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API development and integration services

API development and integration services to establish reliable data exchange between internal systems, customer-facing platforms, and third-party tools. Our teams prepare your data, bridge legacy and modern systems, build APIs and integration layers that reduce manual work, improve operational visibility, and keep business processes stable as systems, data volumes, and integration needs grow.

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API development and integration services

Business systems still disconnected? Data inconsistent and getting lost on the way? Custom API development and integration services help connect operations, systems, and data

Disconnected systems are costly even in small operations: orders are copied by hand, stock levels differ across platforms, reports do not match, and teams wait for updates from each other. All of these are wasted resources. API development and integration services help remove these gaps so business processes can run with fewer errors, faster updates, and less dependence on manual coordination.

  • Data consistency across departments

    • Keeps sales, finance, operations, support, and management teams working with the same data

    • Reduces mismatched records between CRM, ERP, ecommerce, warehouse, and accounting systems

    • Helps managers make decisions based on current business activity, not manually updated reports

  • Manual workload reduction

    • Reduces repeated data entry between business tools, internal systems, and external platforms

    • Helps teams avoid copying orders, customer details, payment statuses, or inventory updates by hand

    • Frees specialists from routine checks so they can focus on work that needs human decision-making

  • Connected orders, payments, and inventory

    • Helps orders from websites, marketplaces, or portals move automatically into ERP or CRM systems

    • Keeps inventory, order statuses, customer records, and payment updates aligned across connected platforms

    • Supports business processes that depend on several systems working together without manual coordination

  • Legacy system value

    • Connects older internal systems with newer software without forcing a full replacement

    • Uses APIs, adapters, or connectors when legacy systems cannot exchange data directly

    • Helps transform legacy data into formats that newer systems, platforms, or services can process

  • Access control and data protection

    • Controls which users, systems, and external services can access specific data

    • Protects sensitive information through authentication, authorization, validation, and encryption rules

    • Reduces risks when internal systems exchange data with third-party tools or regulated environments

  • Foundation for automation and AI

    • Gives automation tools and AI systems structured access to reliable business data

    • Reduces the risk of AI tools working with outdated, incomplete, or disconnected information

    • Creates a stronger technical base for reporting, forecasting, workflow automation, and future AI use cases

  • Growth without manual bottlenecks

    • Helps the company process more orders, users, transactions, or internal requests without proportional manual work

    • Makes it easier to add new tools, services, or platforms as the business grows

    • Reduces dependence on people who know how disconnected processes work manually

  • Data infrastructure audit

    • Helps identify where business data is stored, duplicated, delayed, or lost across existing systems

    • Shows which integrations, data flows, or manual steps create operational gaps and reporting issues

    • Gives teams a clearer starting point before automation, analytics, AI, or system modernization begins

Need a Single Source of Truth across your systems?

KPS will define the right API strategy, identify integration priorities, and estimate the scope of work so your systems can support daily operations without unnecessary complexity.

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Services our API development & integration services company provides

Our team reviews how data is blocked, duplicated, transformed, or manually moved across the current infrastructure, then builds APIs, connectors, or integration layers that make these flows more secure, stable, and easier to extend.

01

API strategy and integration planning

Solution architects and business analysts review how data moves between your systems today, where manual work appears, and which workflows depend on several tools working together. This helps define integration priorities, avoid unnecessary development, and align API work with real operational needs.

02

Custom API development

Backend engineers develop custom APIs for software applications that need controlled data exchange, specific business logic, or secure access to internal functionality. These APIs are designed around your workflows, user roles, data formats, access rules, error handling, and long-term maintenance needs.

03

Web and mobile API development

Backend, web, and mobile engineers build APIs that connect customer-facing interfaces with backend systems and internal tools. This helps web apps, mobile apps, and portals display current operational data, process user requests, and avoid disconnected product experiences.

04

Third-party API integration

Integration specialists connect your software with external services such as payment gateways, CRM systems, accounting tools, marketplaces, delivery services, cloud platforms, or communication tools. When third-party documentation is outdated or incomplete, our team validates API behavior, checks integration requirements, and communicates with vendors when needed.

05

Legacy system integration

Technical teams connect legacy software with newer applications, cloud platforms, web portals, or mobile apps. When older systems cannot exchange data directly, KPS can build adapters or connectors that transform legacy data into formats newer systems can process.

06

Data mapping and synchronization

Backend engineers define how data should be matched, transformed, validated, and synchronized across several systems. This helps reduce duplicates, prevent conflicting records, and support workflows where some services update data in real time while others use scheduled synchronization.

07

API security and access control

Backend and security specialists define authentication, authorization, data validation, encryption, and access rules for API usage. This helps control which users, systems, or external services can access sensitive data and reduces risks across connected environments.

08

API testing and validation

QA engineers test API requests, data flows, error handling, input validation, synchronization logic, and system behavior under expected usage conditions. This helps identify integration issues before release and ensures that a single failed request does not break the entire business process.

09

API documentation and management

Technical specialists prepare API documentation and management rules for internal teams, partners, or future developers. This helps keep API usage clear, supports version changes, and makes future integrations easier to maintain.

10

API maintenance and ongoing support

Support and engineering teams monitor API behavior, investigate integration issues, and update APIs when systems, workflows, traffic volumes, or external services change. This helps keep connected software stable after release and reduces the risk of broken processes during future changes.

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Technology stack for website development and API integration services

KPS chooses API technologies based on production requirements, not generic preferences. The stack should help systems exchange accurate data, support real-time updates where needed, protect access, and remain reliable under growing load.

  • API architecture and communication

    API styles: REST, GraphQL, SOAP, gRPC
    Real-time communication: WebSockets, webhooks, Server-Sent Events
    Data exchange formats: JSON, XML, Protocol Buffers

  • Backend development

    Languages and runtimes: Node.js, Java, .NET, Python, Go
    Frameworks: NestJS, Express.js, Spring Boot, ASP.NET Core, Django, FastAPI
    Backend architecture: microservices, modular monoliths, event-driven architectures

  • API gateways and management

    API gateways: AWS API Gateway, Azure API Management, Google Cloud API Gateway, Kong, Apigee
    Management practices: routing, rate limiting, throttling, quotas, API keys
    Lifecycle support: API versioning, developer portals, usage policies

  • Databases and data synchronization

    Relational databases: PostgreSQL, MySQL, Microsoft SQL Server, Oracle
    NoSQL and in-memory stores: MongoDB, Redis, Elasticsearch, DynamoDB
    Data practices: data mapping, transformation rules, validation, conflict resolution, synchronization rules, schema migrations

  • Cloud infrastructure and DevOps

    Cloud platforms: AWS, Google Cloud Platform, Microsoft Azure
    Containerization and orchestration: Docker, Kubernetes, Helm
    CI/CD and automation: GitHub Actions, GitLab CI, Jenkins, Azure DevOps

  • Security and access control

    Authentication and authorization: OAuth 2.0, OpenID Connect, JWT, SAML, role-based access control
    Data protection: TLS, data encryption at rest, data encryption in transit
    Security practices: input validation, access policies, secret management, audit logging

  • Testing and quality assurance

    API testing tools: Postman, Swagger, Insomnia, REST Assured
    Automated testing: Jest, JUnit, PyTest, NUnit
    Quality practices: contract testing, integration testing, load testing, regression testing

  • Monitoring and observability

    Monitoring and logging: Prometheus, Grafana, ELK Stack, Datadog
    Error tracking and diagnostics: Sentry, New Relic
    API performance tracking: latency monitoring, request tracing, uptime checks

  • Third-party and integration services

    Payment providers: Stripe, PayPal, Braintree
    Identity providers: Auth0, Okta, Firebase Authentication
    Business systems: CRM systems, ERP systems, accounting software, inventory management systems

Working formats offered by our custom API integration development company

API development and integration can be structured in different ways depending on ownership, technical control, and delivery responsibility. KPS offers three main engagement models:

Dedicated API development team

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  • Fully allocated API team

  • Long-term integration support

  • Deep product knowledge

Team extension

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  • API developers join your team

  • Backend and integration gaps

  • Under your technical leadership

Managed API development

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  • Defined API delivery scope

  • Agreed milestones and responsibilities

  • Specific integrations or phases

How KPS structures API development and integration for your systems

We structure the process to reduce integration risks early and make sure each API connection supports real business operations and real-time data exchange after launch.

STEP 1:

Understanding systems, workflows, and constraints

Product stakeholders, domain experts, solution architects, and tech leads review existing software, business workflows, data flows, manual steps, system limitations, and integration goals. This step helps clarify where data is created, where it needs to move, which teams use it, and what business outcome each API connection should support.

STEP 2:

Integration architecture and data flow planning

Once the context is clear, solution architects and senior engineers define how systems should exchange data. This includes API structure, integration boundaries, data mapping, synchronization logic, real-time or batch exchange decisions, business rules, system limitations, and priority workflows. If direct integration is not possible, the team defines whether adapters, connectors, middleware, or data transformation logic will be needed.

STEP 3:

Security, access, and error-handling definition

Before development starts, backend engineers and security specialists define how data should be protected and who can access it. This step covers authentication, authorization, token usage, API keys, encryption, role-based access, input validation, and data protection rules. The team also defines error-handling logic, fallback behavior, and failure scenarios so one broken service does not stop the full business process.

STEP 4:

API, adapter, or connector development

KPS backend engineers develop API logic, configure integration points, and build adapters or connectors when systems cannot communicate directly. This is especially important for legacy systems, different data formats, incomplete third-party documentation, or business tools that require additional data preparation before information can move correctly. Development is carried out in controlled stages so technical and business stakeholders can review progress and validate expected behavior.

STEP 5:

Quality assurance, validation, and risk control

QA engineers and backend developers test API requests, data flows, access rules, synchronization logic, edge cases, failed requests, and integration behavior. Testing helps confirm that systems exchange data correctly and that errors are handled without breaking the entire workflow. Business stakeholders can also validate whether connected systems support the intended operational scenarios before release.

STEP 6:

Deployment, monitoring, and release management

Once the integration meets quality and acceptance criteria, DevOps engineers and backend specialists prepare environments, coordinate deployment, and manage release procedures. The team sets up logs, monitoring, alerts, diagnostics, and performance tracking to make API behavior visible after launch. When needed, the team also checks how integrations behave under expected and growing data volumes.

STEP 7:

Post-launch support and continuous improvement

API work does not stop after release. Once integrations are live, our support team continues to monitor behavior, investigate issues, update documentation, and adjust APIs when workflows, traffic, external services, or internal systems change. This helps your company add new services, tools, or integrations later without rebuilding the whole solution from scratch.

STEP 1:

Understanding systems, workflows, and constraints

Product stakeholders, domain experts, solution architects, and tech leads review existing software, business workflows, data flows, manual steps, system limitations, and integration goals. This step helps clarify where data is created, where it needs to move, which teams use it, and what business outcome each API connection should support.

STEP 2:

Integration architecture and data flow planning

Once the context is clear, solution architects and senior engineers define how systems should exchange data. This includes API structure, integration boundaries, data mapping, synchronization logic, real-time or batch exchange decisions, business rules, system limitations, and priority workflows. If direct integration is not possible, the team defines whether adapters, connectors, middleware, or data transformation logic will be needed.

STEP 3:

Security, access, and error-handling definition

Before development starts, backend engineers and security specialists define how data should be protected and who can access it. This step covers authentication, authorization, token usage, API keys, encryption, role-based access, input validation, and data protection rules. The team also defines error-handling logic, fallback behavior, and failure scenarios so one broken service does not stop the full business process.

STEP 4:

API, adapter, or connector development

KPS backend engineers develop API logic, configure integration points, and build adapters or connectors when systems cannot communicate directly. This is especially important for legacy systems, different data formats, incomplete third-party documentation, or business tools that require additional data preparation before information can move correctly. Development is carried out in controlled stages so technical and business stakeholders can review progress and validate expected behavior.

STEP 5:

Quality assurance, validation, and risk control

QA engineers and backend developers test API requests, data flows, access rules, synchronization logic, edge cases, failed requests, and integration behavior. Testing helps confirm that systems exchange data correctly and that errors are handled without breaking the entire workflow. Business stakeholders can also validate whether connected systems support the intended operational scenarios before release.

STEP 6:

Deployment, monitoring, and release management

Once the integration meets quality and acceptance criteria, DevOps engineers and backend specialists prepare environments, coordinate deployment, and manage release procedures. The team sets up logs, monitoring, alerts, diagnostics, and performance tracking to make API behavior visible after launch. When needed, the team also checks how integrations behave under expected and growing data volumes.

STEP 7:

Post-launch support and continuous improvement

API work does not stop after release. Once integrations are live, our support team continues to monitor behavior, investigate issues, update documentation, and adjust APIs when workflows, traffic, external services, or internal systems change. This helps your company add new services, tools, or integrations later without rebuilding the whole solution from scratch.

Want to know who you’ll work with?

Contact our client support team, which will provide you with a technical evaluation of your needs and give you details on the collaboration resources you will need.

Anton Trakht
LinkedIn

Anton Trakht

CEO at Kultprosvet

Mykola Aleksandrov
LinkedIn

Mykola Aleksandrov

Account Executive

We are ready to review your requirements and propose a practical next step.
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Need additional information about API development and integration services?

How can API integration help our existing systems work with third-party tools without introducing security or scalability issues?

How do I know if your API services are secure enough for our business systems?

Which API type should we choose for our system: REST, SOAP, or GraphQL?

Can custom APIs help us improve customer experience and create new business value from our data?

How do we choose the right provider for custom API development, and what should we check before starting?