AI-powered App Integration for B2B

Connect enterprise apps, automate workflows with ML orchestration, and accelerate time-to-value for your next-gen application.

We design resilient integration layers, build API gateways, and embed AI agents to streamline data flows across services.

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Enterprise-ready Secure pipelines ML orchestration
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What we do

Business Apps Hub architects B2B integrations with an AI-first approach: data pipelines, API strategy, event-driven architectures, and orchestration layers that include smart routing and ML-based transformations. We prioritize security, observability, and incremental delivery.

  • API design & gateways (REST / GraphQL)
  • Event-driven systems & message buses
  • ML inference pipelines and feature stores
  • Data mapping, enrichment, and governance
Our process Request a consult

Quick facts

Integration maturity: API-first • Event-native • AI-enhanced

Typical engagement: 8–20 weeks

Industries: Retail, Logistics, Healthcare, SaaS

Integrations & connectors

Pre-built connectors and custom adapters — we integrate CRMs, ERPs, payment systems, analytics platforms, and messaging services. We also build adapters for legacy systems.

API gateway
API Gateway & Security

Centralized auth, rate limiting, token exchange, and policy enforcement for cross-team integrations.

Event bus
Event Mesh & Streaming

Reliable event delivery, schema evolution strategies, and replayable event stores for fault recovery.

ML ops
ML Orchestration

Feature pipelines, inference endpoints, model monitoring, and fallbacks integrated into production flows.

Our engagement model

  1. Discovery & integration audit — map systems, data, SLAs
  2. Architecture & API design — secure, observable patterns
  3. Implementation — connectors, orchestration, CI/CD
  4. Validation & hardening — load, failover, compliance
  5. Operational handoff — runbooks and monitoring
Schedule discovery

Technology choices

We work with cloud-native platforms (Kubernetes, serverless), messaging systems (Kafka, Pulsar), API gateways, and managed ML infra. We help you pick trade-offs aligned with business risk and performance needs.

Cloud-native
Automation
Security

Case studies

Retail integration
Omnichannel retail integration

Connected POS, inventory, and fulfillment with ML-driven demand signals — reduced stockouts by 18%.

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Logistics integration
Logistics routing & telematics

Event-driven telemetry ingestion, ML-based routing, and fallback orchestration improved on-time delivery by 12%.

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Team & expertise

Our practitioners include integration architects, ML engineers, SREs, and product designers who deliver production-grade integrations for B2B clients.

  • API-first architects with experience across enterprise stacks
  • ML engineers who productionize models and build inference pipelines
  • SREs focusing on observability, SLAs, and runbooks
Engage our team
Lead architect photo
Alex Rivera
Lead Integration Architect

FAQ — AI & integration

We apply end-to-end transport encryption, token-based auth, fine-grained ACLs, and data masking. Our design includes audit trails and monitoring to meet compliance requirements.

Yes — we prefer an incremental approach: adapters, shadow-syncs, and blue/green patterns to minimize risk and avoid service interruption.

AI helps with intelligent routing, anomaly detection, automated data mapping, and adaptive throttling — reducing manual interventions and improving throughput.

Ready to integrate smarter?

Start with a short technical audit to reveal quick wins and a roadmap for phased delivery. No forms — just schedule a call or send an email.

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