API Development & Integration for Manufacturing
Connect ERP, MES, PLM, machines and suppliers through secure, documented APIs
An API (application programming interface) is a defined contract that lets one system request data or actions from another. API integration connects systems you already have through those contracts. Zenkins is an Ahmedabad-based AI software development company for manufacturing. We design and build the APIs and integration layers that make ERP, MES, PLM, IoT, quality and supplier systems work as one connected environment, and that give AI applications safe access to trusted data.
- What it is: designing and building the interfaces that let systems exchange data and trigger actions, and connecting the systems you already run.
- Why it matters: disconnected ERP, MES, PLM and machine data means re-keying, disagreeing reports and automation that stops at system boundaries.
- What we build: ERP, MES, PLM and supplier integrations, custom REST and GraphQL APIs, gRPC services, API gateways, event-driven integration, legacy adapters and AI-ready APIs.
- How we do it safely: contract-first design, OWASP API Security Top 10, OAuth 2.0, rate limiting, testing and monitoring.
- Where AI fits: permission-aware APIs let copilots and agents read data and trigger approved actions.
Custom Software • AI Engineering • Manufacturing Systems • Cloud & Data
Why Integration is the Real Problem
A manufacturing business typically runs ERP, MES, PLM, quality, maintenance, warehouse and supplier systems that were bought or built at different times. Without integration, people re-key data, reports disagree and automation stops at system boundaries. AI makes this worse if it cannot reach trusted data.
Good integration gives you one flow from order to production to shipment, engineering changes that reach the shop floor, supplier data that arrives without spreadsheets, machine data available to quality and maintenance teams, and a safe interface for AI copilots to read data and, where approved, act.
Zenkins designs APIs and integrations as long-lived products, not one-off scripts: contract first, secured by design, tested, documented and monitored, so they keep working when the systems on either side change.
Order to shipment, connected
No re-keying between systems. Orders, production confirmations, inventory movements and shipments flow between ERP, MES and warehouse systems automatically.
Engineering changes that reach the floor
PLM to ERP to production. Product structures and engineering change orders move between PLM, ERP and production so changes are applied consistently.
Suppliers without spreadsheets
Exchange data digitally. EDI-to-API translation, advance shipping notices and purchase order exchange replace email and spreadsheets.
Safe access for AI
AI that reads trusted data. Permission-aware APIs let copilots and agents retrieve data and trigger approved actions with a full audit trail.
REST vs GraphQL vs gRPC vs SOAP vs WebSocket: Which API Style Is Right for Your Project?
| REST | GraphQL | gRPC | SOAP | WebSocket |
Protocol | HTTP/S | HTTP/S | HTTP/2 | HTTP/S + XML | TCP / WS |
Data format | JSON / XML | JSON | Protocol Buffers | XML | JSON / binary |
Performance | Good | Good | Excellent | High overhead | Excellent |
Flexibility | Good | Excellent | Limited | Limited | Good |
Tooling / ecosystem | Widest | Wide | Growing | Narrowest | Good |
Learning curve | Simple | Moderate | Moderate | Complex | Simple |
Real-time support | No | Partial | Yes (streaming) | No | Yes |
Type safety | No (by default) | Yes (schema) | Yes (proto) | Yes (WSDL) | No |
Best for | Public APIs, web, mobile | Flexible client data needs | Microservices, IoT | Legacy enterprise, SOAP-required | Real-time, live data, chat |
When Zenkins recommends REST
When Zenkins recommends GraphQL
When Zenkins recommends gRPC
When Zenkins recommends WebSocket
Integration Patterns: Connecting Your Systems the Right Way
Pattern | How it works | Latency | Best for |
Direct API call | System A calls System B’s REST or GraphQL endpoint synchronously | Low | Real-time reads, transactional ops |
Webhook | System B pushes events to System A’s endpoint on state change | Near real-time | Event-driven, third-party notifications |
Message queue | Systems communicate via a broker (Kafka, RabbitMQ, SQS) asynchronously | Decoupled | High-volume, fault-tolerant processing |
Event streaming | Continuous event log consumers pull events as they occur (Kafka) | Very low | Real-time analytics, audit trails |
ETL / batch | Scheduled jobs extract, transform, load data between systems | Scheduled | Data warehouse sync, reporting |
iPaaS middleware | Platform (MuleSoft, Boomi, Azure Logic Apps) orchestrates flows | Medium | Enterprise system integration, no-code |
File-based (SFTP/EDI) | Systems exchange structured files on a schedule | Batch | Legacy B2B, supply chain, banking |
Many complex integration projects use multiple patterns simultaneously — for example, a real-time API call for customer-facing operations, a message queue for order processing, and a nightly ETL for reporting. Zenkins designs the integration architecture based on your specific latency, reliability, and volume requirements.
Our API Development & Integration Services
Zenkins delivers the full spectrum of API work — from greenfield API design and development to integration of existing systems with third-party platforms, legacy middleware, and event-driven architectures.
ERP integration
Orders, materials and confirmations, in sync. Integrations with SAP (including S/4HANA and ECC through OData, RFC/BAPI and IDoc), Oracle, Microsoft Dynamics and other ERPs: orders, materials, production confirmations, goods movements and finance postings.
Examples: SAP integration • Oracle ERP • Dynamics integration
MES and shop-floor integration
Machines and plant systems connected to the enterprise. Connect MES, SCADA, historians and machine data with plant and enterprise systems using OPC UA, MQTT, database interfaces and APIs. See IoT Software Development and the MES solution.
Examples: OPC UA bridges • SCADA data APIs • Historian access
PLM and engineering integration
Engineering data to production. Move product structures, engineering change orders and documents between PLM, ERP and production. See PLM.
Examples: BOM sync • ECO flow • Document exchange
Supplier and customer integration
EDI and API exchange. EDI-to-API translation, supplier portals, advance shipping notices, purchase order exchange and quality documents.
Examples: EDI translation • ASN • Supplier portals
Custom REST and GraphQL API development
Contract-first, documented APIs. OpenAPI specifications, correct HTTP semantics, pagination, versioning and documentation that lets partners integrate without calling support.
Examples: Partner APIs • Mobile backends • Dashboard APIs
gRPC and microservices APIs
Fast service-to-service links. Internal communication for modern platforms, with load balancing, health checks and circuit breakers. See Cloud-Native Application Development.
Examples: Internal services • Streaming • Platform APIs
Real-time and WebSocket APIs
Live data to screens. Live dashboards, operator screens and alerts that update as data arrives.
Examples: Live dashboards • Alert feeds • Operator screens
API gateway implementation
One front door with policy. Central authentication, rate limiting, routing, caching and analytics on Kong, Azure API Management, AWS API Gateway or similar.
Examples: Auth and quotas • Routing • Analytics
Event-driven integration
Reliable asynchronous flows. Kafka, RabbitMQ, AWS SQS and SNS or Azure Service Bus implementations with schema design, idempotency, dead-letter handling and replay.
Examples: Event streaming • Queues • Dead-letter handling
Legacy system integration
Use old systems from new applications. Adapter layers for mainframe, SOAP, file-based and proprietary databases so modern applications can use old systems without rewriting them. See Application Modernization.
Examples: SOAP wrappers • File adapters • Database APIs
API access for AI applications
Safe, permission-aware access. APIs that let copilots and agents read data and trigger approved actions, with audit logs.
Examples: Read-only AI endpoints • Approval-gated actions • Audit logging
API Security Standards We Build To
Security control | What it does | Zenkins standard |
TLS / HTTPS enforcement | Encrypts all data in transit; rejects plain HTTP connections | Required on all APIs |
OAuth 2.0 + OpenID Connect | Delegated authorisation with scoped access tokens; OIDC adds identity layer | Standard for user-facing APIs |
API key + HMAC signing | Machine-to-machine auth; HMAC signs request payload to prevent tampering | Standard for service-to-service |
JWT (JSON Web Token) | Stateless tokens carrying claims; verified without database round-trip | Standard — short expiry + refresh |
Rate limiting | Prevents abuse, DDoS, and scraping by capping requests per key/IP per window | Required — per-key + per-IP |
Input validation & sanitisation | Prevents injection attacks (SQL, NoSQL, command) at the API boundary | Required — schema validation |
OWASP API Security Top 10 | Covers broken auth, excessive data exposure, mass assignment, SSRF, and more | Audited on every API |
API gateway | Centralised auth, rate limiting, logging, and routing; Kong, AWS API GW, Azure APIM | Recommended for all production APIs |
Secrets management | API keys, tokens, and credentials stored in vault (AWS Secrets Manager, HashiCorp) | Required — no secrets in code |
All production APIs undergo OWASP ZAP automated security scanning and manual penetration testing before launch. For APIs handling financial data, health information, or personal data, we provide a security test report as a project deliverable and design the API to support SOC 2, HIPAA, GDPR, or PCI DSS compliance requirements as applicable.
Ready to Connect Your Systems with Powerful APIs?
Leverage API development & integration services to build secure, scalable, and high-performance integrations that streamline workflows and improve data flow across your business systems.
Our API Development & Integration Process
API discovery & scoping
API contract design
Security architecture
Development
Third-party integration
API testing
API documentation
Deployment & API gateway
Monitoring & versioning
Technology & Engineering
API frameworks
API styles
RESTful APIs, GraphQL (Apollo Server, Strawberry), gRPC (Protocol Buffers), WebSocket APIs, SOAP / WSDL, AsyncAPI (event-driven)
API gateway
AWS API Gateway, Azure API Management, Kong Gateway, Apigee, NGINX — centralised auth, rate limiting, routing, caching
Authentication
OAuth 2.0, OpenID Connect, JWT, API keys + HMAC, mTLS, SAML 2.0, AWS Cognito, Auth0, Okta, Azure AD
Message brokers
Apache Kafka, RabbitMQ, AWS SQS / SNS, Azure Service Bus, Google Pub/Sub — event-driven integration
Integration middleware
MuleSoft Anypoint, Azure Logic Apps, AWS Step Functions, Dell Boomi, custom middleware for legacy system bridging
API testing
Postman, Newman (CI/CD collection runner), REST Assured, Karate, k6 (load testing), Pact (consumer-driven contract testing)
API documentation
OpenAPI 3.x / Swagger UI, AsyncAPI, GraphQL Playground, Redoc, Stoplight — auto-generated and manually curated
Observability
Distributed tracing (Jaeger, Zipkin, AWS X-Ray), API analytics (Datadog, Grafana + Prometheus), structured logging (ELK Stack)
Data formats
JSON, Protocol Buffers (protobuf), XML, Avro, MessagePack, CSV / SFTP for legacy batch integrations
Cloud SDKs
AWS SDK, Azure SDK, Google Cloud SDK — for integrating with cloud-native services, object storage, AI services, and managed databases
CI/CD for APIs
GitHub Actions, GitLab CI, Docker, Kubernetes (API deployments), Terraform (API Gateway as IaC), blue/green API versioning strategies
API integration across manufacturing industries
Each sector connects a different set of systems and exchanges different documents.
Automotive & Mobility
OEM and tier supplier connections. OEM and tier-supplier EDI, quality and warranty data exchange and ERP to MES order flow.
Examples: Supplier EDI • Warranty data • Order flow
Semiconductor & Electronics
Equipment and test data flows. Equipment data to MES, lot genealogy and test data to analytics.
Examples: Equipment to MES • Lot genealogy • Test data feeds
Industrial Equipment & Machinery
Connected equipment and service. Connected-equipment data APIs and service and spare-parts integration.
Examples: Equipment APIs • Service integration • Spare parts
Electrical & Energy Equipment
Project, order and test data. Order and project data between ERP and PLM and test-bench data capture.
Examples: ERP to PLM • Test-bench data • Project data
Chemicals & Process Manufacturing
Historian and lab integration. Historian and LIMS integration and batch and compliance data exchange.
Examples: Historian APIs • LIMS integration • Batch data
Pharmaceuticals & Life Sciences
Controlled data flows. QMS, MES and ERP integration with audit trails and controlled data flows.
Examples: QMS integration • Audit trails • Controlled exchange
Consumer & Industrial Products
Warehouse and distributor links. WMS, retailer and distributor integration and inventory sync.
Examples: WMS integration • Distributor feeds • Inventory sync
New Energy & Advanced Manufacturing
Fast-changing line data. Line and test data integration for fast-changing process definitions.
Examples: Line data integration • Test data • Flexible schemas
Why Choose Zenkins for API Development & Integration?
Integrations break when systems change. We build them to absorb change.
Contract-first
The API specification is written and agreed before the code.
Why it matters: Consumers know what to expect.
Security is not an add-on
OWASP-based design, scanning and testing are standard.
Why it matters: Exposed APIs are a common attack path.
Integration depth
Retries, circuit breakers, dead-letter queues and schema validation, not just the happy path.
Why it matters: Failures are handled, not hidden.
Documentation that works
Examples, error references and changelogs that let partners self-serve.
Why it matters: Fewer support calls.
Observable
Tracing, analytics and alerting from day one.
Why it matters: Problems are found before users report them.
Connected to AI and data
The same team builds data pipelines and AI applications that use these APIs.
Why it matters: One accountable partner.
Ready to Build or Integrate Your APIs?
Whether you are designing a new API from scratch, integrating your product with third-party platforms, connecting internal systems that do not speak to each other, or modernising a legacy integration that was built years ago and now regularly breaks in production — Zenkins has the API engineering expertise to deliver it correctly.
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API development and integration: frequently asked questions
What is API development?
It is designing, building, testing and deploying the interfaces that let systems communicate, along with the server-side logic behind them.
What is API integration?
It is connecting existing systems, such as ERP, MES, PLM, CRM or third-party platforms, through their APIs, including authentication, data mapping, error handling and ongoing maintenance.
Can you integrate SAP with MES and other systems?
Yes. We integrate SAP and other ERPs with MES, PLM, quality, warehouse and supplier systems using the interfaces each platform supports and a middleware or gateway layer where needed.
How do you connect to machines with no modern API?
Through industrial protocols such as OPC UA or Modbus and gateway software that exposes the data as APIs or messages, without changing the machine.
REST, GraphQL or gRPC?
REST is the default for most business integration. GraphQL suits front ends with varied data needs. gRPC suits high-throughput internal services. We choose per use case.
What is an API gateway and do we need one?
A gateway sits in front of APIs to handle authentication, rate limiting, routing, caching and analytics. Use one if several consumers or external partners use your APIs.
How do you handle API versioning?
We use explicit versions, announce deprecations well in advance, run versions side by side during transitions and monitor consumer adoption.
How do you secure APIs?
OWASP API Security Top 10 design, TLS, OAuth 2.0 with scoped tokens, rate limiting, input validation, secrets management, gateway policies and pre-launch testing.
Can AI applications use these APIs?
Yes. We build permission-aware APIs so copilots and agents can read data and trigger approved actions with audit logs. See AI-Powered Software Development.
How much does API development cost?
It depends on endpoints, logic complexity, integrations, security and documentation scope. We scope after discovery.
Do you provide support after launch?
Yes: upstream version upgrades, security patches, monitoring response and documentation updates.


