AI Proof of Concept Development

Choose AI PoC development to validate if the AI system can meet your business objectives before investing in full-scale implementation

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ISO 27001
Information Security Management System
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ISO 9001
Quality Management Systems
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Clutch 1000 Service Providers, 2024 Global
isoInformation
ISO 27001
Information Security Management System
isoQuality
ISO 9001
Quality Management Systems
clutch1000
Award
Clutch 1000 Service Providers, 2024 Global
Receive in-depth tech assistance in AI Proof of Concept development to validate the feasibility and impact of a relevant AI solution within your business environment before full-scale deployment, accelerating time-to-market and saving costs
ROI-driven AI implementation
Low-risk AI idea validation
Rapid AI results with real value

Benefits of Starting with PoC for AI

Start with creating PoC for AI to get the most out of the AI technology implementation with reduced risks and smarter investments

Gain clarity on AI’s business value

Define AI’s value for your business through a tailored PoC to guide digital strategy decisions

Evaluate multiple AI ideas at low cost

Test different AI models during the PoC stage without the high cost of full-scale implementation

Validate the technical feasibility

Run early-stage tests with your business data to confirm that your idea is viable in the real world

Uncover hidden bottlenecks

Reveal and fix inefficiencies in workflows or data quality issues that may block AI success

Align AI with business strategy

Drive up to 2x higher ROI by implementing validated AI models tailored to strategic business goals

Prepare for easier AI solution scaling

Lay the foundation for efficient scaling with AI PoC, reducing time for full deployment by 40%

Our Proven AI PoC Development Process

Examine how we at Cleveroad approach AI Proof-of-Concept development to deliver maximum efficiency and value for your business
01

PoC roadmap creation

  • We start with a strategic discovery session to discuss your business requirements, assess data and technical infrastructure, and prepare a tailored AI implementation strategy. The result is a custom PoC development roadmap and architecture blueprint aligned with your unique goals
      02

      Data-driven solution design

      • Our experts conduct a data quality assessment and, based on it, prepare and structure your data. Then, we craft a business-relevant AI solution architecture, test platform compatibility, and design a scalable blueprint to ensure technical feasibility and long-term integration potential.
          03

          Proof of Concept development

          • We build a lightweight but working prototype using custom prompt engineering, multi-model integration, and performance tuning, giving you early insight into solution viability with minimal investment and risk.
              04

              System validation and integration

              • We validate the prototype in real-world scenarios, fine-tune performance, and integrate AI PoC with your existing systems. This ensures your AI solution meets both business and technical needs before scaling.
                  Book a strategy call with our tech experts to discuss your business goals and uncover AI use cases with the most potential to boost your workflows and proceed to high-impact AI PoC development
                  Got an AI-based project idea?

                  AI-Based Solutions We’ve Delivered

                  Explore our experience in creating custom AI solutions validated with PoC, allowing to test the idea’s feasibility and business value
                  AI Diagnostic Assistant for a Healthcare Provider
                  Under NDA

                  USA

                  Healthcare

                  Challenges solved within the creation of an AI-based diagnostic assistant:

                  • Auditing of clinical workflows to identify and pinpoint inconsistencies in diagnostic and decision-making
                  • Developing a medical image analysis AI PoC for basic image annotation within 3 weeks
                  • Proving the feasibility of AI-driven early diagnostics with a 40% faster case review time during PoC testing
                  AI-Driven Document Intelligence
                  Under NDA

                  Norway

                  Insurance

                  Challenges solved within the creation of AI IDP for automating insurance workflows:

                  • Сomprehensive review of document workflows to identify bottlenecks in classification and data handling
                  • Designing and testing a PoC for automated document classification and data extraction across key insurance use cases
                  • Achieving 75% faster processing with PoC, validating the impact of AI-driven insurance document automation

                  Learn about Cleveroad’s expertise in Projects Portfolio.

                  in Projects Portfolio.

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                  Our Clients Say About Us

                  Client photo...
                  DK flagDenmark
                  FinTech

                  CTPO of Penneo A/S

                  "Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."

                  Featured Partners & Clients

                  Clients and partners we’ve worked with frequently recommend us to others thanks to our individual approach to tech problems

                  Certifications

                  We keep deepening our expertise to meet your highest expectations and build business innovative products
                  ISO 27001

                  ISO 27001

                  Information Security Management System

                  ISO 9001

                  ISO 9001

                  Quality Management Systems

                  AWS

                  AWS

                  Select Tier Partner

                  AWS

                  AWS

                  Solution Architect, Associate

                  Scrum Alliance

                  Scrum Alliance

                  Advanced Certified, Scrum Product Owner

                  AWS

                  AWS

                  SysOps Administrator, Associate

                  Start AI PoC development now
                  Our experts will help you build a AI Proof-of-Concept solution to test your idea in real-world conditions seamlessly, cost-effectively, and without wasted time

                  Why Choose Cleveroad for AI PoC Development

                  Our technical experts are ready to help you achieve a smooth AI adoption, starting with a PoC to test your idea's feasibility
                  member

                  Oleksandr Riabushko

                  Engagement Director

                  • Proven experience in AI-powered software

                    Our team has hands-on experience delivering AI solutions for start-ups, SMBs, and enterprises, including generative AI, Natural Language Processing (NLP), data processing, predictive analytics, custom AI solutions development, and more

                  • Domain-specific AI development expertise

                    At Cleveroad, we assist businesses in 9 business domains to adopt AI-powered solutions through cost-effective PoC. We specialize in AI software delivery for Healthcare, Logistics, FinTech, Education, Retail, E-Commerce, and more

                  • Custom AI PoC implementation

                    We will help you define the most suitable AI solution aligned with your business objectives and guide you through the entire PoC journey — from strategic planning and data preparation to prototype development and seamless integration into your operations

                  • Transparent delivery with scalable outcomes

                    We build AI PoCs using an agile approach and a clear success framework that supports early validation, minimizes uncertainty, and ensures scalability, empowering your business to make confident, data-driven decisions from day one

                  Industry Contribution Awards

                  Leading rating & review platforms rank Cleveroad among top software development companies due to our tech assistance in clients' digital transformation.

                  70 Reviews on Clutch

                  4.9

                  Award

                  Award

                  Clutch 1000 Service Providers, 2024 Global

                  Award

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                  Clutch Spring Award, 2024 Global

                  Ranking

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                  Top Staff Augmentation Company, 2024 Global

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                  Top Financial App Developers, 2024 Global

                  Questions You May Have
                  Get a deeper understanding of AI Proof-of-Concept purpose, profit, and development flow
                  What is PoC in AI?
                  A Proof of Concept (PoC) in artificial intelligence is a small-scale, testable version of an AI system built to validate its viability, performance, and alignment with business objectives. It demonstrates how a specific AI use case can operate effectively using a targeted AI model or AI algorithm before committing to full-scale AI development.
                  What are the benefits of AI PoC?
                  Developing an AI proof allows organizations to test concepts with minimal risk, assess the viability of an AI model, and ensure alignment with broader ai strategy. It supports informed decisions, accelerates time-to-value, and confirms whether a machine learning solution or AI algorithm meets business and technical expectations for effective AI deployment.
                  Why AI investments get stuck in the PoC phase?
                  AI initiatives may stall during the stages of an AI proof due to vague AI strategy, lack of alignment between technical teams and business units, or underdeveloped AI POCs. To prevent this, it’s crucial to define success metrics, ensure stakeholder involvement, and keep the AI development closely tied to your business objectives. A well-defined roadmap helps implement AI more efficiently and leads to successful AI adoption.
                  What are the stages of PoC for AI?
                  The typical stages of an AI proof include:
                  1. Discovery and defining business objectives
                  2. Preparing quality data
                  3. Designing a specific AI solution
                  4. Developing and testing an AI model
                  5. Validating the prototype through real-world scenarios
                  These steps ensure your AI initiative is set up for success and ready to implement AI at scale.

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