Six modules spanning consulting, development and operations—built for multinational finance, retail and hospitality enterprises.
Diagnose enterprise AI needs through executive interviews and data audits. Deliver a needs assessment, phased roadmap and feasibility (incl. compliance) report.
Finance research & risk · Retail operations · Hotel intelligent service
Fine-tune vertical LLMs on proprietary data and build end-to-end scenario applications with ≥90% accuracy—no generic model wrappers.
Powered by GAF DAO DePIN compute network—no self-built GPU farm required
Bridge AI apps with hotel PMS, retail ERP and other core systems. Privacy-computing keeps data usable yet invisible while AI is embedded into existing workflows.
ERP · PMS · CRM · Data platforms · Privacy computing
Anchor training-data hashes, model parameters and inference outputs on the GAF DAO consortium chain—traceable, tamper-proof and audit-ready.
Cross-border settlement · e-Attestation · Audit · Tokenization
“Core + edge” architecture across GAF DAO’s five global nodes (APAC, Americas, MEA, LATAM, Africa) — ≤500 ms latency, data stays in-region.
Cross-border SaaS · Global portals · Multi-region compliant storage
24×7 global monitoring, periodic model iteration and staff enablement. ≤1 h incident response and ≥85% sustained model accuracy.
Annual subscription · SLA-backed · ≥90% training pass rate
Industry, AI and compliance experts run interviews and data audits.
Deliver the AI consulting & development proposal—scope, roadmap and budget.
Model development, system integration, deployment testing with weekly status reports.
Functional, performance and compliance tests, followed by sign-off.
Continuous ops, model iteration and training with quarterly review reports.
Leverage existing DePIN compute and consortium chain to cut 30%–50% of infra cost.
Compliance is embedded into consulting and build—no costly remediation later.
One-stop access to consulting → build → deploy → operate, cutting coordination cost by 50%.
Project-based, annual subscription and outcome-based models—combinable to fit your strategy.
One-off engagements (strategy, model development); priced by complexity with defined deliverables.
Ongoing operations: 24×7 support, periodic iteration and enablement.
For measurable outcomes (e.g. AI risk-loss reduction)—we share both upside and risk.
A dedicated consultant will reach out within 24 hours with a tailored proposal.
Selected quotes from finance, retail, hospitality and compliance leaders—metrics confirmed by clients.
Aggregated uplift from the success cases above.
Typically 8–14 weeks from kick-off to first release: 1–2 weeks discovery, 2–3 weeks proposal, 4–8 weeks build, 1–2 weeks UAT, followed by ongoing operations and iteration.
We combine privacy-preserving computing with in-region storage, aligned with GDPR, China DSL and Singapore PDPA. Critical data hashes and model parameters are anchored on-chain for auditability.
No. We leverage the GAF DAO global DePIN compute network for on-demand training and inference, saving 30%–50% of infrastructure cost on average.
Yes. GAF DAO operates 5 regional nodes across APAC, Americas, MEA, LATAM and Africa, supports CN/EN/JP/KR/AR and more, with ≤500 ms latency and in-region data residency.
KPIs (e.g. risk-control accuracy, store-audit recognition rate, support resolution rate) are agreed upfront, validated at delivery, and sustained at ≥85% during operations with quarterly reports.
We offer outcome-based pricing (10%–20% of incremental gains) to share risk, and every engagement is backed by SLAs—missed KPIs trigger free iteration or refund clauses.
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.
