GPU environments
Cluster setup, containers, scheduling, storage and resource monitoring.
DAPPWEB / INFRASTRUCTURE ENGINEERING
From model deployment and training to DApps, institutional payments and CBDC research. Define one verifiable scope, then build and hand over in stages.
01 / AI infrastructure
Cluster setup, containers, scheduling, storage and resource monitoring.
Model selection, multi-GPU serving, internal or offline APIs and access controls.
Quantization, engine adaptation and latency, throughput and memory benchmarks.
LoRA/QLoRA, supervised or full-parameter fine-tuning with agreed evaluations.
Domain-adaptive pretraining, data/tokenizer review and small-scale runs before larger compute commitments.
Licensed-source records, cleaning, annotation, versioning, checkpoints and rollback.
DELIVERYDeployment configuration, model artifacts, reproducible training/evaluation records and runbooks.
02 / Enterprise AI
Document processing, hybrid retrieval, reranking, citations and permission boundaries.
Tool integration, bounded workflows, human approvals and failure recovery.
Connect approved CRM, ERP, databases and internal APIs.
Task-specific tests, privacy controls, feedback and version acceptance.
DELIVERYA scoped application, knowledge pipeline, integration interfaces and acceptance evidence.
03 / DApp engineering
Connections, signing, network changes and transaction lifecycle states.
Agreed contract modules, existing ABI integration, tests and deployment scripts.
RPCs, event indexing, monitoring, duplicate handling and state reconciliation.
Selected swap, approval, liquidity, token and NFT flows.
Payment matching, confirmations, refunds and exception reconciliation.
Assess EVM, Solana and Move ecosystems per module and dependency.
DELIVERYSource changes, normal/failure-path tests and deployment handover. Audit and mainnet release are separately scoped.
04 / Institutional systems
Node admission, identities, governance and upgrade workflows.
Registration, authorized issuance/redemption, transfer rules and offchain reconciliation.
HSM integration planning, approvals, rotation and recovery exercises.
Payment interfaces, ledger messaging, data minimization and authorized audit access.
DELIVERYAn agreed prototype or integration module, gateway, operator tools and validation records.
05 / Sovereign infrastructure
Retail/wholesale scenarios, operating roles and centralized versus distributed ledger assessment.
Local infrastructure, isolation, dependency records and source/operations transfer.
Simulated issuance, distribution, redemption, destruction and supply reconciliation.
Two-tier interfaces, wallet/payment prototypes and institution reconciliation.
Device/risk feasibility, double-spend controls, DvP/PvP and cross-system trials.
Authorized reporting, privacy assessment, capacity tests and recovery exercises.
DELIVERYArchitecture studies, sandbox modules, pilot evidence and handover. Production responsibilities require authority, specialist review and institutional acceptance.
06 / DELIVERY
Goals, systems, data permissions and acceptance.
A model, compute baseline or one critical flow.
Defined modules, milestones and dependencies.
Test evidence, source, configuration and runbooks.
Technical services, compute/cloud, third-party licenses, independent assessments and maintenance are itemized separately. Training outcomes, throughput, timing and cost are agreed after baseline assessment.
A CBDC may use a centralized or distributed ledger. Monetary policy, issuance authority and regulatory rules remain with the competent institutions. This catalog does not establish central-bank authorization, sovereign project credentials or production qualification. Offline payments, cryptographic infrastructure and core production systems require specialist validation and confirmed delivery arrangements.
Technical references: BIS CBDC architecture ↗ · Project Rosalind ↗
START WITH ONE DELIVERABLE
Share the goal, current environment, data/access constraints, budget and target date. Start with an assessment or pilot.