AI/ML and Generative AI

We take products to the next level with artificial intelligence — we automate processes, create personalized experiences, predict user behavior and introduce innovations.

The Softaro team implements the full cycle of AI/ML development: from problem formulation and data collection to model training, optimization, implementation and monitoring. We create custom ML models, integrate ready-made LLM solutions and apply Generative AI in a business context.

What tasks do we solve

We help companies turn data into a competitive advantage — optimizing costs, improving customer experience, and opening up new sources of revenue.

Forecasting demand, prices, churn, LTV

We work with time series, decision trees, gradient boosting, XGBoost, CatBoost, Prophet, etc.

Recommendation and personalization systems

We implement content and collaborative filters, Embedding models, ML services for e-commerce, marketing, and EdTech.

Image and video processing (Computer Vision)

Object detection, OCR, classification, tracking, content generation (stable diffusion, GAN), medical image analysis.

Generative AI: Chatbots, Copilots, automated texts

We integrate GPT models (OpenAI, Azure, Anthropic), use LangChain, LlamaIndex, Pinecone for custom scenarios.

AI for document management: data extraction, classification

We optimize work with PDFs, scans, questionnaires, and contracts by automating routine tasks.

Integration with business systems (CRM, websites, API)

We implement models into real products via REST API, WebSocket, or as separate microservices.

Intelligent solutions for real business
Softaro AI/ML services are not just experiments, but production-ready solutions with real business impact. We don't "play" with models - we help companies achieve their goals through deep analysis, correct problem formulation and precise implementation. We have experience working with large data sets, edge AI (on devices), cloud platforms (AWS Sagemaker, Vertex AI, Azure ML), annotation tools, MLOps pipelines, custom LLM scripts. We choose technologies depending on the task: TensorFlow, PyTorch, FastAPI, MLflow, OpenCV, Transformers, LangChain and others.
How we work
3 key stages of cooperation
Analysis and design
(1-4 weeks)

We start with a deep dive into your business. We conduct a Discovery phase, studying goals, pain points, and the specifics of financial processes. At this stage, we form a product vision, select technologies, design architecture and UX logic. The result is a technical and strategic basis for reliable implementation.

Development and integration
(1-4 weeks)

The Softaro team creates a custom product in stages: from the backend to the interfaces, with an emphasis on security, performance and scalability. We integrate external APIs, connect KYC, antifraud, scoring and payment systems modules. We use CI/CD, automated testing and continuous quality control.

Launch, support and development
(1-4 weeks)

After launch, we provide full support: technical support, monitoring, functionality updates, and system scaling. You get not just a ready-made product, but a stable technology partner for long-term growth.

Why choose Softaro
We don't just code — we solve problems.

Deep Expertise

Our team consists of experienced engineers, analysts, and architects who live by technology and are constantly improving.

A comprehensive approach

Before writing the first line of code, we dive deep into the client’s business goals. We analyze the context, product logic, and expected results to ensure that the solution is not only technologically advanced, but also business-effective.

Customer Focus

Your success is at the heart of our work. We strive to exceed expectations by staying connected, responding quickly, and thinking strategically with you.

Flexible collaboration formats

We adapt to the specifics of each project: from short-term MVPs to long-term development with integration into the client’s team. You choose a convenient interaction model.

Fair Pricing

We offer high quality solutions at a reasonable cost. Our projects are budget optimization without sacrificing quality, with a focus on ROI.

Transparency and Control

We build trust through open communication. You have full access to development progress, timelines, metrics, and can influence the process at any time.

Technologies underlying our solutions

Cases

Назва кейсу

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Назва кейсу

Hourly contract recruiting denotes a legal hourly contractrecruiting agreement between two parties. Theindependent contractor, represented by the recr...

FAQ

Do you do custom ML models or use ready-made ones?

It depends on the task. We both create models from scratch and integrate ready-made LLM or AI services for specific cases.

Is it possible to implement AI in a small business?

Yes, there are many low-cost AI solutions: chatbots, text extraction from documents, simple classification models, content generation, etc.

What models do you use in Generative AI?

GPT-3.5, GPT-4, Claude, LLaMA, Mistral, Stable Diffusion, Whisper, as well as multimodal models (in text+image).

How secure are your solutions?

We take ethical aspects into account, implement censorship mechanisms, logging, prompt injection control, and access restrictions.

How much data is needed to train the model?

The more the better, but sometimes 10–20 thousand records are enough. We can also use transfer learning.

How is the implementation of models going in your company?

We create Docker containers with models that are easy to integrate into the backend or as an API.

How long does it take to implement an AI project?

An MVP can be obtained in 3–5 weeks, full integration - from 2 to 3 months, depending on the complexity.

Do you have an idea or project? Tell us about it – we will help you implement it

We are open to partnerships, pilot launches, technical consulting and new ideas. Leave a request or contact us directly – and we will get back to you as soon as possible.

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