Dataforest logo

Dataforest

Dataforest logo

Dataforest

enhanced

0.0 ( reviews)

Dataforest specializes in Data Migration, Integrations, Databases, Conversational AI, Automation and Data Lakes Creation.

126 Employees
Headcount
Estonia, GMT+02:00
Location & Timezone
$60 - $150/hr
Average Hourly Rate

Industries

Lifestyle & Health Services
HealthTech
Energy & Utilities
E-Commerce
Business & Expert Solutions

Tech Domains

Integrations
ERP
Databases
Data Analytics and Visualization
Conversational AI

Skills

Python
PostgreSQL
AWS
Amazon Elasticsearch
AWS Cloud Services

About

DATAFOREST – Product and Data Engineering company. We apply Data Science techniques along with Web Development to build for our clients’ custom data driven products, improve data management, optimize infrastructure. We have over 15 years expertise in business automation, large-scale data analysis and advanced software engineering.

Why us?

At Dataforest, we combine deep data engineering expertise with over 15 years of delivering complex data-centric solutions. Our flexible, result-oriented approach allows us to move fast, adapt quickly, and consistently align with client goals. We maintain a high level of communication, recognizing that 40% of every successful project is clarity, transparency, and shared understanding. To deliver excellence across domains, we’ve built specialized expertise hubs, ensuring every challenge is met with the right knowledge and experience. Our data-driven mindset guarantees that every application we build is powered by structured, reliable, and high-quality data. And with 95% of clients returning with new projects, we focus not just on delivery — but on long-term, trusted partnerships.

CEO Quote

Make sense of your data“

Mission

Our mission is to accelerate growth and amplify data usage. Hence we collect, clean, transform and process data for effective Automation and AI products.

Vision

To become the leading force behind data-driven transformation—empowering companies worldwide to grow faster, operate smarter, and unlock the full potential of Automation and AI through clean, connected, and intelligently orchestrated data.

Values

Flexibility
Cooperation
Result

How we walk the talk

Decision making based on Mission/Vision
Company Wide Newsletters
Team Building activities

What we build

Based on our clients from the last 12 months, here is a breakdown of our top specializations we build for.

Integrations
29%
ERP
21%
Databases
21%
Data Analytics and Visualization
14%
Conversational AI
14%

Other Domains

Enterprise Software
AI & ML Solutions
API
ChatGPT
E-Commerce
Learning Management Systems (LMS)
Marketplaces
SaaS
CRM
Web Apps
IoT & Smart Devices
Banking & Trading Platforms
HR Platforms
Telemedicine
Architecture
Voice Assistants
Booking Systems

Engagement Style & Cost

DATAFOREST – Data Engineering company. We apply Data Science techniques along with Web Development to build for our clients’ custom data driven products, improve data management, optimize infrastructure. We have over 15 years expertise in business automation, large-scale data analysis and advanced software engineering.

Engagement Models

Project work
Team Augmentation
Support and Maintenance
$100K - $150K
Average Budget
15
Average Team Size
$60 - $150/hr
Average Hourly Rate
Ongoing
Avg. Engagement Length
4 weeks
Hiring time
1:3
Woman to man ratio
95% 1st year
Employee retention
93%
Overall retention rate

Who we build for

We specialize in serving clients with Data Engineering and Data Science Services. Our primary focus is on partnering with enterprise corporations, delivering innovative projects tailored to their needs. We have a strong presence in North America (US) and work on projects globally to ensure impactful solutions for our clients.

Lifestyle & Health Services
HealthTech
Energy & Utilities
E-Commerce
Business & Expert Solutions

Markets

Globally
North America (US)
UK & Ireland

Company Type

Enterprise/Corporation
Innovation Hub

Organization

At Dataforest, we have a team-based organizational structure that fosters collaboration and innovation. Our decision-making approach is fact-based, ensuring that we make informed choices for our clients. With a strong emphasis on transparent leadership and problem management always through management channels, we prioritize open communication and accountability. We also have a high internal

Organization type
Team-based Organizational Structure
Decision-making Approach
A fact-based decision making culture
Leadership Transparency
5/5 stars
Problem Management
Problem Management Channels
One-on-One Meetings
Through an open-door policy
Submissions through HR

Growth Trajectory

Promotion Percentage
90.00%
Promotion Decision Maker
CEO
1:1 Performance Topics
Career Development
Challenges Since the Last Meeting
Checking in on General Happiness & Motivation

Culture

Innovative data engineering company focused on collaboration, personal growth, and delivering high-impact solutions. We empower teams to build smarter systems, solve complex data challenges, and accelerate business outcomes through a culture of continuous learning, shared ownership, and technical excellence.

Explore our culture through our images

Company meeting frequency
Monthly
Team Bonding frequency
Weekly
Team Bonding activities
Community service or charitable work
Exercising together
Karaoke Night

Delivery Team

Engineers

60

Avg. seniority

7.0 years

Avg. tenure

5.0 years

QA Specialists

12

Avg. seniority

3.0 years

Avg. tenure

3.0 years

Project Managers

5

Avg. seniority

4.0 years

Avg. tenure

3.0 years

UI/UX Designers

4

Avg. seniority

3.0 years

Avg. tenure

5.0 years

Business Specialists

16

Avg. seniority

4.0 years

Avg. tenure

3.0 years

Talent Snapshot

NameRoleSeniorityAvailabilityTech Stack

Case studies

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