Unlock Growth with Custom AI Solutions
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Our AI-Centric Services
AI Product Strategy & Roadmapping
Custom AI Development
AI-Powered Web & Mobile Apps
AI Integration Services
FleetIQ
AI Use Case: Predictive Maintenance for Logistics
We built a machine learning system that analyzes real-time vehicle sensor data and historical repair logs to predict equipment failures before they happen. The system alerts fleet managers to take action, reducing unplanned downtime by 40% and cutting maintenance costs by over $500K annually.
Our AI Delivery Process
Why Choose Kodevent for AI Projects
Focused on Impact
Our AI projects have helped clients increase revenue by 10–20%, reduce manual work by 60%+, and improve customer retention.Fast Prototyping
From idea to working AI prototype in as little as 3–4 weeks — validated with real data.Human-Centered
We don’t just build algorithms — we deliver experiences. UX and explainability are embedded in our process.Full Transparency
Weekly updates, shared notebooks, and a clear line from model metrics to business KPIs.
AI Technology Stack
We use a mix of best-in-class AI frameworks and cloud infrastructure to deliver reliable, production-grade systems.
AI / ML frameworks
- PyTorch
- TensorFlow
- OpenAI API
- Hugging Face
- LangChain
- FastAPI
- MLflow
- PyTorch
- TensorFlow
- OpenAI API
- Hugging Face
- LangChain
- FastAPI
- MLflow
Backend and DevOps
- Python
- Node.js
- Go
- Docker
- Kubernetes
- AWS
- GCP
- Azure
- Python
- Node.js
- Go
- Docker
- Kubernetes
- AWS
- GCP
- Azure
Databases & Vector Storage
- PostgreSQL
- MongoDB
- Pinecone
- Redis
- DynamoDB
- PostgreSQL
- MongoDB
- Pinecone
- Redis
- DynamoDB
GenAI & LLM Apps
AI Automation
Post-Launch Optimization
AI Project Engagement Models
Whether you need full-cycle AI product delivery, integration support, or team extension — we tailor collaboration to your goals.
Success Stories

FinSight
We partnered with a fintech platform to build an AI-driven financial insights engine that analyzes user behavior and transaction data to deliver hyper-personalized spending reports, savings tips, and credit optimization advice. As a result, user engagement increased by 48% and average session time grew by over 60% within the first quarter after launch.
Industry: Fintech
Market: Global
Team size: 5 engineers
Cooperation: 2024 – present
Technologies and tools: Python, LangChain, PostgreSQL, React Native, OpenAI API, AWS
Pulse
We developed an AI-powered patient triage system for Pulse that uses NLP to analyze patient symptoms and medical histories via chat interfaces. This solution prioritizes cases for healthcare providers, improving response times by 40% and optimizing resource allocation across clinics.
Industry: Healthcare
Market: North America
Team size: 4 engineers
Cooperation: 2024 – present
Technologies and tools: Python, spaCy, PostgreSQL, GraphQL, AWS

Start Building with AI Today
Describe your AI opportunity, challenge, or product vision. We’ll respond with a tailored plan.
What're the next steps?
- Tell us about your goals and ideas — we’ll help turn them into intelligent, scalable software.
- Our team will analyze the use case, estimate value, and map out a project scope with timelines and costs.
- We’ll schedule a discovery session to finalize priorities, risks, and team structure.
- Your AI project starts within 7–10 business days of contract approval.