Portmux
ANY SOURCE → CUSTOM MIGRATION

SaaS Platforms to Custom Build
migration service.

Portmux is a SaaS to custom build migration service for companies replacing off-the-shelf platforms with software they built themselves. Salesforce, NetSuite, Zendesk, HubSpot, Shopify, Jira, most systems with an API or a documented export. We move your data into your custom system without slowing down the build team.

Most data migration work assumes a known destination, Salesforce to HubSpot, NetSuite to QuickBooks, both ends documented, both schemas stable. Custom builds break that assumption. The destination is being written while you're trying to migrate into it. Schemas change. Endpoints rename. Validation rules emerge during UAT. We've run a number of migrations into custom-built platforms and learned how to land production data into a target that's still under construction. We work alongside your engineering team, version-pin the destination contract, and stage data as your build hardens, so you don't have to choose between shipping the new platform and migrating the old one.

FIG. SAAS PLATFORMS → CUSTOM BUILD
SOURCE
SaaS Platforms
ANY SOURCE
DESTINATION
Custom Build
CUSTOM
6–14
Weeks typical
0ms
Cutover downtime
$12k
Starting fee
§ WHAT WE MIGRATE

Every object, every field.
From SaaS Platforms, into Custom Build.

Because the destination is custom, the object model is whatever you decide it should be. We help your team make those decisions from the start: which entities you actually need, which fields are still earning their keep, which legacy concepts (Lead vs Contact, Subsidiary vs Class, ticket priorities you never use) you finally get to drop.
Customer & Account records

All CRM contact, account, and company records from any SaaS source, deduplicated and reshaped to your custom domain model.

Transaction history

Orders, invoices, subscriptions, payments, refunds, and ledger entries from any source platform with full audit chain preserved.

Pipeline & opportunity data

Active and historical deals, stages, win/loss reasons, forecast categories, and stage-change timelines reshaped to your sales model.

Tickets, cases & support history

Conversations, tickets, internal notes, attachments, SLAs, and CSAT data from Zendesk/Intercom/Freshdesk/etc. into your custom support model.

Product catalog & inventory

SKUs, variants, pricing, inventory, media, and category hierarchies from Shopify, NetSuite, BigCommerce, or any commerce/ERP source.

User accounts & identity

User records, password hashes (where exportable), SSO mappings, role assignments, and team membership reshaped to your custom auth model.

Files & attachments

Every attachment from every source object, re-uploaded to your storage layer (S3, GCS, custom blob store) with associations preserved.

Activity & audit logs

Login events, record changes, system actions, and audit trails carried forward so compliance and forensic queries still resolve after cutover.

Custom fields & extensions

Every custom object, custom field, picklist, and extension from the source SaaS, reshaped to your custom schema (or deliberately retired).

Email & notification history

Sent email, transactional notification logs, message templates, and delivery records reshaped to your custom messaging schema.

Reports & saved views

Critical operational reports re-implemented as queries against your custom database, with the SQL or DSL handed off to your team.

Integrations & webhooks

Inventory of every active third-party integration on the source SaaS so your build team knows what your custom platform must replace or absorb.

§ HOW THIS MIGRATION RUNS

Three steps. One go-live date.

01
CONNECT

Plug into SaaS Platforms.

We sit down with your build team and your business owners to inventory what's in the source SaaS, every object, every custom field, every active integration. In parallel, we read the destination contract: API spec, database schema, ORM models, whatever's authoritative. The deliverable is a "what survives, what dies" decision document. Most custom-build projects use this as the moment to retire 30–50% of legacy fields.

02
MAP

Map to Custom Build.

We write a versioned mapping doc, source schema → destination schema, with every transform decision in writing. Because the destination is moving, we version-pin the contract per phase. Your build team agrees: "between now and Phase 2 cutover, these endpoints don't break." We test against a destination preview environment your team controls, with seed data flowing through end-to-end before any production records move.

03
CUTOVER

Flip the connection.

We dual-write to the custom platform during a 1–4 week rehearsal window so your team can validate UI flows, internal tools, and reports against real production data. On cutover, we run a final delta from the SaaS source, freeze writes, and switch traffic. You get a row-level reconciliation report: every record, accounted for. Migration code is handed to your engineers as a maintained repo, not a black box.

§ WHERE IT GETS HARD

SaaS Platforms to Custom Build isn't a button.

Every migration has its own gotchas. Here's what we plan for on this specific path.

● 01

The destination schema isn't finished

Custom builds evolve. We solve this by version-pinning the destination contract per migration phase and structuring the migration in stages, so your build team isn't blocked from refactoring after a stage lands. We rebuild the mapping for the next phase against the new contract, not the old one.

● 02

Your build team doesn't want a black box

We write the migration in your stack (Node, Python, Go, Rust) using your APIs and your conventions. The repo is owned by you, code-reviewed by your team, and runnable in your CI. When we leave, your engineers can re-run any migration script themselves. No vendor lock-in.

● 03

Identity, auth, and password handoff

Most SaaS platforms won't export password hashes. We map users by email, generate one-time reset links, and orchestrate a password-reset email flow timed to cutover. SSO users (Okta, Google Workspace, Azure AD) are mapped via external ID claim and migrate without a reset.

● 04

Audit and compliance fidelity

If your custom build replaces a SaaS that's under SOC 2, HIPAA, or financial audit, the auditors will ask whether historical records are still queryable. We carry the audit log forward in a queryable format and document the data lineage from source object to destination row. The auditor sign-off pack is a deliverable, not an afterthought.

§ STARTING PRICE

SaaS Platforms to Custom Build from $12K.

Single-system migrations like SaaS Platforms to Custom Build run as Track A engagements: one source, one destination, up to 1M records, 4–6 weeks. Final price depends on object volume, custom field count, and integrations, scoped on a 20-minute call before any commitment. See full pricing →

TRACK A
FROM$12K
4–6 weeks · 1 source → 1 destination · up to 1M records
Get a quote
§ QUESTIONS

SaaS Platforms → Custom Build, asked.

Do you migrate before or after our custom platform is built? +
Both. Most custom-build migrations happen in phases: a foundational data load when the destination first goes to internal beta, a delta load during UAT, and a final cutover when the custom platform replaces the SaaS in production. We schedule each load against your build team's release calendar so the destination is ready when our data lands.
Can you work alongside our internal engineering team? +
That's the typical engagement. We sync into your standups, work in your repo conventions, hit your APIs, and follow your release process. The migration code becomes one more service in your codebase, owned by your team after we hand it off. Many of our engagements are bought specifically because the build team doesn't want a separate vendor running parallel data infrastructure.
What if our custom platform isn't built yet? +
We can scope a migration before the destination exists, but the actual data load needs a target schema we can validate against. Practical approach: we run the source-side discovery and mapping work in parallel with your build (often 4–8 weeks of useful prep work), then schedule the production migration once the destination has a stable v1 schema. The discovery is rarely wasted, it informs the destination design.
Do you write the connector for our custom platform? +
Yes. We write to whatever interface your custom platform exposes: REST API, GraphQL, gRPC, direct database write, message queue, or a service-layer SDK. If your build team would rather we go through a service layer than write the database directly, that's the path we take. The connector is part of the deliverable repo.
Who owns the migration code after go-live? +
You do, fully. The migration is checked into a repo you own, in your stack, in your CI. We document every script, every transform, and every rerun procedure. Many of our customers re-run the migration scripts later to refresh staging environments or onboard a new acquired entity into the same custom platform.
Which source SaaS platforms have you migrated from into custom builds? +
Salesforce, HubSpot, Pipedrive, Zoho, Dynamics 365, NetSuite, Sage Intacct, QuickBooks, Xero, Zendesk, Intercom, Freshdesk, Jira, Linear, Asana, Monday, Shopify, BigCommerce, WooCommerce, Magento, Mailchimp, Klaviyo, Stripe, Recurly, Google Workspace, Microsoft 365, SharePoint, Notion, Airtable, plus dozens of legacy or vertical SaaS we've reverse-engineered against. If your source has an API, a database, or an export, we migrate it.
NEXT CUTOVER

Book a 20-minute
scoping call.

Tell us what's in the source, where it's going, SaaS or custom, and when you need to be live. You'll walk away with a scoped quote, a named engineer, and a go-live date.

§ RELATED MIGRATIONS