From Raw Data to Tangible Prototype in Under 6 Weeks.
Have a powerful idea for AI but need to prove its value? Our Data-to-Value Sprints are a fixed-price, two-step process designed to rapidly de-risk your project, define the scope, and deliver a working prototype that demonstrates real business impact.
The Data-to-Value Sprint Advantage
Our sprint-based model is designed for one purpose: to deliver tangible, data-backed proof of your idea's value, quickly and efficiently.
~6 Weeks
From Idea to Prototype
Go from a business concept to a functional, data-driven prototype in a typical 6-week engagement (2-week Discovery + 4-week Prototype).
Validate & De-Risk
Secure Stakeholder Buy-In
Replace speculation with a working model and a clear Business Case Framework to confidently justify further investment in your AI initiatives.
Fixed-Price
Budget with Certainty
Our two-step process provides fixed-price quotes for both the Discovery and Prototype sprints, eliminating budget uncertainty.
Our Two-Step Path to a High-Value Prototype
We've eliminated the ambiguity of traditional data science projects. Our clear, two-sprint process takes you from a raw idea to a functional, value-driven prototype with predictable costs and timelines.
- 1
Discovery Sprint: De-Risk & Define
A 2-week, fixed-fee deep dive to assess your data, validate technical feasibility, and define a precise scope. This is the mandatory first step to ensure your project is built on a solid foundation.
Outcome: A detailed scope and fixed-price quote for your Prototype Sprint.
- 2
Prototype Sprint: Build & Demonstrate Value
A 4-6 week sprint to build the solution scoped in Discovery. We develop the models and deliver a tangible, interactive prototype that demonstrates tangible, measurable value—the core of our Data-to-Value promise.
Outcome: A working prototype and Business Case Framework to secure stakeholder buy-in.
Our Philosophy: Clarity First, Then Code
Many of our most successful projects begin with a "box of wires"—valuable data that's tangled, undocumented, or spread across systems. Our philosophy is that this initial complexity isn't a blocker; it's a challenge that our structured process is specifically designed to solve.
The Purpose of the Discovery Sprint
The mandatory 2-week Discovery Sprint is our dedicated process for untangling that "box of wires." It's a shared, fixed-fee engagement to de-risk your investment where we dive deep into your data and assess what's truly feasible. This prevents costly surprises and ensures that when we build, we're building the right thing on a solid foundation. You get a clear plan and a fixed-price quote, eliminating budget uncertainty.
Finding Your Starting Point
Our services are designed to meet you where you are.
→ If you have a specific business problem to solve, a Data-to-Value Sprint is your direct path to a solution.
→ If you're still exploring what problems AI can solve for you, our AI Strategy & Roadmap is the ideal first step.
What You Get
Your Data-to-Value Deliverables
Our Data-to-Value Sprints produce clear, actionable deliverables at each stage of the engagement, ensuring you have the tools to make informed decisions.
Discovery Sprint Deliverables
- ●Data Health Assessment: An interactive report on your data's quality, completeness, and readiness for ML.
- ●Use-Case Feasibility Matrix: A prioritized list of potential solutions ranked by business impact and technical feasibility.
- ●Prototype Scope & Quote: A detailed project plan, timeline, and fixed-price quote for the Prototype Sprint.
Prototype Sprint Deliverables
- ●Working Prototype: A functional asset, such as an interactive dashboard, a deployed API endpoint, or a clickable web app.
- ●Source Code & Documentation: The complete, well-documented codebase for the prototype, delivered to your repository.
- ●Business Case Framework: A clear framework outlining the value, potential ROI, and strategic impact to help justify the project internally.
Capabilities
From Complex Data to Actionable Insights
We apply a wide range of machine learning and analytics techniques to solve your most pressing business challenges, working with data from virtually any source.
Common Use Cases We Build
- Machine Learning
- NLP & Sentiment Analysis
- Recommendation Engines
- Churn Prediction
- Demand Forecasting
- Customer Segmentation
- Classification Models
Data Sources We Work With
- Databases (SQL/NoSQL)
- Warehouses & Data Lakes
- Third-Party APIs
- Spreadsheets (Excel, CSVs)
- Social Media & News Text
- Geospatial & Public Data
See Our Methodology in Action
Our approach is grounded in the power of Exploratory Data Analysis (EDA). Download our free whitepaper to see how we uncover insights and de-risk projects before a single line of model code is written.
Sprints in Action
Building a Content Recommender for Proverse
Challenge: Proverse, a pre-market startup, needed to develop a recommender system to engage users but faced data quality issues and an undefined technical path.
Solution: We executed a Data-to-Value Sprint, starting with a Discovery phase to analyze their data and scope several potential solutions. In the Prototype phase, we developed advanced tagging algorithms and built a functional recommendation engine, delivering a solution fine-tuned to their specific needs.
Outcome: The sprints delivered a working prototype that validated the concept and a clear path to production, giving Proverse the confidence and the tool to enhance user engagement.
Read the full case study →
Are Data-to-Value Sprints Right for You?
This focused engagement is perfect for teams that need to test, validate, and demonstrate the value of a specific data-driven idea quickly.
Sprints Are Ideal If You:
- Have a Specific Business Problem: You want to build a forecast, optimize pricing, or create a recommender system.
- Need to Prove ROI Quickly: You need a tangible asset and a business case to unlock a larger budget or get a project greenlit.
- Have Access to Data: Your data might be messy, but it exists in spreadsheets, databases, or documents and is ready for analysis.
- Have a Committed Project Sponsor: You have a key stakeholder who can provide input and feedback throughout the sprint process.
Sprints Might Not Be the Best Fit If You:
- Need a High-Level AI Strategy First: You're unsure where to start with AI or which problems to solve. Our AI Strategy & Roadmap is the right first step.
- Are Looking for Ongoing Support: Sprints deliver a finished prototype. For long-term maintenance and development, our Engineering & MLOps Pods are the solution.
- Have No Access to Data or Stakeholders: Our process is collaborative and requires data to analyze and business experts to guide us.
Investment
A Clear Investment in Tangible Value
Our two-sprint model provides fixed-price engagements for total budget clarity. Start with a Discovery Sprint to define the path, then proceed to a Prototype Sprint with a precise, pre-approved quote.
$9,500
A 2-week deep dive to de-risk your project and define a clear scope.
- ✓Data Health & Feasibility Assessment
- ✓Prioritized Use-Case Matrix
- ✓Detailed Prototype Scope & Project Plan
- ✓Fixed-Price Quote for Prototype Sprint
From $35,000
A 4-6 week build to deliver a tangible, value-driven asset.
- ✓Working Prototype (Dashboard, API, etc.)
- ✓Complete Source Code & Documentation
- ✓Business Case Framework
- ✓Handover Workshop & Training
FAQ
Your Sprint Questions, Answered
Have questions? Below are answers to some common questions. If you don’t see yours, use the button below to ask.
Yes. This small upfront engagement is critical for success. It allows us to de-risk the project by ensuring your data is ready and that we have a crystal-clear, agreed-upon scope before we begin the main prototype build. It saves you time and money in the long run.
This is a common scenario and exactly what the Discovery Sprint is designed to solve. We treat your raw data as the starting point and use the sprint to document, clean, and assess its readiness. If the issues are too complex for a 2-week sprint, we'll provide a clear plan and estimate to address it.
Sprints are ideal for well-defined challenges like building a customer churn prediction model, forecasting product demand, developing a content recommendation engine, or creating a customer segmentation model. If your problem is less defined, our AI Strategy & Roadmap service may be a better starting point.
You do, 100%. All code, models, dashboards, and documentation created during the sprints are your property. We ensure a full handover to your team and repository with no vendor lock-in.
You will have a working prototype and a clear Business Case Framework. Many clients use this to secure internal budget for a full-scale production build. For ongoing development and support, our 'Engineering & MLOps Pods' are the perfect next step.
Powered by a Modern, Flexible Tech Stack
While our sprints focus on the business outcome, they are built on a foundation of deep expertise across the entire data and machine learning ecosystem. We select the right tools for your specific challenge.
Ready to Turn Your Data Into Value?
Let's turn your data concept into a tangible asset. Start with a Discovery Sprint to de-risk your project and get a clear path to a high-impact prototype.