Amir Haramaty is the CEO & Co-Founding father of aiOla, a platform with a mission to make speech workable and to optimize critical industry-specific processes anywhere with complete accuracy. Our patented technology is multilingual, recognizes jargon, abbreviations and acronyms, and is error-free, even in noisy settings.

Your first startup was an organization that built handheld remote control robots for bomb disposal, how did this then lead you to working on the shuttle program for NASA?

After completing my military service, I used to be motivated to make use of technology to cut back human exposure to dangerous areas. This inspiration led to the creation of the primary generation of remotely controlled robots designed for bomb disposal. The thought was that humans could operate these machines from a secure distance.

This idea then evolved to handle the necessity for minimizing human presence in various high-risk areas. It found applications in U.S. defense projects, nuclear reactors, and ultimately prolonged to NASA and the space shuttle program.

After leaving the company world you were involved in multiple startups that were then acquired by Singtel and Microsoft. What were these firms, and what do you attribute your success to?

The common theme in all my endeavors, past and present, is the concept of problem-solving. This involves identifying an issue or challenge, coming up with an revolutionary solution, constructing an exceptional team, and making a product that delivers significant value and impact for our clients.

This approach was integral to my work at Amobee, which was later acquired by Singtel, and at Adallom, which was eventually sold to Microsoft, amongst others. The identical principle is being applied in my current role at aiOla, now on a fair larger scale.

You were the Chief Business Officer of SparkBeyond for six years, are you able to discuss the AI technology that was used to seek out meaningful patterns in data?

The SparkBeyond phase was extraordinary. During this time, we became the popular AI platform for the world’s largest global management consulting firm, providing me the chance to work with quite a few Fortune 500 firms. We recognized that while the human brain is unparalleled, it is proscribed in its ability to process complex, multi-dimensional data. To beat this, we must first ask the correct questions. Consequently, we developed an ideation machine, a hypothesis-generating engine capable of manufacturing thousands and thousands of ideas and hypotheses in minutes. Although this phase was remarkable, it brought me to the conclusion that a distinct approach was obligatory to completely utilize AI’s potential for traditional enterprises. This insight led to the founding of aiOla.

Could you share some details on the founding of aiOla?

With all due respect to AI and ML, while they’re incredible, they’re ultimately just tools. The method begins and ends with data, and the well-known secret is that the vast majority of data stays untapped, primarily since it is unstructured and uncaptured. Probably the most difficult challenge inside data is spoken data, or speech. Current Automatic Speech Recognition (ASR) solutions are simply inadequate when it comes to accuracy, accent recognition, acoustic environment adaptation, and most critically, understanding business or industrial jargon. We realized the necessity for a novel approach and have developed our proprietary and patented technology that mixes ASR with Natural Language Understanding (NLU). This technology features unique and inventive solutions for jargon recognition and keyword spotting.

aiOla’s vision is nothing wanting a transformational shift in the way in which we perceive and interact with AI, are you able to share some details regarding this vision?

While we appreciate the concept of disruption, we recognized that nobody likes to be disrupted. Subsequently, we selected to adopt a complementary and non-threatening approach. This approach respects existing processes and workflows. As an alternative of disrupting them, we decided to boost and augment them using our unique, speech-based, AI-powered technology.

aiOla is a tool that’s in a position to understand the jargon and acronyms which might be specific to individual industries. Are you able to discuss how that is achieved on the backend and why it’s so essential?

One other fundamental principle of aiOla and our vision is to “play nice.” We aim to enrich and seamlessly integrate with any existing technology, whatever the cloud platform, and with any ERP or CRM system. aiOla generates unique data that was previously uncaptured and unstructured, which now becomes the raw material for AI modeling. This modeling enables insights beyond what the human eye can see and what the human brain can process.

Could you elaborate on what aiOla’s proprietary and patented technology is that mixes natural language understanding (NLU) and automatic speech recognition (ASR)?

aiOla is founded on three key elements:

1. We address jargon across various processes, industries, and languages. Our approach is tailored to grasp industry-specific terminologies, ensuring effective communication and data processing whatever the language used.
2. Our proprietary technology for keyword spotting effectively separates relevant information (the signal) from irrelevant data (the noise). This technology focuses on identifying essentially the most crucial elements in every process.
3. With due respect to Large Language Models (LLMs), now we have developed a novel method that utilizes a small set of client data, whether paper-based or digital, to rapidly create a highly accurate, domain-specific language model applicable to each industry and language. Essentially, now we have transitioned from the concept of LLMs to Domain Language Models (DLMs), offering more specialized and effective language processing solutions.

What can be an example of how this technology is applied?

The fantastic thing about our approach lies in the flexibility of our technology, which might be applied to essentially the most traditional enterprises across various sectors and verticals. For example, within the food manufacturing industry, now we have halved the time required for pre-operation inspections. In fleet management, now we have streamlined processes to take lower than a minute, a task that previously took over quarter-hour. Moreover, our technology is effectively utilized in warehouse operations, pharmaceuticals, hospitality, retail, and more.

Is there anything that you want to to share about aiOla?

aiOla is a value-based solution. At present, a combination of geopolitical and macroeconomic aspects is compelling organizations to differentiate clearly between “nice to have” and “will need to have.” These organizations are concentrating on easy methods to achieve more with less, enhance efficiency, increase safety, work smarter, and foster collaboration. Most significantly, they’re focused on demonstrating quantifiable value and return on investment (ROI). That is precisely what we aim to perform at aiOla daily, across all industries.