Machine learning & Deep learning
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AI Development Services
We offer AI development services to design and deploy custom artificial intelligence systems. Our team builds machine learning models, generative AI applications, and secure AI integrations to automate operations, process data at scale, and deliver measurable performance gains.
Upwork Ukraine Award: Best Agency 2019 in Kharkiv, UA
The Manifest is recognizing Requestum as one of our Global Dev & IT industry frontrunners for 2022!
Our Artificial Intelligence Development Services
AI Software Development Services
We build custom AI software solutions based on your data and product architecture. Our engineers design artificial intelligence systems for automation, prediction, and intelligent data processing. The Requestum team develops production-ready AI software optimized for accuracy, latency, and scalability.
AI Consulting Services
Our specialists provide AI consulting services to define a clear roadmap for artificial intelligence development. We assess data quality, infrastructure readiness, and technical feasibility before implementation. Our team outlines architecture decisions, model selection, and deployment strategy for controlled AI adoption.
AI Integration Services
The Requestum team integrates AI models into web, mobile, and enterprise systems through secure APIs and data pipelines. We adapt artificial intelligence software components to existing platforms. Our experts configure deployment environments, monitoring, and model versioning to maintain system stability.
AI Agents Development
We develop AI agents capable of autonomous task execution and contextual reasoning. Our engineers design agent architectures that process inputs, retrieve data, and generate structured outputs. The agents we create automate workflows, support decision-making, and execute domain-specific tasks.
LLM Fine-Tuning Services
Requestum experts fine-tune large language models using domain-specific datasets and evaluation metrics. Our process includes prompt engineering, supervised training, and response validation. We adapt generative AI models to industry terminology, compliance requirements, and performance benchmarks.
AI Chatbot Development
We create AI chatbot systems powered by natural language processing and generative AI models. Our developers build pipelines for dialogue logic, intent classification, and response generation. We deploy chatbots that handle support queries, onboarding flows, and transactional interactions.
AI Model Training and Support Services
The Requestum team trains machine learning and deep learning models using structured data preparation and feature engineering. Our specialists conduct model evaluation, drift detection, and accuracy optimization. We provide AI engineering support, retraining pipelines, and performance monitoring to sustain prediction accuracy.
Our Artificial Intelligence Software Development Expertise
- Generative AI
- Predictive Analytics
- Computer Vision
- Machine Learning
- Natural Language Processing
- Geospatial AI
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Generative AI
We develop generative AI systems based on large language models to help companies automate content generation and knowledge processing. Our engineers fine-tune models and design inference pipelines to improve response accuracy and optimize production performance.
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Predictive Analytics
The Requestum team builds predictive analytics models to help businesses forecast demand, detect risks, and improve operational planning. Our experts develop machine learning pipelines to reduce forecasting errors and enhance resource allocation accuracy.
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Computer Vision
We develop computer vision solutions to help companies automate visual quality control and real-time monitoring. Our team builds AI-powered inspection systems that detect defects, track objects, and improve operational accuracy in manufacturing, logistics, retail, and other industries.
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Machine Learning
The Requestum team develops machine learning models to help organizations forecast metrics, detect anomalies, and classify structured data. Our experts design regression, clustering, and time-series models to improve analytical accuracy and business reporting.
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Natural Language Processing
Requestum develops NLP systems to help companies analyze text, classify content, and extract structured information. Our team designs language models and processing pipelines to improve semantic understanding and search accuracy.
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Geospatial AI
We develop GeoAI solutions to help businesses analyze location-based and spatial datasets. Our team builds models for route optimization, spatial forecasting, and geographic pattern detection. We integrate geospatial intelligence into mapping systems and operational dashboards.
Our Case Studies
AI-Powered CV Generation with ChatGPT
We developed an AI-powered CV generation platform built on ChatGPT to modernize the resume creation process. The client needed a solution that helps job seekers articulate their experience effectively while adapting to evolving hiring trends and ATS requirements. Our team integrated OpenAI's language model with curated industry datasets and prompt engineering to generate tailored summaries, experience entries, and skills sections optimized for specific roles. The platform reduced resume creation time by 60%, increased interview callbacks by 42%, and improved user confidence in job applications by 85%.
AI Assistant Bot for Slack: Context-Aware Knowledge Retrieval
We developed a context-aware AI assistant bot for Slack designed to transform internal conversations into a searchable knowledge base. The client needed a solution that could capture key decisions, meeting summaries, and discussion highlights while reducing repetitive conversations and information loss. Our team built a Retrieval-Augmented Generation architecture using LangChain, a self-hosted LLaMA model, and PostgreSQL with pgvector to enable semantic search and context-driven response generation. The solution reduced repeat discussions by 37%, saved 42% of meeting time, and improved information accessibility across teams by 89%.
Our AI Software Development Process
The Requestum team follows a structured delivery framework to design, build, and deploy production-ready AI systems. Each stage focuses on data quality, model reliability, and seamless integration into business workflows.
Discovery & AI Strategy
Our team analyzes business requirements, processes, and available data to identify feasible AI use cases. We evaluate risks, expected ROI, and technical constraints to define a clear implementation roadmap.
Data Preparation & Engineering
We collect and preprocess data from relevant sources to create reliable training datasets. Our engineers clean data, perform feature engineering, and establish secure pipelines. High-quality data preparation improves model accuracy and stability.
Model Development & Training
Our specialists design and train models tailored to the specific task, such as prediction, classification, or language processing. We select appropriate algorithms and fine-tune them using domain data. The result is a model optimized for the target use case.
Validation & Testing
The Requestum experts evaluate model performance using real-world scenarios and measurable metrics. Our team checks accuracy, reliability, and potential bias before deployment. This step confirms the solution meets operational requirements.
Deployment & Integration
Our engineers deploy models into production and integrate them with existing systems, applications, or APIs. We configure infrastructure to ensure scalability and performance. This enables smooth adoption without disrupting workflows.
MLOps & Continuous Monitoring
We implement monitoring tools to track performance and detect model drift over time. Our team sets up retraining pipelines and version control for ongoing updates. Continuous oversight keeps the system accurate as data evolves.
Security & Optimization
Requestum professionals apply data protection measures, access controls, and performance tuning to maintain reliability at scale. Our experts optimize resource usage and system efficiency. This ensures secure and stable operation in production environments.
Our Tech Stack
Python NLTK
Google Speech API
AllenNLP
Why Choose Us for AI Development Services
Strong Data & MLOps Expertise
Strong Data & MLOps Expertise
Requestum engineers build data pipelines and monitoring systems to help companies maintain model accuracy as data and conditions change. We implement performance tracking and drift detection to ensure AI systems remain reliable in production.
Domain-Focused Solutions
Domain-Focused Solutions
Our team develops AI solutions tailored to specific business domains, including predictive analytics, computer vision, and natural language processing, to help organizations solve clearly defined operational tasks. Each system is designed around real workflows and industry requirements rather than generic use cases.
Transparent Process & Collaboration
Transparent Process & Collaboration
Our specialists work closely with client teams throughout the project to help maintain alignment between technical implementation and business objectives. We use structured checkpoints, shared deliverables, and direct communication to reduce risks and ensure predictable progress.
Dedicated AI Engineering Teams
Dedicated AI Engineering Teams
The Requestum team assembles dedicated AI specialists tailored to project requirements to help companies build complex solutions efficiently. We scale resources as needed while maintaining technical continuity and deep domain expertise.
Frequently Asked Questions
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How much does AI development with Requestum cost?
The cost depends on complexity, data readiness, and integration requirements. Simple AI features or prototypes typically start from $30,000-$60,000, while more complex systems usually range from $80,000 to $300,000+. We provide a precise estimate after a discovery phase and technical assessment.
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How long do Requestum's artificial intelligence software development services take?
Timelines vary based on scope and data availability. A proof of concept may take 6-10 weeks, while full production systems typically require 3-9 months. Projects involving complex integrations or custom models may take longer.
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What is included in Requestum's AI solutions development process?
Our process covers discovery, data preparation, model development, validation, deployment, and ongoing monitoring. We also handle integration with existing systems and performance optimization.
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Can Requestum integrate AI into our existing software or platforms?
Yes. Our engineers integrate AI components into current applications, data systems, or workflows using APIs and custom modules. This approach minimizes disruption and allows organizations to enhance existing products.
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What data is required to start an AI project with Requestum?
The most valuable input is historical data relevant to the problem you want to solve. We assess data quality, volume, and structure during discovery and can help collect, clean, or augment datasets if needed. Projects can also start with limited data using pre-trained models.
Our contacts
We are committed to ensure quality in detail and provide meaningful impact for customers’ business and audience.
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UA Sales Office:
sales@requestum.com -
HR Team:
talents@requestum.com -
Estonia
15551, Harju maakond, Tallinn, Lasnamäe linnaosa, Sepapaja tn 6
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Ukraine
61183 str. Rodnikovaya, 9a, ap. 55a, Kharkiv, Ukraine
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Switzerland
6313, Seminarstrasse, 5, Menzingen