Ready-to-deploy AI solutions
Production technology. Your workflow.
Each solution runs on the same production platform. Deploying one means a new instance for your organisation, the workflow configured, and integration with your systems. Not a build from scratch.
Pothole detection and repair management
Road condition and pothole management
Problem: Potholes are found late, fixed slowly, and nobody can prove who fixed what or whether it came back.
What it does: Citizens and fleets report a photo with location through an app, WhatsApp or the web in their own language, and the AI validates the image and location. We match the road to its maintenance contract and notify the accountable contractor with a deadline, with repairs at the contractor's cost during the warranty period. Closure requires geotagged photos checked against the original report, the reporter receives the result, and recurrence reopens the ticket. Dashcam verification is available as a second phase.
Status: Core technology in production; pilot-ready for road authorities and industrial estates.
Deployment: A new instance, reporting site and app, workflow setup, and integration with the road contract system.
Evidence before acceptance
Visual inspection and validation
Problem: Field reports and contractor evidence are taken on trust.
What it does: We use photos to detect and verify conditions across infrastructure, assets and field work. The validation layer checks location, time and image content. Uncertain cases go to a person for review. Each check stays in an audit trail.
Status: In production as the validation layer of our platform.
Deployment: We calibrate the model on your images in the first weeks.
Consistent answers in 11 Indian languages
Multilingual service desk
Problem: Citizens, investors and customers ask the same questions every day and get different answers depending on who picks up.
What it does: We answer from your own records and procedures in 11 Indian languages on web and WhatsApp. Each answer identifies the record or rule it uses. The agent says plainly when it does not know and hands over to a person with full context. Every answer is logged.
Status: In production.
Deployment: We connect your content and records, using your channels and your branding.
Less manual checking
Document intake and extraction
Problem: Applications, invoices and forms arrive as scans and photos, in several languages, and are checked by hand.
What it does: We read incoming scans and photos. The solution extracts the fields needed for your process. It tells applicants what is missing before they travel to an office.
Status: In production for invoices and business documents.
Deployment: We configure your document types and validation rules.
Responsibility at every step
Field workflow and accountability
Problem: A report goes in, and then nothing is visible until someone complains again.
What it does: We take each report through verification and route it to the responsible party with a deadline. Closure requires checked evidence. The reporter receives a notification of the result. Recurrence analytics show repeat issues by location and responsible party.
Status: In production as the workflow engine under our solutions.
Deployment: We configure your workflow, roles and service-level agreements.
KiEo and GanitSy
AI business operations for growing businesses
Problem: Growing businesses run on spreadsheets, WhatsApp and disconnected tools.
What it does: We provide an AI-built online store or website. KiEo and GanitSy connect the storefront with daily orders, inventory, invoicing and taxation. Customer replies work in the owner's language.
Status: In production as KiEo and GanitSy.
Deployment: Sign up and get a store live in about 30 minutes.
Bring the process, not a technical specification.
Tell us what arrives, who handles it, which records matter and what counts as a completed job. We use that context to make the demo relevant.
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