6omb AI

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2020

Year Founded

ABOUT 6OMB AI

AI Apps & Agents for Future Focused Firms 🇺🇸

[💡 -> 🤖] Bring your AI app concepts to life with fast-paced two-week sprints, allowing you to create everything from AI web applications to advanced multi-agent intelligent systems. "6omb AI has been a crucial partner, not only meeting but surpassing our project goals!" - Mark Kashef, CEO @ Prompt Advisers 🛠️Custom AI Solutions- addressing critical projects with personalized AI strategies 🤖AI Applications- develop innovative web apps utilizing generative AI 🧠Multi-agent Intelligence- improve decision-making and operational effectiveness "I was truly impressed with how their team adapted through numerous product iterations" - Sarah Nohe, VP of Product @ REEF Recent Achievements 📌 270% boost in communication and follow-up capability for Mini-Me Bot users 📌 CoffeeGPT reduces approximately 45 hours of photo editing weekly for every 1000 images using AI "Terrell and his team excelled in their work for us, delivering a fantastic project on time and within budget" - Jess Latimer, Software Engineering Director @ Aurora [NYSE:ACB]

Tech Stack

NodeJSReact

Languages Spoken

English

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2020

Year Founded

Services

Focus

Industries

Clients

Services Provided

35% Generative AI

15% Machine Learning Model Development

30% Custom Web Application Development

20% Mobile App Development (iOS & Android)

Portfolio

AI Voice Agent - B2B Missed Call Saver

Unknown

A1 Heating & One Hour Plumbing encountered difficulties managing customer calls during busy periods, resulting in missed chances and potential income loss. To solve this issue, our team created an AI-driven voice assistant designed to effectively handle overflow and after-hours calls. This assistant collects caller details and ensures prompt follow-ups, significantly decreasing the number of missed calls. In its initial month, the system managed 81 calls that would have been overlooked, potentially saving around $20,250 in revenue according to the average service visit costs. This solution not only alleviated the problem of missed calls but also positioned A1 Heating & One Hour Plumbing to potentially save $243,000 annually. By enhancing call management without increasing customer support staff, the company can grow its operations while sustaining high service quality.

SaaS AI Chatbot Platform

Prompt Advisers

What Distinguishes It Our platform features some unique elements: - Voice AI Calling: We partnered with Bland.ai to enable voice interactions, allowing users to communicate with their bots via voice calls, which adds a personal dimension to digital conversations. - Custom Knowledge Base: Sales representatives can upload their own knowledge bases, allowing chatbots to access a specific and relevant source of information to accurately respond to inquiries. - Personalization: Each sales rep has the option to customize their chatbot to reflect their individual personality and style, aiming to make digital interactions feel as natural as talking to a friend. - Visitor Tracking: Our platform monitors website visitors and records their chat histories, effectively serving as a built-in CRM within the chatbot, which simplifies follow-ups and personalization efforts. - Secure Access: We have established a strong authentication system to ensure that only authorized sales reps can manage and access their chatbot settings. Exploring the Technology This project was not solely focused on the final product; it involved navigating through some advanced technology: - Rapid Prototyping: Our initial success was the development of a prototype that could efficiently integrate a knowledge base with a Large Language Model (LLM), allowing the chatbot to retrieve and process information effectively. - Front-End Development: Using Vercel's NextJS framework, we designed a user interface that is both intuitive and visually appealing, making interactions with the chatbot enjoyable for users. - Tech Stack: We utilized Vercel for hosting, providing us with the necessary flexibility and scalability. For the AI capabilities, we depended on OpenAI's GPT-4 for its exceptional natural language understanding and generation. The backend was supported by Postgres, with Langchain JS assisting in our interactions with the vector store, enhancing chatbot responses with relevant contextual information.

Photorealistic Personalized Images Generator

Unknown

**Cream of the Crop Features AI-Driven Personalization:** We utilized powerful AI to immerse users in enjoyable, coffee-themed experiences, like enjoying a latte on Mars! **Seamless Email Campaigns:** Through a partnership with Beehiiv, we automated weekly emails that sent these customized images directly to users' inboxes, creating great conversation starters. **Platform Integration:** Users can connect their image libraries safely via our APIs with the Conjure platform, enhancing the personalized experience. **Cloud Flexibility:** We built on Vercel and DigitalOcean to ensure CoffeeGPT could scale with its growing user base, accommodating more coffee enthusiasts effortlessly. **The Technical Grind** **Cloud Infrastructure:** We established a strong base using AWS, creating an architecture as sturdy as a double espresso. **API Magic:** Our RESTful APIs seamlessly integrated with Beehiiv for email automation and Conjure for a personal touch. **Image Innovation:** We started by developing ways to generate photorealistic images that would bring joy to users. **User Control:** We ensured users had the choice to easily opt in or out, empowering them in their CoffeeGPT experience. **Security First:** Our APIs were secured more tightly than a coffee bean silo, with comprehensive testing to ensure smooth operation. **Tech Brewed Just Right** **Cloud and Hosting:** We utilized AWS for storage, Vercel for the front-end functionality, and DigitalOcean for our Python-based backend. **AI and Images:** We combined MTCNN for face detection with Fooocus and Juggernaut XL to create those ideal coffee moments. **Development Decaf:** We employed React and Next.JS for a polished user interface, while Flask and Python handled the backend services.

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