Receive working software in two weeks

Lab Prototype Sprint

Most labs have initiatives that never move because the cost of reaching a yes/no is too high and other priorities loom. 

A Lab Prototype Sprint closes that gap. You walk away with an artifact running against your actual data. A working prototype that surfaces the hard parts is more valuable than a polished demo that hides them. 

 

Man Skipping Over Blocks to Get to Finish Flag iStock-2247595822-1

Two-Week Timeline

The fast-tracked timeline it will take to go from kickoff to a working prototype running on your data.

 

Fixed-Fee Price

Typically ranging from $5K to $10K, the price will be set before kickoff based on the scope.

Software You Own

You'll receive source code, documentation, and a working prototype that your organization owns.  

The Problem

The gap between a promising idea and a funded project is where initiatives stall

Vendor demos use clean data and curated examples that look nothing like your environment. Internal pilots sit in a queue waiting for IT capacity. Leadership can't approve a full build without proof it works — but getting to proof feels like it requires a full build first.

That circular trap is exactly what a sprint breaks. You bring a defined problem and sample data. We bring proven patterns, reusable code, and a focused team that has already built system analogs to most of what your prototype needs. Two weeks later, you have something real to show.


Prototype Tracks

Which one is right for your organization?

AI Model Development

A custom-built AI model is designed to solve your specific needs and is trained or fine-tuned on your data and packaged.

AI Chatbot

Ask questions of your SOPs, validation records, batch records, or instrument outputs. Answers are cited back to the source and run within your environment.

Not sure? We can help.


 
What you walk away with

Six Deliverables

Start

Pre-Work

Scoping call, data checklist, start date determined. We align on the defined problem and confirm you have what we need before the work begins.

Week 1

Kickoff, data ingest, initial build. By the end of week one you'll have the beginings of this prototype running against your data. 

Week 1

Week Two

Refinement, documentation, and delivery prep. Every deliverable is finalized and ready to hand over. 

End

Hand Off

We'll show you a live demo built off your data and all the deliverables are handed over.

Build for Production

Move into a Yahara Discovery engagement to scope a full build. You go in with working code, documented limits, and a path-to-production sketch already in hand. 

 

Extend

Run a follow-on sprint to explore more data, additional use cases, or model variants before committing to a production build. 

Shelve or Pivot

Take the learning and the limits report, and redirect the initiative. A sprint that tells you something doesn't work is a sprint that saved your organization a much larger investment. 

A VALUABLE INVESTMENT

Fixed Price Determined Before Kick-Off

Typically $5,000 – $10,000

A fixed price is determined before any work begins, and the deliverables are yours to keep whether you continue with Yahara afterward or not.

Compare that to the cost of months of internal scoping, inconclusive vendor demos, and a roadmap item that never moves. For most organizations, this quick-turn sprint pays for itself before the readout.

Why Yahara?

 We bring proven technology, established patterns, and reusable code. What would take a generalist team six weeks to stand up, we have largely already built and can adapt to your problem. Our team can offer your organization a real head start. We have experience building:

Instrument Integration

Stop manually moving data off old instruments. We can build an integration pipeline that makes your organization more efficient and enables consistent data governance.

Middleware for Systems

Eliminate the costly data silos between your lab instruments and LIMS/ELN systems — with middleware built and validated for regulated environments.

ML Pipelines

Skip months of model research. We deliver a working machine learning pipeline for pathology or cytogenetics images using your data.

Custom Chatbots

Give your team instant, citation-backed answers from your organizations SOPs, batch records, and validation docs. A custom RAG (retrieval-augmented generation) knowledge assistant — or chatbot — reduces the compliance risks created by generic chatbots. 

Augmented Reality Workflows

Bring step-by-step AR guidance to cell culture and physical workflows. It can streamline training and onboarding, reduce human errors in manual steps, document compliance procedures, and help ensure consistency across lab techs.

Yahara Team Group Headshots

Tell Us Your Problem

We'll tell you whether a sprint is the right path.