How do you ensure effective communication and collaboration within the team?

<p>Apriorit’s project managers ensure seamless communication and smooth coordination between all stakeholders on any project. They tailor a communication management plan, which typically includes:</p> <ul class=apriorit-list-markers> <li>Regular internal team meetings</li> <li>Scheduled status updates with stakeholders</li> <li>Transparent progress tracking via Jira</li> <li>Clear reporting and documentation</li> </ul> Depending on the nature of the project, we apply either Agile with two-week sprints or a Waterfall approach with clearly defined milestones. We typically provide a demo every 2–3 weeks to showcase progress and gather feedback.

How do you ensure data security and privacy during development?

<p>We follow <a href=/secure-sdlc>secure SDLC principles</a>, secure SDLC principles, which focus on cybersecurity at each stage of development. The set of security mechanisms depends on industry and compliance requirements along with client requests.</p> Generally, we implement strict role-based access controls, encryption at rest and in transit, and isolated development environments. Our teams also use data anonymization techniques, conduct regular security audits, and use secure API authentication.

Home » Apriorit Expertise » AI Development Services

AI Development Services

Go beyond the limited abilities of commercially available black-box AI solutions. The Apriorit team provides expert AI software development services to build a secure, reliable, and accurate AI product tailored to your business processes.

We focus on gathering rich unbiased datasets for AI training, instilling security into every step of development, and helping our clients beat the market with high-quality customized AI models.

Smart solutionsfor smart businesses

As an AI development company with diverse experience, we help our clients maximize their benefit from these technologies. Whether your project requires generative AI, computer vision, or deep learning, our engineers will integrate it in a way that meets regulatory and business requirements.

The Apriorit team provides everything for successful AI implementation, from consulting and audits to engineering and model fine-tuning.

Up to 90%

precision

From 90%

accuracy

80+ GB

of training datasets

badge-clutch-top-machine-learning-2024 1

Empower your business with Apriorit’s AI development services

Unlock the full spectrum of AI and ML technologies

Computer vision

Recognize objects in images and videos, detect faces and actions, and enable vehicle autopilot.

Natural language processing

Analyze and translate texts, create voice assistants and chatbots, and detect sentiment.

Large language models

Design context-aware conversations, create and translate content, and streamline communications.

Time series analysis

Extract useful statistics, insights, trends, patterns, and forecasts from big data.

Content generation

Create new texts, images, audio files, and videos.

Data analytics

Structure and visualize data, mine data arrays, and detect patterns.

Predictive analytics and forecasting

Forecast future trends based on the patterns and insights from your historic records.

Machine learning

Train algorithms to learn from data and make intelligent predictions without explicit programming.

Deep learning

Tackle complex tasks like image recognition and natural language processing using artificial neural networks.

Leverage our advanced tech stack for AI development

GPT-4

Stable Diffusion

DALLE-3

Vicuna

Midjourney

BERT

VGG-16

VGG-19

ResNet

Inception

Llama 3

Claude 3

Gemini models

Whisper

AudioLM

DeepSeek Coder

Code Llama

Qwen2.5-Coder

Keras

PyTorch

TensorFlow

CNNs

RNNs

GANs

NumPy

Pandas

Matplotlib

OpenCV

Scikit-learn

LlamaIndex

LangGraph

PydanticAI

spaCy

Hugging Face Transformers

NLTK

LangChain

CrewAI

LlamaIndex

PydanticAI

AWS AI Services

Azure AI

Google Cloud AI/ML

Vertex AI

Google Cloud Platform (GCP)

Python

C++

Have an advanced AI project in mind?

Apriorit experts will select the most suitable tech stack and build exactly the AI product you need.

Rock your industrywith tailored AI solutions

One-of-a-kind software leads the market. The Apriorit business analysis team (along with our experienced software engineers) will develop custom AI solutions that meet the needs of your business and comply with industry requirements.

We have recently built custom, industry-focused solutions that do the following:

What you get from Apriorit services

Precise estimates

Benefit from a realistic delivery timeline and a budget you can rely on. With Apriorit’s experience in AI development, we can precisely estimate your project, including risks and challenges.

Compliant solutions

Be confident that your AI product will be suitable for even the most regulated industries. We start incorporating key compliance requirements for your product’s security, data management, and traceability at the earliest stages of the SDLC.

Accurate forecasts

Enjoy working with an AI model that has up to 90% precision and gives you insightful, unbiased results. Apriorit experts will take care of all the training, fine-tuning, and testing.

Cybersecurity in mind

Maintain top-level protection of your product and data. With Apriorit’s secure SDLC approach to software engineering, you get extra security measures at every stage of your product lifecycle.

Ready to start your AI journey?

Make it safer and more efficient with Apriorit by your side.

Our clients’ success stories

A Smart Solar Grid: Using AI for Energy Storage and Trading

Apriorit helped a US-based renewable energy provider optimize the use of renewable energy resources and improve the efficiency of their energy grids with AI.

The Apriorit team delivered an advanced smart grid system featuring two interconnected AI-powered modules and a dispatch agent, along with seamless infrastructure integration.

View full case study

Streamlining Electric Vehicle Charging Support with an AI Chatbot

An electric vehicle charging provider asked us to help them reduce the load on their call center and streamline customer support with a custom AI chatbot.

Apriorit developed a scalable chatbot solution that seamlessly integrates with the client’s knowledge base, supports voice and text queries, and transfers unresolved issues to human agents.

View full case study

Developing an Advanced AI Language Tutor for an Educational Service

Our client was looking for a development partner to build a custom AI-powered language learning tutor into their existing platform and expand their product’s capabilities.

The smart chatbot that Apriorit built improved user engagement by 11% in the first month after deployment and helped attract new clients.

View full case study

project-nlp-model-for-scientific-reports

Leveraging NLP in Medicine with a Custom Model for Analyzing Scientific Reports

Apriorit collaborated with an international medical research organization to help them enhance their research capabilities and speed up data analysis with AI.

Apriorit specialists built, fine-tuned, and integrated an NLP-powered solution into the client’s system. The model employed can analyze and summarize scientific reports and medical research with over 92.8% accuracy.

View full case study

Building AI Text Processing Modules for a Content Management Platform

We helped an international provider of content management services improve the user experience and content management efficiency with custom AI-powered modules to translate, generate, and format text.

Introducing new functionality to their platform allowed our client to gain a competitive advantage in their niche and ensure a better user experience for their customers.

View full case study

Building an AI-based Healthcare Solution

Apriorit developers delivered a robust AI-based system for tracking ovarian follicles to help a US-based healthcare center improve diagnostic speed and accuracy.

Apriorit’s solution works with up to 90% efficiency and a 97% recall rate. The system reduces the amount of time that doctors must spend manually examining images.

View full case study

What our clients
say about us

The most impressive part about Apriorit is their ability to solve complex tasks that involve multiple components, like backend and API management, and make them work together seamlessly. They also always kept the deadlines and maintained the high quality of their work throughout our collaboration. They asked genuinely insightful questions that helped us understand the business logic better and make the right technology choices. Read more >>

Marina Shuliak, Chief Business Development Officer,
Software Development C

Apriorit spent time understanding what we wanted to conceive. They then spent a lot of time on the scope of work, which meant we knew our goals and costs going into every phase. They met every deadline. Their customer service and communication were great. They also communicated well. Their team told us about any potential challenges. When they had them, they tackled them in efficient and effective ways. Read more >>

John Schnorr, Founder,
Cycle Clarity

Apriorit’s availability and commitment to making things work stood out. They worked with us and spent 2–4 hours meeting with our team until everything worked and showed results quickly.

The quality of Apriorit’s work was good. They delivered a working product and helped us deploy it in our infrastructure. Once we put the project live, it was working perfectly. Read more >>

CTO,
Consulting Firm

Apriorit’s workflow for AI projects

Project preparation

We collect information about your project, goals, and needs to assess the scope of work and choose the most suitable tech stack.

Next step: Dataset preparation

Dataset preparation

We research and prepare a high-quality, diverse dataset for model training and address biases that may influence your model’s behavior.

Next step: Model design and training

Model design and training

We design a model architecture and create a prototype to establish baseline performance. Then we adjust the model through iterative training.

Next step: Testing and fine-tuning

Testing and fine-tuning

The model undergoes rigorous quality assessment and bias checks before we fine-tune it to achieve the desired level of accuracy and performance.

Next step: Model deployment

Model deployment

We deploy the model and integrate it into your application or service, making it accessible through APIs and ensuring it’s scalable and resource-efficient.

Next step: Maintenance and monitoring

Maintenance and monitoring

After development is finished, we can help your model evolve with your business by retraining it with new data, improving its performance, and adding new cybersecurity mechanisms.

FAQ

We start any software development of artificial intelligence with requirements analysis to understand and align with your business goals. Next, we explore the data and test multiple model types — traditional ML, deep learning, and ensembles. Our team evaluates models using relevant metrics and fine-tunes them with grid or random search. Validation is done via cross-validation and holdout sets. We prioritize models that balance performance, explainability, and efficiency, tailored to the specific needs of each use case.

Apriorit’s project managers ensure seamless communication and smooth coordination between all stakeholders on any project. They tailor a communication management plan, which typically includes:

Regular internal team meetings
Scheduled status updates with stakeholders
Transparent progress tracking via Jira
Clear reporting and documentation

Depending on the nature of the project, we apply either Agile with two-week sprints or a Waterfall approach with clearly defined milestones. We typically provide a demo every 2–3 weeks to showcase progress and gather feedback.

We manage timelines and deliverables through clear planning, progress tracking, and agile adaptability. Each project begins with a detailed roadmap and defined milestones. Using tools like Jira and MS Project, we track progress weekly and adjust priorities during sprint planning. Regular demos every 2–3 weeks keep stakeholders engaged, provide early feedback, and help ensure alignment and on-time delivery.

We follow secure SDLC principles, secure SDLC principles, which focus on cybersecurity at each stage of development. The set of security mechanisms depends on industry and compliance requirements along with client requests.

Generally, we implement strict role-based access controls, encryption at rest and in transit, and isolated development environments. Our teams also use data anonymization techniques, conduct regular security audits, and use secure API authentication.

We address data challenges through augmentation techniques, synthetic data generation using GANs, and transfer learning from pre-trained models. We also implement few-shot learning techniques and strategic sampling like undersampling, oversampling, and SMOTE.

Absolutely. We offer end-to-end data pipeline support, including annotation using VGG Image Annotator and preprocessing with Pandas and Numpy.

We start with diverse, representative training data and conduct exploratory analysis to detect potential biases. Throughout development, we monitor fairness metrics and perform slice-based evaluations across sensitive attributes. When needed, we apply mitigation techniques such as reweighing or adversarial debiasing to ensure fairness and reduce unintended bias in model outcomes.

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and expert tips

AI for Dynamic Pricing: Benefits, Use Cases, and Implementation Challenges

AI for dynamic pricing: Discover the benefits, use cases, and implementation challenges of AI-powered dynamic pricing solutions.

AI & ML

Retail & E-commerce Travel & Hospitality

Read more →: AI for Dynamic Pricing: Benefits, Use Cases, and Implementation Challenges
How to Build a Custom Know Your Customer (KYC) System for Your FinTech Product

Streamline compliance and boost the security of your FinTech product with custom KYC software development tailored to your business needs.

AI & ML Business

Fintech

Read more →: How to Build a Custom Know Your Customer (KYC) System for Your FinTech Product
How to Detect Banking Fraud Using Machine Learning

Explore the key reasons and use cases for using machine learning for fraud detection in banking, as well as expert tips on building a custom system.

AI & ML Cybersecurity

Fintech

Read more →: How to Detect Banking Fraud Using Machine Learning
AI for Demand Forecasting: Benefits, Use Cases, and Implementation Tips

AI for demand forecasting: Explore business benefits, use cases, and Apriorit’s tips on how to create effective AI-based solutions.

AI & ML

Read more →: AI for Demand Forecasting: Benefits, Use Cases, and Implementation Tips

Get more posts like this

AI Development Services

Smart solutionsfor smart businesses

Empower your business with Apriorit’s AI development services

Unlock the full spectrum of AI and ML technologies

Computer vision

Natural language processing

Large language models

Time series analysis

Content generation

Data analytics

Predictive analytics and forecasting

Machine learning

Deep learning

Leverage our advanced tech stack for AI development

Rock your industrywith tailored AI solutions

What you get from Apriorit services

Our clients’ success stories

What our clientssay about us

Apriorit’s workflow for AI projects

FAQ

How do you approach model selection and training for specific use cases?

How do you ensure effective communication and collaboration within the team?

How do you handle project timelines and deliverables?

How do you ensure data security and privacy during development?

How do you handle insufficient or imbalanced datasets?

Can you assist with data collection, cleaning, and annotation if needed?

How do you address AI bias and ensure fairness in your models?

Tech insightsand expert tips

AI for Dynamic Pricing: Benefits, Use Cases, and Implementation Challenges

How to Build a Custom Know Your Customer (KYC) System for Your FinTech Product

How to Detect Banking Fraud Using Machine Learning

AI for Demand Forecasting: Benefits, Use Cases, and Implementation Tips

What our clients
say about us

Tech insights
and expert tips