Artificial Intelligence Consulting Services
With 34 years of experience in artificial intelligence and 750+ IT professionals on board, ScienceSoft provides all-encompassing assistance across AI implementation to help businesses design, develop, and seamlessly maintain cutting-edge AI solutions.
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Artificial intelligence (AI) consulting is a proven way to get expert guidance on leveraging AI technologies and effective AI integration into business operations.
As an experienced AI consulting partner, ScienceSoft designs state-of-the-art solutions fully tailored to its clients’ unique needs and figures out the ways to speed up AI development, ensure optimal project cost and minimized risks.
AI Solutions We Create
According to PwC, AI realizes substantial value via increasing productivity through automation, improving decision-making, and enhancing customer experience. Solutions that ScienceSoft delivers embrace the latest AI developments to innovate and improve operational workflows, maximize user value, and enable innovative business models:
Advanced data analytics
Software designed to handle data aggregation, processing, and analysis tasks, produce accurate forecasts on the required variables, and provide intelligent prescriptions on the optimal decisions.
Business automation
Software that employs leading machine learning and deep learning techniques to automate even the most complex business operations end to end, from data intake to decisioning and action taking.
Software that automatically captures and interprets information from image and video data and can enforce user-defined actions when certain visual patterns are detected.
Speech recognition
Software used to process audio signals and interpret human speech; it can initiate particular actions upon voice commands and support human-like voice communication.
Conversational AI
Software that relies on natural language processing (NLP) and ML to understand and process human language and instantly generate responses that are accurate and relevant to the conversation.
AIOps solutions
Software that leverages various types of AI technologies to streamline and improve the management of IT operations and DevOps environments.
Generative AI
Solutions that can produce new forms of creative content (text, images, 3D models, audio, video, computer code) based on specified parameters.
AI Use Cases ScienceSoft Specializes In
Personalization in sales and marketing
- Customer behavioral analytics, including face and emotion recognition.
- Customer segmentation.
- Cross-selling and upselling recommendations.
- Intelligent prescriptions on optimal segment-specific sales and marketing strategies.
- Automated calculation of personalized prices, creating individual offers.
- Dynamic pricing.
Value you get: improved employee productivity, increased sales, conversion rates, and average order value.
Customer service and support
- Virtual customer agents (chatbots, digital humans) providing assistance on any issues.
- Speech-to-text and text-to-speech conversion.
- AI-powered recommendations for next-best actions for human agents.
Value you get: enhanced rates of customer request resolution, reduced customer service labor costs, increased customer satisfaction and loyalty.
- Demand forecasting and demand-driven supply chain planning.
- Multi-echelon inventory optimization.
- Calculating optimal stock replenishment dates and amounts.
- Analytics-based supplier selection.
- Transportation mode and route optimization.
- Automating and optimizing warehouse and yard operations.
- Digital twins.
Value you get: supply-demand balance, minimized supply chain risks, reduced procurement, shipment, storage, and labor costs.
Predictive and prescriptive asset maintenance
- Predicting failure probability over time/in a certain number of steps.
- Flagging anomalous behavior of machinery and equipment.
- Forecasting remaining useful lifetime.
- Suggestions on the proper asset maintenance time.
- AI-guided maintenance operations.
Value you get: improved OEE and productivity, decreased maintenance and repair costs, increased asset lifetime and uptime.
- Medical image analysis: CT, MRI, PET, SPECT, ultrasound images, X-ray scans, and more.
- Computer-aided diagnostic assessment.
- 3D body mapping.
- Automated identification of diseases, side effects, and factors that influence health condition.
- Prescriptive treatment.
Value you get: cost and time savings, high diagnostics accuracy, state-of-the-art patient care and treatment safety.
Financial management
- Financial performance and risk forecasting.
- Financial modeling.
- Prescriptive financial planning (budgeting, cost optimization, debt collection, risk hedging, M&O, etc.).
- Financial fraud detection.
For financial services:
- Customer risk assessment and credit scoring.
- Automated compliance checks.
- AI-supported decision-making, e.g., on bank account opening, loan origination, investing in a particular asset, insurance claim approval.
Value you get: minimized financial risks, faster financial workflows, optimized costs, increase in profitability.
Document processing
- Extraction, validation, and analysis of data from digital documents.
- Conversion of paper documents to a user-defined digital format.
- Automated document creation.
Value you get: faster and more accurate document processing, reduced document-associated costs.
Content creation
- Automated generation of multi-format content based on user prompts.
- Quality assurance of existing content.
- Intelligent content optimization.
Value you get: streamlined creation of high-value content, an opportunity to produce new content forms.
Fraud detection and physical security
- Automated spotting of fraudulent activities in digital and physical environments.
- Intelligent enforcement of security measures.
- Voice-based and biometric authentication in security systems.
Value you get: minimized security risks, reduced labor costs, enhanced customer experience.
Smart robots
- Industrial robot software (for manufacturing, warehouse operations, product quality control, etc.).
- Connected consumer products (electronic devices).
- Smart homes and cities.
- Autonomous vehicles.
- Internet of Medical Things.
Value you get: enhanced operational efficiency, automated remote control, accurate object tracking.
Choose Your AI Service Option
AI consulting
We introduce a tailored AI launch strategy, design the optimal architecture and tech stack for your AI solution, and assess its economic feasibility. You also get expert advice on AI security and compliance and receive a detailed project plan for risk-free AI implementation.
PoC delivery
We code and train small AI software components to prove the technical viability of the idea and avoid costly changes along the way. These proof-of-concept modules can be reused later in development to speed up delivery.
MVP development
Launching an AI MVP is a cost-effective way to roll out the software faster and start driving early payback. We can deliver an MVP of your AI solution in 3+ months, taking full charge of the app development, AI model design and implementation, and all necessary QA procedures.
AI-based software development
Depending on your needs, we can integrate AI into your existing app or develop fully-featured AI-powered software from scratch. Our seasoned AI developers have all it takes to build industry-specific AI-powered solutions of any type and complexity and deploy them at scale.
AI model training
Our data scientists are here to help you train proprietary and open-source AI models or retrain your existing models to reach >95% output accuracy. We can compose a representative training dataset, define the appropriate hyperparameters, and tune the models to prevent under- and overfitting.
AI audit and revamp
We can perform an expert audit of your AI solution to identify the root cause of its operational issues and find pragmatic ways to fix them. Our experts can promptly upgrade the software and enhance AI models to help you generate higher value with your existing AI solution.
What Makes ScienceSoft a Reliable AI Software Development Company
- 34 years at the forefront of data science and AI.
- AI consultants and developers with 7–20 years of relevant experience and competencies in major ML technologies, frameworks, and libraries.
- Deep expertise in AI-associated services: since 2005 in business intelligence and data warehousing, since 2013 in big data and image analysis.
- Domain experience in 30+ industries, including financial services, healthcare, manufacturing, retail, telecoms.
- Expertise in industry-specific standards (HIPAA, GAMP, PCI DSS, GLBA, etc.) to create compliant AI solutions.
- ISO 9001 and ISO 27001-certified to ensure high quality of AI services and full security of the customers’ data.
- DevSecOps approach to create a strongly protected environment for data processing and storage.
Trusted by global market leaders
Our Artificial Intelligence Portfolio
Pricing Models We Offer
T&M with a cap
Best for:
- Advisory activities (AI needs analysis, existing IT ecosystem analysis, AI solution architecture design, project planning, etc.).
- Agile solution implementation.
- Team augmentation.
- AI solution support.
Fixed price
Best for:
- Feasibility study and PoC.
- Iterative AI solution implementation.
Monthly subscription fee
Best for:
- AI solution support.
AI-Based Software Development Cost Estimation
Please answer a few questions prepared by our AI consultants, and we will calculate the cost and timelines for your AI-based software development project.
Our team is on it!
ScienceSoft's experts will study your case and get back to you with an answer within 24 hours.
ScienceSoft’s Approach to Artificial Intelligence Consulting
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Data protectionWhen building AI-powered solutions, we apply the three-pillar approach to effective data security management:
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Data qualityTo enable high data quality, we engage certified data engineers and data scientists who employ a wide set of tools to automate data validation, cleansing, reduplication processes. |
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Guaranteed value of the AI solutionTo ensure the viability of your future AI solution, the speed and quality of the AI-enabled insights, we:
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End-to-End AI Consulting Services by ScienceSoft
The scope of ScienceSoft’s AI consulting services varies depending on our customers’ business needs, maturity of the data management practices, and the current AI environment. Our AI services may include:
1
Business analysis
- Definition and analysis of business needs to be pursued with an AI solution.
- Analysis of the existing AI environment (if any), data management practices established within the company, the currently used technologies and tools.
2
AI solution conceptualization and development project planning
- Designing the architecture and feature set of the AI solution and creating the optimal tech stack for AI implementation.
- AI project planning: deliverables and KPIs, cost and timeline estimates, a risk management strategy, etc.
- AI solution PoC delivery (optional).
3
Data preparation management
- Exploratory analysis of the existing data sources (data type, volume, etc.).
- Data gathering and cleansing (standardizing, replacing missing and deviating variables, anonymizing sensitive data) for ML model training.
4
AI solution development (ML modeling)
- ML model refinement, testing and evaluation.
- Fine-tuning the parameters of ML models until the generated results are acceptable.
- Deploying the ML models.
5
ML output integration
- Development of application modules that use ML output.
- AI solution integration with the modules to feed the ML models and use ML output.
6
AI solution quality assurance
- End-to-end AI system testing.
- Evaluating the quality of AI solution output according to pre-defined KPIs.
7
User training
- AI solution user training in the preferred format.
- Designing user guides and manuals and sharing them with the company's in-house IT team.
8
AI solution support and optimization
- Continuous AI solution monitoring and optimization.
- Adding new data sources to feed the AI solution for greater accuracy and insight.
- Building new ML models to meet the newly arisen business needs.
AI Technologies We Use
Machine Learning Methods We Rely On
Non-neural-network machine learning
- Supervised learning algorithms, such as decision trees, linear regression, logistic regression, support vector machines.
- Unsupervised learning algorithms: K-means clustering, hierarchical clustering, etc.
- Reinforcement learning methods, including Q-learning, SARSA, temporal differences method.
Neural networks, including deep learning
- Convolutional and recurrent neural networks (including LSTM and GRU)
- Autoencoders (VAE, DAE, SAE, etc.).
- Generative adversarial networks (GANs)
- Deep Q-Networks (DQNs)
- Feed-forward neural networks, including Bayesian deep learning
- Modular neural networks