FieldSignal.AI
IN PARTNERSHIP WITH FIELDSIGNAL.AI

AI you can put in production tomorrow.

Allianz 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 vibes.

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 unsexy work that keeps it alive.

STEP 04

Operate

We run it 24/7. You see dashboards. We see pagers.

Got an AI use case in mind?

Tell us what you're trying to do — we'll come back with a build / buy recommendation and a fixed-price pilot scope.

Scope a pilot →