Enterprise AI Application Factory
Explore fazeZERO’s application inventory, compare existing foundations, and configure the right starting point for your organization.
Try:
Foundations that combine into a production program.
Passed the fazeZERO scaffold, build and testing baseline. Customer-specific integration and hardening remain part of implementation.
Sets session-specific prices for airline ancillaries (bags, seats, meals) by estimating purchase probability and maximising expected revenue under willingness-to-pay monotonicity.
An aspect-based restaurant reputation platform that derives star ratings for ambiance, cost, food, hygiene, and service from review text and surfaces term clouds for operators and diners.
Forecasts segment-level sales response with semi-black-box logit curves and allocates marketing budget under cost, profit, or ROI constraints at marketplace scale.
A social customer-care cockpit that labels each Twitter (X) turn with fine-grained dialogue acts in real time and predicts satisfaction, frustration, and resolution so brands coach agents and bots…
A matter pricing and supervision ledger for law firms that converts machine-collapsed legal work into defensible fixed and outcome-based fees, while recording which admitted lawyer supervised and…
An on-device breathing-acoustic authenticator that runs a quantized RNN on phones, watches, and Pi-class hubs, so IoT unlock stays private and works without a cloud round-trip.
Spec-complete products in the active pipeline. Engineering scaffolds are finishing this month — Design only listings show the roadmap without overstating readiness.
A scenario factory for defence and public-safety training that turns exercise and operational video into accreditable immersive scenarios with traceable behaviour provenance, and emits labelled…
A door-to-door commitment ledger for airlines and travel platforms that models every promise in a traveller's journey — bag pickup, ground transport, bag-drop cut-off, gate close, border lane, meal…
A passenger contribution ledger and fare-underwriting system for low-cost carrier groups that also run platform businesses, so that a deliberately thin fare is an underwritten commercial decision…
An offer distribution control tower for airlines that decides which channel may show which offer at which price, prices every channel on true contribution net of distribution and servicing cost,…
A network of overhead depth sensors that turns supplier gates, shift-transport doors and production-floor entrances into a non-identifying, tamper-evident record of how many people actually crossed…
An automation investment register for consumer goods supply chains that refuses to gate a candidate through to capital until the process is fit to automate, the people who will run it have a funded…
Start from what is going wrong today.
Foundations for governing AI models
Govern the AI model lifecycle from framing to monitored deployment.
Collect, review and submit regulatory evidence without the spreadsheet chase.
Answers from your own documents, with citations.
Step 1
Find the closest foundation
Search or describe the problem; compare the nearest foundations.
Step 2
Map the customer delta
Configure what changes for your workflows, roles, systems and controls.
Step 3
Solution Definition Sprint
Confirm architecture, integrations and the production plan.
Step 4
AI Production Sprint
Generate, extend, test and deploy into your environment.
Every foundation follows one architectural grammar: domain-driven design, OpenAPI contracts, a generated core, handwritten services and adapters, and tests. AI accelerates the implementation. fazeZERO governs the architecture.
Map your customer book against the foundations, generate grounded opportunity briefs and register opportunities — in a workbench branded for your practice.
Partner with fazeZEROConfigure the closest application and we will scope the delta in a Solution Definition Sprint. No checkout, no list prices — a scoped engagement.
Configure an application