Build ChatGPT Apps with Our Trained Experts

We have been building Machine Learning applications since 2016 - but this is different. ChatGPT changes everything. We are already working with clients building applications using OpenAI. Experience matters - and we have the team to help you.

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We build Chat-GPT and OpenAI models in 30 days for real business solutions.

You have a business objective, and our job is to get you closer to that goal in 30 days. Build with confidence with our in-house experts who use college-taught methods and rapid prototyping to achieve real world solutions - used by 100,000s of customers.

Parse and Prepare Dataset

Most NLP models requires business IP to enhance the model and perform for a specific use case.

Experimentation and Refining

Let our data scientists begin to test algorithms and college trained methodologies to obtain your business objective.

Human in the Loop

Include a human to supervise the results and inform the machine of proper answers. This helps train the model for real user testing.

ChatGPT Will Transform Your Business. You Need An Expert Now.

Every data scientists has worked on Natural Language Processing models. Chat-GPT is not new technology to them - it is just a different tool. You want speed? You want efficiency? And you want someone that can change your business in less time - not experiment.

Hiring someone with chatbot skills is required to change your business.
Do not do this alone.. We are ready to help.
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WHY US

NineTwoThree knows
AI & Machine Learning

And we apply everything using startup mentality to get the biggest returns for your precious $$$.

Vendor Agnostic

We’re not tied to any providers. We’ll only recommend AI services & tech that’s right
for your business.

Industry Agnostic

Years of experience, across several industries, including Health Care, FinTech, Logistics & Supply Chain.

In-House Skills

Got a team of data scientists, researchers, engineers and computer scientists that know what the hell they’re doing

Big Picture

More than just AI. Our software analysts, engineers & project managers will build your entire solution for your entire business.

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Employee Pre-Interview Chatbot

We built a semantic search engine for a large United States Human Resource company to interview candidates using trained models to determine qualifications and culture fit.

HR ChatBot

Chat-GPT Therapists

A mental health provider in the United States wanted to know if GPT-3 could be used to communicate with patients before they spoke with a therapist. Our Data Scientist created a model that was considered equivalent to human therapy.

Chat-GPT Therapy

Ready to build smart systems
for your biz?

You might not need to predict traffic, suggest shows or match lovers.
But we’re sure you want to use computers + data to improve your business.

Use data wisely

Get every last ounce
of every last bit of your precious data

Guess less

Make business decisions based more on data & lesson opinions

Systemize more

Have automated solutions that adjust real-time based on users’ need & wants

Personalize
experiences

Deliver features that are personalized & optimized for each customer

Simplify complexity

Use computers to quickly figure things out that’s too complicated for humans

Work faster

Convert slow manual processes into efficient automated ones

DataFlik

Real Estate Revolution

Dataflik helps real estate investors improve their business marketing operations. NineTwoThree built the machine learning model that generates prioritized lists of motivated sellers faster and more accurately than a human expert.

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DataFlik
Real Estate Revolution
Dorel

Smart Baby Monitor

Dorel pioneered the segment with a baby camera that sensed the heartbeat and breathing. We made an App that parents loved. (The 2016 version, not the one on the store now.)

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Dorel
Smart Baby Monitor
Hydrofinity

Laundry Revolution

Hydrofinity provides cleaner, softer linens in a single wash, while reducing utilities costs and improving customer satisfaction - NineTwoThree built a CES Award Winning Application for best innovation in 2018.

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Hydrofinity
Laundry Revolution
Videosnap

Video in a Snap

Videosnap creates social media content with overlaid text extracted from just an audio file. We innovated the process in less than three months and created an MVP that raised.

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Videosnap
Video in a Snap

Meet Your Data Scientists

We currently have 6 highly trained engineers.

Data Scientist

Oleksandr

Senior level solution architect with a vast history of Machine Learning projects. Most notably, Oleksandr implemented a model that allows EV station owners to predict which stations were available to charge the vehicles. This was a massive undertaking that operates the largest EV market in Europe.
8 Years Experience with NineTwoThree

CERTIFICATIONS
AWS Certified Solutions Architect
Machine Learning with TensorFlow Google Certified
Google Data Analytics Professional Certificate
AWS Certified Clout Practitioner
Master in Computer Science, with MBA

Data Scientist

Yuri

Senior Level Data Scientists with world renowned results for NLP models in both the Human Resource hiring process for a major USA company and replicating therapists - scoring equivalent to humans using GPT-3. Also supported the EV charger station project for the US market.

4 Years Experience with NineTwoThree
Machine Learning Neural Networks Certificate
• Improving Deep Neural Networks Certificate
• Convolutional Neural Networks Certificate
• Natural Language Processing with Vectors Spaces (Deeplearning.ai)
• Statistical Inference from John Hopkins University

Data Scientist

Vova

Skilled Data Scientist with 4-years experience in computer vision, clustering analysis, object detection and tabular data classification. Also well acquainted with classification, decision trees, data pre-processing, cleaning, as well as neural networks.

4 Years Experience with NineTwoThree
MLOps Professional Training Program
• AWS Cloud Practitioner
• Computer Vision and Artificial Intelligence from Abto
• Natural Language Processing with Vectors Spaces (Deeplearning.ai)
• Statistical Inference from John Hopkins University

Data Scientist

Viacheslav

Skilled Data Scientist with experience in computer vision, clustering analysis, object detection and tabular data classification. Built out a prediction model for 3d CT scans to predict the lungs capacity to detect pulmonary fibrosis for a major medical research company in Sweden.

2 Years Experience with NineTwoThree
Deep Learning DeepMind Certified Course
• CNN DeepMind Course Certification

Accelerated AI
Innovation Playbook

1
Discover

Discovery Call

We’ll jump on the call. Yes, Andrew and Pave - the founders. Not some sales rep.

Tell us everything about your vision, the company, your ambitions and your target audience.  

We aim to make CEOs and CTOs look like heroes to their customers.  We excel at helping companies solve complex engineering problems that result in world class mobile and web applications.

Try us out, it's free to contact us - we love ideating.

Contact Andrew
2
Define

Meet & Plan

We will introduce you to a few data scientist that will work on your business objectives. We typically will ask for a small subset of data and a copy of how your data is stored. (Don’t worry we sign NDA’s too.)

Once we get an understanding of your business objective, NIneTwoThree will present the 30-day prototype plan and delivery milestones along the way.

With Machine Learning, not everything is a success. Experimentation will happen - but our goal is to gain your confidence that we can produce a result that will amaze your co-workers. (We seem to have that effect)

3
DESIGN

Landscaping

Once the engagement begins our team will conduct an entire scan of the technologies available to use for the mission. This could include Chat-GPT or Open-AI or a legacy NLP  or even humans. Experience here matters, and being able to use the scientific method to create hypothesis is the critical outcome of this step.

4
Produce

Rapid Prototyping

Using a subset of your data and one of the selected algorithms the data scientist will create a series of experiments to prove the best AI choice for your business needs. This includes talking to domain experts, adding additional context, or simply learning from what “doesn’t” work for your business needs.

We predicted which houses would be sold in Ohio better than Zillow.

5
Results

Project Roadmap

The result of our accelerated innovation AI playbook is a clear development plan. The roadmap will include the recommended approach from the experimentation above and provide you with the necessary information to decide how much profit ML & AI will generate for your business.

Every project we have built so far (over 15) has created more profit for the company than the bill paid to NineTwoThree. From German railroads, to Electric Vehicle charging stations - we work on massive datasets that provide real world solutions to business challenges.

Contact Us Today

Contact Andrew

What Are The Advantages Of ChatGPT3 For Businesses?

ChatGPT3 and OpenAI are the latest rages on the internet, but the reality is this type of technology has existed for years - and it’s never too late for businesses to reap the advantages.

ChatGPT-3 a language generation model developed by OpenAI, is capable of generating human-like text given a prompt. It is the third iteration of the GPT-n series, which stands for "Generative Pre-trained Transformer". GPT-3 is trained on a massive amount of data and can perform a wide range of natural language tasks such as translation, summarization, question answering, and text completion. 

It is currently one of the largest language models available - and you need artificial intelligence experts to implement it into your current business technologies.

What is Artificial Intelligence In ChatGPT3?

The role of artificial intelligence in ChatGPT-3 is to generate human-like text based on the input it receives. This is done by using a variety of machine-learning techniques, such as neural networks and natural language processing.

The model is pre-trained on a large dataset of text, allowing it to learn patterns and relationships within the data. When given a prompt or a starting text, the model uses this pre-trained knowledge to generate new text that is similar in style and content to the input it was trained on.

The model uses a deep learning algorithm called a transformer, which is designed to process sequential data such as text. The transformer's architecture allows the model to understand the context of the input, and generate text that is coherent and appropriate in the context.

In summary, ChatGPT-3 is a sophisticated AI-based model that uses machine learning and natural language processing to generate human-like text based on the input it receives.

What Can You Do With ChatGPT3

ChatGPT-3 has several advantages for businesses, including:

  1. Natural language understanding: ChatGPT-3 has the ability to understand and respond to human language, making it useful for tasks such as customer service and chatbots.
  2. Personalization: ChatGPT-3 can be fine-tuned for specific industries and applications, allowing for more personalized responses and better customer experiences.
  3. Scalability: ChatGPT-3 can handle a large volume of requests, making it well-suited for businesses with high-traffic websites or apps.
  4. Cost-effective: ChatGPT-3 can automate many tasks that would otherwise require human labor, potentially reducing costs for businesses.
  5. Improved customer engagement: ChatGPT-3 can help businesses to engage customers more effectively by providing quick, accurate, and personalized responses to customer inquiries.

How is ChatGPT3 Already Being Used In Businesses?

As mentioned before, many businesses are already implementing this technology to their own benefit:

In customer service, ChatGPT-3 is being used to power chatbots and virtual assistants that can handle customer inquiries and provide support. It’s also largely being used for content generation: ChatGPT-3 is being used to generate high-quality, unique content for businesses, including product descriptions, blog posts, and email marketing campaigns. This connects to the ability it has to do language translation. ChatGPT-3 is being used to perform machine translation, which can be used to translate customer inquiries, product descriptions, and other business-related content.

Sales and marketing are perhaps the most exciting applications for businesses thus far. ChatGPT-3 is being used to generate personalized product recommendations, create customer profiles, and support lead generation. It’s also being used to analyze data, including customer feedback and sales data, to identify trends and make more informed business decisions.

And this only scratches the surface of what is possible with this technology - more use cases are being developed as you read this.

Why is ChatGPT3 Right For Your Business?

There are many advantages to introducing ChatGPT3 to your business, from content generation to virtual assistance and much more.

ChatGPT-3 can be used to generate high-quality, unique content for websites, blogs, and social media platforms. This can save businesses time and resources that would otherwise be spent on manual writing and editing. 

ChatGPT-3 can also be used to power chatbots and virtual assistants, allowing businesses to provide quick and accurate responses to customer inquiries. In the same breath, ChatGPT-3 can be used to translate text from one language to another, which can be useful for businesses that operate in multiple countries or that have a multilingual customer base.

In terms of email and document generation, the model can be used to generate automated emails, reports, and other documents, which can save businesses time and increase efficiency. GPT-3 can also be used for summarizing long documents, articles and reports which is useful for businesses that need to read and understand large amounts of data quickly.

Overall, ChatGPT-3 can help businesses automate and streamline various natural language processing tasks, saving time and resources while improving overall user experience.

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FAQ About ChatGPT3 Solutions

1.  What is ChatGPT?

ChatGPT (short for "Conversational Generative Pre-trained Transformer") is a language generation model developed by OpenAI that is similar to GPT-3 but designed specifically for conversational applications.

2. How powerful is ChatGPT?

One of the key strengths of ChatGPT is its ability to understand and interpret natural language inputs, which allows it to generate relevant and contextually appropriate responses. Additionally, its pre-training on a large dataset enables it to generate high-quality, unique content that is difficult to distinguish from text written by a human.

3. What can GPT-3 do?

GPT-3 (Generative Pre-trained Transformer 3) is a powerful language generation model developed by OpenAI that can perform a wide range of natural language processing tasks. GPT-3 can complete sentences, paragraphs, and even documents given an initial text, which can be useful for a variety of powerful tasks.
GPT-3 is also capable of generating captions for images which can be useful for several applications like creating alternative text for accessibility and also for image search.

4. Will GPT-3 be free?

Access to the GPT-3 API is provided on a pay-per-use model, where the cost of usage is based on the number of requests made to the API and the amount of data processed. The cost varies depending on the plan and the usage level of the customer. OpenAI also provides a free plan for developers and researchers, but with limited access and usage.

5. How accurate is GPT-3?

It's important to note that ChatGPT, like all AI models, is not perfect and may make errors or produce nonsensical outputs when faced with inputs it has not seen before. But, with the ability of fine-tuning and customization, ChatGPT can be adapted to specific tasks and domains, which can improve its performance.