We use TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, OpenAI APIs, and managed cloud AI services on AWS and Azure.
AI & Machine Learning
AI & Machine Learning Development Company
AI is now a competitive advantage. Tekvers helps businesses automate intelligently, predict accurately, and personalize experiences through practical production-ready AI systems.
We are an engineering-led team that integrates AI where it creates real ROI. Every solution is explainable, monitored, and designed to improve over time.
What We Deliver
Concrete capabilities included in a typical ai & machine learning engagement.
- LLM integration using OpenAI, Claude, and Gemini APIs
- Custom ML models for prediction, classification, and regression
- NLP solutions including chatbots and document intelligence
- Computer vision for OCR, recognition, and object detection
- Intelligent automation and AI-powered semantic search
- Data pipelines for ETL, feature prep, and model operations
Why Tekvers
- Senior engineers and domain specialists—not a revolving bench of juniors.
- Transparent delivery with demos, documentation, and handoffs your team can maintain.
- Production experience across 3+ relevant engagements in our portfolio.
- Pragmatic architecture: ship value early, then expand without rewriting the foundation.
Our Process
A structured delivery model from discovery through launch and ongoing support.
Discovery & scope
Stakeholder workshops, backlog prioritization, and a delivery plan with milestones your team can track.
Design & architecture
UX flows, technical architecture, and integration design—validated before build velocity ramps up.
Build, QA & launch
Sprint delivery with demos, test coverage on critical paths, and production deployment with documentation.
Support & iteration
Post-launch monitoring, training, and a roadmap for the next phase of features or scale.
Technologies We Use
TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, OpenAI API, AWS SageMaker, and Azure AI services.
Relevant Case Studies
Production projects from our portfolio that demonstrate how we deliver ai & machine learning for real businesses.

Velay
Challenge: Sports venues needed booking, payments, inventory, and customer communication—but existing tools were generic or offline spreadsheets.
Solution: Six-application ecosystem with NestJS multi-tenant API, WebSockets, AI-assisted booking parsing, and React Native mobile apps.
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DEGN DApp
Challenge: Solana traders needed fast token swaps, fiat on-ramps, portfolio tracking, and secure wallet infrastructure in one cohesive product.
Solution: Multi-application ecosystem with NestJS/MongoDB backend, Jupiter DEX integration, Turnkey wallets, and multiple frontends including mobile apps.
Read full case study
Taxi Booking Platform
Challenge: A UK taxi operator needed online booking, fleet management, layered pricing, and SEO landing pages across multiple branded sites.
Solution: Multi-app platform: NestJS API, React admin, and multiple Next.js branded customer sites with programmatic SEO and Stripe payments.
Read full case study
Frequently Asked Questions
Not always. We help assess your current data and pick the most practical architecture for fast business impact.
Ready to discuss ai & machine learning for your team? Share your backlog and we'll scope a practical delivery plan.