Sigmalion
Our Work

Real projects. Real results.

Every metric is tied to a real engagement. Most clients operate under NDA — we share what we can.

ConfidentialCrisis RecoveryFullstackScale-upEnterprise Software · Global · Multi-region enterprise

Global Enterprise Crisis-Management: 7-Year Strategic Partnership

The client engaged Sigmalion Team after a mission-critical enterprise platform encountered significant architectural and delivery challenges following initial development. Our team stabilized the codebase, delivered a functional MVP within approximately 30 days, and remained the primary technical partner for over seven years — supporting enterprise-scale deployment across multiple global regions.

7+ yrs
strategic partnership
+24
enterprise clients onboarded
<300
production tools shipped, actively used in workflows
ConfidentialAI/MLFullstackPublic Safety & Security · Multi-city deployment (confidential) · City-scale (100+ camera network)

AI-powered Smart City video analytics for government and private security

The client required a scalable video analytics platform capable of processing real-time streams from 100+ cameras across city infrastructure for public safety applications. Initial technical challenges — including hardware heterogeneity and recognition accuracy gaps — required purpose-built engineering solutions. Sigmalion designed and deployed an end-to-end Intelligent Video Analytics system, integrating AI-driven license plate recognition, real-time alerting, and a human-in-the-loop validation workflow. The platform successfully scaled from a local pilot to city-wide deployment.

100+
concurrent camera streams in production deployment
~99%
validation accuracy during pilot deployment, with HITL
city-scale
from local pilot
ConfidentialCrisis RecoveryAI/MLFullstackAutomotive (Enterprise) · Regional EMEA · Enterprise / regional market leader

Enterprise automotive marketplace

The client engaged Sigmalion after 10 months of prior development left a regional automotive marketplace and Dealer Management System in an unstable, unmaintainable state. Our team conducted a comprehensive architecture review, stabilized critical modules, and rebuilt the platform foundation using modern tooling and AI-governed engineering standards. The result was a production-ready enterprise system delivered approximately two months ahead of the revised delivery schedule.

~93%
passed of acceptance criteria
−2 mo
ahead of revised delivery schedule
−40%
project budget reduction

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