Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.

Marketing automation platform for multiple businesses (restaurants/dentist/ retail & hotels) to create marketing campaigns (email & text) and providing an option to track open rate and response rate to determine the success of the campaign. This also provides features for automating scheduled posts to different social media platforms like FB/ twitter etc. In addition to the same, this helps businesses to make automated referrals and reviews request and track progress accordingly.

Lead Generation Platform is a B2B contact discovery platform that empowers marketers to search for Ideal Customer Profiles (ICPs) using advanced filters. The platform verifies the accuracy of existing company profiles, generates look-a-like lists based on top-performing accounts, and uncovers prospect details from uploaded company lists. It prioritizes results based on a VAIS score, facilitating the efficient prioritization of company lists. The platform supports multiple subscription packages, with activities being credit-based. Key features include a detailed user dashboard, real-time support, and comprehensive tracking of credits and user activities.

The objective of the proposed application is to create a platform for asset tracking in the trucking industry that operates under a subscription-based software-as-a-service (SaaS) model. It has a mobile app for drivers that helps with dispatching pick-up and delivery locations and calculating total miles driven over a period of time covering duration and trips and a web-based interface for carriers, brokers, and the company.

The platform is integrated with a third-party hardware device that tracks various data points such as vehicle location, door opening, temperature, and humidity in real-time. The data collected by this device is sent back to cloud-based services that can be accessed via cloud-based APIs or the SDK provided by the device manufacturer.