// AI & Machine Learning

AI & machine learning that creates real business value

Generative AI apps, intelligent chatbots, document automation and predictive models, built responsibly and integrated into your products.

// Overview

Why teams choose Tvarnix for AI & machine learning

AI is most valuable when it solves a specific, measurable problem. We help you find those opportunities, prove them quickly with a working prototype, then engineer reliable, secure AI systems that run in production, not just in demos.

What you get

  • AI feasibility and data assessment
  • Proof of concept with measurable results
  • Production-ready AI service and APIs
  • Evaluation and guardrail framework
  • Monitoring and retraining pipeline
  • Documentation and team handover
// Capabilities

What we deliver

Generative AI & LLM apps

Copilots, assistants and content tools built on leading LLMs, grounded in your data with retrieval-augmented generation (RAG).

AI chatbots & agents

Support and internal agents that answer questions, take actions and hand off to humans gracefully.

Document & process automation

Extract, classify and validate data from invoices, forms and contracts automatically.

Predictive analytics

Forecasting, churn prediction and anomaly detection models that turn data into decisions.

Computer vision

Image recognition, OCR, object detection and quality inspection for web, mobile and edge devices.

MLOps

Model deployment, monitoring, evaluation and retraining pipelines that keep AI reliable in production.

// Technology

Our AI & Machine Learning tech stack

Proven, well-supported technologies chosen for performance, security and long-term maintainability.

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • LangChain
  • LlamaIndex
  • Hugging Face
  • OpenAI API
  • Claude API
  • Gemini API
  • Amazon Bedrock
  • pgvector
  • Pinecone
  • FastAPI
// Delivery

A process built for predictable delivery

  1. 01DiscoverProduct brief, scope and estimate
  2. 02Plan & architectArchitecture document and backlog
  3. 03DesignFigma designs and prototype
  4. 04BuildWorking software every sprint
  5. 05Test & launchProduction release
  6. 06Support & scaleSLA-backed support and growth roadmap
FAQ

Frequently asked questions

Do we need a lot of data to use AI?

Not always. Many generative AI use cases work well with your existing documents and knowledge bases. For predictive models, we assess your data first and tell you honestly what's feasible.

Is our data safe when using AI models?

We design for privacy first: enterprise API terms that exclude training on your data, private deployments where required, access controls and PII redaction.

How do you measure whether an AI solution works?

We define success metrics up front, such as accuracy, resolution rate or time saved, and build evaluation suites that test the system before and after launch.

Can you add AI features to our existing app?

Yes. Most AI features can be integrated into existing products through secure APIs, without rebuilding your app.

Let’s talk about your AI & machine learning project

Tell us what you’re planning. You’ll get a clear scope, timeline and estimate from engineers who have built it before.

Prefer email? sales@tvarnix.com