Freight revenue intelligence
VisionChain Turns existing CCTV into a freight intelligence layer — detects under-billed freight, validates NMFC classes and recovers revenue with zero new hardware.
Problem: Carriers lose revenue when freight is misdeclared, and damage claims stall without evidence.
Built for: LTL carriers, 3PLs and freight terminals
Business automation
RFPilot AI AI for RFP analysis, proposal drafting, requirement mapping and bid response automation.
Problem: RFP responses are rebuilt from old documents under deadline, with inconsistent answers and missed requirements.
Built for: Bid, sales and proposal teams
Customer experience
ConverseIQ AI for conversation analysis, sentiment detection, intent recognition and communication insights.
Problem: Quality teams can only sample a fraction of customer conversations, so sentiment and compliance issues are found late.
Built for: Customer experience and contact-centre leaders
Engineering & operations
DocStream Engineering AI AI for document extraction, data structuring, technical file processing and content automation.
Problem: Engineering and technical files arrive as PDFs and drawings, and key data is retyped into systems by hand.
Built for: Engineering and operations teams
Retail
Retail AI Suite AI for demand forecasting, pricing optimisation, product recommendations and retail analytics.
Problem: Merchandising teams forecast and price from lagging spreadsheets, leading to stock-outs, markdowns and generic recommendations.
Built for: Retail merchandising and commercial teams
Logistics
Logistics AI AI for route optimisation, supply chain visibility, demand planning and delivery tracking.
Problem: Planners juggle routes, carrier updates and demand changes across disconnected systems.
Built for: Logistics and supply chain operators
Media
Media AI AI for content creation, audience analytics, recommendation systems and engagement optimisation.
Problem: Content teams need to produce more, for more audiences, while understanding what actually drives engagement.
Built for: Media and marketing teams
Finance
BFSI AI AI for fraud detection, risk analysis, compliance monitoring and financial customer intelligence.
Problem: Fraud, risk and compliance teams review high volumes of alerts, most of them false positives.
Built for: Banks, insurers and financial services firms
Verification
VeriKYC AI AI for identity verification, document validation, onboarding compliance and KYC workflows.
Problem: Onboarding slows down while analysts check identity documents and chase missing information.
Built for: Onboarding and compliance teams
Manufacturing
Manufacturing AI AI for predictive maintenance, quality inspection, process optimisation and production analytics.
Problem: Unplanned downtime and quality escapes are spotted after the fact, from data spread across machines and systems.
Built for: Plant and production leaders
Energy
Energy AI AI for demand forecasting, fault detection, grid optimisation and consumption intelligence.
Problem: Utilities must balance demand, detect faults early and explain consumption, from very large meter and grid datasets.
Built for: Utilities and energy operators
Automotive
Automotive AI AI for fleet insights, behaviour analytics, predictive servicing and mobility system optimisation.
Problem: Fleet and mobility operators hold rich vehicle data but service and utilisation decisions remain reactive.
Built for: Fleet, OEM and mobility teams
Healthcare
Healthcare AI AI for clinical workflows, decision support, patient engagement and health data automation.
Problem: Clinical and administrative staff spend large parts of the day on documentation and data handling.
Built for: Healthcare and life sciences organisations
Education
EdTech AI AI for personalised learning, content generation, performance tracking and student analytics.
Problem: Educators have little time to personalise learning or act on performance data for each student.
Built for: Education providers
Real estate
PropTech AI AI for property valuation, asset analysis, lead matching and real estate decision support.
Problem: Valuations, asset reviews and lead matching depend on manual research across listings and documents.
Built for: Real estate and property teams
Smart cities
CITY Bot AI for citizen query handling, service navigation, city support and urban interaction management.
Problem: Citizens struggle to find the right service, and city contact centres answer the same questions repeatedly.
Built for: Cities and public agencies
Common
TrustScreen AI AI for background verification, identity checks, data validation and risk screening workflows.
Problem: Background and identity checks are slow, manual and hard to audit.
Built for: HR, compliance and risk teams
Common
PeopleDoc AI AI for document management, record handling, workflow automation and compliance tracking.
Problem: Employee and operational records are scattered, incomplete and hard to keep compliant.
Built for: HR and operations teams
Common
TalentLens AI AI for candidate screening, profile analysis, skill matching and talent evaluation workflows.
Problem: Recruiters cannot read every application carefully for high-volume roles.
Built for: Talent acquisition teams