Sikka.ai introduces Agentic AI options that democratize healthcare software program improvement and allow hyper-personalized AI utilization for observe house owners.
Sikka.ai, a number one AI Infrastructure as a Service platform for the retail healthcare business, introduced the launch of two transformative merchandise which might be reshaping how healthcare functions are constructed and deployed: SAI (Sikka Synthetic Intelligence), a revolutionary no-code platform, and AI-API Mannequin Context Protocol (MCP), a framework designed to make healthcare APIs prepared for the AI-driven future.
Reworking Healthcare Software program Growth
Historically, builders and software program firms have relied on Sikka.ai’s pre-existing API endpoints and integrations from their award-winning ONE API platform to create functions that serve retail healthcare practitioners. Whereas this strategy has enabled the creation of about 100 invaluable healthcare functions, it requires important technical experience, programming data and improvement assets, usually limiting innovation to these with in depth coding data. As well as, dentists and veterinarians usually complain that the functions are bloated, one-size-fits-all and never hyper-personalized to their wants.
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Introducing SAI: No-Code Healthcare Utility Growth
SAI represents a paradigm shift in healthcare software program improvement by democratizing the creation of hyper-targeted functions. This progressive no-code/vibe coding platform empowers each practitioners and builders to quickly construct subtle healthcare functions with out requiring any coding data, successfully lowering improvement time from weeks or months to mere days.
On the coronary heart of SAI is a customized code technology giant language mannequin (LLM) that capabilities as a digital full-stack developer, remodeling pure language descriptions into totally practical functions. The platform permits customers to explain their imaginative and prescient for a healthcare utility, and SAI routinely generates the mandatory code, consumer interface, and performance, plus full and seamless deployment into the physician’s observe.
“SAI pioneers AI-powered workflows for dental practices and builders. It presents easy operation monitoring by auto-generated apps and streamlines app design with AI, boosting effectivity,” said Xi Wang, Head of AI at Sikka.ai. “That is the way forward for dental software program—clever, automated, and productivity-focused.”
For technical customers constructing extra advanced functions, SAI presents pre-integrated Sikka APIs out of the field, permitting builders to examine the underlying code, lengthen performance, or deploy functions as-is. This hybrid strategy ensures that each technical and non-technical customers can leverage the platform’s capabilities in response to their particular wants and experience ranges.
“SAI places the transformative energy of AI within the palms of everybody—from the smallest solo practitioner to the most important DSO—empowering them to think about and construct personalised options at a pace the dental business has by no means seen,” mentioned Andrew Ross, Head of Product Administration.
Getting ready Healthcare APIs for the AI Period
Alongside SAI, Sikka.ai is introducing its AI-API Mannequin Context Protocol (MCP), a robust new framework designed to make the Sikka API ecosystem agentic-compatible and prepared for the following technology of AI functions.
“We constructed our AI-API interface with MCP to bridge the hole between conventional REST APIs and the rising wants of LLM-based brokers. Now, builders can construct sensible assistants and autonomous brokers that may speak to the Sikka API identical to a human would—however with precision and management,” mentioned Sanjay Rajak, Head of API and Know-how.
The AI-API MCP serves as an ordinary interface layer, remodeling Sikka.ai’s present API endpoints into LLM-ready instruments and intents. This transformation permits a number of key capabilities:
– Pure Language Queries: Advanced API calls can now be initiated by pure language queries, eliminating the necessity for customers to know technical API syntax.
– Multi-Step Planning: AI brokers can leverage the framework to execute advanced, multi-step workflows throughout completely different healthcare capabilities.
– Actual-Time Resolution Assist: The protocol permits the usage of real-time observe knowledge for clever resolution assist, serving to healthcare practitioners make extra knowledgeable choices.
– Broad Interoperability: The framework ensures compatibility with main LLM platforms, together with AWS Bedrock, OpenAI, and different main AI infrastructure suppliers.
This framework takes effectivity and fast deployment occasions to the following degree by enabling AI brokers to autonomously create and launch new functions in a matter of hours.
Advancing the Retail Healthcare Business
These launches characterize Sikka.ai’s dedication to advancing the retail healthcare business by progressive expertise options. By eradicating technical boundaries and enabling AI-powered functions, the corporate is empowering healthcare practitioners to deal with what they do finest—offering high quality affected person care—whereas leveraging cutting-edge expertise to streamline their operations.
“We’re within the enterprise of picks and shovels, borrowing from the previous gold rush mining analogy. Our AI infrastructure as a service, which has a number of finest in class awards, is enabling dozens of AI firms to deploy functions and now brokers utilizing our SAI-based no-code/vibe code functionality and MCP enabled AI-API v4.” mentioned Vijay Sikka, Founder & CEO. “As well as, our 20 years value of labeled knowledge from dentistry and veterinary is now enabling unbelievable AI improvements to assist optimize the retail healthcare.”
The introduction of SAI, the MCP framework and 20 years of labeled knowledge put Sikka.ai on the forefront of the healthcare expertise revolution, the place synthetic intelligence and no-code improvement are converging to create unprecedented alternatives for innovation in retail healthcare.
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