API Development & System Integration Services

Production-grade APIs, enterprise integration architecture, and event-driven connectivity — the layer that connects every application, data platform, and AI system across your enterprise into a coherent, governed whole.

Disconnected systems are not a technology problem. They are a business problem — in the form of manual re-entry, delayed decisions, and AI that cannot access the data it needs.

Most enterprises run 50–200 different software systems. Without integration architecture, data moves between them by hand — slowly, inconsistently, and error-prone.

Manual re-entry and error

Staff re-keying data between EHR, billing, and CRM systems — introducing errors, wasting time, and creating audit trail gaps.

AI blocked at the boundary

AI systems cannot access data locked in systems with no API. Integration is the prerequisite for every AI and analytics initiative.

Point-to-point spaghetti

Dozens of direct system-to-system connections, each built differently, undocumented, and one system change away from breaking silently.

Well-designed integration architecture solves all three — and pays for itself through the AI and automation it unlocks.

API design, enterprise integration architecture, and AI connectivity — built to production governance standards.

API Design & Development

APIs engineered as products — versioned, governed, and built to last

An API is a contract between systems. When it is designed poorly, every system that depends on it carries the technical debt of that decision for years. We design and build APIs with the same engineering discipline as production applications — with versioning, authentication, rate limiting, documentation, and testing standards that make them reliable interfaces for internal teams, partners, and AI systems.

RESTful API design — resource-oriented API architecture with OpenAPI 3.0 specifications, consistent error handling, and hypermedia controls
GraphQL API development — flexible query APIs for complex data models, federated GraphQL for microservices, and subscription support for real-time data
gRPC and async API development — high-performance internal service communication and event-driven API design using AsyncAPI specification
API versioning and lifecycle management — backward-compatible versioning strategies, deprecation workflows, and consumer communication protocols
API security engineering — OAuth 2.0, OpenID Connect, JWT, mTLS, API key management, rate limiting, and input validation at every endpoint
API documentation and developer experience — OpenAPI-generated interactive documentation, SDK generation, and onboarding guides for internal and external consumers

Enterprise Integration Architecture

Replacing point-to-point spaghetti with governed integration fabric

Enterprise integration is not connecting two systems. It is designing the connective architecture that allows every system in the enterprise to exchange data reliably, with appropriate governance, in a way that does not create brittle dependencies. We design and implement enterprise integration architectures that are maintainable, monitorable, and extensible as the enterprise landscape evolves.

Enterprise Service Bus (ESB) and iPaaS — MuleSoft, Azure Integration Services, AWS EventBridge, and Dell Boomi for centralised integration governance
ERP integration patterns — Dynamics 365, SAP, Oracle, and Sage integrations with EHR, CRM, WMS, and custom applications via standardised connectors
Healthcare interoperability — HL7 FHIR, SMART on FHIR, X12 EDI, and CDA integration between EHR, billing, payer, and analytics systems
Event-driven integration — Kafka, Azure Service Bus, and AWS SNS/SQS architectures that decouple systems and enable real-time event propagation
API gateway and management — Kong, Azure APIM, AWS API Gateway, and Apigee for centralised API traffic management, security, and observability
Integration monitoring and governance — centralised visibility into integration health, message volumes, error rates, and SLA compliance across the estate

AI & Data System Connectivity

The integration layer that makes AI systems operational

AI systems require a different kind of integration — real-time data access, bidirectional tool calling, event-triggered agent activation, and structured output delivery back into operational systems. We design the integration architecture that connects AI models, agents, and analytics platforms to the enterprise systems they need to read from and write to in production.

AI tool integrations — structured API connectors that give LLMs and AI agents the ability to read records, update systems, and trigger workflows in EHR, ERP, and CRM
Real-time data feeds for AI — change data capture (CDC), webhooks, and streaming integrations that give AI models and agents current data at inference time
Bidirectional EHR integration — FHIR-compliant read and write operations enabling AI-generated clinical documentation, coding suggestions, and care alerts to be written back to EHR
Payer API connectivity — eligibility verification, prior auth submission, claims status, and ERA retrieval integrations with major payer portals and clearinghouses
Analytics and AI pipeline connectors — structured data extracts, event streams, and API feeds from operational systems into data platforms and ML feature stores
Webhook and notification infrastructure — event-driven notification systems that push AI and analytics outputs back into operational workflows and user-facing applications

From source systems to AI and analytics consumption. Governed, observable, and extensible.

Integration Layer

What Gets Built Here

Source Systems

EHR, ERP, CRM, WMS, legacy applications, payer portals, and third-party SaaS — the systems that own data and need to share it. Each connected via the most appropriate pattern for its capabilities and constraints.

Integration Platform

iPaaS, API gateway, ESB, or event broker — the governed middleware layer that routes, transforms, and delivers data between systems without creating direct dependencies.

Data & Event Bus

Kafka, Azure Service Bus, or AWS EventBridge — the event streaming layer that decouples producers from consumers and enables real-time event propagation across the enterprise.

API Management Layer

Real-time and batch inference endpoints integrated into operational systems. Decision logic that maps model outputs to automated actions — route, escalate, approve, flag, or trigger a workflow.

Monitoring & Retraining

API gateway, developer portal, rate limiting, authentication, usage analytics, and versioning controls — the governance layer for every API exposed internally and externally.

AI & Analytics Layer

The consumption layer where AI models, agents, data pipelines, and analytics platforms access enterprise data through governed APIs and event streams.

Observability Layer

Integration health monitoring, message volume dashboards, error rate alerting, SLA tracking, and distributed tracing across the complete integration estate.

Healthcare & RCM

EHR to billing platform integration — HL7 FHIR-compliant bidirectional integration between Epic, Cerner, and Athena and billing/RCM systems with AI coding layer in the middle

Payer connectivity — eligibility, prior auth, claims status, ERA, and remittance integrations with major payers and clearinghouses for automated RCM workflows

Clinical data platform APIs — FHIR R4 APIs exposing patient data to analytics, AI, and population health platforms with HIPAA-compliant access controls

Healthcare system consolidation — integration architecture connecting acquisitions — separate EHRs, billing systems, and clinical tools — into a unified data and workflow layer

Financial Services

Core banking API layer — API wrapper and integration middleware enabling modern channel applications to access core banking data without direct system coupling

Open banking compliance — PSD2, FDX, and Open Banking API implementation for account data sharing, payment initiation, and third-party access

Trading system integration — market data, order management, and risk system connectivity with low-latency requirements and message delivery guarantees

Regulatory reporting integration — automated data extraction and submission integrations for regulatory reporting across multiple jurisdictions and formats

Enterprise & Dynamics 365

Dynamics 365 integration hub — connecting D365 Finance, CE, Supply Chain, and Business Central with ERP, WMS, e-commerce, and custom applications via Power Platform connectors

ERP-to-WMS integration — real-time inventory, order, and shipment data synchronisation between ERP and warehouse management systems eliminating manual reconciliation

CRM and marketing platform connectivity — bi-directional customer and opportunity data synchronisation between Dynamics 365 CE, marketing automation, and customer data platforms

AI agent tool integrations — structured API connectors enabling AI agents to read, update, and trigger workflows in Dynamics 365 and connected operational systems

70%

Reduction in manual data re-entry via integration automation

60%

Fewer integration failures with governed architecture vs point-to-point

3×

Faster AI deployment when integration prerequisites are in place

100%

API uptime SLA across production integration platforms

The complete enterprise integration stack — from iPaaS to event streaming to API governance.

Domain	Tools & Platforms
iPaaS & ESB	MuleSoft · Azure Integration Services · AWS EventBridge · Dell Boomi · Workato
API Gateway	Kong · Azure API Management · AWS API Gateway · Apigee · Nginx
Event Streaming	Apache Kafka · Azure Service Bus · AWS SNS/SQS · RabbitMQ · Google Pub/Sub
Healthcare Standards	HL7 FHIR R4 · SMART on FHIR · X12 EDI · CDA · Direct Messaging
API Frameworks	FastAPI · Express.js · ASP.NET Core · Spring Boot · Go (net/http)
Identity & Security	OAuth 2.0 · OpenID Connect · Azure AD · Auth0 · AWS Cognito · mTLSMonitoring & Tracing
Monitoring & Tracing	Datadog · Dynatrace · OpenTelemetry · Jaeger · AWS X-Ray · Azure Monitor

ML is most powerful when connected to the full pipeline

Data Engineering & Pipelines

Data pipelines that consume APIs and integration events to build analytics-ready data platforms.

Real-Time Data Streaming

Kafka and event streaming infrastructure that integration architecture publishes events to

AI Agent Development

AI agents that use integration APIs as tools — reading records, updating systems, triggering workflows.

Dynamics 365 Consulting

Dynamics 365 integration strategy and connected ecosystem design across the Microsoft platform

Show us the systems that need to talk. We will design the integration architecture that makes it happen safely.

Industries we serve

We collaborate with global technology leaders to deliver secure and scalable growth-driven digital solutions. Our partnerships strengthen our ability to innovate, accelerate transformation, and drive measurable business impact for our clients.

Case Studies

We used generative AI to automate documentation, compliance checks, and medical coding. The solution improves accuracy, cuts manual effort, speeds turnaround, and ensures regulatory compliance in clinical use.

0 +

200 +

When patient data was summarized clearly, documentation felt less burdensome. With CaliberFocus, clinician satisfaction rose from 58% to 81% without changing how teams work.

Dr. Rebecca HallCMIO, Healthcare

Better documentation and fewer audit issues delivered real savings. With CaliberFocus, billing compliance improved to 98.6%, reducing risk while easing the burden on clinicians.

Sophia WilliamsCTO, Clinical care

We gained clear visibility into student performance. Engagement rose, scores improved, and administrative effort dropped by nearly 30 percent, giving educators time to teach.

Andrew MillerDirector, Education Technology

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CaliberFocus delivers AI and machine learning development services that combine deep machine learning and deep learning expertise with production-grade MLOps. As a trusted machine learning service provider, we help organizations move models from experimentation to scalable production, delivering measurable business impact, accuracy, and long-term value.

API Development & System Integration

Enterprise Systems That Talk to Each Other — and to Your AI.

What disconnected enterprise systems actually cost?

Manual re-entry and error

AI blocked at the boundary

Point-to-point spaghetti

What we build?

Three API & integration capabilities

API Design & Development

Enterprise Integration Architecture

AI & Data System Connectivity

The Architecture

Enterprise integration architecture — six layers

Integration Layer

What Gets Built Here

Source Systems

Integration Platform

Data & Event Bus

API Management Layer

Monitoring & Retraining

AI & Analytics Layer

Observability Layer

Where this works?

API & integration in production — by industry

Healthcare & RCM

EHR to billing platform integration — HL7 FHIR-compliant bidirectional integration between Epic, Cerner, and Athena and billing/RCM systems with AI coding layer in the middle

Payer connectivity — eligibility, prior auth, claims status, ERA, and remittance integrations with major payers and clearinghouses for automated RCM workflows

Clinical data platform APIs — FHIR R4 APIs exposing patient data to analytics, AI, and population health platforms with HIPAA-compliant access controls

Healthcare system consolidation — integration architecture connecting acquisitions — separate EHRs, billing systems, and clinical tools — into a unified data and workflow layer

Financial Services

Core banking API layer — API wrapper and integration middleware enabling modern channel applications to access core banking data without direct system coupling

Open banking compliance — PSD2, FDX, and Open Banking API implementation for account data sharing, payment initiation, and third-party access

Trading system integration — market data, order management, and risk system connectivity with low-latency requirements and message delivery guarantees

Regulatory reporting integration — automated data extraction and submission integrations for regulatory reporting across multiple jurisdictions and formats

Enterprise & Dynamics 365

Dynamics 365 integration hub — connecting D365 Finance, CE, Supply Chain, and Business Central with ERP, WMS, e-commerce, and custom applications via Power Platform connectors

ERP-to-WMS integration — real-time inventory, order, and shipment data synchronisation between ERP and warehouse management systems eliminating manual reconciliation

CRM and marketing platform connectivity — bi-directional customer and opportunity data synchronisation between Dynamics 365 CE, marketing automation, and customer data platforms

AI agent tool integrations — structured API connectors enabling AI agents to read, update, and trigger workflows in Dynamics 365 and connected operational systems

What you can expect?

Outcomes from production integration architecture

70%

60%

3×

100%

The toolchain

Tools & platforms we work with

Why CaliberFocus?

What makes our integration engineering different?

AI Integration as a Core Competency

Healthcare Interoperability Depth

Governance as Architecture Standard

Data and Application Integration Together

Connected Services

What integration architecture enables?

Data Engineering & Pipelines

Real-Time Data Streaming

AI Agent Development

Dynamics 365 Consulting

Ready to connect your enterprise — and unlock your AI?

Industries we serve

Healthcare

Industrial Manufacturing

Banking and Finance

Retail and Ecommerce

Pharma & Life Sciences

Logistics and Supply Chain

Energy and Utilities

Media and Entertainment

Travel and Hospitality

Education & EdTech

Application innovation backed by deep engineering..

Measurable Results

True Partnership Model

Rapid Innovation Velocity

Enterprise-Grade Security

Partnering for innovation & growth

Case Studies

Enhancing Clinical Care, Fewer Readmits!

Automating docs, coding & compliance

Enterprise Systems That Talk to
Each Other — and to Your AI.

Enhancing
Clinical Care,
Fewer Readmits!