One-size-fits-all QA breaks at the edge of modern architecture.
Each system needs different assertions, environments and failure models. Our job is to turn those differences into repeatable engineering signals.
01 / AI
Systems that reason
LLM applications and agents are probabilistic, context-sensitive and dependent on model behaviour. We make that uncertainty measurable and regression-testable.
WHAT WE MAKE VISIBLE
Incorrect or ungrounded output
Prompt and context regressions
Wrong tool selection or sequencing
Safety-boundary failures
Latency and reliability drift
02 / MCP
Systems that connect
MCP quality lives between clients, servers, models, tools and external services. We validate the complete protocol ecosystem and how it fails.
WHAT WE MAKE VISIBLE
Schema and contract mismatches
Authentication and permission gaps
Client/server incompatibility
Partial multi-server failures
Timeout and recovery behaviour
03 / WEB3
Systems that transact
Hands-on quality engineering across consumer wallets, dApp sessions and digital-asset payment flows—from key recovery to final transaction state.
WHAT WE MAKE VISIBLE
Wallet onboarding, backup and recovery
Session lifecycle and chain switching
Signing across custody models
Pending, reverted and duplicated transactions
Callback, webhook and RPC reliability
AI evaluation lab
From “the answer looks okay” to repeatable evidence.
We structure evaluation data, behavioural criteria and regression runs around the tasks the system must perform—then track how prompt, context, model and tool changes affect the result.
EVALUATION RUNagent-release/024active
Task completiongrounded rubricevaluated
Retrieval qualitysource relevanceevaluated
Tool selectionexpected sequenceevaluated
Safety boundaryadversarial setevaluated
Latency budgetp95 thresholdobserved
Illustrative evaluation interface
MCP ECOSYSTEM
Test the connections, not only the tools.
Experience across varied MCP implementations gives us a practical view of where protocol workflows fail.
ClientModelMCPServersTools
Schema contracts
Auth boundaries
Multi-server routing
Failure recovery
WEB3 JOURNEY
Test the wallet journey as a distributed state machine.
Pairing, approval, signing, network state and transaction callbacks must agree before a user can trust the outcome.
PairApproveSignFinalise
Wallet lifecycle
dApp sessions
Multi-chain state
Recovery behaviour
Hands-on Web3 delivery
Quality engineering for wallets, dApps and transaction infrastructure.
Our experience spans consumer non-custodial wallets and custodial digital-asset payment systems. That means testing not just screens, but key material, sessions, networks, asynchronous state and the services behind every transaction.
NON-CUSTODIAL
The user controls the wallet.
Quality protects onboarding, wallet creation and import, backup and recovery, key export, dApp approvals, signing and multi-chain transaction journeys across mobile and web.
CUSTODIAL
The platform coordinates the funds.
Quality follows address provisioning, deposits, withdrawals, peer transfers, allowlisting, settlement, treasury routing and external status updates across services and networks.
01Connectwallet · account · chain
02Authorisesession · approval · policy
03Signpayload · key path · intent
04Settlenetwork · callback · finality
01
Wallet lifecycle
Create, import and restore multi-chain wallets with confidence across the states users cannot afford to lose.
Anonymous and account onboarding
Secret-phrase and encrypted backup recovery
Cloud and manual backup paths
Send, receive, on-ramp, staking and claims
02
dApps & signing
Validate the full session between a dApp, wallet, network and signing path—not only the approval screen.
Pairing and approval flows
Local and remote signing paths
Session expiry, caps and removal
Chain switching and network addition
03
Transaction integrity
Treat every transfer as an asynchronous state machine with external dependencies and irreversible outcomes.
Deposits, withdrawals and peer transfers
Address generation and allowlisting
Pending, failed and reverted states
Duplicate-credit and parallel-request races
04
Delivery systems
Build repeatable evidence around the interfaces, services and infrastructure that carry Web3 journeys to production.
Mobile, browser-extension and API automation
Contract, schema and database assertions
Performance and concurrency testing
CI reporting, diagnostics and quality gates
QUALITY ENGINEERING LAYER
Mobilereal-device journeys
ExtensiondApp interaction
API & eventscontracts and state
Performanceload and concurrency
CI/CDrepeatable evidence
Built to scale
From an exploratory prototype to a production quality system.
EvaluateBehaviour and task successAutomateRepeatable regression signalsOrchestrateDistributed dependenciesObserveReliability, latency and driftProtectCritical boundaries and flowsIntegrateQuality inside delivery
Advanced system, practical conversation
Bring us the workflow that is difficult to trust.
We will map its behaviour, dependencies and failure modes, then design a quality approach that makes them visible.