ML Proof of Concept development

Proof of Concept development helps to validate ideas, assess costs and risks, and demonstrate the potential of a software solution to stakeholders. By doing this early, businesses save resources and streamline integration, fostering innovation and competitiveness.

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Business benefits of PoC software development

When it comes to software development, businesses face numerous challenges, from validating new ideas to securing funding and ensuring scalability. In this context, Proof of Concept software development offers a range of benefits to enterprises aiming to navigate these challenges effectively. 

Cost-Efficiency

PoC software development validates the feasibility of an idea with minimal resources, saving businesses time and money in the long run by avoiding investment in unviable concepts.

Risk Mitigation

By uncovering potential issues and obstacles during product launch, PoC development enables businesses to anticipate challenges and calculate additional costs for infrastructure and other necessary investments, ensuring a smoother implementation process.

Scalability Assessment

PoC software development helps determine the scalability potential of a product or service, allowing businesses to plan for future growth and expansion more effectively.

Funding Acquisition

Successful PoC development increases the likelihood of gaining funding from stakeholders by providing tangible evidence of a concept’s viability and potential market value.

ROI Calculation

Through PoC software development, businesses can accurately calculate the return on investment (ROI) and project timelines, enabling informed decision-making and maximizing the efficiency of resource allocation.

PoC development across diverse challenges

We specialize in developing prototypes to assess the feasibility of integrating machine learning solutions into your business. These prototypes help determine whether ML can effectively address your business challenges.

Essential Data for PoC Development

At the core of our Proof-of-Concept (PoC) development process lies the utilization of various types of data, crucial for driving innovation and achieving tangible results. We collaborate closely with our clients to gather and analyze diverse datasets, enabling us to design and implement PoC solutions tailored to their specific business needs.

Tabular Data

We require tabular data to analyze business trends, including price fluctuations, purchasing patterns, subscriber churn, and to develop recommendation systems tailored to your business needs.

Text

To enhance your business operations, we need text data for development of chat-bots using custom knowledge base, language identification solutions, and software helping to understand emotional connotations in customer feedback or communication.

Audio Content

While developing digital helpers, we collect audio data and convert it into actionable insights. This includes text-to-speech systems or voice assistants, where sound information is processed and converted into classifiable text or actionable commands.

Static Images and Video

Utilizing computer vision and deep learning, we analyze static images and video content for facial recognition, text and sign recognition, object recognition, and object detection.

ML Proof of Concept Development Capabilities

Information processing

Information processing

Encompassing data conversion, digitization, and other essential processes, ensuring seamless transformation of raw data into valuable insights for our clients.

Process analysis

Process analysis

Analyzing client processes to collect valuable information and deliver comprehensive reports tailored to their needs.

Process monitoring

Process monitoring

Real-time process monitoring, delivering 24/7 surveillance and event notifications to clients.

Our ML Proof of Concept Development Services

Our ML team will help you achieve your goals with swiftness, efficiency, and comfort. We always strive to be up to speed on the latest developments in tech, and we are well-versed in all major development tools.

PyTorch

OpenCV

YoLO

SageMaker

StableDiffusion

OpenAI

LLM

LangChain

torchvision

sklearn

HuggingFace

pandas

NVIDIA Triton

DIET – our approach to implementing feasible ML projects

At the core of our methodology for Machine Learning stands DIET (Discovery, Ideation, Experiment, Transformation). This structured approach ensures thorough exploration of project feasibility, strategic tool selection, rigorous testing, and seamless solution integration. 

Prototyping is just the beginning; we’re equipped to develop full-fledged solutions. PoC serves as an experimental phase, paving the way for potential implementation and scalability upon successful outcomes.

Discovery

Discover and define uncertainties

Ideation

Explore and design solution

Experiment

Develop and deliver a prototype and test the hypotheses

Transformation

Evolve and scale

How You Benefit from the DIET Approach in ML Software Development

AI Suitability Assessment

AI Suitability Assessment

DIET allows for identifying and resolving potential challenges and uncertainties at the project’s outset. This early issue resolution minimizes the risk of encountering fundamental problems during the implementation phase, saving time and resources.

Smart Investment

Smart Investment

The approach ensures that resources are allocated efficiently throughout the development process. By carefully selecting tools and conducting rigorous testing, the methodology maximizes the value of resources invested in Artificial Intelligence projects.

Alignment with Business Objectives

Alignment with Business Objectives

DIET prioritizes a thorough understanding of the project’s feasibility and alignment with your company’s goals. This ensures that the resulting ML solutions are not only technically sound but also strategically advantageous, contributing to your overall business objectives.

How you can collaborate with us

We offer a variety of flexible ways to work together, allowing clients to choose the one that fits their needs best. Our approach can adapt to different preferences and the nature of each project. This means you can customize how we collaborate to suit your unique requirements.

Consulting
(1-2 ML Engineers)

Machine Learning consulting service, led by 1-2 expert ML Engineers, focuses on assessing the suitability of AI for clients’ unique business challenges. We provide personalized guidance, emphasizing a transparent project roadmap to empower clients with a clear understanding of AI’s applicability and potential impact on their operations.

Engagement
(Client-led Team)

In client-led engagement, clients build their team, including ML Engineers, Data Scientists, BAs, and others, as needed. There’s no dedicated Project Manager (PM); the client leads and manages the team’s efforts.

Project
(Full Cross-functional Team)

In the project format, a comprehensive team includes ML Engineers, Data Engineers, BAs, QA experts, and DevOps specialists. A dedicated Project Manager (PM) leads the team, ensuring efficient execution, meeting timelines, and maintaining quality control during ML Software Development.

Success Stories

“Exposit you can trust not just to build complex, original work, but also support the developed product and ensure it thrives after release”.

  • Explore the Success Story of Automatic License Plate Recognition

    Explore the Success Story of Automatic License Plate Recognition

    Learn more how we helped to automate control of vehicle entry on the company’s territory, pay for toll roads or parking, and increase road safety.

  • Explore the Success Story of Speech Emotion Recognition

    Explore the Success Story of Speech Emotion Recognition

    Learn more how we helped to identify workplace psychological issues and improve team members’ communication quality using AI.

  • Explore the Success Story of AI Recommender System

    Explore the Success Story of AI Recommender System

    Learn more about how Artificial Intelligence capabilities in tourism helped to develop a system recommending the best travel places tailored for the particular person.

  • Explore the Success Story of Audio to Text Converter

    Explore the Success Story of Audio to Text Converter

    Learn more about how Machine Learning helped to relieve the burden of remembering all the information people interact with during the day, increases the efficiency of work conversations, and consequently improves the business process.

Why Choose Exposit

Clear and Efficient Roadmap

Our well-defined roadmap ensures clarity, quality, and speed, aligning expectations and explaining the workflow and associated investments to clients. 

AI Consultation

We offer expert consultations to help clients understand how AI can enhance their business and determine if AI is a necessary component for their specific needs. 

Visual Data Expertise

With extensive experience working with complex visual data, we bring a unique skill set to tackle challenging visual analysis tasks. 

2012

Founded

100+

In-house employees

275+

Completed projects for SMBs and Enterprises

Wizart

Own CV-based product released

Our clients and what they say about Exposit

They have hands-on project management that provides daily communication. The team also provides stable project teams.

James Pursaill

CTO, Plend

Exposit’s specialists welcome a challenge, and they don’t look for easy solutions. While it is customary for consultants to completely dismiss the work you have already done and propose a solution of their own, the Exposit team took the more difficult approach of taking what we had and making it better.

Rada Ryzhykava

Head of Department & Product Owner, Bamboo Group OĂś

Exposit has been our development partner for more than 3 years. They are doing a great job developing our digital platforms that are helping millions of refugees all over the world.

Alexander Bugge

COO, REFUNITE

View more proven positive testimonials from clients across different industries, with various projects’ complexity and expertise.

View testimonials

How to start project with Exposit

Reach Out to Us

Contact us and explore Exposit Proof of Concept (PoC) development services. Share your project details and objectives with our team.

Get Consultation

Our experts will schedule a meeting to discuss your project in-depth. We’ll explore how AI can benefit your company and answer any questions. 

Get Cost Estimation

After the consultation, we’ll provide you with a detailed project cost estimate tailored to your needs. 

Start Project

Once you’re satisfied with the estimate and plan, we’ll begin working on your project, keeping you informed and involved at every stage for a successful outcome. 

What is a PoC in software development?

A PoC (Proof of Concept) in software development is a preliminary demonstration or prototype to validate the feasibility of a concept or idea before investing resources into full-scale development.

What are the benefits of conducting a PoC in software development?

Conducting a Proof of Concept testing helps mitigate risks, assess technical feasibility, identify potential challenges early on, and gain insights for optimizing the development process.

Can PoC be used in web and app development?

Yes, cloud Proof of Concept can be applied in both web and app development to validate ideas, test functionalities, and assess user experience before proceeding with full-scale development.

How does PoC contribute to product development?

Software development PoC plays a crucial role in product development by providing evidence of concept viability, facilitating informed decision-making, and reducing the risk of investing in unproven ideas.

What is the significance of proof of concept in software development?

PoC in product development helps stakeholders understand the potential of a concept, validate technical approaches, and secure support or funding for further development.

How does Proof of Concept software development differ from other development stages?

Proof of Concept design focuses on experimentation and validation of core concepts and technologies, whereas other stages involve iterative development, testing, and refinement of the finalized product.