Rob Clark is the President and Chief Know-how Officer (CTO) of Seekr. Rob has over 20 years of expertise in software program engineering, product administration, operations, and the event of modern synthetic intelligence and web-scale applied sciences. Earlier than becoming a member of Seekr, he led a number of synthetic intelligence and search options for a few of the world’s largest telecommunications, publishing, and e-commerce firms.
Seekr a synthetic intelligence firm, creates reliable massive language fashions (LLMs) that establish, rating, and generate dependable content material at scale.
Starting with internet search, Seekr’s ongoing innovation has produced patented applied sciences enhancing internet security and worth. Their fashions, developed with knowledgeable human enter and explainability, handle buyer wants in content material analysis, generative AI, and reliable LLM coaching and validation.
Are you able to describe the core mission of Seekr and the way it goals to distinguish itself within the aggressive AI panorama?
We based Seekr on the easy but essential precept that everybody ought to have entry to dependable, credible and reliable data – regardless of its kind or the place it exists. It doesn’t matter in case you are a web-based client or a enterprise utilizing that data to make key choices – accountable AI programs enable all of us to completely and higher perceive data, as you should guarantee what’s popping out of Generative AI is correct and dependable.
When data is unreliable it runs the entire spectrum, for instance from extra benign sensationalism to the more severe case of coordinated inauthentic behaviors supposed to mislead or affect as an alternative of inform. Seekr’s method to AI is to make sure the consumer has full transparency into the content material together with provenance, lineage and objectivity, and the flexibility to construct and leverage AI that’s clear, reliable, options explainability and has all of the guardrails so shoppers and companies alike can belief it.
Along with offering business optimized Giant Language Fashions (LLMs), Seekr has began constructing Basis Fashions differentiated by higher transparency and accuracy with lowered error and bias, together with all of the validation instruments. That is made doable by means of Seekr’s collaboration with Intel to make use of its newest technology Gaudi AI accelerators at the very best price-performance. We selected to not depend on exterior basis fashions the place the coaching information was unknown and confirmed errors and inherent bias, particularly as they’re typically skilled on in style information slightly than essentially the most credible and dependable information. We anticipate to launch these in the direction of the tip of the yr.
Our core product is named SeekrFlow, an entire end-to-end platform that trains, validates, deploys and scales reliable AI. It permits enterprises to leverage their information securely, to quickly develop AI they’ll depend on optimized for his or her business.
What are the important options of SeekrFlow, and the way does it simplify the AI growth and deployment course of for enterprises?
SeekrFlow takes a top-down, consequence first method, permitting enterprises to unravel issues utilizing AI with each operational efficiencies and new income alternatives by means of one cohesive platform. This integration contains safe information entry, automated information preparation, mannequin fine-tuning inference, guardrails, validation instruments, and scaling, eliminating the necessity for a number of disparate instruments and lowering the complexity of in-house technical expertise managing numerous points of AI growth individually.
For enterprises, customization is essential, as a one mannequin suits all method doesn’t resolve distinctive enterprise issues. SeekrFlow permits prospects to each cost-effectively leverage their enterprise information safely and align to their business’s particular wants. That is particularly essential in regulated industries like finance, healthcare and authorities.
Seekr’s AI assisted coaching method drastically reduces the associated fee, time, and wish for human supervision related to information labeling and acquisition, by synthesizing high-quality and domain-specific information utilizing domain-specific rules akin to coverage paperwork, tips, or user-provided enterprise information.
Seekr’s dedication to reliability and explainability is engrained all through SeekrFlow. No enterprise needs to deploy a mannequin to manufacturing and discover out its hallucinating, giving out flawed data or a worst-case situation akin to gifting away its services and products without spending a dime! SeekrFlow contains the instruments wanted to validate fashions for reliability, to cut back errors and to transparently enable the consumer to see what’s impacting a mannequin’s output proper again to the unique coaching information. In the identical method software program engineers and QA can scan, check and validate their code, we offer the identical capabilities for AI fashions.
That is all supplied at optimum value to enterprises. Our Intel collaboration working in Intel’s AI cloud permits Seekr the perfect price-performance that we go on to our prospects.
How does SeekrFlow handle widespread points akin to value, complexity, accuracy, and explainability in AI adoption?
Excessive worth factors and shortage of AI {hardware} are two of the most important obstacles to entry dealing with enterprises. Due to the aforementioned collaboration with Intel, Seekr circulate has entry to huge quantities of subsequent technology AI {hardware} leveraging Intel’s AI Cloud. This supplies prospects with scalable and cost-effective compute assets that may deal with large-scale AI workloads leveraging each Intel Gaudi AI accelerators and AI optimized Xeon CPUs.
It’s essential to notice that SeekrFlow is cloud supplier and platform agnostic and runs on newest technology AI chips from Intel, Nvidia and past. Our aim is to summary the complexity of the AI {hardware} and keep away from vendor lock-in, whereas nonetheless unlocking all of the distinctive worth of every of the chip’s software program, instruments and ecosystem. This contains each working within the cloud or on-premise and operated datacenters.
When constructing SeekrFlow we clearly noticed the dearth of contestability that existed in different instruments. Contestability is paramount at Seekr, as we need to make sure that the consumer has the proper to say one thing shouldn’t be correct and have a simple solution to resolve it. With different fashions and platforms, it’s typically troublesome or unknown tips on how to even right errors. Level fixes after the very fact are sometimes ineffective, for instance manipulating the enter immediate doesn’t assure the reply will likely be corrected each time or in each situation. We give the consumer all of the instruments for transparency, explainability and a easy solution to train and proper the mannequin in a clear consumer interface. From constructing on high of reliable basis fashions on the base proper by means of to easy-to-use testing and measurement instruments, SeekrFlow ensures correct outcomes that may be understood and validated. It’s important to grasp that AI guardrails aren’t simply one thing that’s good to have or to consider later – slightly, we provide prospects easy to make use of explainability and contestability instruments from the beginning of implementation.
How does the platform combine information preparation, fine-tuning, internet hosting, and inference to allow sooner experimentation and adaptation of LLMs?
SeekrFlow integrates the end-to-end AI growth course of, in a single platform. From dealing with the labeling and formatting of the information with its AI agent assisted technology method, to fine-tuning a base mannequin, all the best way to serving for inference and monitoring the fine-tuned mannequin. As well as, SeekrFlow’s explainability tooling permits AI modelers to find gaps within the information of the mannequin, perceive why errors and hallucinations happen, and straight act upon them. This built-in, end-to-end method allows fast experimentation and mannequin iterations
What different distinctive applied sciences or methodologies has Seekr developed to make sure the accuracy and reliability of its AI fashions?
Seekr has developed patented AI know-how for assessing the standard, reliability, bias, toxicity and veracity of content material, whether or not that may be a textual content, a visible, or an audio sign. This know-how supplies wealthy information and information that may be fused into any AI mannequin, within the type of coaching information, algorithms, or mannequin guardrails. Finally, Seekr’s know-how for assessing content material will be leveraged to make sure the protection, factuality, helpfulness, unbiasedness and equity of AI fashions. An instance of that is SeekrAlign, which helps manufacturers and publishers develop attain and income with accountable AI that appears on the context of content material by means of our patented Civility Scoring.
Seekr’s method to explainability ensures that AI mannequin responses are comprehensible and traceable. As AI fashions develop into concerned in choices of penalties, the necessity for AI modelers to grasp and contest mannequin choices, turns into more and more essential.
How does SeekrFlow’s precept alignment agent assist builders align AI fashions with their enterprise’s values and business laws?
SeekrFlow’s precept alignment agent is a important function that helps builders and enterprises scale back the general value of their RAG-based programs and effectively align their AI to their very own distinctive rules, values, and business laws while not having to assemble and course of structured information.
The Seekr agent makes use of superior alignment algorithms to make sure that LLMs’ conduct adheres to those distinctive and predefined requirements, intentions, guidelines, or values. Through the coaching and inference phases, the precept alignment agent guides customers by means of the whole information preparation and fine-tuning course of whereas repeatedly integrating knowledgeable enter and moral tips. This ensures that our AI fashions function inside acceptable boundaries.
By offering instruments to customise and implement these rules, SeekrFlow empowers enterprises to take care of management over their AI functions, guaranteeing that they replicate the corporate’s values and cling to authorized and business necessities. This functionality is crucial for constructing belief with prospects and stakeholders, because it demonstrates a dedication to accountable AI.
Are you able to focus on the collaboration with OneValley and the way Seekr’s know-how powers the Haystack AI platform?
OneValley is a trusted useful resource for tens of 1000’s of entrepreneurs and small to medium sized companies (SMBs) worldwide. A typical downside these leaders face is discovering the proper recommendation, services and products to begin and develop their enterprise. Seekr’s business particular LLMs energy OneValley’s newest product Haystack AI, which provides prospects entry to huge databases of accessible merchandise, their attributes, pricing, professionals and cons and extra. Haystack AI intelligently makes suggestions to customers and solutions questions, all accessible by means of an in-app chatbot.
What particular advantages does Haystack supply to startups and SMBs, and the way does Seekr’s AI improve these advantages?
Whether or not a consumer wants a quick reply to know which enterprise bank card provides the best money rewards with the bottom charges per consumer and lowest APR or to distinction and examine two CRM programs they’re contemplating as the proper resolution, Haystack AI powered by Seekr supplies them the proper solutions rapidly.
Haystack AI solutions customers’ questions quickly and in essentially the most cost-effective method. Having to attend for and ask a human to reply these questions and all of the analysis that goes into this type of course of is unmanageable for very busy enterprise leaders. Clients need correct solutions they’ll depend on quick, with out having to trawl by means of the outcomes (and sponsored hyperlinks!) of an internet search engine. Their time is finest spent working their core enterprise. It is a nice instance the place Seekr AI solves an actual enterprise want.
How does Seekr make sure that its AI options stay scalable and cost-effective for companies of all sizes?
The easy reply is to make sure scale and low value, you want a strategic collaboration for entry to compute at scale. Delivering scalable, cost-effective and dependable AI requires the wedding of best-in-class AI software program working on main technology {hardware}. Our collaboration with Intel entails a multi-year dedication for entry to an ever-growing quantity of AI {hardware}, together with upgrading by means of generations from present Gaudi 2 to Gaudi 3 in early 2025 and onwards onto the subsequent chip improvements. We positioned a wager that the perfect availability and worth of compute would come from the precise producer of the silicon, of which Intel is just one of two on this planet that produces its personal chips. This solves any points round shortage, particularly as we and our prospects scale and guarantee the very best worth efficiency that advantages the shopper.
Seekr prospects working on their very own hosted service solely pay for precise utilization. We don’t cost for GPUs sat idle. SeekrFlow has a extremely aggressive pricing mannequin in comparison with contemporaries within the house, that helps the smallest to largest deployments.
Thanks for the good interview, readers who want to be taught extra ought to go to Seekr.
