Case studies
Example system patterns we work on
Anonymised patterns showing how we design exchanges, platforms, bots and AI systems.
Why we share patterns instead of names
Privacy and NDA constraints require anonymised but actionable case formats.
Most production projects in trading and Web3 are private or NDA-bound.
So we publish system patterns that expose architecture logic and operational decisions without exposing sensitive identities.
Recurring system categories
The most common problem spaces we implement.
How each pattern is structured
Context, failure modes, approach, and deliverables in one view.
IDO / presale system with limits + monitoring
Context: High-traffic sale workflows with abuse risk
Common failure modes
- Per-wallet limit bypass attempts
- Ops blind spots during launch spikes
Approach: Guardrails on allocation logic + realtime monitoring with incident paths.
Deliverables
- Claim logic controls
- Monitoring dashboards
- Launch runbooks
Liquidity incentives + anti-sybil guardrails
Context: Reward programs vulnerable to gaming
Common failure modes
- Incentive extraction without real participation
- Weak verification paths
Approach: Eligibility checks, telemetry scoring, and controlled distribution workflows.
Deliverables
- Eligibility modules
- Alert rules
- Audit exports
Trading signal SaaS with alerts + audit logs
Context: Signal pipelines requiring explainability
Common failure modes
- Silent pipeline drift
- Unclear operator actions
Approach: Pipeline health checks, alerts, and action-level audit logging.
Deliverables
- Signal health monitors
- Ops alerts
- Action log model
How to use these pages
Treat them as architecture references, not copy-paste blueprints.
- Map the pattern to your own constraints, market, and operational model.
- Focus on failure modes and controls before implementation choices.
- Assume your specific compliance, latency, and team context will change details.
What to expect
Your situation will differ — let’s map it properly.
Share your architecture and goals for a practical pattern-fit discussion.
Contact our team