Year in Review and Looking to 2022 | 2022-01-13 | Press Releases

SAN JOSE, CA, Jan. 13, 2022 (GLOBE NEWSWIRE) — by way of NewMediaWire – Sonasoft Corp. (OTCQB: SSFT), creators of the modern Sonasoft AI Bot Runtime Engine, SAIBRE, closed out 2021 in a robust place. Highlights embody great progress in creating SAIBRE, a brand new strategic partnership, and a renewed give attention to end-to-end AI initiatives. Taken collectively, this ensures that corporations who have interaction Sonasoft will obtain a profitable AI transformation, from knowledge exploration and knowledge science, by to supply of a productionized AI answer. Sonasoft finds itself in a fantastic place for 2022, prepared to ship new OEM partnerships that can assist different corporations overcome the difficult situations created by COVID.
SAIBRE Platform
2021 noticed the announcement of SAIBRE, Sonasoft’s newly developed AI engine. SAIBRE cements Sonasoft’s place as a pioneer in AI platform expertise, delivering fast, enterprise-grade manufacturing AI bots centered on massive, world OEM companions. This new AI engine has been developed from the bottom up and focuses on fast iterations and experimentation, enabling sooner improvement and deployment of AI bots. This is backed up with a zero-effort AI strategy that simplifies the scaling, monitoring and upkeep of those bots in manufacturing. “SAIBRE is ideal for groups that don’t need to make investments in constructing million greenback knowledge science groups however nonetheless need to leverage AI transformation,” stated Mike Khanna, Sonasoft’s CEO. “These groups can outsource their AI initiatives, letting Sonasoft deal with the end-to-end creation of their AI bots from ideation to manufacturing and past. This ensures they will remove their AI debt fully.”
One of the important thing goals with SAIBRE has been to develop a UI that’s clear, environment friendly, and versatile. SAIBRE encourages collaboration inside and between groups to discover the absolute best AI answer for a given dataset. Datasets will be constructed by combining knowledge from a number of sources. Every dataset can then be leveraged for various use instances and a number of approaches to fixing these use instances. AI bots are constructed in an inherently logical style, bolting collectively completely different items to create a full workflow. Once you’re proud of the outcomes, deploying the bot simply takes a few clicks. At the identical time, the SAIBRE UI permits extra technical customers to seize their insights into easy constructing blocks that may be leveraged by all customers. As SAIBRE continues to develop, there shall be a robust give attention to simplicity, group collaboration, and even gamification.
New Partnership
In the autumn of 2021, Sonasoft elevated their roster of strategic companions by signing a brand new OEM partnership with Information Visibility Technology (IVT), a pioneer in healthcare IT options. IVT will leverage SAIBRE to uncover key enterprise insights and intelligence. IVT and Sonasoft will initially collaborate on deploying two AI bots designed to tackle the inflexibility and old style strategy to enterprise usually discovered in the healthcare market. The first of those is a list administration bot for provide and demand forecasting. This is one thing taken as a right in many industries, however healthcare is lagging far behind. The second is a dynamic pricing bot, permitting a transfer away from old style contract pricing, which dominates as we speak’s healthcare business.
Avoiding Common AI Pitfalls
In 2019, VentureBeatAI reported that 87% of AI initiatives by no means make it to manufacturing ( There are quite a few causes, together with:

The introduction of bias due to preconceived concepts throughout the improvement group.
Data high quality points arising from poor knowledge science and insufficient knowledge exploration.
A failure to give attention to creating end-to-end AI options that may really be deployed in manufacturing.

One of Sonasoft’s key focuses over the previous 12 months has been to tackle these points head on. This initiative is being led by Caroline Zaborowski, promoted to Chief Data Officer in 2021. Key components embody:
Data-driven discovery. AI initiatives are solely ever pretty much as good because the uncooked knowledge they’re constructed with. Sonasoft takes a rigorous strategy to data-driven discovery in any new AI challenge. The shopper is requested for his or her high-level enterprise intelligence and theories. But Sonasoft’s knowledge science group validates that the info helps their suppositions. Allowing the info to be the ultimate arbiter mitigates towards any potential bias that could be injected into AI exploration. Caroline sums this up greatest, “The success of an AI initiative is in no approach contingent on earlier expertise in the identical business and even use case. Success requires a group with the flexibility to use restricted area understanding to conduct an goal, unbiased exploration.”
Data is king. Many AI initiatives fail due to errors made throughout knowledge exploration and function engineering. All too usually, folks skip this very important step and go straight to creating new neural networks or different AI fashions. But this can be a sure-fire recipe for failure. Other occasions, corporations over-engineer the info, permitting important bias to creep in thanks to the group’s pre-conceptions in regards to the anticipated consequence. By distinction, Sonasoft takes an iterative and consultative strategy. This ensures the standard of the info and ensures that the ensuing AI bot is unbiased and strong.
AI is an end-to-end downside. Possibly the most important downside for corporations creating AI options is their failure to work out how the outcomes shall be deployed. All too usually, the group creating the AI answer focuses on creating an ideal mannequin on the expense of constructing it deployable. However good the AI mannequin, it’s nugatory if it can’t be deployed in manufacturing. Sonasoft has a extra pragmatic strategy. As Caroline says, “At Sonsoft, we spend time understanding what the enterprise necessities are, speaking what choices can be found given the requirement and then use the suggestions from the shopper to make the suitable selections. This features a frank open dialogue about threat. Risk mitigation usually comes at the price of some stage of success which is way extra palatable.”
Looking forward to 2022
2022 is about to be the yr when AI debt actually begins to hit corporations. This rising downside sees many corporations shedding out to rivals who’re in a position to steal extra and extra of the market thanks to AI. But when corporations attempt to remedy this downside naively, they will find yourself losing cash on AI options that don’t ship and really worsen the AI debt downside. But with SAIBRE, Sonasoft has ushered in the period of zero-effort AI. That means zero-effort knowledge science, thanks to our main group of consultants. Zero-effort deployments on Sonasoft’s infrastructure, so there isn’t any influence on engineering groups. And zero-effort upkeep, thanks to superior monitoring, customizable dashboards, and one-click retraining. “I proceed to be excited in regards to the prospects created by our SAIBRE platform,” says Max Lee, Sonasoft’s VP of Engineering. “We are always striving to simplify the creation of AI pipelines and knowledge evaluation, each for ourselves and for others as SAIBRE expands into the long run.” Ultimately, Sonasoft’s purpose is to enable corporations of any dimension to remove their AI debt and reap the advantages of profitable AI deployments.

Sonasoft was based in Silicon Valley in 2003. For extra details about the corporate, please go to:
Sonasoft SAIBRE is an end-to-end AI platform that may generate, monitor, and keep AI bots. For extra particulars, see
For investor-specific info, please go to:

Investor Contact:
Mike Khanna, CEO Sonasoft Corporation
Phone: (408) 708-4000 X7104
Forward-looking Statements
This launch comprises statements that represent forward-looking statements. These statements seem in a variety of locations in this launch and embody all statements that aren’t statements of historic reality relating to the intent, perception or present expectations of the Company, its administrators or its officers with respect to, amongst different issues: (i) the Company’s financing plans; (ii) developments affecting the Company’s monetary situation or outcomes of operations; (iii) the Company’s progress technique and working technique; and (iv) the declaration and cost of dividends. The phrases “could,” “would,” “will,” “anticipate,” “estimate,” “anticipate,” “consider,” “intend,” and related expressions and variations thereof are supposed to establish forward-looking statements. Investors are cautioned that any such forward-looking statements aren’t ensures of future efficiency and contain dangers and uncertainties, a lot of that are past the Company’s potential to management and that precise outcomes could differ materially from these projected in the forward-looking statements on account of numerous elements.

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