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Custom AI Solutions

Unlock Growth with Custom AI Solutions

At Kodevent, we specialize in building AI-first products that drive automation, personalization, and strategic insight. Our AI engineers embed directly into your process to deliver intelligent, scalable solutions tailored to your industry.
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What we do

Our AI-Centric Services

Whether you're building from scratch or embedding AI into an existing system, we turn business needs into intelligent, real-world applications.

01AI Product Strategy & Roadmapping

We help you identify valuable AI opportunities, assess feasibility, and define a scalable roadmap - from early data analysis to model deployment. Use cases include predictive churn, fraud detection, and intelligent process automation.

02Custom AI Development

From generative AI to real-time decision engines, we build production-grade systems that learn, adapt, and deliver.

03AI-Powered Web & Mobile Apps

Intelligent apps that think ahead. We design and build full-stack platforms with integrated AI functionality.

04AI Integration Services

We integrate AI into CRMs, ERPs, analytics, and internal tools - using APIs, cloud AI services, and custom-trained models. This includes GPT-4 integration, automated document processing, and predictive dashboards.

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.
How it works

Our AI Delivery Process

We follow a lean and agile approach to AI product development, ensuring fast iterations and meaningful outcomes.

We work with your domain experts to identify where AI can add the most value, evaluating technical feasibility and data availability.

We build lean AI prototypes and evaluate real-world data to test hypotheses and mitigate risk early.

Our team develops, trains, and tunes ML models while engineering robust, scalable infrastructure for production.

We continuously validate the model with business stakeholders, adding feedback loops and explainability layers where needed.

We deploy models via APIs, cloud endpoints, or edge devices. Post-launch, we monitor and retrain models to maintain performance.

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

Backend and DevOps

  • Python
  • Node.js
  • Go
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Azure

Databases & Vector Storage

  • PostgreSQL
  • MongoDB
  • Pinecone
  • Redis
  • DynamoDB

  • AI Opportunity Mapping

    Identify which business functions benefit most from AI and where automation creates clear ROI.

  • GenAI & LLM Apps

    Build apps using OpenAI, Claude, or custom fine-tuned LLMs to enhance workflows, summarization, or customer engagement.

  • AI Automation

    From document processing to intelligent assistants, we replace manual effort with machine precision.

  • Post-Launch Optimization

    Keep your models accurate and aligned through regular retraining, monitoring, and A/B testing.

AI Project Engagement Models

Whether you need full-cycle AI product delivery, integration support, or team extension - we tailor collaboration to your goals.

AI Staff Augmentation

Extend your team with AI/ML engineers, data scientists, and MLOps specialists to supercharge your roadmap.

Dedicated AI Delivery Teams

We assemble full-cycle AI teams for ongoing initiatives or complex greenfield builds - ready to lead delivery end-to-end.

End-to-End AI Product Delivery

Bring us your idea or challenge - we’ll handle strategy, modeling, engineering, UX, and deployment with a single accountable team.

Success Stories

Case in point

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.

  • IndustryFintech
  • MarketGlobal
  • Team size5 engineers
  • Cooperation2024 – present
  • Technologies and toolsPython, LangChain, PostgreSQL, React Native, OpenAI API, AWS
FinSight
Case in point

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.

  • IndustryHealthcare
  • MarketNorth America
  • Team size4 engineers
  • Cooperation2024 – present
  • Technologies and toolsPython, spaCy, PostgreSQL, GraphQL, AWS
Pulse
Contact

Start Building with AI Today

Tell us what you're building - we'll get back to you within one business day. Confidentiality matters? We sign an NDA upfront.

Mikhail Aksionchyk
Mikhail Aksionchyk Head of Executive Operations LinkedIn

What happens next?

  1. Tell us about your goals and ideas - we’ll help turn them into intelligent, scalable software.
  2. Our team will analyze the use case, estimate value, and map out a project scope with timelines and costs.
  3. We’ll schedule a discovery session to finalize priorities, risks, and team structure.
  4. Your AI project starts within 7–10 business days of contract approval.

Describe your AI opportunity, challenge, or product vision. We’ll respond with a tailored plan.

Please tell us a bit about your project.
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