL FIRST CONVERSATION
- The workflow you want to improve
- Approximate samples or documents per week
- Your current LIMS or reporting process
- Your data-handling requirements
We’ll agree on a sharing method before you send any lab documents.