Anonymised project showcases demonstrating what Zubra has built, deployed, and operated across blockchain infrastructure, AI systems, and custom software development.
A proof-of-stake protocol operating validators across three networks needed to migrate its entire staking infrastructure away from a shared cloud provider following repeated performance issues during high-activity periods.
Zubra provisioned dedicated hardware for each network, configured isolated environments with custom alerting, and executed a zero-downtime migration during a maintenance window.
Zero slashing events. Validator uptime improved from 97.3% to 99.8% in the first quarter post-migration. Infrastructure costs reduced by 40% compared to the previous cloud provider.
A legal services firm needed to deploy a large language model for internal document review and contract analysis. Their compliance requirements made any third-party cloud AI service an immediate disqualifier. All processing had to happen on infrastructure they controlled.
Zubra deployed a fine-tuned open-source LLM on private GPU servers, integrated it with their document management system via a secure API, and built a RAG pipeline over their proprietary case law library.
Document review time reduced by 65% for standard contract types. Full data sovereignty maintained. Zero data sent to third-party APIs. Deployed and operational within six weeks of project kickoff.
A DeFi protocol with over $100M in total value locked needed hosting infrastructure that could guarantee uptime during market volatility events. These are the exact moments when their shared cloud hosting consistently degraded due to resource contention.
Zubra provisioned bare-metal servers with dedicated bandwidth, deployed a redundant node architecture with automated failover, and established 24/7 on-call coverage with a 10-minute incident response SLA.
99.97% uptime across a 12-month operational period including two major market events. Zero unplanned downtime during periods of peak transaction volume. Infrastructure incidents down from 14 per quarter to 1.
A blockchain infrastructure operator needed a custom staking dashboard to give their delegators visibility into validator performance, reward history, and network statistics. They also needed a public-facing analytics platform to support business development.
Zubra designed and built the full-stack platform: a React frontend, a Node.js API layer pulling from custom RPC indexers, and a PostgreSQL analytics backend. Deployed and monitored on Zubra's own infrastructure.
Launched in 10 weeks from project kick-off. Platform handling 50,000+ monthly active sessions at launch. Delegator churn reduced by 30% in the quarter following launch, attributed to improved transparency and reporting.
An investment firm conducting due diligence on Web3 projects needed to dramatically compress their research timelines. Their process involved pulling information from multiple sources, cross-referencing technical claims, and producing structured reports. This work consumed days of analyst time per deal.
Zubra designed and deployed a multi-agent system: specialised agents for on-chain data analysis, team research, competitive landscape mapping, and technical claim verification. These were coordinated by an orchestration layer that produced structured reports.
Due diligence timelines compressed from 5–8 days to under 24 hours for standard projects. Analyst capacity freed for high-judgment tasks. System handles 3x the deal volume with the same team size.
A growing B2B SaaS company had reached the point where their two-person engineering team could no longer manage production operations alongside product development. Incidents were being discovered by customers, and there was no incident response process.
Zubra took over full application management: migrated workloads to private infrastructure, established a monitoring and alerting stack, defined incident response procedures, and implemented automated deployment pipelines with rollback capability.
Mean time to incident detection reduced from 47 minutes (customer-reported) to under 3 minutes. Deployment frequency increased from bi-weekly to daily. Engineering team focuses exclusively on product development.