We provide overall data science services in a variety of areas.

Plan the implementation of AI and
Data Science solutions to automate
your processes and improve the efficiency of your business.

Strategic planning

Built for companies that are new to the data world, our data audit process helps your business tackle major concerns - from data protection to data accuracy.

Data audit process

Our AI Adoption Process is an introductory service that is increasing globally among organizations seeking to optimize operations and improve efficiency and production standards.

AI adoption process

Use the best Predictive Models to forecast the future and anticipate market trends.

Time-series forecasting

Solve complex problems using the most effective Operations Research and Meta- Heuristic algorithms and tools.

Optimization

Use advanced Exploratory Data
Analysis techniques to uncover actionable insights about your projects, operations and markets.

Business intelligence

Build personalised recommender systems to recommend products, media content or ads, to target your clients more effectively.

Recommender system

Use text analysis and generation techniques to build automated sentiment analysis systems, interactive chatbot helpers, spam and anomaly detectors, and process large amounts of text to uncover trends and insights.

Natural language processing

Use modern Computer Vision techniques to automatically label images and videos, detect and segment objects, recognise faces, determine poses, track and classify movements, or map an environment.

Computer vision

Cut costs by automating your processes using state of the art
Machine Learning algorithms.

Automation

Solve problems that require multiple interactions with an environment to achieve your goals.

Reinforcement learning

Mlops bootstrap
Production increment

Execution

Ideation

Briefing
Benchmark
Data sources
Problem defenition

Research

Our Data Science Development Process.

Exploratory analysis
Predictive analysis
Proof of concept
Viability assessment

We kick off our AI process with a comprehensive look into your business vision, exploring the existing solutions and data out there so that the problem is specified clearly.

After gathering the data, we conduct an extensive review of the information to brainstorm potential solutions. We then validate our ideas with proof-of-concept tests, followed by an evaluation of their feasibility.

Once the prototype is integrated into the product, a streamlined MLOps is established to enable rapid experimentation and product advancement

Throughout the duration of the project, our AI solution's high-level architecture and Project Plan are meticulously crafted and further refined, taking into consideration all necessary requirements, dependencies, costs, and risks.

Technical
Assessement

Hight-level architecture
Project plan

Our tech stack.

Our team of developers, data scientists and designers provide a comprehensive tech stack.

AI & Data Science

Pytorch

DVC

Mlflow

Amazon
sagemaker

Google auto ml

Vertex AI

Azure AI

Scikit-learn

Tableau

XGboost

Seaborn

Databreaks

Fastapi

Matlotlib

Pandas

Numpy

Tensor flow

Air flow

Flask

Kubernetes

Microsoft power BI

Spark

Docker

R

Ploty

Mobile

Java

Swift

React Native

Flutter

Kotlin

Design

Figma

Photoshop

illustrator

Indesign

XD

React

Angular

Vue

Webflow

Front-end

Node

Python

Rails

Django

Back-end

Amazon web
services

Azure

Google Cloud

Systems