Silwatech is backed by a team of 1000+ employees, serving clients in over 10+ industries across 9+ locations
The end client is a US-based enterprise software solutions organisation that uses Liferay Digital Experience Platform for developing and maintaining enterprise portals.
The organisation required an AI-assisted development tool that could understand Liferay architecture, retrieve relevant platform context, and generate review-ready code for Liferay DXP 7.4.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is an organisation that uses aerial imagery for remote sensing, monitoring and analytical applications where image clarity directly affects the quality of interpretation.
The organisation required a secure method for enhancing low-resolution aerial images without the expense and operational complexity of repeated high-resolution image capture or the data-control concerns associated with cloud-based processing.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a Kenya-based retail and manufacturing business serving customers through WhatsApp, Instagram and Facebook.
The organisation required an intelligent sales platform that could reduce manual work across customer enquiries, product discovery, quotations, payments and invoicing while retaining sales-team involvement in complex or high-value transactions.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a US-based automotive manufacturer with engineering teams supporting vehicle design, manufacturing and process optimisation.
The organisation manages substantial volumes of proprietary technical information, including engineering manuals, process documents, schematics and technical diagrams. This information needed to remain protected while being readily accessible to authorised employees.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is an engineering organisation operating within the construction sector. Its teams prepare electrical quantity takeoffs and cost estimates from technical construction drawings.
The organisation required a reliable method for identifying and counting electrical symbols across dense drawing sets without the time demands and error risks associated with manual tallying.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a medical diagnostic-device manufacturer developing an IoT-enabled product that captures microscope images of blood slides for laboratory analysis.
The organisation required an AI capability that could analyse raw microscopy images within the device workflow, assist laboratory technicians with cell counting and highlight potentially infected cells for review.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a travel technology company serving travel agencies, online travel agencies, tour operators, destination management companies, travel management companies and corporate travel desks.
Its customers depend on global distribution systems to create bookings, manage itineraries and perform post-booking services.
The organisation required an AI-enabled layer that would allow authorised travel professionals to work in natural language instead of relying entirely on specialist GDS command syntax.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a financial technology company providing AI-assisted credit-risk analysis solutions to lending institutions.
The organisation required a platform capable of consolidating data from multiple credit bureaus, analysing complex financial information, and producing structured reports to support faster and better-informed lending decisions.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a security and surveillance technology initiative focused on helping authorised operators and investigators extract actionable intelligence from recorded CCTV footage.
The organisation required a proof-of-concept platform capable of automatically analysing uploaded videos and making large volumes of footage searchable by object, licence plate, and natural-language description.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
The end client is a banking institution seeking to provide secure remote onboarding for new customers, including individuals with no previous in-person relationship with the bank.
The organisation required an AI-enabled identity-verification process that could reduce dependence on branch-based document checks while maintaining strong fraud-prevention, compliance, and audit controls.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
