.svg){kind=small}
.svg){kind=small}
.svg){kind=small}
Custom Integrations for the Stack That Native Connectors Won’t Touch.
SaaS to AI-native SaaS, billing to CRM, warehouse to revenue motion — we build the integrations off-the-shelf tools were never going to ship.
- HubSpot ↔ Salesforcebi-directional sync
- Clay → HubSpotAI enrichment → CRM
- QuickBooks ↔ HubSpotinvoicing ↔ revenue
- PandaDoc ↔ HubSpotcontracts ↔ deals
- OpenAI / AnthropicLLM workflows
- Snowflake → CRMreverse-ETL
- Stripe ↔ HubSpotbilling ↔ revenue
- Outreach AI → CRMtwo-way activity sync
You’ve bought the tools. Now you need them to talk to each other.
CRO, VP of RevOps, COO, or founder of a B2B revenue team that’s added five new vendors in the last twelve months — at least one of them AI-native. The native integrations cover 20% of what you need. Your team is patching the other 80% in spreadsheets, Zapier scenarios, and tickets that never close.
Vendor sprawl, no spine
You added Clay, Apollo, Outreach AI, Gong, and an LLM workflow this year. None of them sync the right data back to HubSpot or Salesforce.
AI tools, no measurable ROI
The CFO asks where the AI spend shows up in pipeline. You can’t answer because the AI tools live in their own silo.
Custom data, off-the-shelf integrations
Your product or business model doesn’t fit the vendor’s template fields. Their ‘out-of-the-box’ integration breaks the moment you hit a real-world edge case.
Every vendor promises an integration. Almost none of them ship one that holds up.
‘Native integration’ usually means a one-direction sync of three fields. ‘Marketplace integration’ means a third-party app that was last updated 18 months ago. ‘Zapier scenario’ means a fragile chain that breaks the first time someone renames a property. The promise was a connected stack. The reality is data that’s almost right — which is worse than data that’s obviously wrong.
Native integrations missing half your fields.
AI tools that read data but don’t write back. Webhooks that fail silently. Reverse-ETL that runs once a day when you need it once an hour.
Every Monday you don’t fully trust the number.
Reps re-key data between systems. RevOps spends their week reconciling instead of building. The AI tools your CEO asked you to buy are producing output invisible to the people who need it.
The stack is supposed to compound.
Disconnected tools don’t compound — they multiply costs and complexity. Every minute spent reconciling between systems is a minute not spent moving the number.
It checks the box on the vendor’s marketing page. It does not check the box on your actual revenue motion.
RevOps brain. Engineering hands. We’ve shipped integrations across the modern AI stack.
We’re not a Zapier shop and we’re not a six-month enterprise SI. We’re operators who came up running RevOps inside revenue teams — and along the way we built the integrations they actually needed. HubSpot Diamond Partner. Salesforce Consulting Partner. Builders who’ve shipped custom integrations across Clay, Apollo, Outreach, Gong, Regie, OpenAI, Anthropic, Snowflake, Segment, Stripe, QuickBooks, PandaDoc, Chargebee, and Gainsight.
HubSpot Diamond Partner
Custom integrations into the Hub you already run. Sales, Marketing, Service, Operations.
Salesforce Consulting Partner
Multi-cloud integrations. Sales Cloud, Service Cloud, Revenue Cloud, Data Cloud.
AI-native fluency
Shipped integrations across Clay, Apollo, Outreach, Gong, Regie, and direct OpenAI/Anthropic API workflows.
Reverse-ETL specialists
Snowflake → CRM, Segment → CRM, Looker → exec dashboards. Data lands where decisions get made.
API + middleware engineers
Custom webhooks, queue-backed retries, idempotent writes. Integrations that survive a production weekend.
Built-in observability
Every integration ships with monitoring, alerting, and a runbook. You’ll know it broke before your team does.
‘I have worked with many HubSpot agencies, and Elefante is top-tier—the collaboration has been smooth since day 1.’
Three steps to start. Five stages to ship.
A two-person build team — a Growth Architect who owns the data model and a GTM Engineer who writes the code — scoping in a written sprint plan before we touch a record. We work in your tools, in your sandbox, with your team on call.
Run a Scoping Call
45 minutes. Current stack inventory. Three highest-risk data flows. Honest answer on whether a custom integration is the right move or whether something off-the-shelf would do.
Get a written scope
Fixed deliverables. Defined data contract. Test plan. Sandbox-first build order. Before we write a line of code.
Ship in two-week sprints
Continuous deployment. Sandbox → staging → production with monitoring on day one. Owners coached so the integration survives the engagement.
Anything that needs to talk to anything else. We’ve probably built it.
The stack is wider than it’s ever been. We’ve shipped integrations across the modern revenue + AI tooling landscape. Each is purpose-built — no fragile Zaps, no third-party reseller middleware, no ‘we’ll figure out monitoring later.’
AI-native CRM sync
Two-way integrations between AI tools (Clay, Apollo, Outreach AI, Gong, Regie, custom LLM workflows) and HubSpot/Salesforce. AI output becomes structured CRM data. Reps see context, RevOps measures ROI.
OpenAI / Anthropic / custom LLM
Direct API integrations for enrichment, lead scoring, summarization, qualification, conversational workflows.
HubSpot ↔ Salesforce
Bi-directional sync beyond the native connector. Custom objects, fields, conflict resolution, ownership rules.
Reverse-ETL from the warehouse
Snowflake / BigQuery / Redshift → CRM. Customer 360 data lands on the record where it gets used.
Stripe / Chargebee → CRM
Subscription lifecycle, MRR, churn signals synced into HubSpot or Salesforce. Finance and Sales walk in with the same ARR.
Segment / event streams
Product usage events → CRM, marketing platforms, and your warehouse. One event, every system.
Custom webhooks + middleware
Queue-backed, idempotent, observable. When a SaaS vendor’s webhook fails, our middleware retries and alerts.
Integration monitoring + maintenance
Every integration ships with health checks, drift alerts, and a quarterly maintenance window. Integrations rot. Ours don’t go silent.
60 days after a clean integration build, this is what your team is running on.
Not aspirational. This is what our clients are running on today.
Every AI tool feeds the CRM
Output from Clay, Apollo, Outreach AI, Gong, and your LLM workflows lands on the contact, deal, or account record — structured, attributed, queryable.
AI ROI is measurable
Pipeline sourced and influenced by AI tooling shows up in the same dashboards as everything else. The CFO gets a number.
Reps stop re-keying data
Customer context appears inside the system they already work in. No second login. No copy-paste.
Finance and Sales reconcile
Billing data flows to the CRM. CRM data flows to finance. Month-end close drops from days to hours.
The warehouse is the source of truth
Snowflake / BigQuery / Redshift holds the canonical record. Every downstream tool reads from it.
Integrations don’t go silent
Monitoring, alerting, runbooks. When an API changes, you find out from us — not from the rep who can’t log a deal.
You’re the leader who finally connected the stack.
What happens when integration debt compounds. Not the worst case. The base case.
We’ve walked into stacks running on three-year-old marketplace integrations, broken Zaps, and AI tools no one can prove ROI for. Here’s what we see.
AI spend with no revenue contribution.
The CFO cuts the AI line item because no one can show it produced pipeline. The CRO loses leverage. The team’s most modern tools get pulled.
Manual reconciliation eats RevOps.
One person spends two days a week stitching data between systems. They burn out, leave, and take the knowledge with them.
Tool migrations break the whole stack.
You swap one tool. Six integrations fail silently. By the time you notice, the deal you were tracking has slipped a quarter.
Bring the rest to the scoping call.
Answers to the questions we get on every discovery call. If yours isn’t here, it’s the first thing we’ll cover when you book the scoping call.
What counts as a ‘custom integration’?
Do you only work in HubSpot and Salesforce?
What about AI-native tools specifically?
How long does a typical integration take?
Do you maintain the integration after you build it?
Can we keep this in-house and just have you scope it?
Stop patching with Zaps. Start shipping integrations that hold up.
45 minutes. Current stack inventory. Three highest-risk integrations. An honest answer on whether a custom build is the right move.