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Greater Noida, Uttar Pradesh, India
10-49
2019
Noseberry is our growth partner in AI, DATA Claude. founded in 2019.
Noseberry positions itself deliberately as a specialist rather than a jack-of-all-trades agency. The firm's core belief is that meaningful results come from depth, not breadth for its own sake. Its work is organized around three tightly integrated disciplines that compound on one another: AI that delivers real outcomes, data it can trust, and the cloud it runs on. Because these three capabilities are owned end to end by one team, clients avoid the friction, finger-pointing, and lost context that plague multi-vendor arrangements.
This philosophy shows up in how projects are staffed. The people who scope a project are the people who build it. There is no bait-and-switch where a polished sales team wins the work and then hands it off to a junior bench. Senior engineers are involved throughout, which means the technical decisions made early on are the same ones carried through to delivery. For clients, this translates into fewer surprises, cleaner architecture, and software that behaves the way it was promised to behave.
Custom AI Solutions
At the heart of Noseberry's offering is custom artificial intelligence built for a specific job rather than for a demo. The team designs and deploys generative and agentic AI systems, large language model applications, and machine learning models that are engineered around a client's actual workflows and measured by outcomes, not novelty. This is a crucial distinction in a market crowded with impressive proofs of concept that never make it into production.
Data Engineering and Analytics
No AI system is better than the data beneath it, and Noseberry treats data engineering as a first-class discipline rather than an afterthought. The team builds pipelines, data warehouses, lakehouses, streaming systems, and governance frameworks that turn scattered, unreliable data into a trustworthy foundation for both models and decisions. Reliability and governance are built in from day one rather than bolted on later, which is what allows the AI and analytics layers above them to be dependable.
Cloud and DevOps
The third pillar of Noseberry's core offering is cloud and DevOps, the resilient backbone that production AI and modern products run on.
$1,000
2026
6 months
Challenge
As Fllat.com expanded, its existing tools became inadequate. The company’s website was initially limited to showcasing available rooms, lacking any operational backend. Disjointed Processes Manual Workload Limited Tenant Experience Scaling Difficulties
Solution
We delivered a suite of interconnected modules designed to cover the entire tenant lifecycle and property management process. Some of the key features of Fllat.com’s new platform are: Custom Booking Module Tenant Management Payment & Billing ModuleMove-In/Move-Out Workflow Document Verification Module Tenant Self-Service Portal Maintenance & Ticketing System Cash Flow & Financial Reports Website Content Management User Access Management
Result
Implementing the custom platform has transformed Fllat.com’s operations and delivered significant business benefits. By unifying processes and introducing automation, the solution resolved the client’s pain points and created new growth opportunities. Below are some of the notable impacts (using illustrative metrics that Fllat.com can replace with real data)
$600
2025
6 months
Challenge
Building the Dominant Organic Co-living Presence Across a Multi-City Canadian Market Challenge 1 – City-Level Fragmentation Across 6+ Canadian Markets Challenge 2 – Homepage Trapped at Position 58 Despite High Impression Volume Challenge 3 – Two Content Types Needed: Location Pages + Educational Content Challenge 4 – International Traffic Leakage From China
Solution
Three parallel SEO workstreams built Harrington Housing’s organic dominance across Canada in 6 months. Workstream 1 – Canadian City Location Architecture City pages delivered and ranking: Workstream 2 – Blog Content Strategy for Student Acquisition Workstream 3 – Homepage Authority Building
Result
Measured results – July to December 2025. All data sourced directly from Google Analytics 4 and Google Search Console.
$500
2026
3 months
Challenge
The project involved navigating complexity across compliance, user experience, and system integration. Key challenges included: Strict regulatory compliance requirements Complex multi-step onboarding journey Diverse user demographics Device and performance variability Sensitive insurance data handling
Solution
The solution was designed as a compliance-first, UX-led digital onboarding system, combining structured user flows, secure backend architecture, and automated policy issuance. User Journey & Experience Design Plan Selection Personal Details & Health Questionnaire KYC Document Upload Payment Processing Consent Capture & Digital Agreement Policy Issuance & Confirmation
Result
Key outcomes included: Reduced friction across a complex, multi-step onboarding journey Improved customer clarity and confidence during policy purchase Strong compliance alignment with Axis Bank’s sub-zero framework Faster onboarding through automation and backend integration





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