AI Development Services
Use SoftTeco’s AI development services to add a competitive edge to your business through smart automation, predictive analytics and data-driven growth.
8
Years in AI
500
Employees
300
Customers Worldwide
450
Successful Projects
SoftTeco’s AI Software Development Services
AI Software Solutions We Deliver
Natural Language Processing (NLP)
SoftTeco designs NLP-powered solutions to help you enhance customer service, data analysis, and personalization. Whether you need to automate text processing, understand your customers better, or quickly process massive amounts of text, we can help.
NLP solutions we develop:
- Chatbots & virtual assistants
- Sentiment analysis
- Text classification & summarization
- Machine translation
Computer Vision
Bring automation, speed, and efficiency to your processes with SoftTeco’s computer vision development services. We offer organizations innovative and modern solutions that utilize computer vision technology to help you work faster and smarter.
Computer vision solutions we develop:
- Image recognition & classification
- Image generation & modification
- Image analysis
- Optical character recognition (OCR)
- Object detection
- Face recognition
Speech & Audio Processing
Our speech recognition and audio processing solutions help organizations process their documents in a quick, automated manner, thus saving time and money on manual transcription or manual data entry.
Audio processing solutions we develop:
- Speech recognition
- Text-to-speech & speech-to-text
- Voice assistants
- Voice biometrics
Generative AI
Speed up the content generation process and enhance customer personalization through Gen AI development services. SoftTeco’s ML experts work with a variety of tools, including RNNs, transformers, and diffusion models to deliver your perfect solution.
Gen AI solutions we develop:
- Text generation
- Image & video generation
- Custom LLMs
Predictive Analytics
Eliminate guesswork from strategic decision-making and build your processes around real-life insights with our predictive analytics solutions. SoftTeco can help not only design the ML model but also prepare the dataset and fine-tune the model in accordance with your specific needs.
Predictive analytics solutions we develop:
- Customer behavior prediction
- Sales & demand forecasting
- Risk & fraud detection
- Financial forecasting
- Predictive maintenance
Business Process Automation
SoftTeco provides a variety of automation solutions, designed to handle tasks of any level of complexity. Whether you need help with manual document processing or want to automate the entire workflow, we can assist in setup and implementation of the selected solution.
Automation solutions we develop:
- RPA
- Intelligent document processing
- Workflow orchestration
- Customer service automation
- Fraud detection & compliance checks
AI Business Intelligence
Make your data work for you with SoftTeco’s AI business intelligence services. We take data processing to the next level by using advanced technologies and combining innovation with test-and-tried approaches.
BI solutions we develop:
- Automated data analysis
- Advanced data visualization
- Anomaly detection
- Data cleansing & enrichment
AI Software Development Process at SoftTeco
Learn how our AI development company designs and delivers your next-gen AI solutions, tailored perfectly to your requirements:
Definition of Business Objectives
SoftTeco’s business analysts and ML engineers will help you define the existing pain points and goals and determine how exactly AI can help. We then determine the most suitable AI implementation strategy, which includes the selection of the AI model, evaluation of available data, and definition of KPIs.
Expected deliverables: a project brief with outlined goals, a feasibility study, and a high-level architecture of the proposed solution.
Data Collection & Preparation
SoftTeco’s data engineers and data analysts will identify available data sources and set up data pipelines for further collection. In case you do not have enough training data yet, we can start with synthetic data or public datasets. Our experts use tools like Roboflow and CVAT for dataset annotation and then split it into training and validation sets for further work.
Expected deliverables: data documentation (including its format, structure), initial EDA.
Model Development & Training
Once the data is ready, we will design and train the AI model on the annotated data. To achieve the most accurate results, we will set up preliminary evaluation metrics such as model precision and recall and will continuously tune hyperparameters.
Expected deliverables: a model prototype, training logs, documentation with algorithm choices and their justification.
Model Testing
Together with ML experts, SoftTeco’s QA engineers will test the designed model on real-world scenarios to see how its performance measures against the defined metrics. This might include A/B testing for performance comparison and validation loop for uncovering model drift.
Expected deliverables: validation and testing reports, approval for deployment.
Deployment & Integration
This step involves full integration of the developed model with your business logic and the configuration of the model’s monitoring. During this stage, our ML engineers work together with frontend and backend developers to ensure seamless integration with all parts of the system.
Expected deliverables: a detailed deployment plan, API implementation, a rollback plan.
Post-Launch Support
After the model is launched, we will closely monitor it for any possible issues as well as for the need for retraining. We will also update the model based on the new data (upon the request) and will perform scheduled model evaluations and revalidations.
Expected deliverables: an incident response guide, version history and change logs, a monitoring dashboard.
Don’t Rush with AI, Plan Your Moves Wisely
Many organizations are rushing to implement AI features simply to gain a competitive edge. While early adoption can indeed bring advantages, the key question is not whether to use AI but where to use it. Randomly inserting AI into products or processes may create short-term buzz, but true value emerges only when AI addresses the right problems. Strategic adoption matters more than speed.
The businesses that thrive will be those that move beyond the race to simply “add AI”. Instead, they will ask deeper questions: Which processes in our organization truly benefit from AI? Where does automation free people to do more valuable work? How can AI enhance—not replace—human creativity and judgment?
Have an idea?
We’ll help you turn it into AI
AI Projects That Make Us Proud
An Intelligent Business Chatbot
Our company designed and implemented a GPT-4-powered chatbot that helps us enhance and personalize customer service via 24/7 responsiveness and availability. We used a powerful RAG system for bot training and LLMs for data processing, achieving the needed accuracy and response style. We also implemented langdetect and FastText libraries for multi-language support.
An AI-Based Solution for Banana Leaf Health Monitoring
SoftTeco delivered an AI-powered solution for automated monitoring of banana trees in greenhouses and timely detection of disease symptoms via object detection and classification. After collecting the required data, our experts designed a classified model that works in conjunction with a specialized software module for image extraction.
A Smart Beehive Tracking System
SoftTeco used the computer vision technology to design an innovative mobile app that would help beekeepers automatically count the number of bees in a beehive. When a beekeeper takes a photo of the hive from the app, a smart ML model recognizes the bees in the photo and counts them, thus providing real-time beehive monitoring.
An AI-Powered Analyzer of Golf Players
Golf Club is a smart solution that uses computer vision to analyze golf players’ movements and posture and transforms the collected insights into technical requirements for further golf club manufacturing. SoftTeco was responsible for preliminary data collection and labeling and for the development of two AI models (one for detection and the other for segmentation).
Why Choose SoftTeco As Your Artificial Intelligence Development Company?
Skilled AI Experts
SoftTeco’s Data Science & Machine Learning department consists of 30+ talented individuals who are proficient in delivering complex and scalable AI solutions. From data warehouse design to use of complex LLMs, our ML engineers can handle any data-related task and bring ultimate value to your business through innovation.
Bias Mitigation Strategies
Our AI software development company follows several bias mitigation techniques to ensure a high level of accuracy and fairness in our ML models. We use bias detection frameworks, such as BiasGuard and GPTBIAS, train models on diverse datasets, and follow rigorous model evaluation practices.
Diverse AI Experience
SoftTeco has been delivering AI solutions for clients across various domains, including fintech, healthcare, logistics, manufacturing, and education. From predictive analytics for banking to computer vision for manufacturing, we understand the particular requirements of your industry and are ready to deliver the corresponding solution.
Flexible Deployment Options
We offer flexible AI deployment, be it cloud, on-premises, or hybrid. Before starting work, we will carefully evaluate your current systems and available resources and will match your AI goals with the most suitable deployment option. In this way, you can rest assured that the implemented solution meets performance, scalability and security requirements.
What our clients say
SoftTeco knows how to provide a good match of candidates to our professional and personal/cultural requirements. I highly recommend SoftTeco for anyone who is looking for a good partner to grow their organization with.
Proudly Serving Industry Leaders
Our Tech Stack
Backend
Frontend
iOS
Android
Cross-Platform
SQL
NoSQL
Cloud Solutions
DevOps
Machine Learning, AI,
Data Science, Big Data
QA Automation
AI Software Development Costs
The costs for developing an AI software solution may vary from $10,000 to $500,000, depending on the specific requirements of each project. Below we list the approximate costs for different types of projects that our clients might request:
POC Development
MVP Development
Full-Fledged Product Development
Additional Costs
POC Development
The Proof of Concept development involves the creation of the product’s prototype with an aim to study the feasibility of the idea. It normally includes a small-scale preparation of the dataset, basic algorithm selection, design of the prototype model and the initial evaluation of its performance.
Average cost: $10,000 – $50,000
Duration: 4-8 weeks
MVP Development
The minimum viable product development is a step up from the POC development and offers a more robust dataset and a more complex AI model. The MVP helps collect feedback from real users and understand what further improvements should be made to the product and why.
Average cost: $40,000 – $150,000
Duration: 2-5 months
Full-Fledged Product Development
With its event-driven, non-blocking I/O model, Node.js enables developers to create highly scalable applications that can accommodate a growing user base without compromising performance.
Average cost: $100,000 – $500,000
Duration: 6-12+ months
Additional Costs
Below we list the most common additional costs that are associated with artificial intelligence software development:
Data labeling: $5,000 – $40,000 (depending on the size and complexity of the dataset)
Cloud infrastructure: $500 – $10,000/month (depending on the usage)
Model maintenance: $20,000 – $80,000/year
Security & compliance audits: $5,000 – $20,000/audit
Frequently Asked Questions
How long does it take to develop an AI-based solution?
What kind of ROI can I expect from AI implementation?
However, if we look at average statistics, most companies adopting AI report the following:
1. 15-30% improvement in productivity and employee efficiency due to task automation
2. 10-40% reduction in costs due to optimization of resource allocation, automation of workflows and elimination of the human error factor
3. 5-15% sales increase due to data-based decision making, better customer analysis and enhanced personalization.
Do you support multi-language AI solutions?
How do you address bias and fairness in AI models?
1. Use diverse and representative datasets
2. Use specific tools for bias analysis (IBM AI Fairness 360, Microsoft Fairlearn)
3. Use specialized techniques like adversarial debiasing or reweighting for bias reduction
4. Perform testing across different demographic slices
5. Align AI development with all needed regulations and standards
What kind of data do I need to provide for AI development?
We might also request annotated data and contextual data for extra context. As we proceed with the AI model development and training, we will also need validation and testing datasets that often include historical data and are used for model testing.
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