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.

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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.

01

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

02

Computer vision

Extract insights from images and video, blending the real and virtual worlds.

  • Image recognition 

  • Face recognition 

  • Optical character recognition 

  • Augmented reality

03

Structured data analysis

Benefit from intelligent recommendations, strategic suggestions, and advanced insights that elevate decision-making.

  • Predictive analytics 

  • Prescriptive analytics 

  • Recommendation systems 

  • Segmentation

Alexander Yakovlev
Alexandr Yakovlev
Director of Engineering
"As AI technology rapidly evolves, we don’t just adapt — we innovate.
True to Vention’s mission of delivering engineering peace of mind, we’ve launched a comprehensive AI program led by our top experts. The goal? To rapidly capture best practices and deliver the latest AI breakthroughs to our clients, empowering you to lead your industry with the most current technology and giving your users the edge they deserve."

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.

We know it AI-ll.Get all your AI questions answered and discover your next game-changing solution.
Connect with our experts today

Why Vention?

20

Years of experience in custom development

100+

AI professionals

150+

Completed AI projects

Partnerships with AWS, Microsoft, and Google

Trusted by the best
At Vention, we're proud to deliver transformative solutions to businesses ranging from early-stage startups to established Fortune 500 enterprises.

Our clients say it best

Paul Steckler

Paul Steckler

Founder & Senior Partner, Ramp Catalyst

Our clients say it best

They have done multiple projects around AI, ML and VR spaces. We worked on leading-edge voice agent technology.

They recently built an AI agent with Ph.D.-level research and development skills; the result was a breakthrough for that industry. We’ve generated several recommendation engines for products in the VR space and are near selling a start-up built with Vention resources.”

Our clients say it best

Vadim Berman

Vadim Berman

Our clients say it best

We develop and distribute artificial intelligence (AI) software to extract actionable intelligence for brands, and to detect abuse on the internet.

Despite our very niche and specialized application domain, the developer assigned to us has been doing a great job understanding our needs and developing a quality product.”

Our clients say it best

Lior Harel

Lior Harel

Our clients say it best

The model we chose is team extension, developers joining the core engineering team.

We're happy with those additions to the team. The programmers are a fantastic addition to the group. They were promptly integrated and brought up to speed. The level of expertise of the developers they let me interview is impressive. And the ones we eventually hired.”

Seven pillars of AI model development process

From setting goals to ongoing monitoring — check out how Vention ensures the smooth delivery of AI components.

01

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.

02

Data collection

This stage involves auditing data sources and setting up ETL processes — both critical for effective data collection.

03

Exploratory data analysis

Our data scientists dive deep into the gathered data to identify patterns, spot anomalies, test hypotheses, and validate assumptions.

04

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.

05

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.

06

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.

07

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.

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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)

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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.

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