Artificial intelligence software development: Where innovation drives real-world results
Our formula for AI software development? (High-quality data + robust algorithms + efficient infrastructure) × (top talent + flawless execution + ongoing monitoring) = success, every time.
At Vention, each element in this equation guarantees your peace of mind.
Our AI software development services turn your AI needs into breakthroughs
Envisioning a smooth journey from your idea to seamless AI implementation, turning tech trends into tangible business benefits? Think Vention. We provide end-to-end AI software development services to meet every need our (and your) customers face.
AI product development
We support you every step of the way, from innovative ideas to robust, high-performing AI-enabled products with either open-source or custom models at the core.
In addition to precise engineering, we conduct market and audience analysis to ensure your product's long-term success, prioritize features to deliver early rewards, and provide ongoing maintenance and evolution to keep your AI software product ahead in an ever-evolving market.
Enterprise AI development
We design and deliver AI solutions that maximize the value of your enterprise data, streamline business processes, and seamlessly integrate with your business systems.
From data preparation and AI/ML model selection through training and optimization — our AI engineers have you covered.
PoC and MVP development
Looking to verify your idea to mitigate AI software development risks or secure startup funding? We can start with proof of concept (PoC) or minimum viable product (MVP) development.
An MVP not only confirms project feasibility, but also gathers early user feedback, allowing you to refine the solution with valuable insights.
Enriching your existing software with AI capabilities
Improve your business workflows with AI capabilities or elevate your product’s success with AI-driven features.
Our seasoned AI professionals ensure a seamless integration experience that maintains system integrity and facilitates regulatory compliance.
Consulting and advisory services
Need help selecting between several strategies, defining optimal AI models and tech stack, or defining the features to enhance your software with advanced algorithms? Our consultants ensure your AI initiatives always mitigate risk and add value.
AI training and support services
You can rely on us to prepare comprehensive data sets and train AL and ML models for peak performance and high output accuracy.
Our AI engineers can also assess the performance of your existing AI model and suggest ways to improve it.
Not sure where to start? Start with an AI workshop.
Vention’s AI workshops offer a unique opportunity to get clear answers to your key questions:
- What process gaps and inefficiencies can AI software solve?
- Is my data good enough to power AI tasks?
- Which AI strategies and tools will boost growth and optimize performance?
- What's the roadmap for the smooth implementation of custom AI solutions?
Next-gen AI solutions we develop
Vention transforms AI into a powerful growth engine, delivering top-of-the-line solutions that redefine efficiency and drive profit.
Natural language processing (NLP)
Use machines to handle text and speech challenges at speed and scale.
-
Chatbots and virtual assistants
-
Speech recognition
-
Text-to-speech
-
Text analysis and summarization
-
Sentiment analysis
-
Machine translation
-
Email response automation
-
Content localization
Computer vision
Extract insights from images and video, blending the real and virtual worlds.
-
Image recognition
-
Face recognition
-
Optical character recognition
-
Augmented reality
Structured data analysis
Benefit from intelligent recommendations, strategic suggestions, and advanced insights that elevate decision-making.
-
Predictive analytics
-
Prescriptive analytics
-
Recommendation systems
-
Segmentation
AI use cases across industries
AI is no longer a buzzword: It’s reshaping every industry, streamlining both customer interactions and back-office operations. Vention’s domain-specific experience helps us zero in on how AI can best propel your company forward.
Fintech
Leverage our expertise in fintech software development to deploy AI-based solutions that help evaluate and mitigate potential investment risks, make data-based credit decisions, predict market trends for better returns, and identify suspicious activities in real time.
Fraud detection
We craft cutting-edge AI algorithms that scrutinize financial transactions and customer behavior instantly. Our expertise ensures effective fraud detection, from identity theft to money laundering.
Risk management
Navigate the complexities of the financial world with our sophisticated AI models. We harness diverse data streams — from online behavior to social media insights — to refine creditworthiness assessments, identify potential risks during due diligence, and facilitate compliance adherence.
Credit scoring
Make safe and swift credit decisions with AI, which leverages more data sources than traditional models, enabling data-driven predictions about an individual’s creditworthiness even without a credit history.
Portfolio management
Evaluate potential investment risks, identify high-performing assets, get buy or sell recommendations and return predictions — all to make informed asset allocation decisions and construct portfolios that meet performance targets.
Algorithmic trading
Processing vast amounts of market data in real time and pinpointing trends or patterns can be overwhelming for traders, but not for AI algorithms. AI can predict market movements and automatically execute trades when specific conditions are met.
Customer service
Transform your customer service with artificial intelligence software. By addressing frequent queries in seconds and gauging customer sentiment, our AI solutions amplify engagement, enhance satisfaction, and reduce operational expenses.
Healthtech
We combine our expertise in healthtech development with AI to deliver solutions that help improve the quality of care and health outcomes.
Diagnosing
Utilize computer vision and AI algorithms to analyze medical data — such as medical records, lab results, CT, MRI, and X-ray images — and spot patterns that human experts might miss.
Remote patient monitoring
Remotely collect and analyze patient vitals, including heart rate, blood pressure, and temperature, using wearables, sensors, and AI algorithms. Detect patterns in the data and receive instant alerts when a clinician’s immediate attention or intervention is required.
Personalized care
Incorporate genomic and lifestyle data to enable AI algorithms to suggest more effective treatments with fewer side effects. Equip patients or product users with AI-powered chatbots that provide tailored health recommendations and content.
Efficient healthcare management
Use software with artificial intelligence to streamline processes and eliminate operational waste, from IoMT-based asset management to computer vision-led surgery tracking or simulation training for healthcare practitioners.
Drug discovery
Revolutionize drug development with AI: analyze vast datasets, uncover critical insights, screen the effects and side effects of millions of compounds quickly, and predict potential drug candidates and targets.
Real estate
Wondering what our real estate development expertise can do for you? Easy: smoother operations, sharper decisions, and better customer experiences.
Customer support
A 24/7 chatbot can easily answer property-related questions, schedule viewings, send reminders, and handle property management requests and follow-ups.
Virtual views
With AI, your clients can explore properties without physical visits, which is particularly useful for properties abroad or under construction. The best part? 3D maps, panorama views, and zoom features create an immersive and engaging experience.
Orderly documentation
In a document-heavy industry like real estate, optical character recognition can scan millions of documents to ensure no missing signatures or unfilled critical text fields.
Predicting market trends
AI analyzes historical real estate data, new construction trends, vacancy rates, market supply and demand, and social media reviews.
Retail and ecommerce
AI is becoming an integral component of ecommerce software development, especially when both exceptional user experience and efficient back-office operations are at stake.
Personalized shopping experience
Use AI to build recommendation engines that help your customers tailor their journeys based on preferences and past experiences, as well as choices made by other customer segments.
Inventory management and demand forecasting
Leverage AI’s predictive capabilities to forecast demand and optimize inventory across the entire supply chain — from manufacturers/suppliers to data warehouses, distribution centers, and the shop floor.
Customer service
Your clients will love AI-powered chatbots, offering round-the-clock help with purchases, deliveries, payments, and tech support.
Dynamic pricing
Monitor competitor price movements in real time and automatically adjust your pricing strategy. AI can also offer discounts to customers at a particular stage of their pricing journeys (e.g., those about to leave the site) to encourage conversions.
Virtual try-on
The combo of AI and AR enables a shopping experience that surpasses traditional shopping. Let your clients visualize how products will fit them without the physical try-on.
Edtech
Tap into the synergy of AI and our edtech expertise to uncover new opportunities like adaptive learning and advanced analytics.
Automated grading
Automated grading systems, powered by NLP and pattern recognition, provide impartial assessment and fast feedback on student performance. Plus, these systems can analyze huge volumes of data to identify a learner’s weak points, offering personalized suggestions and enriching the learning experience.
Personalized learning
AI can craft personalized learning paths, aligning educational content and pace with each learner’s needs while providing individualized guidance, targeted explanations, and feedback.
Assistive technologies for special education
Speech-to-text and text-to-speech technology facilitate learning for students with vision or hearing impairments. The predictive capabilities of generative AI can also support learners with dyslexia.
Administrative efficiency
AI can help optimize curriculum planning, class scheduling, and room assigning. Additionally, AI-powered chatbots manage administrative queries related to enrollment, syllabi, schedules, deadlines, and tuition fees.
Excited about AI’s potential, but something still holds you back? We get it: taking the first step can be challenging.
Still, the long-term benefits of AI adoption speak for themselves: companies with a high level of AI maturity typically see 3X higher ROI than those just testing the AI waters.
AI in action: our transformative projects driving change
Seven pillars of AI model development process
From setting goals to ongoing monitoring — check out how Vention ensures the smooth delivery of AI components.
Mathematical formalization
To lay the groundwork for successful AI model development, we establish clear, measurable outcomes (think automation impact and ROI) and thoroughly plan KPIs to achieve them. This includes defining metrics for AI training or evaluation like accuracy, precision, recall, and F1 score.
Data collection
This stage involves auditing data sources and setting up ETL processes — both critical for effective data collection.
Exploratory data analysis
Our data scientists dive deep into the gathered data to identify patterns, spot anomalies, test hypotheses, and validate assumptions.
Data preprocessing
To create high-quality, accurate models, we clean data of errors and duplicates and enrich it when needed (e.g., generating additional data points by rotating images or adjusting contrast).
For supervised or unsupervised learning, this stage includes feature engineering and selection. For example, in a recommendation engine, we might use user preferences, browsing history, and item attributes. In deep learning, feature extraction is automated, eliminating the need for manual input from data scientists.
AI training and validation
The dataset is split into two parts: one for training the model and the other for validation. Data scientists fine-tune the model’s hyperparameters to minimize discrepancies between predicted and actual outputs.
Validation is a critical step that involves testing the trained model on a separate test dataset to assess its performance.
AI deployment
Once trained and validated, the model is ready to work with real-world data. It’s integrated with IT infrastructure components — servers, databases, or APIs — to access the data, process it, and deliver the expected results.
AI monitoring
Post-deployment, we continuously monitor the model to prevent performance degradation. This process may include automated alerts, logging, and regular model retraining to address any issues that arise.
Trusted methods for building innovative solutions
At Vention, our expertise in machine learning subsets — supervised, unsupervised, and deep learning — helps us deliver solutions that are not only state-of-the-art, but also instrumental in driving impressive business outcomes.
When providing engineering services, we handpick the best of the AI and ML worlds for you.
Supervised learning
Linear regression
Logistic regression
Decision tree
Random forest
Gradient boosting
Support vector machine
ARIMA
SARIMAX
Naïve Bayes
K-nearest neighbors
Neural network models
Ensemble learning
Unsupervised learning
K-means clustering
Gaussian mixture
Hierarchical clustering
Principal component analysis
Mean shift
Singular vector decomposition
Collaborative filtering
Deep learning
Convolutional neural networks
Recurrent neural networks
Encoder-decoder architectures and transformers
Common architectures (ResNet, U-Net, YOLO, Mask-RCNN, MTCNN, BERT)
Autoencoders
Generative adversarial networks
Tech stack we use
We craft custom AI solutions, blending the sharpest tech to sharpen your edge.
Programming languages:
Python
R
C++
ML & AI frameworks:
TensorFlow
PyTorch
scikit-learn
Keras
XGBoost
LightGBM
CatBoost
Sktime
Prophet
Deep learning libraries:
fast.ai
Keras
PyTorch
Transformers
Sentence-Transformer
PyTorch Lightning
Generative AI technologies:
OpenAI GPT
DALL-E
Stable Diffusion
Midjourney
Natural language processing:
NLTK
spaCy
Transformers (by Hugging Face)
Gensim
FastText
TorchText
Computer vision:
OpenCV
Detectron2
YOLO
Mask R-CNN
Torchvision
Mmdetection
Pillow
Albumentations
Data preprocessing and ETL:
PySpark
Polars
Pandas
Dask
Data analysis & visualization:
Pandas
NumPy
Matplotlib
Seaborn
Tableau
Plotly
Bokeh
Dash
Altair
MLOps tools:
MLflow
DVC
Kubeflow
TensorBoard
Weights & Biases (W&B)
ClearML
CometML
TorchServe
Triton
Hyperparameter optimization tools:
HyperOpt
Optuna
Interpretability and monitoring:
TensorBoard
SHAP
LIME
Evidently
Cloud platforms:
Amazon SageMaker
Azure Machine Learning
Google AI Platform
Google Cloud AutoML
Big data technologies:
Apache Hadoop
Apache Spark
Apache Kafka
Vector databases:
Faiss
Pinecone
3D modeling:
COLMAP
Gaussian Splats
NeRFs (Neural Radiance Fields)
FAQ
I’ve heard that the success of AI solutions depends heavily on data quality. Should I be concerned if I'm unsure about my data quality?
No need to worry. At Vention, we never start AI solution development until we are fully confident in the quality of your data. This assessment is crucial part of the AI project discovery phase.
Can I completely trust the AI output?
Absolutely. For every project, we use high-quality data, prevent AI model bias, and define KPIs to develop AI software that generates trustworthy output.
What cooperation models do you offer?
As an AI software development company serving diverse business needs, we offer three cooperation models: project outsourcing, dedicated teams, and staff augmentation. You can read the details about each here.