In partnership with FieldSignal.AI
AI you can put in production tomorrow.
Allianz Cloud Hosting has partnered with FieldSignal.AI to deliver a curated stack of production-grade AI services: managed LLMs, computer vision, document intelligence and field operations AI, hosted on our infrastructure and supported by our engineers.
The partnership
Allianz × FieldSignal.AI
FieldSignal.AI builds the models and pipelines. Allianz runs the infrastructure they depend on: GPU compute, low-latency networking, secure data residency and round-the-clock operations. Together you get a single contract for the entire AI stack, from silicon to inference endpoint.
Capabilities
Six things we ship today.
01
Managed LLM endpoints
Open-weight and proprietary models served from your region, with rate limits, logging and RBAC out of the box.
02
Document intelligence
Extract structured data from invoices, contracts, IDs and forms. Accuracy validated, not guessed.
03
Computer vision
Object detection, OCR, defect inspection and visual QA, trained on your data, deployed at the edge.
04
Field operations AI
FieldSignal.AI's flagship, real-time signal intelligence for field teams in energy, telecom and logistics.
05
Retrieval & RAG pipelines
Vector databases, embeddings and orchestration, wired to your knowledge base with citations.
06
Voice & transcription
Multilingual ASR, diarization and live translation. Arabic, English and a dozen more out of the box.
Where it's working
Built for industries that can't tolerate hallucinations.
FieldSignal.AI's roots are in industries where wrong answers cost real money. Every deployment ships with eval harnesses, guardrails and human-in-the-loop review.
Energy & Utilities
Predictive maintenance, drone-imagery analysis, anomaly detection on telemetry streams.
Telecom
Field-force optimization, RF coverage modeling, support ticket triage.
Logistics & Supply Chain
Route signal intelligence, exception detection, document automation across customs and POD.
Government & Smart Cities
CCTV analytics, incident response copilots, multilingual citizen services.
How an engagement works
From hypothesis to production in four steps.
Step 01
Discovery
Two-hour working session to pin down the use case, data and success metrics.
Step 02
Pilot
Four-week pilot on a slice of your data, with weekly demos and a shared eval set.
Step 03
Hardening
Guardrails, monitoring, RBAC and the runbook, the unglamorous work that keeps it alive.
Step 04
Operate
We run it 24/7. You see dashboards. We carry the pagers.
Got an AI use case in mind?
Tell us what you're trying to do, we'll come back with a build or buy recommendation and a fixed-price pilot scope.