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Registered on Startup India District

SNN TECHNOSOFT PRIVATE LIMITED

Bhubaneswar, Odisha

Sectors as filed: Cloud

The website is as filed on the register. We have not checked that it resolves.

Six things we look for on every record: DPIIT recognition, a CIN, a website, a description, a logo and a funding signal. Not held here: DPIIT recognised and Funding signal.

What this record amounts to

SNN TECHNOSOFT PRIVATE LIMITED is a Startup India record we can place no finer than Bhubaneswar district, which holds 3,873 records in this snapshot. It is filed under Enterprise Software, which 7,337 records carry nationally. It carries no funding signal of any class, which is true of 3,484 of the 3,873 records in Bhubaneswar.

Every figure above is counted from the 2026-08 snapshot and is the same number the page it links to prints.

In their own words

Everryn Digital plans to utilize AI technology to improve the interaction between doctors, patients, and pharmacies within the healthcare ecosystem: Improved Diagnosis and Treatment Planning: Everryn Digital will implement AI-powered diagnostic tools that leverage advanced algorithms to analyze vast amounts of patient data, including medical history, symptoms, and diagnostic tests. These tools will assist doctors in making accurate diagnoses and developing personalized treatment plans tailored to each patient's unique needs. Machine learning algorithms will be deployed to identify patterns and correlations in patient data, enabling healthcare providers to detect subtle indicators of disease and predict potential health outcomes with greater precision. This will facilitate early intervention and improve the effectiveness of treatment strategies. Enhanced Patient Engagement and Support: Everryn Digital aims to enhance patient engagement and support through the use of AI-driven chatbots and virtual assistants. These intelligent systems will provide patients with personalized health information, medication reminders, and lifestyle recommendations based on their individual health profiles and preferences. Natural language processing (NLP) algorithms will enable these chatbots to interpret patient inquiries and feedback, providing timely and accurate responses to their questions and concerns. This will help improve patient-provider communication and foster greater patient empowerment in managing their health. Streamlined Appointment Scheduling and Access to Care: Everryn Digital will leverage AI-powered scheduling systems to optimize appointment booking and allocation, taking into account factors such as patient preferences, physician availability, and urgency of care. By automating this process, the platform aims to reduce wait times and improve access to timely healthcare services for patients. Telemedicine platforms powered by AI technology will enable virtual consultations between patients and healthcare providers, eliminating geographical barriers and facilitating remote diagnosis, monitoring, and follow-up care. This will enhance patient convenience and accessibility while also improving clinical efficiency. Medication Management and Adherence: Everryn Digital plans to implement AI algorithms to analyze patient medication data, including prescription history, dosage instructions, and refill patterns. These algorithms will identify potential medication errors, adverse drug interactions, and non-adherence behaviors, allowing healthcare providers to intervene proactively and optimize medication management. AI-driven medication adherence programs will send personalized reminders, educational resources, and motivational messages to patients, encouraging them to adhere to their prescribed medication regimens. By addressing barriers to adherence, such as forgetfulness or misunderstanding of instructions, these programs aim to improve patient outcomes and reduce healthcare costs associated with medication-related complications. Optimized Pharmacy Operations and Inventory Management: Everryn Digital will leverage AI-powered predictive analytics to forecast medication demand, optimize inventory levels, and automate replenishment processes for pharmacies. By analyzing historical transaction data, customer preferences, and market trends, these algorithms will ensure pharmacies have adequate stock of essential medications while minimizing excess inventory and waste. Machine learning algorithms will also be used to analyze pharmacy transaction data and customer behavior, enabling personalized product recommendations, promotions, and pricing strategies. This will enhance the overall customer experience and drive sales by offering tailored solutions to meet individual needs and preferences.By integrating AI technology into every aspect of the healthcare ecosystem, Everryn Digital aims to empower doctors, engage patients, and optimize pharmacy operations to deliver high-quality, personalized healthcare services. Through continuous innovation and collaboration with industry stakeholders, the platform seeks to improve patient outcomes, enhance clinical efficiency, and drive operational excellence in healthcare delivery.

Written by the company on its public Startup India profile. Not verified by us.

What the record says

CIN
U72200OR2017PTC027634
Registered on Startup India
2024
Self-declared stage
Early traction
District
Bhubaneswar
State
Odisha

Where this is

District

Bhubaneswar

Odisha

Startup India records the district. We do not have a street address for this company, and we will not invent one.

No point is drawn, because we do not have one.

Geocode confidence: medium

See all Bhubaneswar records on the map How we placed this record

The neighbourhood

This record carries no locality line, so the district is the finest ring we can place it in.

What we do not know

We have no liveness signal for any company on this site: no filings feed, no revenue, no check that the website still resolves. A record existing here means a record exists, not that a business is trading.

Is this your company?

Everything here comes from public government records. If something is wrong, the authoritative place to correct it is the Startup India portal itself, and we will pick the correction up on the next monthly snapshot. To flag an error on our side, use the report link or write to trust@indianstartupmap.com.

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