SofStack is an AI POC development company that helps enterprises answer one question before they invest in a full AI build: will this work on our data, at the quality we need?
In 3 to 4 weeks, we build a focused AI proof of concept on your real data, measure it against agreed success criteria and give you a clear recommendation to build, adjust or stop.
When an AI Proof of Concept Makes Sense
Feasibility is uncertain: you don't yet know if AI can reach the accuracy you need
Data quality is unknown: you need to test whether your data supports the use case
Leadership needs evidence before approving a larger budget
You are comparing approaches, such as different models, vendors or build-versus-buy options
Risk is high: the use case touches customers, finance or regulated data
POC vs Pilot vs MVP
Proof of Concept | Pilot | MVP | |
Question answered | Can it work? | Will people use it? | Can we launch it? |
Users | Internal evaluators | A small group of real users | Target user base |
Data | Real data sample | Live data | Live data at scale |
Integrations | Minimal | Key systems | Full integration |
Duration | 3–4 weeks | 6–8 weeks | 8–12 weeks |
Starting price | From $5,000 | From $10,000 | From $15,000 |
What You Get at the End of the POC
A working prototype your stakeholders can try on real examples
An evaluation report with accuracy, speed and cost results against the success criteria
A data readiness assessment covering gaps, quality issues and fixes
A recommended architecture for the pilot or MVP
A cost and timeline estimate for the next stage
A clear go, adjust or stop recommendation
The 4-Week AI POC Plan
Week | Focus | Output |
Week 1 | Scope, success criteria and data access | Agreed metrics and test dataset |
Week 2 | Model and approach testing | Baseline results across options |
Week 3 | Prototype build and improvement | Working prototype on real data |
Week 4 | Evaluation and recommendation | Report, demo and next-stage plan |
Common AI POC Use Cases
Document Extraction Accuracy
Can AI extract the right fields from your invoices, contracts or forms with enough accuracy to reduce manual review?
Knowledge Assistant Quality
Can an assistant give correct, cited answers from your internal documents for the questions your teams actually ask?
Prediction and Scoring
Can a model predict churn, demand, risk or fraud better than your current rules or reports?
Agent Workflow Feasibility
Can an AI agent complete a defined workflow across your systems with an acceptable success rate?
Success Criteria Agreed Up Front
Every POC starts with measurable targets, so the result is a decision rather than an opinion.
Quality: accuracy, precision or answer correctness on a test set
Speed: response or processing time per item
Cost: estimated cost per request or per document at production volume
Business value: time or cost saved compared with the current process
Secure From the First Week
NDA signed before any data is shared
Anonymised or masked data wherever the test allows
Your environment: the POC can run in your cloud account
Full ownership of the prototype code and findings
Frequently Asked Questions
What is an AI proof of concept?
An AI proof of concept is a short project that tests whether an AI approach can solve a specific business problem using your real data, before you invest in a full product.
How much does an AI POC cost?
SofStack AI proofs of concept start from $5,000. The price depends on data preparation, the number of approaches tested and any integrations.
How long does an AI POC take?
Most AI POCs take 3 to 4 weeks from data access to final recommendation.
What data do you need?
A representative sample of real data, such as documents, records or historical outcomes, plus examples of correct results to measure against.
What happens if the POC doesn't meet the targets?
You get a clear explanation of why, what would need to change, and whether the use case is worth pursuing. A stopped POC still saves you the cost of a failed full build.
Can the POC become the MVP?
Parts of it can. We design POCs so the validated approach and components carry into the pilot or MVP build.
Test Your AI Idea in Four Weeks
Tell us the use case you want to validate. We will propose success criteria, data needs and a fixed POC quote.