Your Teams Are Copy-Pasting Between Systems. We Connect Them.
If you're an ops lead watching your team manual-merge Shopify orders into NetSuite every morning, you're paying $180k/year for human middleware.
Your business runs on 5+ tools that don't talk to each other. Orders come into Shopify but inventory lives in your ERP. Customer data is in HubSpot but your support team uses a separate system. Shipping updates are in the FedEx portal but your customers call you asking where their order is. You need one system that connects everything -- and AI that makes sense of the data flowing between them.
Your Shopify order fires. Within two seconds, your ERP inventory adjusts, your CRM logs the sale, Stripe processes payment, Twilio sends an SMS confirmation, and your fulfillment queue updates -- no spreadsheet touched, no Slack message sent, no one checking a portal. That's what working API integration looks like in 2026. Most growing businesses run 8–15 disconnected tools. Your CRM doesn't see payment data. Your ERP doesn't know shipping status. Your support team opens three tabs to answer one question. So your people become the integration layer -- copying order numbers, updating records manually, checking portals every Tuesday. Proper integration eliminates that entirely. REST API connections with webhook-driven event handling mean data flows automatically between your systems. Field mapping transforms Stripe's payment_intent into your ERP's transaction_id. Retry logic with exponential backoff catches failures before they become silent data loss. And in 2026, it means something more: AI agents connected via MCP that can read your order database, classify support tickets, trigger workflows -- not just chat, but act. Without it, your team burns hours on copy-paste work your competitors automated two years ago.
What is holding your current website back?
The hidden cost of disconnected tools and manual data transfer.
How We Build This Right
Every safeguard, built in from Day 1.
Payment & Commerce Integration
Stripe, Stripe Connect, and payment gateway connections are where you really can't afford shortcuts. We're talking proper webhook handling with signature verification, idempotency keys so duplicate events don't charge customers twice, and retry logic that handles network failures gracefully. Plus subscription lifecycle management, marketplace payout splits, and reconciliation automation so your finance team isn't manually matching transactions.
Communication & Messaging
Twilio for SMS and voice, Brevo for transactional email, ElevenLabs for AI voice, Nylas for inbox integration -- these aren't interchangeable. Each one has different rate limits, delivery guarantees, and failure modes. We've built multi-channel notification systems that route to the right channel based on customer preference and message urgency. So the right message reaches the right person, the right way.
CRM & Marketing Automation
HubSpot, Instantly, and Findymail working together means your outbound pipeline actually stays clean. Lead data enriched via Findymail, sequences running through Instantly, and everything syncing back to HubSpot so it stays the source of truth. Bidirectional -- not just a one-way push that falls out of sync within a week.
Search & Data Intelligence
Algolia isn't just a search box. Typo tolerance, faceted filtering, custom ranking rules -- it's a genuinely different experience for users compared to basic database queries. We pair that with Google Maps for location-based filtering and custom scoring logic that surfaces your most relevant data first. The result is search that actually works the way users expect it to.
AI Agent & MCP Connections
Claude API and OpenAI connected as autonomous agents -- not chatbots sitting in a corner answering FAQs. MCP connections let the AI actually reach into your systems: read database records, process an order, classify and route a support ticket, trigger a downstream workflow. That's a fundamentally different thing than a chatbot. And it's what makes AI useful in an operations context.
Monitoring & Error Handling
Sentry catches errors before customers do. PostHog tells you whether your pipeline is healthy or quietly degrading. Upstash Redis handles rate limiting and caching so you don't hammer third-party APIs or blow through paid tier limits. And every integration we build includes retry logic, dead letter queues for failed messages, and alerting that gives you context -- not just "something broke."
What We Build
Purpose-built features for your industry.
Copy order data from Shopify into your ERP manually because there's no sync
Orders sync instantly -- Shopify to ERP to fulfillment queue with zero manual copying or portal-checking
Check FedEx portal separately, then paste tracking numbers into customer emails by hand
Customers get tracking SMS automatically when FedEx scans the package, no support time spent relaying updates
Update HubSpot CRM after every sale closes because Stripe doesn't feed it automatically
Support sees full purchase history, past tickets, and CRM notes in one view -- context on every interaction
Answer support tickets blind -- no purchase history, no interaction log, just guessing context
AI agents read your order database, process routine requests, escalate edge cases -- because your systems expose clean APIs
Discover oversold inventory only after the angry customer emails asking where their order is
Failures retry automatically with exponential backoff, land in dead letter queues if persistent, fire Sentry alerts with full context
Watch competitors deploy AI agents while your data sits locked in disconnected silos with no API layer
Build your own public API with rate limiting and webhook events so partners can integrate with you -- opening revenue channels manual workflows can't
Built on a Modern, Secure Stack
Our Development Process
From discovery to launch. Quality at every step.
System Audit
Week 1Before writing a line of code, we map everything: every tool in your stack, every data flow, every manual handoff where someone's copying and pasting between systems. And honestly, that audit alone is valuable -- most teams haven't seen their own data flows laid out end to end. From there, we figure out which integrations save the most time and which data gaps are causing the most pain.
Integration Architecture
Week 2Once we know the landscape, we design the actual data flow: which system owns which data, how webhook events are structured, what happens when a sync fails, how retry logic behaves under load. You see the full blueprint -- field mappings, error handling strategy, the whole picture -- and you approve it before we build anything. No surprises mid-project.
Core Integrations
Week 3-5We don't build everything at once. The highest-priority integration goes first, deployed to a staging environment with real test data so you can verify that the actual data flowing through matches your expectations. Not synthetic test cases -- real records from your systems behaving exactly as they will in production. Then we move to the next one.
AI & Advanced Features
Week 6-8Once the core connections are live, we tackle the harder stuff -- MCP connections for AI agents, transformation pipelines that reconcile messy data between legacy formats and modern APIs, and multi-step workflows that orchestrate actions across 4 or 5 systems in sequence. This is where the real efficiency gains show up.
Launch + Monitoring
Week 9-10Production deployment includes Sentry error tracking wired up from day one, PostHog pipeline health metrics so you can see data flowing in real time, and alerting configured before we hand anything over. Plus 30 days of free monitoring after launch -- because the edge cases that don't show up in testing always show up in the first few weeks of real production traffic.
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