AI solutions are easy to demo but hard to engineer for complexity.
We engineer for accuracy and scale, not just to impress the investor.
AI built to meet YOUR needs and unlock new levels of efficiency.
With over 2 decades of experience, 300+ specialists, 280+ projects, and over 50 experts for bold R&D projects, we are the partner you choose to stay one step ahead, always – to see real results, not just shiny prototypes. A strong, science-backed mindset and expertise across industries to find a solution, no matter the problem.
An applied AI & R&D partner, not another AI vendor.
A reliable AI assistant that turns scattered reports, siloed notes, and messy PDF files into instant, clear insights. Data access without struggle, overall greater R&G throughput, and more to automate agri-biotech research.
The review of literature got faster by 50-60%.
The number of hypotheses has grown by 2-3x.
A modular multi-agent system that turns natural-text questions into direct business answers in almost no time. Data-backed decision-making, reduced time and cost of analysis, more trust, better scalability – a tool to deliver due diligence with confidence.
The result: less guesswork, more impact.
The weeks of analysis are done in days.
A trained AI assistant that turns endless browsing into balanced, personalized conversations to guide the user. A longer session duration, a higher conversion rate (and revenue), and more for exceptional buyer experience.
The result: no more manual tagging.
In numbers, the daily manual effort was cut by 60%.
AI automating customer support to turn incoming requests into fast, controlled resolutions with no extra stress. Faster triage without overhead or losing human oversight – a solution completely rewiring everyday workflows for mature financial corporation.
The result: lower delays, higher retention.
About 30% of requests are automated.
“Their project management was some of the strongest we’ve ever worked with. …We had an excellent working cadence where we would test everything and send them notes, and they would work on that overnight and give it back to us the next day. They always hit deadlines, and very often, they exceeded them.”
Ryan Fiorini
Co-Founder & CEO
Blinktbi
33% of our employees have an ISTQB certification.
35% of our employees have a Microsoft certification.
86% hold master’s degrees in engineering.
A proven track record and confident 4.9 rating on Clutch.
Vision, language, speech, documents, data, sensors.
ABTO’s flexibility helps deal with unexpected situations, which often occur in business. Stakeholders chenge their minds, or suffer unexpected business shocks.
Abto Software specialists developed a huge and extremely flexible SharePoint Client App for a Swiss customer providing various IT services, including the development of software based on SharePoint and its extensions.
We started to build a dedicated team in Lviv together with Abto Software 3 years ago. As a product vendor, we rely on resources that can build up knowledge about our products long-term. Abto was able to provide us with these services.
YOLO, ResNet, SqueezeNet, Inception, EfficientNet, SSD, MobileNet, U-Net, Mask R-CNN, Segment Anything, DensePose, OpenPose, Neural Radiance Fields (NeRF), Video Understanding, Optical Flow Estimation, Structure-from-Motion (SfM), SLAM, Visual Odometry, Camera Calibration, Object Tracking, Depth Estimation, Semantic Scene Understanding, ORB, SIFT, Haar Cascades, Kalman Filter.
Generative Adversarial Networks (GANs), Autoencoders, Variational Autoencoders (VAE), Stable Diffusion, Denoising Diffusion Probabilistic Models (DDPM), Neural Style Transfer, Synthetic Data Generation (including 3D), Domain Randomization, CutMix, Mixup, RandAugment, AutoAugment.
Llama, Mistral, Claude, GPT-3/4, PaLM, Tokenization, Vectorization, Bag-of-Words, Word2Vec, Seq2Seq, Prompt Engineering, Instruction-Tuning, Knowledge Graph Integration, Prompt-Based Learning, Meta-Learning, Continual Learning.
Support Vector Machines (SVM), K-Means, DBSCAN, Decision Trees, Random Forest, KNN, XGBoost, PCA, t-SNE, Isolation Forest, Gradient Boosting Machines, SHAP, LIME, Grad-CAM, Feature Attribution, Model Auditing.
Transformers, GPT, Transformer-XL, Vision Transformers (ViT), LSTM, GRU, Bidirectional RNNs, Attention-Based RNNs, CLIP, BLIP, Graph Neural Networks (GNN), Autoregressive Networks.
Continuous Integration / Continuous Deployment (CI/CD), Docker, Kubernetes, TensorFlow Serving, TensorRT, ONNX, RKNN, Model Monitoring.
YOLO, ResNet, SqueezeNet, Inception, EfficientNet, SSD, MobileNet, U-Net, Mask R-CNN, Segment Anything, DensePose, OpenPose, Neural Radiance Fields (NeRF), Video Understanding, Optical Flow Estimation, Structure-from-Motion (SfM), SLAM, Visual Odometry, Camera Calibration, Object Tracking, Depth Estimation, Semantic Scene Understanding, ORB, SIFT, Haar Cascades, Kalman Filter.
Generative Adversarial Networks (GANs), Autoencoders, Variational Autoencoders (VAE), Stable Diffusion, Denoising Diffusion Probabilistic Models (DDPM), Neural Style Transfer, Synthetic Data Generation (including 3D), Domain Randomization, CutMix, Mixup, RandAugment, AutoAugment.
Llama, Mistral, Claude, GPT-3/4, PaLM, Tokenization, Vectorization, Bag-of-Words, Word2Vec, Seq2Seq, Prompt Engineering, Instruction-Tuning, Knowledge Graph Integration, Prompt-Based Learning, Meta-Learning, Continual Learning.
Support Vector Machines (SVM), K-Means, DBSCAN, Decision Trees, Random Forest, KNN, XGBoost, PCA, t-SNE, Isolation Forest, Gradient Boosting Machines, SHAP, LIME, Grad-CAM, Feature Attribution, Model Auditing.
Transformers, GPT, Transformer-XL, Vision Transformers (ViT), LSTM, GRU, Bidirectional RNNs, Attention-Based RNNs, CLIP, BLIP, Graph Neural Networks (GNN), Autoregressive Networks.
Continuous Integration / Continuous Deployment (CI/CD), Docker, Kubernetes, TensorFlow Serving, TensorRT, ONNX, RKNN, Model Monitoring.
MATLAB, Simulink, RStudio, VSCode, JupyterLab / Jupyter Notebooks, Colab
Flask, FastAPI, Docker, Kubernetes, MLflow, TensorFlow Serving, Streamlit
Keras, TensorFlow, PyTorch, XGBoost, LightGBM, CatBoost, NumPy, SciPy, Scikit-learn, Pandas, NLTK, spaCy, Hugging Face Transformers, Matplotlib, Seaborn, Plotly, JAX, FastAI
OpenCV, Dlib, BoofCV, Google ML Kit, CoreML, Apple Vision, TorchVision
OpenAI API, Anthropic Claude API, Google Gemini, Amazon Bedrock, Cohere, LangChain, LangGraph
AWS SageMaker, Vertex AI, Azure Machine Learning
In brief, a custom AI solution is designed around operations, data, systems, and issues that are already there. This means, the future AI solution is trained around workflows rather than the workflows being adapted to it.
Work with a trusted custom AI solutions company and get exactly what you need.
Most custom AI tools smoothly integrate with already existing systems: ERPs, CRMs, or custom data platforms. This means greater efficiency across workflows without replacing the stack.
Why not go for custom AI/ML solutions development for businesses to avoid the risks?
AI solutions will connect business automation, analytics, reporting, and decisions into one single ecosystem. This means more consistent data management, efficiency, coordination, and optimized resource allocation.
Work with a proven AI development company understanding your vision and see the benefits right away.
AI solutions can impede data privacy & security and cause data bias, as well as non-compliance with standards. These issues are resolved by implementing stringent governance, security-focused measures, ethical policies, and careful human oversight and monitoring.
Make sure to pick AI software development provided by professionals and forget about risks for good.
A typical price range:
The factors that affect the cost might include:
A typical timeline range:
The factors that affect the deadlines might include:
You don’t actually need a million different samples to integrate AI successfully with today’s modern models.
A typical data volume:
You can totally deploy on public cloud platforms – for modern AI adoption, it’s actually very recommended.
And here is why:
No matter the scope, you have to measure the success (or failure) to understand where exactly you stand.
Key metrics to watch:
No matter the complexity, you have to think of maintenance & support to avoid getting into serious trouble.
The needs might include: