Aigo is a cognitive AI platform that aims to achieve Artificial General Intelligence (AGI). It uses a proprietary hybrid AI architecture that combines neuro-symbolic approaches, enabling real-time incremental autonomous learning. Unlike traditional chatbots, Aigo is designed to have a "brain" and offer hyper-personalized digital assistants. It requires minimal data and boasts capabilities beyond simple conversation, including calendar management, messaging, and integration with various systems. The company emphasizes its technology's significant departure from deep learning and big data approaches, focusing on quality over quantity of data. Currently, Aigo caters to large enterprise customers seeking a dedicated, 24/7 personalized digital assistant.
• hyper-personalization
• 24/7 availability
• integration with existing systems
• contextual understanding
• natural language interaction
• interactive learning
• reasoning
• memory (short-term and long-term)
It is I-go. Like where you go, I go.
Aigo is **radically different** from the Chatbots/ Conversational AI systems currently available in the marketplace. Aigo is the **World’s First Chatbot with a Brain.** Aigo delivers **One Enterprise Brain** that becomes the foundation for all Chat applications for that enterprise Aigo brings a Core Brain to the table and delivers Enterprise Brain for the enterprise and User Brain for the end user. Aigo creates **Engaging Experiences** for customers and employees alike by offering highly intelligent and hyper-personalized digital assistants at scale for a given application in any industry. Aigo technology is a **paradigm shift** from traditional Big Data and Deep Learning (DL) approaches towards solving natural language interaction, where Aigo is part of the Third Wave of AI built on integrated Integrated Cognitive Architecture that functions more like human-mind as it continues to evolve with common sense knowledge and cognitive skills. Cognitively Aigo is **‘Light Years’ ahead** of any chatbot/ conversational AI systems in the marketplace. Aigo’s Core Brain continues to grow & evolve its common-sense knowledge about people, places, concepts about the world and application specific knowledge is provided to Aigo. Once done, Aigo is released to the users of the application where Aigo continues to learn, adapt, and grow with each user based on their usage. From capability point of view, Aigo offers functionality that is radically different from existing conversational technologies such as its ability to remember what the user said or did in prior conversations and use that contextually in all future conversations, learn user’s preferences, current context, and usage patterns—and take appropriate actions or make appropriate recommendations along the way. And over time this interactive intelligent adaptive assistant becomes increasingly personalized, powerful, and natural. The best part of it all is its consistency and availability, 24/7 on any device. With Aigo, enterprises can now offer a dedicated and hyper-personalized service for each one of their millions of customers or 1000s of employees.
Cognitive Architecture is a “…hypothesis about the fixed structures that provide a mind… and how they work together – in conjunction with knowledge and skills embodied within the architecture – to yield intelligent behavior in a diversity of complex environments.”
The [Third Wave of AI](https://www.darpa.mil/about-us/darpa-perspective-on-ai) by DARPA is designed to achieve true intelligence using [Cognitive Architecture.](https://medium.com/intuitionmachine/cognitive-architectures-ea18127a4d1d) The [Third Wave of AI](https://www.linkedin.com/pulse/third-wave-ai-peter-voss/) implements and tightly integrates short- and long-term memory, context, goals, focus, real-time learning of knowledge and cognitive skills.
Aigo compliments Chatbots and other purpose-built data-intense AI engines. Aigo works as a Meta-bot or as a Universal User interface for any application with a mastery in natural language interaction not in massive data processing or predicting or computing. So as an example, Aigo by itself is not going to predict the next best product or best price for the customer or predict the churn % instead Aigo compliments an existing predictive AI engine by becoming a natural language interface for that engine, understands and responds to the user request by taking information from the predictive engine. Aigo can be easily integrated with any existing purpose-built data-intense AI as an interface.
Aigo can help users in many ways beyond the software application it is embedded, some of these include: Calendar Management, Messaging, Lists & Notes, Reminders & Alerts, Scheduled Actions etc. Aigo has built-in integration with many systems out-of-box.
User can interact with Aigo through text or talk. Aigo can be easily embedded into existing interfaces that are used for communication and collaboration.
One common theme among Aigo’s enterprise customers is that, they all worked with many big name chatbot companies, and none of them delivered on their vision. Primary driver is to significantly reduce the cost to serve customers through a dedicated and hyper-personalized digital assistant providing 24×7 consistent service. And the secondary driver is to radically transform customer experience and increase customer engagement with your brand/ your application/ service.
Aigo is industry agnostic. Aigo is also domain agnostic. Currently, Aigo is focused only on large enterprise customers. Large enterprise customers looking to offer a dedicated and hyper-personalized digital assistant to provide consistent 24×7 service for their customers and/or employees for a given application.
CISO’s love working with Aigo. Aigo is hosted behind enterprise customer’s firewall and deeply integrated into and accessed via multiple applications within the enterprise. Data Security, Privacy, Access, and Retention are all 100% controlled by the policies of the enterprise customer
Aigo cracked the code by creating a Proprietary Hybrid AI Architecture * With No Deep Learning (One-Shot Learning, No Retraining) * With No Big Data * With No Backpropagation Overcoming the critical shortcomings of current Deep Learning systems: a) By Using Small Data (Quality vs Quantity) b) With Deep Contextual Language Understanding c) With Memory (Short-term and Long-term) d) With Reasoning e) With Interactive Learning f) With Managing Ongoing Conversations g) With Hyper-Personalization h) With Full Observability as a White-Box (no more a Black-Box) **Aigo uses a Hybrid AI Model to achieve Human-Like Cognition**
AGI/Cognitive AI Software Engineer
Aigo is a revolutionary cognitive AI platform that leverages a unique hybrid architecture to achieve human-level AGI, offering hyper-personalized digital assistants to enterprises.
Benefits:
Competitive salary
Core-team stock options
Comprehensive benefits
Remote work
Experience Requirements:
Minimum of 2 years of work experience
Other Requirements:
Strong analytical thinking and logical problem-solving skills
Experience with .NET Core/C#
Responsibilities:
Develop cognitive AGI
Tackle complex software problems
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