Turn Your Data into
Business Assets

What We Do

We design, develop, test, document, and deploy data driven solutions

01 / Discovery
Strategy

Define Data Strategy

Our data scientists and engineers analyze the state of data stack implementation. We then analyze your technological and business goals and provide an action plan to develop and scale your data infrastructure.

02 / Implementation
Improve data software

Custom Data Software Development

We develop data engineering solutions tailored to your unique business processes and significantly improve them.

03 / Outsourcing
Provide data expertise

Provide Data Expertise

Under our vendor-agnostic policy, we transfer our data management knowledge directly to you. Get full team augmentation and outsourcing services for all of your data projects.

04 / Education
Train data teams

Train Data Teams

We will help you implement robust digital transformation programs for your data teams. Our trainers develop custom education programs and work with your HR teams to define requirements for in-house data expertise.

05 / Infrastructure
Determine data architecture

Determine Data Architecture

Having a stable, scalable and secure data infrastructure is critical to the success of every data project. We provide you guidance on how to achieve the most effective software data stack and hardware/cloud architecture for your business.

Technology Stack

Leverage our seamless data infrastructure and production-ready source code

Apache Spark
Apache NiFi
Apache Kafka
Metabase
Ansible
Kubernetes
Terraform
Rust
Java
C++
Apache Spark
Apache NiFi
Apache Kafka
Metabase
Ansible
Kubernetes
Terraform
Rust
Java
C++
Apache Spark
Apache NiFi
Apache Kafka
Metabase
Ansible
Kubernetes
Terraform
Rust
Java
C++
Apache Spark
Apache NiFi
Apache Kafka
Metabase
Ansible
Kubernetes
Terraform
Rust
Java
C++
JupyterHub
dbt
Apache Airflow
DataHub
GitLab
KeyCloak
FreeIPA
Greenplum
Public cloud
RBDMS
Tensorflow
JupyterHub
dbt
Apache Airflow
DataHub
GitLab
KeyCloak
FreeIPA
Greenplum
Public cloud
RBDMS
Tensorflow
JupyterHub
dbt
Apache Airflow
DataHub
GitLab
KeyCloak
FreeIPA
Greenplum
Public cloud
RBDMS
Tensorflow
JupyterHub
dbt
Apache Airflow
DataHub
GitLab
KeyCloak
FreeIPA
Greenplum
Public cloud
RBDMS
Tensorflow
Torch
Keras
AutoML
MLOps
ONNX
Grafana
ScyllaDB
Neo4j
ClickHouse
Vertica
Aerospike
Torch
Keras
AutoML
MLOps
ONNX
Grafana
ScyllaDB
Neo4j
ClickHouse
Vertica
Aerospike
Torch
Keras
AutoML
MLOps
ONNX
Grafana
ScyllaDB
Neo4j
ClickHouse
Vertica
Aerospike
Torch
Keras
AutoML
MLOps
ONNX
Grafana
ScyllaDB
Neo4j
ClickHouse
Vertica
Aerospike
About us

We help you understand the value of your data, so you can use it optimally to increase your efficiency and productivity.

  • 50+

    Global clients

  • 100+

    Successful data projects

  • 20

    Team members worldwide

Sphere
Cases

Solving Complex Problems across All Industries

  1. Upgrade to a Modern Data Stack
    Modern Data Stack Upgrade

    Reduce Tech Support Response Time by 10x with ChatOps

    We provided our client's technical support team with a single-window chatbot. This allowed the CX team to search for data and screenshots from multiple sources using a single request. Data sources include Hadoop, GlusterFS, InfluxDB, Elasticsearch, and a custom, in-memory graph DB.

    Internet / Telecom
  2. ML Services Migration to a Hybrid Cloud
    ML Services Migration to a Hybrid Cloud

    20% Reduction in Cost of Ownership by Migrating Data Infrastructure from Bare Metal to a Hybrid Cloud

    We helped our client adapt to new compliance regulations following an acquisition, which included on-wire and at-rest encryption and data access management. For this, we migrated their existing data processes from both bare metal and AWS (EKS, S3, VPC) to Azure-based, cloud-native solutions.

    Internet / Telecom
  3. Digital Transformation
    Digital Transformation

    Increased the Speed of Creating Reports by 48x with Unlimited New Real-Time Data Dashboards

    We performed data infrastructure discovery and designed a new, layered Data Lake + Data Mart solution. The client's data team then received new data infrastructure based on CDC, Apache Spark, Hadoop, Clickhouse, and Metabase.

    Altenar | Sports Booking
  4. Migration to a Data Warehouse
    Migrate to a Data Warehouse

    100% Transparent, Secured, and Scalable Data Solution with Real-Time KPI Reports

    We chose the managed Greenplum based on the DataVault 2.0 schema as the basis for the new data warehouse. We built data loading according to the ELT scheme using Apache Airflow, Docker, S3, Greenplum, Clickhouse, Datalens, and Jenkins. This allowed us to set up the solution's architecture and help the client scale their teams and transfer knowledge.

    Marketing Agency
  5. ML System Design
    ML System Design

    Real-Time Search of 1Tb Database with Elasticsearch & Semantic Similarity NLP Engine

    Our B2C patent database search SaaS solution is based on ChatOps and works via Slack. It offers a backend API for integrations and extracts data from the EPO and USPTO databases. The search engine is also based on machine learning and Elasticsearch technologies.

    Patfinder | Legal
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