B2B AI Company Delivering Enterprise-Grade AI Solutions

KISS Software develops custom B2B AI solutions for marketing, sales, logistics, HR, analytics, and customer service.

Order B2B AI solutions

Why work with KISS Software

  • Hands-on experience implementing AI in B2B industries
    Hands-on experience implementing AI in B2B industries

    We’ve delivered AI solutions for logistics, finance, eCommerce, marketing, and customer support — with measurable results.

  • End-to-end delivery: from idea to scaling
    End-to-end delivery: from idea to scaling

    You don’t just get a model — you get a complete business solution tailored to your processes and teams.

  • Flexibility, confidentiality, and customization
    Flexibility, confidentiality, and customization

    We work under NDA, integrate with your existing stack and infrastructure, and adapt interfaces to your internal workflows.

Top 6 enterprise AI solutions we deliver

AI analytics and business forecasting

Models that analyze large datasets and predict demand, customer churn, and market trends.

Enterprise chatbots and NLP solutions

AI bots that handle customer inquiries, automate HR and support, and understand natural language.

AI for sales and marketing (MarTech)

Segmentation, personalization, lead scoring, predictive analytics, and AI-generated marketing content.

Intelligent automation solutions (RPA + AI)

Automation of document flow, requests, billing, and other processes enhanced with machine learning.

AI for logistics and supply chain management

Route optimization, demand forecasting, and warehouse process automation.

AI for risk management and security

Fraud detection, user behavior analysis, and predictive analytics for cybersecurity.

Need to accelerate business processes and reduce costs?

Implement AI across your company and make data-driven decisions — faster, more accurate, and scalable.
Request an analysis — we’ll identify automation opportunities

Testimonials

Мы заказывали у KISS Software анимацию для 2D-платформера. Ребята сразу поняли нашу стилистику, предложили интересные решения по эмоциям персонажей, а результат превзошёл ожидания. Игроки отмечают именно «живость» анимации. Будем работать ещё.
Андрей
гейм-дизайнер
Нужно было подключить аутсорс на этапе риггинга и внутриигровых синематиков под Unreal Engine. KISS вошли в проект аккуратно, без долгих вводных, всё отдали в срок, багов — ноль. Отличная техничка, быстрая реакция и понимание продакшн-процесса.
Михаил
продюсер, студия разработки игр
Уже третий проект делаем с командой KISS — всегда всё прозрачно, по делу и вовремя. У них реально хорошее чувство гейм-драмы и движущейся композиции. Отдельно ценим их подход к оптимизации под мобильные платформы.
Денис
CEO

Enterprise AI solution development stages

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Business analysis and requirements gathering
We interview key departments (marketing, finance, logistics, etc.). Define goals: profit growth, automation, error reduction. Analyze available data, channels, and infrastructure. Assess AI readiness. Define KPIs and success criteria.
Time to deliver
~ 1-2 days
Model selection and architecture design
Choose AI type: ML, DL, NLP, CV, or hybrid. Design architecture: cloud, on-premise, or edge. Select frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Estimate complexity, timelines, and budgets.
Time to deliver
~ 2-4 days
Data preparation and cleansing
Aggregate data from CRM, ERP, BI, websites, APIs, and sensors. Clean, normalize, and handle missing values. Build pipelines for continuous data updates. Configure encryption and secure storage. Implement data collection tools if needed.
Time to deliver
~ 3-7 days
Model training, testing, and validation, тестирование и валидация модели
Train models on historical data and test on holdout datasets. Validate accuracy, F1-score, MAE, and other metrics. Run A/B tests and pilot deployments. Adjust architecture if needed. Ensure robustness and generalization.
Time to deliver
~ 5-15 days
Integration into business processes
Embed AI into workflows via APIs, CRM, ERP, or web interfaces. Configure automated decisions or user recommendations. Ensure transparency through logs, monitoring, and reports. Train internal teams. Enable human–AI collaboration.
Time to deliver
~ 2-4 days
Support, scaling, and model updates
Monitor model drift and retrain when needed. Scale solutions across departments or regions. Improve model performance with new data. Conduct security audits. Help your company reach a higher level of digital maturity.
Time to deliver
~ 1-2 days

Technologies and tools we use

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Java
Javascript
Javascript
MySQL
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PHP
java photo
Java
Javascript
Javascript
MySQL
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PHP

FAQ

Yes. We integrate AI models into existing CRM, ERP, and internal platforms via APIs.

We use an MVP-first approach — start small, get fast results, and scale gradually.

Typically from 4 to 12 weeks, depending on scope, model complexity, and data volume.

Want to understand how AI can impact your company?

We’ll consult with you and identify real growth opportunities.

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