PoC and MVP Development: AI Ideas Validated

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PoC and MVP Development: AI Ideas Validated

PoC and MVP Development:
AI Ideas Validated

PoC in Generative AI is a quick experiment to validate the concept. The MVP takes it further by building a pilot version – a basic but working version that real users can try, giving feedback on what works and needs fixing before you scale up.

Solutions for De-Risking AI Innovation

Our solution minimizes technical, financial, and market risks by allowing companies to validate, test, and refine early-stage product ideas in generative AI. This controlled approach fosters innovative solutions with minimal risk and maximum learning.

01 Cross-Platform Development

Quickly build a working model to test the core viability of your generative AI application development concept with minimal investment.

02 High-Performance Architecture

Develop a functional and no-frills version of the AI solution that demonstrates core value and can be tested by real users. This MVP helps align the go-to-market strategy with real-world user needs.

03 High-Performance Architecture

Develop a functional and no-frills version of the AI solution that demonstrates core value and can be tested by real users. This MVP helps align the go-to-market strategy with real-world user needs.

04 Apply Expert Technical Assessment & Strategy

Leverage our deep technical knowledge and full-stack development capabilities to evaluate your generative AI project’s feasibility, potential challenges, and optimal approach.

05 Refine Through Agile Testing Cycles

Use agile methodologies to continuously refine the AI solution through rapid development, testing, and beta-testing feedback cycles.

06 Refine Through Agile Testing Cycles

Use agile methodologies to continuously refine the AI solution through rapid development, testing, and beta-testing feedback cycles.

07 Refine Through Agile Testing Cycles

Use agile methodologies to continuously refine the AI solution through rapid development, testing, and beta-testing feedback cycles.

08 Design for Growth & Scalability

Design the AI system with flexible infrastructure that supports from idea to product transformation, enabling seamless growth in complexity and user demands.

MVP Development Services Across Industries

VOLTERA’s industry-specific solutions provide a targeted approach to exploring and validating transformative Gen AI opportunities with minimal risk and maximum strategic insight.

Startup MVP Development

Quickly transform AI concepts into tangible prototypes
Create compelling proof points to attract potential investors
Demonstrate technical feasibility and market potential with minimal resources

Corporate Innovation

Explore emerging technological opportunities without massive upfront investment
Validate potential AI-driven innovation pathways
Enable strategic decision-making through low-risk experimentation

Fintech Frontier

Test innovative financial algorithms and predictive models
Assess compliance and risk management capabilities
Validate potential cost-saving or revenue-generating AI applications

E-commerce Evolution

Prototype AI-driven personalization and recommendation systems
Test dynamic pricing and customer interaction models
Validate potential improvements in customer experience and conversion rates

SaaS MVP Development

Rapidly validate product hypotheses with minimal development cost
Create functional prototypes to test market receptiveness
Iterate quickly based on initial user feedback and technical assessments

Minimize Gen AI Innovation Risks – Test Before You Invest.

Transform Your AI Idea from Concept to Reality!

Voltera Success Stories: Generative AI in Action

Check out a few case studies that show why VOLTERA will meet your business needs.

Healthcare

Data Science

Data Insights & Forecasting

Stock relocation solution

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

10% productivity boost 7% increase in sales

Mark S.

Partner Pharmacy network,

View case study →

Data Science

Sales automation

Data Insights & Forecasting

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

5% customer retention boost 25% profit growth

Christopher Loss

CEO Dayrize Co, Restaurant chain,

View case study →

Retail

Sales automation

Data Engineering

Performance Measurement

The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.

17% increase in sales 15% revenue boost

Amir R.

CEO, CEO Fashion Retailer

View case study →

Retail

Supply-chain automation

Web and mobile development

Supply chain dashboard

The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.

900h+ manual work reduced 100+ system integrations

Michelle Nguyen

Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company

View case study →

Would you like to explore more of our cases?

Technologies of Artificial Intelligence and Machine Learning

Lama 2

Zilliz

Weaviate

Stable Difusion

Qdrant

Pix2Pix

Pinecone

Pgvctor

OpenAI

Momento

Mixtral

Llava

Hugging Face

Faiss

Chroma

ChatGPT

Activeloop

YOLO

SageMaker

Pillow

NLTK

Keras

SciPy

Redis

Struggling with AI Product Uncertainty? We'll Guide Your Way.

Accelerate Your AI Strategy from Prototype to Market-Ready Solution.

MVP Development Process Steps

We transform an abstract Generative AI concept into validated and market-ready solutions with progressive learning, testing, and refinement through these steps.

Discovery

We study the client’s vision, technical requirements, and market opportunity.

01 Concept Validation

Assessing AI concept feasibility and potential implementation strategies.

02 Prototype Architecture

Designing scalable and flexible system framework supporting core functionality.

03 Initial Development

Creating a low-fidelity prototype focusing on the primary value proposition.

04 Internal Testing

Here, we conduct rigorous technical and functional performance evaluations.

05 Users' Feedback

Deploying prototype to select user groups and gather comprehensive insights.

06 Users' Feedback

Deploying prototype to select user groups and gather comprehensive insights.

06 Strategic Assessment

Testing results analysis to decide on refinement, modification, or full development.

07 Users' Feedback

Deploying prototype to select user groups and gather comprehensive insights.

06 MVP Preparation

A sophisticated minimum viable product with optimized features development.

08 Users' Feedback

Deploying prototype to select user groups and gather comprehensive insights.

06 MVP and PoC Development Overcome Innovation Uncertainty

VOLTERA addresses the fundamental challenges of transforming promising AI concepts into viable, market-ready solutions with minimal risk and maximum learning.

Validate AI Concepts Before Investment

Mitigate the risk of investing in unvalidated AI product ideas that might not solve real market problems.

Speed Up Market Testing Cycles

Overcome slow development cycles by rapidly creating functional prototype versions to test market readiness.

Optimize Development Costs

Create comprehensive talent acquisition and upskilling programs coupled with AI-assisted data engineering tools.

Align Features with User Needs

Tackle the challenge of building features that do not align with actual user needs by enabling quick, feedback-driven iterations.

Validate AI Concepts Before Investment

Mitigate the risk of investing in unvalidated AI product ideas that might not solve real market problems.

Speed Up Market Testing Cycles

Overcome slow development cycles by rapidly creating functional prototype versions to test market readiness.

Optimize Development Costs

Address limited financial resources by developing cost-effective, lean AI solutions that minimize initial investment.

Align Features with User Needs

Tackle the challenge of building features that do not align with actual user needs by enabling quick, feedback-driven iterations.

MVP Development Service Possibilities

Our approach focuses on maximizing learning and minimizing waste through strategic, agile, and user-centric MVP product development with Generative AI.

Concept Testing

Rapidly validate product ideas and core hypotheses through focused feasibility assessment and market research efforts.

Market Sprint

Accelerate time-to-market by quickly launching lean, functional test versions of AI solutions.

Cost Efficiency

We minimize initial development expenses by strategically scoping and testing AI product potential.

Adaptive Design

Studying user feedback to flexibly refine and improve the AI solution’s features and performance.

Business Validation

Confirm the viability of the AI product’s underlying business model through real-world interactions.

Product Foundation

Build a robust, scalable technical and strategic groundwork for comprehensive technical implementation and AI product development.

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FAQ

What's the difference between PoC and MVP?

How much does MVP development cost?

Can my MVP be scaled into a full product later?

Do I need both PoC and MVP for my project?

In which cases do I need an MVP development consultant?

Is it profitable to create custom MVP software development?

What are the features of MVP development for enterprises?

What criteria should a provider meet for custom MVP development?

Describe the role of PoC in software development.

Generative AI

Digital Transformation

Data Engineering

Custom Software Development

Web And Mobile Development

Data Science (AI/ ML)

Data Scraping

DevOps & Cloud Solutions

PoC and MVP Development: AI Ideas Validated