End-to-end API integration services cover integration strategy and consulting, custom API development, third-party API integration, AI and LLM API integration, payment gateway integration, CRM and ERP integration, middleware architecture, API security and management, integration testing and quality engineering, and ongoing integration operations and monitoring. The best engagements also include an integration landscape audit before any connector work begins because decisions made in week one shape integration debt for years.

A focused integration single API integration or payment gateway setup: $5,000-$30,000. A mid-complexity integration project (CRM-to-ERP, multi-system data sync, AI API integration): $30,000-$150,000. An enterprise integration program with custom middleware, multiple system connections and ongoing operations: $150,000-$750,000+. Ongoing integration operations typically run $5,000-$40,000 per month depending on integration count and complexity. We provide detailed estimates after an architecture audit.

A focused integration (single payment gateway, single third-party API): 2-6 weeks. A mid-complexity integration (CRM-to-ERP sync, AI API integration, custom middleware): 8-16 weeks. An enterprise integration program with multiple systems and custom architecture: 6-18 months, executed in phases. We provide milestone-based timelines in writing before integration work begins.

REST is the dominant API architecture resource-based, HTTP-method-driven, predictable and broadly supported across every third-party platform. GraphQL is query-based clients that request exactly the data they need in a single call, reducing over-fetching and giving frontend teams more flexibility. Most modern integration architectures use both: REST for third-party integrations where it's the standard, GraphQL where flexible querying or aggregation across multiple sources earns its keep. We engineer both based on what fits the architecture, not what's currently fashionable.

AI-first API integration means designing integration architecture with AI workloads as a first-class consideration AI API orchestration, streaming response handling, token-level cost monitoring, vector and embedding integration, and the kind of integration design that makes AI features reliable, cost-controlled and safe to ship. If your roadmap includes AI features, retrofitting AI into legacy integration architecture is harder than designing for it from the start. The integrations worth building now are the ones that don't need rebuilding when AI workloads scale.

API security is engineered into the architecture from day one. OAuth 2.0 and OpenID Connect for authentication, API key rotation, rate limiting against abuse, input validation, output sanitization, encryption in transit and at rest, secrets management through Vault or cloud-native equivalents, audit logging and the kind of API security posture that survives both penetration testing and the compliance audit your industry actually requires.

Yes, that's most of what we do. We work across Salesforce, HubSpot, SAP, NetSuite, Microsoft Dynamics, Oracle, Stripe, PayPal, Square, Twilio, SendGrid, AWS, Google Workspace, Microsoft 365, OpenAI, Claude and the long tail of third-party platforms. For custom or legacy systems, we engineer custom integrations based on whatever interface the system exposes: REST, SOAP, EDI, file-based, database-level. Few systems are truly impossible to integrate; many are harder than they should be.

Webhooks are where most third-party integrations quietly accumulate failures. We engineer webhook handlers with idempotent processing, replay capability, retry logic with exponential backoff, dead-letter queues for unprocessable events, signature verification for security, comprehensive logging and the kind of webhook architecture that turns delivery failures from silent data loss into monitored, alerted, automatically-recovered events.

Three models: Dedicated Integration Team (for long-term, multi-quarter integration programs), Time & Material (for evolving scope and iterative integration work) and Fixed Cost (for well-scoped integration projects with defined deliverables). When you hire our API integration company, we recommend the model honestly based on your situation not based on which is most profitable for us.

AI API integration is a different category requiring different engineering. We integrate OpenAI, Anthropic Claude, Google Gemini, Hugging Face, Cohere and AI APIs with token-level cost monitoring, prompt versioning, output validation, fallback model routing, semantic caching, streaming response handling and the kind of AI integration architecture that makes generative AI features production-ready not demo-ready.

Yes. Managed integration operations is one of our core offerings 24/7 monitoring, error tracking, rate limit management, third-party API change tracking, security posture management, incident response and quarterly architecture reviews. You can hand over the operational load entirely, or run it alongside your in-house team. SLAs are defined and reported on every month.

Yes. API modernization is one of our specialties wrapping legacy SOAP/XML APIs with modern REST or GraphQL interfaces, migrating off legacy ESBs to modern integration platforms, replacing point-to-point connectors with event-driven architectures and the kind of modernization work that pays back without forcing a full re-platforming. We modernize incrementally where it makes sense and rebuild where the engineering economics justify it.