Artificial Intelligence Consulting Services
An experienced AI consulting partner, ScienceSoft designs state-of-the-art solutions fully tailored to our clients’ unique needs and figures out the ways to speed up AI development, ensure optimal project cost and minimized risks.
Artificial intelligence (AI) consulting is a proven way to get expert guidance on leveraging AI technologies and effective AI integration into business operations.
With 35 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.
What Makes ScienceSoft a Reliable AI Software Development Company
- 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.
- In-house PMO and established project management practices to handle large-scale and distributed projects and drive them to their goals despite of time and budget constraints.
- 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
What makes ScienceSoft different
We achieve project success no matter what
ScienceSoft does not pass mere project administration off as project management, which, unfortunately, often happens on the market. We practice real project management, achieving project success for our clients no matter what.
AI Software and Capabilities ScienceSoft Specializes In
With practical experience in 30+ industries, we tailor AI solutions to the specific needs of each domain, including healthcare, banking, insurance, lending, investment, manufacturing, retail & ecommerce, advertising, education, professional services.
Bird’s-eye view
Chatbots
Industry-specific virtual assistants
Conversational AI
Text-to-speech and speech-to-text
Speech recognition
Generative AI (like ChatGPT, DALL-E, MuseNet)
Business automation
Predictive and prescriptive analytics engines
AIOps solutions
AIoT solutions
Copilots
Autonomous vehicles and ADAS
Image analysis systems
Computer vision systems
Fraud detection for digital and physical environments
Business area perspective
Our Artificial Intelligence Portfolio
End-to-End AI Consulting Services by ScienceSoft
The scope of ScienceSoft’s AI consulting services varies depending on our clients’ business needs, maturity of the data management practices, and the current AI environment. Our AI services may include:
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Business analysis
- For enterprises: 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.
- For software product companies: development of the competitive advantage framework, including TA definition, identification of features to win the competition.
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.
- Defining the approach to the AI models for the solution-to-be: going for proprietary models development or choosing public-available services and open-source models.
- Designing user-friendly UX and UI.
- AI solution PoC delivery (optional).
3
Data preparation management (for proprietary models)
- 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.
- Splitting data into sets for training, validation, and testing.
4
- For proprietary models: ML model refinement, testing, evaluation, and deployment.
- For open-source models: ML model/service integration; additional model’s training (if needed)
- Non-AI part development, including DevOps implementation, coding of the server side.
5
AI solution quality assurance
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Continuous testing throught development.
- End-to-end AI system testing.
- Evaluating the quality of AI solution output according to pre-defined KPIs.
6
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 Service Costs
Pricing models ScienceSoft uses
Time and Materials
Best for:
- Agile development of AI-based solutions.
- Continuous consulting during AI implementation.
- Iterative AI software evolution, reengineering, bug fixing.
Fixed price
Best for:
- One-time consulting activities (e.g., AI solution architecture design, code audit, project planning).
- Feasibility study and PoC development.
- Fixed-scoped tasks (e.g., building a particular AI-supported feature, AI model development, one-time AI solution testing).
Subscription fee
Best for:
- AI infrastructure management (data center management, AI software configuration, cloud resource optimization, etc.).
- Managed AI security and compliance.
- L1–L3 help desk (a per-ticket model applies as well).
Sample cost ranges for AI development
$30,000–$200,000
Building an AI-based software component (forecasting, optimization, etc.).
~$120,000–$300,000
Developing an AI-powered virtual assistant (chatbot).
~$200,000–$600,000
Creating an AI-enabled automation solution of average complexity.
~$800,000–$1,000,000+
Implementing a large-scale analytics system powered with AI and big data.
To get a customized estimate for your solution, use our online cost calculator.
AI-Based Software Development Cost Estimation
Please answer a few simple questions about your needs to help our experts calculate the cost and timelines for your AI-based software development project quicker.
Thank you for your request!
We will analyze your case and get back to you within a business day to share a ballpark estimate.
In the meantime, would you like to learn more about ScienceSoft?
- Project success no matter what: learn how we make good on our mission.
- 4,000 successful projects: explore our portfolio.
- 1,300+ incredible clients: read what they say.
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
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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Your Benefits from Partnering with ScienceSoft
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.
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.