Coming soon · 2025

Weaving data into decisions.

QuantWeave Intelligence is developing QWIEAIS, an integration-native AI layer that learns the patterns inside messy partner data — EDI, JSON, XML, CSV — and turns them into clean, reusable models. Run it on-prem or in the cloud, keep control of your data, and ship automations that stay up in production.

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Preview

QWIEAIS

An integration-native control plane with observability built in.

  • Plug-in adapters for EDI, JSON, XML, CSV
  • AI-learned partner mappings with human sign-off for production
  • Run on-prem or in your cloud, with a straightforward API for your stack
  • OpenTelemetry metrics, traces, and logs ready for your observability stack

Data Autopilot

Semantic matching reads new partner payloads, maps them to your canonical business objects with confidence scores, so onboarding doesn’t mean rebuilding mappings from scratch.

Deploy Anywhere

Container-native and happy on your existing clusters or VMs. Optimized for CPUs, with GPUs as an optional boost when you need more throughput.

Bring your own payloads

QWI learns your existing formats instead of forcing a proprietary one. Your systems talk the same way before, during, and after.

  • Connect using the payloads you already send: IDoc, EDI, XML, JSON, CSV
  • Canonical JSON is an internal contract, not something partners must adopt
  • Mappings and models are designed to be exportable in open formats

Operations console

See every workflow as it moves through the system: status, timing, partner, and where it failed or succeeded — with search by business document IDs.

  • Search by invoice, order, shipment, or other business keys
  • Drill into a single transaction to see each step and its status
  • Link out to metrics and traces in your existing observability stack

Resilient & auditable

Built for real-world integration weirdness: retries, deduplication, and a replayable audit trail instead of fire-and-forget flows.

  • Automatic retries with backoff for transient partner or network failures
  • Idempotent processing and duplicate detection using document/control numbers
  • History of mapping versions, approvals, and transaction outcomes for audits

Ingest. Learn. Deliver.

Ingest

Connect current and legacy sources without rewriting them. QWI takes partner payloads as they are and brings them into the flow.

  • HTTPS and API endpoints for modern integrations
  • SFTP and file drops for “classic” flows
  • Partner formats as-is: IDoc, EDI, XML, JSON, CSV

Learn

Semantic matching learns how each partner’s payload maps to your canonical business objects, with humans in control of what reaches production.

  • AI-learned partner-to-canonical mappings
  • Human review and sign-off for production versions
  • Versioned mapping history you can audit and adjust

Deliver

Emit clean, canonical objects wherever they need to go — external partners or internal systems — over the protocols you already use.

  • Deliver to partners, internal apps, queues, or data lakes
  • Use existing channels: HTTPS, APIs, SFTP, and other supported protocols
  • Keep a traceable record of what was sent, when, and where