We help companies build, modernize and extend software products where standard off-the-shelf solutions are not enough. Our core areas include custom SaaS development, AI-powered applications, data engineering and collection, healthcare systems, enterprise integrations and workflow automation.
A strong part of our experience is in data-intensive products. We build and operate web collectors, APIs, ETL pipelines and processing systems for travel, aviation, e-commerce and other industries where external data must be collected, validated, normalized and delivered reliably at scale.
Our work includes proxy rotation, anti-bot handling, monitoring, retry logic and ongoing maintenance as source systems change.
We also build practical AI systems connected to real business processes: RAG assistants, document-processing workflows, internal knowledge tools, AI agents and automation embedded into existing SaaS or enterprise software.
In healthcare, we have experience with laboratory and medical information systems, patient and referral workflows, reporting, digital signatures and integrations using standards such as FHIR and HL7.
Our typical stack includes Python, Node.js, TypeScript, React, Next.js, AWS, Azure and Google Cloud.
Clients work with Integrality either as a complete product engineering team or as a focused extension of their existing organization.
We are especially useful when a company needs experienced engineers to own a defined delivery stream, integration, data platform or technically difficult subsystem while maintaining clear communication, transparency and delivery responsibility.
Our approach is based on ownership, responsive communication and reliable delivery — we treat client products as if they were our own.
We help companies build, modernize and extend software products where standard off-the-shelf solutions are not enough. Our core areas include custom SaaS development, AI-powered applications, data engineering and collection, healthcare systems, enterprise integrations and workflow automation.
A strong part of our experience is in data-intensive products. We build and operate web collectors, APIs, ETL pipelines and processing systems for travel, aviation, e-commerce and other industries where external data must be collected, validated, normalized and delivered reliably at scale.
Our work includes proxy rotation, anti-bot handling, monitoring, retry logic and ongoing maintenance as source systems change.
We also build practical AI systems connected to real business processes: RAG assistants, document-processing workflows, internal knowledge tools, AI agents and automation embedded into existing SaaS or enterprise software.
In healthcare, we have experience with laboratory and medical information systems, patient and referral workflows, reporting, digital signatures and integrations using standards such as FHIR and HL7.
Our typical stack includes Python, Node.js, TypeScript, React, Next.js, AWS, Azure and Google Cloud.
Clients work with Integrality either as a complete product engineering team or as a focused extension of their existing organization.
We are especially useful when a company needs experienced engineers to own a defined delivery stream, integration, data platform or technically difficult subsystem while maintaining clear communication, transparency and delivery responsibility.
Our approach is based on ownership, responsive communication and reliable delivery — we treat client products as if they were our own.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
We start with discovery sessions focused on business goals, users, workflows, constraints and existing systems. Requirements are translated into concrete use cases, acceptance criteria and technical assumptions.
For complex projects, we validate them through prototypes, sample data, API checks or a short technical discovery before committing to the full implementation.
How do you ensure alignment with client goals and business strategy?
We connect technical decisions to measurable business outcomes from the beginning. Priorities are reviewed against the client’s goals, budget, risks and expected ROI.
We avoid building functionality simply because it was originally requested if a simpler or more effective approach can achieve the same objective. Key assumptions and scope changes are discussed openly with the client.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
We primarily use Agile delivery, adapting Scrum or Kanban practices to the project rather than applying a rigid framework.
Work is divided into clear milestones or short iterations with prioritized backlogs, regular reviews and incremental releases.
For integrations and fixed-scope projects, we may combine Agile implementation with a more structured discovery and delivery plan.
How do you keep clients and stakeholders updated on project progress?
Clients have direct visibility into progress through shared task boards, regular written updates, demonstrations and direct communication with the delivery team.
We report completed work, current priorities, blockers, risks and upcoming tasks. Important scope, budget or technical changes are raised early rather than being discovered at the end of a milestone.
How frequently do you hold check-in meetings or status updates?
The cadence depends on the project. Active development projects usually have weekly or biweekly client calls, with asynchronous updates between meetings.
Intensive launches or technically complex integrations may require shorter and more frequent check-ins. We keep meetings practical and use them mainly for decisions, risks, priorities and demonstrations.
What quality assurance practices do you follow?
Quality assurance is built into the development process rather than left until the end.
Depending on the project, we use code reviews, automated and manual testing, API and integration tests, validation against real or representative data, staging environments and regression checks.
Critical data, healthcare and integration workflows receive additional validation before production release.
How do you identify and manage project risks?
We identify risks early during discovery by reviewing technical dependencies, third-party APIs, data quality, security, infrastructure, scope uncertainty and delivery constraints. Each significant risk is documented with its potential impact, probability and mitigation plan.
What kind of support or maintenance do you offer after delivery?
We provide ongoing maintenance, production support and further development after launch.
This can include bug fixing, monitoring, infrastructure support, dependency updates, performance improvements, security-related updates and new features.
For data collectors and external integrations, we also handle changes in source systems, APIs and website structures that may affect production workflows.