[vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” el_class=”innerHero” z_index=”” background_image=”25638″][vc_column][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner width=”2/3″][vc_column_text]

[/vc_column_text][/vc_column_inner][vc_column_inner el_class=”main-div3″ width=”1/3″][qode_video_box video_link=”https://www.youtube.com/watch?v=qPqF87F0NXM” video_image=”26535″][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”padding-sm stickyNav bgBlock” el_id=”section-1″][vc_column][vc_column_text css=”.vc_custom_1684569084349{padding-bottom: 50px !important;}”]

Predictive Operational Excellence

Building upon the capabilities of MicroAI AtomML, MicroAI AtomML+ provides edge-based intelligence and observability across multiple devices and machines within an IT or OT asset ecosystem. AtomML+ is a proprietary machine learning (ML) platform that aggregates data from device and machine sensors to create behavioral profiles and health scores at the group level and the individual asset level. Key Features include:

[/vc_column_text][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=”” el_id=”section-1″ css=”.vc_custom_1663395089948{padding-bottom: 50px !important;}”][vc_column_inner width=”1/2″][vc_single_image image=”28075″ img_size=”full” onclick=”link_image” qode_css_animation=””][/vc_column_inner][vc_column_inner width=”1/2″][vc_single_image image=”25917″ img_size=”full” onclick=”link_image” qode_css_animation=””][/vc_column_inner][/vc_row_inner][vc_column_text el_class=”blockListThree atom-ml-plus”]

• Agentless Intelligence

  AtomML+ is an agentless technology that collects and streams asset data from multiple endpoints into one centralized location.

• Tailored for Low-Resource Devices

  Machine learning that is designed specifically to run on devices and machines with limited memory and compute capacity such as Cortex A class MPUs. It can also run on other standard architectures, including: X86, RISC, MIPS, etc.

• Asset Ecosystem Observability

  AtomML+ has the unique ability to provide real-time performance observability into an individual machine or into large groups of assets within the IT or OT environment.

• Predictive Analytics

  Multivariate analysis is performed across large volumes of input channels to generate predictive analytics related to performance and maintenance.

• Lower Cost and Reduced Latency

  AtomML+ processes data at the edge, vs in the cloud, reducing overall data handling cost by 70 to 80% and eliminating problems associated with data latency.

[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”padding-sm” el_id=”section-2″][vc_column][vc_column_text css=”.vc_custom_1684569256518{padding-bottom: 20px !important;}”]

AtomML+ vs AtomML

AtomML is designed to be embedded into a single IT or OT asset while AtomML+ provides the inbuilt scalability to be applied to an ecosystem of assets. Comparative features and applications include:

[/vc_column_text][vc_column_text]

[/vc_column_text][vc_column_text]

[/vc_column_text][vc_column_text]

[/vc_column_text][vc_column_text]

[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_id=”#our Tech” el_class=”padding-sm max-width swirlBg”][vc_column][vc_column_text css=”.vc_custom_1697523526861{padding-bottom: 50px !important;}”]

Our Tech: Closed-Loop Asset Observability

[/vc_column_text][vc_raw_html]%3Cul%20class%3D%22tech-verticals%22%3E%0A%3Cli%20data-id%3D%22A1-tab%22%20onclick%3Dfun1%28%27A1-tab%27%29%3B%3EI%2FO%20Layer%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A2-tab%22%20onclick%3Dfun1%28%27A2-tab%27%29%3B%3EAuto%20-%20Tuning%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A3-tab%22%20onclick%3Dfun1%28%27A3-tab%27%29%3B%3EHealth%20Scores%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A4-tab%22%20onclick%3Dfun1%28%27A4-tab%27%29%3B%3EFault%20Detection%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A5-tab%22%20onclick%3Dfun1%28%27A5-tab%27%29%3B%3EAlerts%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A6-tab%22%20onclick%3Dfun1%28%27A6-tab%27%29%3B%3ERoot%20Cause%3C%2Fli%3E%0A%3Cli%20data-id%3D%22A7-tab%22%20onclick%3Dfun1%28%27A7-tab%27%29%3B%3ECorrective%20Action%20%3C%2Fli%3E%0A%3C%2Ful%3E%0A%0A%3Cdiv%20id%3D%22atomML%22%3E%0A%3Cdiv%3E%0A%3Cdiv%20class%3D%22perspective%22%3E%0A%3Cdiv%20class%3D%22cube%22%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A1-tab%27%29%3B%20class%3D%22cube--section%20A1%22%20data-id%3D%22A1-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%200px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Flayer-io.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3EI%2FO%20Layer%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A2-tab%27%29%3B%20class%3D%22cube--section%20A2%22%20data-id%3D%22A2-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-80px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Ftuning-icon.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3EAuto%20-%20Tuning%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A3-tab%27%29%3B%20class%3D%22cube--section%20A3%22%20data-id%3D%22A3-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-160px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Fmachine-score.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3EHealth%20Scores%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A4-tab%27%29%3B%20class%3D%22cube--section%20A4%22%20data-id%3D%22A4-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-240px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Ffault-icon.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3EFault%20Detection%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%20%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A5-tab%27%29%3B%20class%3D%22cube--section%20A5%22%20data-id%3D%22A5-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-320px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Falert.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3EAlerts%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A6-tab%27%29%3B%20class%3D%22cube--section%20A6%22%20data-id%3D%22A6-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-400px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Froot-cause.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3ERoot%20Cause%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20onclick%3Dfun1%28%27A7-tab%27%29%3B%20class%3D%22cube--section%20A7%22%20data-id%3D%22A7-tab%22%20style%3D%22transform%3A%20translate3d%280px%2C%200px%2C%20-480px%29%20scale%280.8%2C%200.8%29%3B%22%3E%20%20%0A%3Cdiv%20class%3D%22cube--section-top%22%20style%3D%22background-image%3A%20url%28%2Fwp-content%2Fuploads%2F2023%2F09%2Floop.svg%29%3B%22%3E%3C%2Fdiv%3E%0A%3Cdiv%20class%3D%22cube--section-left%22%3ECorrective%20Action%20%3C%2Fdiv%3E%20%0A%3Cdiv%20class%3D%22cube--section-right%22%3E%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20class%3D%22tech-stack%22%3E%0A%3Cdiv%20data-id%3D%22A1-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3EI%2FO%20Layer%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3E%3Cstrong%3ELive%20data%3C%2Fstrong%3E%20is%20leveraged%20from%20a%20variety%20of%20devices%2C%20machines%2C%20and%20networks.%20MicroAI%E2%80%99s%20technology%20is%20agnostic%20to%20sensor%20values%20and%20types%2C%20creating%20a%20multi-variant%20model%20that%20utilizes%20AI%20inference%20analysis%20to%20generate%20a%20%3Cstrong%3Ewide%20range%20of%20analytics.%3C%2Fstrong%3E%20%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A2-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3EAuto%20-%20Tuning%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3E%3Cstrong%3EFully%20automatic%20tuning%3C%2Fstrong%3E%20of%20the%20AI%20model%28s%29%20to%20be%20deployed.%20Multidimensional%20behavioral%20algorithms%20produce%20recursive%20analysis%2C%20training%2C%20and%20processing.%20This%20enables%20a%20%3Cstrong%3Econtinuous%20evolution%3C%2Fstrong%3E%20of%20the%20AI%20model%20that%20takes%20place%20directly%20on%20the%20%3Cstrong%3Eendpoint%3C%2Fstrong%3E.%20%20%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A3-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3EHealth%20Scores%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3EReal-time%2C%20on-demand%2C%20health%20scores%20provide%20%3Cstrong%3Econtinuous%20observability%3C%2Fstrong%3E%20into%20the%20health%2C%20%3Cstrong%3Eperformance%3C%2Fstrong%3E%2C%20and%20%3Cstrong%3Esecurity%3C%2Fstrong%3E%20of%20connected%20assets.%20%20Stakeholders%20and%20operators%20can%20fast-track%20health%20assessments%20and%20to%20%3Cstrong%3Eidentify%20recurring%20problems%3C%2Fstrong%3E%20based%20on%20historical%20data%20and%20predictive%20insights.%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A4-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3EFault%20Detection%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3EEmbedded%20ML%20algorithms%20learn%20the%20normal%20operating%20behavior%20of%20an%20individual%20machine%20or%20a%20group%20of%20machines.%20%3Cstrong%3EDeep%20federated%20learning%3C%2Fstrong%3E%20provides%20the%20accurate%20baselines%20required%20to%20%3Cstrong%3Erapidly%20detect%20performance%20anomalies%3C%2Fstrong%3E%20of%20any%20size%20or%20duration.%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A5-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3EAlerts%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3EThe%20embedding%20and%20training%20of%20intelligent%20workflows%20%3Cstrong%3Eautomate%20the%20process%20of%20performance%20alert%20notifications%3C%2Fstrong%3E%20to%20ensure%20accurate%20dissemination%20of%20critical%20information.%20Alert%20routines%20can%20be%20customized%20to%20accommodate%20specific%20ecosystem%20configurations%20and%20requirements.%20%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A6-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3ERoot%20Cause%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3EHigh-speed%20processing%20of%20historical%20asset%20performance%20data%20enables%20rapid%20detection%20of%20historical%20patterns%20as%20well%20as%20analysis%20of%20relationships%20between%20complex%20variables%20impacting%20the%20performance%20of%20a%20machine%20or%20machine%20group.%20%3Cstrong%3ERoot%20cause%20identification%3C%2Fstrong%3E%20accuracy%20is%20improved%2C%20leading%20to%20%3Cstrong%3Efaster%20recovery%3C%2Fstrong%3E%20and%20%3Cstrong%3Ereduced%20downtime%3C%2Fstrong%3E.%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3Cdiv%20data-id%3D%22A7-tab%22%20class%3D%22tech-stack-content%22%3E%0A%3Ch3%20class%3D%22mb-3%22%3ECorrective%20Action%20%3C%2Fh3%3E%0A%3Cp%20class%3D%22mb-4%22%3EThrough%20accurate%20identification%20of%20root%20cause%2C%20the%20algorithms%20will%20identify%20effective%20corrective%20actions%20to%20be%20implemented.%20Once%20implemented%2C%20the%20AI%20engine%20provides%20%3Cstrong%3Ereal-time%20impact%20assessments%20and%20self-tunes%20for%20maximum%20performance.%3C%2Fstrong%3E%20%3C%2Fp%3E%0A%3Ca%20class%3D%22quoteBtn%20inline%22%20href%3D%22%2Fdemo-sign-up%22%20rel%3D%22noopener%22%3ESee%20Demo%3C%2Fa%3E%0A%3C%2Fdiv%3E%0A%0A%3C%2Fdiv%3E%0A%3C%2Fdiv%3E[/vc_raw_html][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_id=”section-3″ el_class=”padding-sm bgBlock”][vc_column][vc_column_text css=”.vc_custom_1684569288664{padding-bottom: 50px !important;}”]

Centralized Optimization of IT/OT Assets

AtomML+ enables deep observability and multi-spectrum predictive analytics within complex IT and OT infrastructures. AtomML+ provides AI / ML derived actionable insights, at the machine, factory, and enterprise levels. Asset ecosystem optimization advantages that include:

[/vc_column_text][vc_column_text el_class=”blockListTwo New”]

• Centralized Data Management

  Data produced by groups of assets is managed from a centralized location. This improves the speed and reliability of data insights and actionable alerts.

• More In-Depth Health Scores

  Depending on configuration, AtomML+ can either generate health scores for each individual asset, or a single health score for the entire IT or OT asset ecosystem.

• Light and Flexible

  AtomML+ is an agentless-based platform that requires no external software processes and is less reliant on development of customized application code. AtomML+ can be deployed in a wide range of IT and OT ecosystems.

• Predictive Analytics

  Operational excellence requires not only knowledge of what is happening now, but insights into potential future developments. AtomML+ provides the deep learning that is required for true predictive analytics and insights. Moving from reactive to predictive asset management.

[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”DownloadCtaWrap”][vc_column][vc_column_text]

Unlocking the power of connected objects with Edge-native AI

Access Download

[/vc_column_text][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”padding-sm atomml-overlay” el_id=”section-4″][vc_column][vc_column_text css=”.vc_custom_1684569161894{padding-bottom: 50px !important;}”]

IT and OT Operational Excellence

Intelligence that is reliable, immediate, and cost-effective is the key to achieving new levels of operational excellence within any IT or OT environment. AtomML+ brings the latest in edge-based, agentless, AI technology to bear on operational excellence. Demonstrable benefits include:

[/vc_column_text][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner][vc_column_text el_class=”blockListicon atomlplus NewBox”]

• Improve OEE

  A 15% improvement in OEE (overall equipment effectiveness) can equate to a 17% increase in productivity. An operation producing $60M worth of products can increase their output to ~ $70M.

• Process Optimization

  Edge-based intelligent workflows that optimize the performance and efficiency of every critical process, interaction, or transaction across the IT or OT business enterprise.

• Rapid Plug and Play Deployment

  Unlike cumbersome, legacy, AI solutions, AtomML+ can be deployed and providing value with a couple of weeks as opposed to several months.

• Cost-Effective

  A centralized, holistic, cost-effective, agentless AI ecosystem that delivers ongoing optimization and intelligent governance of the entire IT or OT infrastructure

[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_id=”section-5″ el_class=”padding-sm bgBlock”][vc_column][vc_column_text css=”.vc_custom_1684575101972{padding-bottom: 50px !important;}”]

Rapid Cyber-Threat Detection

AtomML+ trains advanced security algorithms directly into the devices, machines, or processes within the IT or OT infrastructure. AtomML learns the normal state of asset behavior and provides early-stage detection of profile deviations caused by cyber intrusion. Comprehensive cyber-security that delivers:

[/vc_column_text][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=”” el_class=”atommlplusCircle”][vc_column_inner el_class=”end-to-end” width=”1/2″][vc_column_text]

• Agentless Security Enhanced cyber security that eliminates external software support systems, reduces exposure of data to peripheral functions, and centralizes the monitoring of assets.
• Customized algorithms Edge-based predictive AI and ML algorithms that learn and predict the behavior of mission-critical IT and OT assets. The ability to predict upcoming cyber events.
• Real-time alerts and reactions Edge-based security that enables quicker detection and reaction to ransomware and zero-day infections. Mitigate the spread and impact of an attack.
• Improved scalability Once security protocols have been validated on a limited number of assets, AtomML+ can be quickly scaled to include a larger number of devices and machines. This eliminates the risk associated with deployment of too large a security solution at the onset.

[/vc_column_text][/vc_column_inner][vc_column_inner el_class=”pad-icons mlplus” width=”1/2″][qode_interactive_icon_showcase border_style=”solid” autoplay_interval=”8000″ border_width=”4″ border_color=”#1e73be”][qode_interactive_icon_showcase_item icon_pack=”font_awesome” icon=”fa-sun-o” title_tag=”h5″ title=”Agentless Security” inactive_background_color=”#282c3d”][qode_interactive_icon_showcase_item icon_pack=”font_awesome” icon=”fa-500px” title_tag=”h5″ title=”Customized algorithms” inactive_background_color=”#282c3d”][qode_interactive_icon_showcase_item icon_pack=”font_awesome” icon=”fa-adn” title_tag=”h5″ title=”Real-time alerts and reactions” inactive_background_color=”#282c3d”][qode_interactive_icon_showcase_item icon_pack=”font_awesome” icon=”fa-adjust” title_tag=”h5″ title=”Improved scalability” inactive_background_color=”#282c3d”][/qode_interactive_icon_showcase][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”padding-lg” el_id=”section-6″][vc_column el_class=”resources-New”][vc_column_text css=”.vc_custom_1683615644126{padding-bottom: 50px !important;}”]

MicroAI Resources

[/vc_column_text][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner width=”1/2″][vc_column_text]

[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text]

[/vc_column_text][/vc_column_inner][/vc_row_inner][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=”” css=”.vc_custom_1694673981515{padding-top: 30px !important;}”][vc_column_inner width=”1/3″][vc_column_text]

[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/3″][vc_column_text]

[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/3″][vc_column_text]

[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” el_class=”padding-sm common-ctaWrap” z_index=””][vc_column][vc_widget_sidebar sidebar_id=”White Paper CTA” el_class=”common-cta”][/vc_column][/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern”][vc_column][vc_column_text]

[/vc_column_text][/vc_column][/vc_row]