Data in.
Intelligence out.
We design, build and run machine learning and AI systems that deliver measurable results for your business.
Services
Practical expertise across the full data and AI lifecycle.
Machine Learning Solutions
Forecasting, classification, recommendation, anomaly detection and optimization tailored to your data.
Generative AI & LLMs
RAG assistants, document intelligence, agents and workflow automation, with evaluation and guardrails.
MLOps & Deployment
CI/CD for models, monitoring, drift detection and scalable cloud infrastructure.
Data Engineering
Reliable pipelines, warehouses and feature stores that make your data AI-ready.
AI Strategy & Audits
Opportunity mapping, feasibility assessments and roadmaps prioritized by business impact.
Why Qatna
Fewer slides, more working systems. You get a solution that runs in production, not a report.
We help companies turn their data into models and AI tools that save time or earn money, and we stay until they run reliably.
We are a small, senior team. You talk directly to the people building your solution, with no account managers in between.
How we work
A lean, transparent process with value delivered at every stage.
Discover
Define the problem, success metrics, and data readiness.
Prototype
Fast experiments to prove feasibility and impact.
Build
Production-quality models and pipelines, fully tested.
Deploy & Scale
Launch, monitor, and iterate with your team.
Tools we use
Technology-agnostic, pragmatic choices.
Python
PyTorch
TensorFlow
scikit-learn
Pandas
NumPy
Hugging Face
Anthropic
LangChain
FastAPI
PostgreSQL
Apache Spark
Airflow
Databricks
Snowflake
MLflow
Docker
Kubernetes
Terraform
Google CloudPythonPyTorchTensorFlowscikit-learnPandasNumPyHugging FaceAnthropicLangChainFastAPIPostgreSQLApache SparkAirflowDatabricksSnowflakeMLflowDockerKubernetesTerraformGoogle CloudQuestions
Short answers to what clients usually ask first.
How does a project start?
With a short call to understand the problem and your data. Within a few days you get a written proposal with scope, timeline and price.
Do we need to have our data ready?
No. Part of the discovery stage is assessing what you have and what is missing, so you know what is realistic before committing to a build.
Where does the work run and who owns it?
In your cloud account whenever possible. You own the code, models and documentation we produce.
Can you work with our team?
Yes. We can lead delivery end to end or support your engineers, and we document everything so your team can maintain it.
How do you handle sensitive data?
We work under NDA, apply least-privilege access and can keep data inside your environment. Tell us your constraints on the first call.
Let's talk
Tell us about your challenge. We reply within one business day.