Client confidentiality means we don't publish names or figures we can't stand behind. Below are representative, anonymized engagements — real problem patterns and real approaches, described honestly rather than dressed up.
A system is only real when it runs through a power outage and comes back with its state intact.
These are composites drawn from real engagement patterns across our client base, not verbatim client records. Where we can name a client and share real figures, we will — ask us and we'll tell you which engagements that applies to.
A compliance team was spending hours per query manually searching regulatory filings and internal policy documents to answer routine questions from operations staff, with no reliable way to confirm an answer's source.
We built a retrieval layer with semantic reranking over the document set, with every answer required to cite the specific clause it was drawn from — an architectural constraint, not a disclaimer.
Query response time dropped from hours to under a minute for routine questions, with every answer traceable to source and a clear fallback to a human reviewer when confidence was low.
Existing CCTV generated more footage than anyone could review, with no way to distinguish routine loading-bay activity from after-hours incidents until a loss had already occurred.
Deployed a Boondi installation with zone-aware detection tuned to the site's actual layout and shift patterns, running on edge hardware to handle the site's unreliable grid power.
Alert volume dropped to a handful of genuinely actionable events per week, and recording continuity held through two documented power outages without gaps in the audit trail.
A merchant network processing high transaction volumes through paybill and till numbers had no reliable way to flag unusual activity — generic fraud tools weren't built around mobile-money data structures.
Deployed Syftics with anomaly detection tuned to the rhythm of the network's actual transaction patterns, surfacing flagged events with the underlying transactions attached for verification.
The finance team moved from reactive, manual review to a daily flagged-events queue, catching pattern shifts within hours instead of discovering them at month-end reconciliation.
A logistics operator's dispatch team was manually re-sequencing shipments every time a disruption hit — a delayed truck, a closed route, a power outage at a depot — with no system reasoning across the full schedule at once.
Built a multi-agent scheduling system where specialized agents each own a constraint — routing, depot capacity, driver hours — and negotiate a revised schedule when a disruption is reported.
Rescheduling that took a dispatcher 30–45 minutes by hand now resolves in under two minutes, with the full reasoning trail available for the dispatcher to override if needed.