Integration Platform

Connect Systems Without Losing Records

Idempotent, reconciliation-aware sync across ERPs, CRMs, storefronts and partner APIs — every batch replayable, every discrepancy paged.

Cross-system is where most data gets lost — in retries, in lag, in silence. Bridge moves records across ERPs, CRMs, warehouse systems, storefronts and partner APIs with one idempotent, reversal-aware connector per integration, built for systems that lag, throttle, lie and lose — and verified against them. Every sync is idempotent by contract and replayable from the first byte to the last; the schema, its version, and its validation result are recorded with every batch, so your teams can see which mapping, at which version, at which millisecond. An integration that silently drops a record is not an integration; it is a liability with a dashboard.

We refuse the superstition that "integration" means "wrapping their API". Our connectors are built for the systems as they actually behave: an ERP that accepts a write and reports a different state a minute later; a storefront that confirms an order the fulfillment system later denies; a partner API that lies about its own downtime. Reconciliation runs hourly, three-way — source, bridge, target — and any discrepancy pages the on-call engineer directly, never lands in a "we'll look tomorrow" queue. The boring tools — idempotency keys, reconciliation jobs, audit logs — are boring on purpose. Exciting integrations are a liability we cannot afford.

Key Capabilities

Idempotent Connectors

One idempotent, reversal-aware connector per integration; a retried network call cannot duplicate a record — ever.

Schema Contracts

JSON Schema and OpenAPI contracts, versioned and enforced; breaking changes caught at design review, not in production.

Three-Way Reconciliation

Source, bridge and target reconciled hourly; discrepancies page the on-call engineer, not a "tomorrow" queue.

Pre-Flight Simulation

Dry-runs execute the same code paths as live sync — the mapping is the contract, and you can read it before it ships.

Built With

RustgRPCKafkaTemporalTerraform
140+

Prebuilt connectors

<60s

Median end-to-end sync

99.99%

Delivery guarantee

How It’s Built & Delivered

Architecture

Rust sync core, connector services as bounded contexts, JSON Schema contracts between them.

Verification

Pre-flight simulation runs against the same code paths as live sync — the mapping is the contract.

Delivery

Every release rides the gated pipeline: review, scans, signed provenance, canary, automatic rollback.

Success Stories

Cedar Manufacturing

ERP–warehouse sync in near-real time; stock discrepancies to zero across 4 plants

Sahara Retail Group

Order flow rerouted during ERP maintenance; zero lost orders in 11 months

Bridge questions

Which systems do you connect?

ERPs, CRMs, warehouse and fulfillment systems, storefronts, and partner APIs — 140+ prebuilt connectors, each idempotent and reversal-aware.

How do you handle a dropped connection mid-sync?

Idempotent by contract; the request is retried with the same idempotency key when the network returns. A retried network call cannot write a record twice — ever.

What about breaking schema changes?

Expand–contract migrations: the new field ships, consumers migrate, the old field retires — never a hard cutover that breaks a client mid-flight.

How do we prove what was synced?

The audit log shows every batch, mapping version, and validation result — all replayable on demand.

What does "reversal-aware" mean?

Every write has a compensating action; a failed downstream step reverses cleanly instead of corrupting the target state.