Member · Claude Partner Network

We build AI-native software, engineered to ship and scale.

An Estonian software studio powered by senior Ukrainian engineers — we design, build, and support SaaS, AI, and data platforms for startups, scale-ups, and enterprises worldwide.

Click “I want…” to explore what we build

50+ products delivered for teams in SaaS, MedTech, FinTech, e-commerce & data
Import.io Netguru Air Greenland Bella Health Signum TOKA Smart PowerBI Import.io Netguru Air Greenland Bella Health Signum TOKA Smart PowerBI
50+
Products delivered worldwide
Senior
Engineer-only delivery team
EU
Estonia-registered company
EN
English-speaking, time-zone friendly
01

What we do

Custom software for complex business needs — from first architecture to long-term support.

FEATURED

AI Solutions for Business

LLM-powered tools, RAG systems, AI assistants, and industry-specific automation — built on a real understanding of your workflow, not a demo.

Custom SaaS Applications

Scalable platforms for startups and established businesses entering global markets.

Data Collection & Integration

Web scraping, ETL pipelines, API integrations, and custom data infrastructure that holds up at scale.

Healthcare & MedTech

HIPAA- and GDPR-conscious platforms, medical data systems, and digital tools for clinics, labs, and MedTech.

Enterprise Software

CRM, ERP, internal systems, process automation, and digital transformation that integrates with what you already run.

Support & Scaling

We stay involved after launch — improvements, reliability, and growth, not a hand-off and goodbye.

02 — AI ENGINEERING

AI that earns its place in production.

We're a member of the Claude Partner Network and build with Anthropic's Claude alongside the wider LLM ecosystem — shipping AI features real users rely on, not proofs of concept that stall.

RAG & retrieval systems over your own data
AI assistants & agents wired into your workflows
LLM-powered automation & document processing
Evaluation, guardrails & cost control for going live
C Claude Partner NetworkMember · Registered

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03

Selected work

A few of the products we've engineered for clients across data, health, fintech, and energy.

Data Engineering

Import.io

Large-scale e-commerce data parsing across marketplaces like Amazon and eBay, built on custom Node.js parsers.

Node.jsJSScraping
Software Development

Netguru client

Server-side rendering for thousands of product-page variations to boost SEO, plus auth with GraphQL.

Nest.jsRabbitMQPostgreSQLAzure
MedTech

Bella Health

COVID-19 prevention toolkit with video calls for airports and hotels — layered defenses in one platform.

WebVideoHealthcare
FinTech / Security

Signum

Secure e-signature service for signing and approving contracts, tax documents, bank and insurance forms online.

SaaSe-SignatureSecurity
04

Why companies choose us

Offshore development too often means communication gaps and inconsistent quality. We were built to be the opposite.

01 / COMMUNICATION

An English-speaking team

Clear, direct project communication and transparent processes — you always know where things stand.

02 / TALENT

Senior Ukrainian engineering

Strong technical delivery from engineers who've shipped real products, not a junior bench billed as senior.

03 / STANDARDS

Estonian business standards

EU-registered, contract-clean, and accountable — engineering quality with grown-up business practices.

04 / FOCUS

Business-first, not code-first

We solve the real problem behind the project, then build software that works, scales, and supports growth.

05

How we work

Every product starts with understanding — deep discovery and clear planning before a line of code.

01

Understand

We learn your goals, users, and workflows.

02

Design

The right architecture for the real problem.

03

Build

Iterative delivery, quality at every step.

04

Launch

A smooth, low-drama path to production.

05

Support

We stay for long-term growth and stability.

06

Our stack

Modern, proven technologies across engineering, AI, data, and cloud.

ReactNext.jsNode.jsPython Claude / AnthropicLLMs & LangChainRAGVector DBsTensorFlow ETL pipelinesWeb scrapingGraphQL AWSGoogle CloudAzureDockerServerless
07

Trusted by data & product teams

Companies we've worked with across web data, AI, and software.

Residential proxies

“Integrality delivered a solid, well-engineered data-collection solution for us.”

NN
NetNut
Web data platform

“A dependable engineering partner on our web-data work — clear communication and quality output.”

BD
Bright Data
Web data extraction

“Integrality built reliable parsers for our large-scale e-commerce data collection — strong engineering and easy to work with.”

IO
Import.io
Software consultancy

“They delivered server-side rendering across thousands of product pages and clean GraphQL auth — senior-level work, on time.”

NG
Netguru
AI · venture data

“Integrality helped us ship AI features in Python for MeetingMap — pragmatic, fast, and a real understanding of the product.”

AB
AgBlox · MeetingMap
08

Open roles

We hire senior engineers for our client teams. One role is open right now.

Senior Data Engineer

Data platform, infrastructure & ML enablement · for a Canadian SaaS client
Apply
SaaS / Data-driven Open globally English B2–C1 US-aligned timezone Full-time ~40h/wk 6 months (extension)
Important: Candidates must work during US business hours. Part-time candidates, or those without strong US timezone overlap, will not be considered.
View full description

Company overview

The client is a Canadian SaaS company focused on landing-page optimization and CRM solutions, moving toward an AI-first product and engineering model — investing in data platforms, ML infrastructure, and agentic AI. We're looking for a Senior Data Engineer to support data engineering, warehousing, and ML enablement across data modeling, ETL, cloud infrastructure, and scalable data solutions.

Key responsibilities

Platform solutions & data infrastructure

Design and implement data-platform solutions, including:

  • Infrastructure for model training, data collection, categorization, and evaluation
  • Self-serve ML prototyping, deployment, and evaluation
  • Data discovery for technical and non-technical teams
  • Secure, performant APIs with granular access controls
  • Data observability, governance, and lineage
  • Streaming architecture with Kafka or similar tools
  • Batch / orchestrated architecture with Airflow or similar tools
Collaboration & leadership
  • Work with Data Analytics, Data Science, ML, and Engineering teams
  • Define requirements and deliver customer-facing data solutions
  • Create and review architecture and solution designs
  • Improve warehouse and event-stream infrastructure
  • Share data and platform best practices

Qualifications

Experience
  • 4+ years in Data Engineering and/or Machine Learning
  • A Software Engineering background may be considered with strong data experience or interest
  • Experience building production-ready ML / data infrastructure
  • Experience supporting ML / Data Science teams
Technical skills
  • Secure API design for ML models and data capabilities
  • ML tools such as SageMaker and/or OpenAI
  • Kafka or similar streaming tools
  • Airflow or similar orchestration tools
  • SQL, NoSQL, Graph, or other databases
  • Major cloud platforms; AWS is a strong bonus
  • Docker, Kubernetes, or similar
  • Terraform, CloudFormation, or similar IaC tools
  • Observability and monitoring
Soft skills
  • Ownership from idea to production
  • Practical, scalable platform thinking
  • Team-oriented mindset
  • Proactive approach to improvements and documentation

Submission requirements

  • A short 2–3 minute video introduction covering relevant experience
  • An answer to the pre-screening question: "Walk me through a data pipeline or ML infrastructure solution you built end-to-end. What problem did it solve, what tools did you choose, and how did you support it once it reached production?"
09 — START A PROJECT

Let's build something exceptional.

Use the map above, or tell us directly — we'll turn the problem into reliable software.