AI software for medical documentation and coding workflows.
Alliraffe is building AI software for medical documentation and coding workflows. MedScript AI is our main product, while SomniSense is a separate research project.
View our solutions →What we are engineering.
AI software products being developed for medical documentation, coding and related workflows.
A lineup centered on clinical responsibility.
Each application targets a distinct workflow, yet adheres to a core principle: AI assists; the human expert reviews and finalizes.
Example dashboard showing coding review, evidence linkage and reviewer activity.
Example performance view for product demonstration.
Sample interface · figures shown for demonstration.
SomniSense explores analysis of multimodal sleep-study signals such as airflow, oximetry and actigraphy.
Progression depends on technical validation, clinical evidence, data rights and regulatory review.
MedScript AI
MedScript AI supports clinical coding with contextual suggestions linked to source evidence, mandatory professional review and a traceable record of decisions.
SomniSense
SomniSense explores clinician-supervised review of multimodal sleep-study signals and information, keeping qualified professionals in control.
Learn more →Advancement depends on technical verification, clinical proof, data permissions, regulatory reviews, and market readiness.
In the medical field, providing an answer without its context is insufficient.
Clinical applications must demonstrate the origin of each recommendation, safeguard human reasoning, and generate a transparent history of the workflow.
EVIDENCE LINKED — HUMAN REVIEW — AUDIT TRAIL
Alliraffe plans to use cloud infrastructure for model development, application hosting, testing and deployment. The final infrastructure configuration will depend on product and data requirements.
Transparent evidence
Each recommendation links directly to the medical context that backs it up.
Human supervision
The specialist validates, amends, or dismisses prior to any ultimate conclusion.
Accountability
Recommendations, modifications, and authorizations are thoroughly recorded.
Governed rollout
Algorithms undergo rigorous testing before any broader implementation.
Founders with paths that complement each other.
Care experience, product strategy and engineering applied to a shared purpose.
Alliraffe Technologies Private Limited is an Indian AI company focused on software for medical workflows. The company was incorporated on 3rd August 2026 and is based in Delhi.
Rohit
Co-founder · Medicine, clinical governance and product safetyRohit leads the medical and clinical aspects of Alliraffe's products. He contributes to product requirements, human-review workflows and the clinical safety boundaries of MedScript AI and SomniSense.
Pawan Dev
Co-founder · Strategy, product and technologyPawan Dev leads product, technology and infrastructure at Alliraffe, with experience in software development, data systems and product engineering.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or any other query.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →Let's evaluate where accountable clinical AI can add value.
Talk to us about a MedScript AI evaluation, technology or research collaboration, investment, or another enquiry.
What we are building.
AI software products being developed for medical documentation, coding and related workflows.
A lineup centered on clinical responsibility.
Each application targets a distinct workflow, yet adheres to a core principle: AI assists; the human expert reviews and finalizes.
Example dashboard showing coding review, evidence linkage and reviewer activity.
Example performance view for product demonstration.
Sample interface · figures shown for demonstration.
SomniSense explores analysis of multimodal sleep-study signals such as airflow, oximetry and actigraphy.
Progression depends on technical validation, clinical evidence, data rights and regulatory review.
MedScript AI
MedScript AI supports clinical coding with contextual suggestions linked to source evidence, mandatory professional review and a traceable record of decisions.
SomniSense
SomniSense explores clinician-supervised review of multimodal sleep-study signals and information, keeping qualified professionals in control.
Learn more →Progression is subject to technical validation, clinical evidence, data rights and regulatory readiness.
In the medical field, providing an answer without its context is insufficient.
Clinical applications must demonstrate the origin of each recommendation, safeguard human reasoning, and generate a transparent history of the workflow.
Transparent evidence
Each recommendation links directly to the medical context that backs it up.
Human supervision
The specialist validates, amends, or dismisses prior to any ultimate conclusion.
Accountability
Recommendations, modifications, and authorizations are thoroughly recorded.
Governed rollout
Algorithms undergo rigorous testing before any broader implementation.
Disjointed documentation, conclusions that are difficult to substantiate.
Medical personnel manage data distributed across various software and structures. Human auditing is tedious, and the logic driving every action isn't consistently logged.
Dispersed details
Patient files, analytics, and organized metrics exist within separate platforms and varied layouts.
Laborious, expert task
Scrutinizing extensive files drains professional hours that are required in other areas.
Complex to trace the pathway
Lacking a direct connection to the proof, defending a conclusion during an assessment becomes an arduous task.
SomniSense
SomniSense investigates the expert-supervised analysis of multimodal sleep-study metrics and data, ensuring certified specialists retain authority.
Advancement depends on technical verification, clinical proof, data permissions, regulatory reviews, and market readiness.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or any other query.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →MedScript AI — auditable clinical coding, with professionals in control
MedScript AI helps clinical coding teams read documentation, propose codes in context, and justify each suggestion with the clinical evidence behind it. The final decision always rests with the professional.
From records to responsible decision assistance.
MedScript AI assists medical coding personnel in analyzing records, suggesting contextual codes, and validating each recommendation using the underlying clinical proof. The ultimate conclusion remains with the specialist at all times.
Working product prototypeProcesses clinical documentation
Reads long, heterogeneous clinical records and organises the relevant detail.
Contextual coding suggestions
Proposes codes with the episode, history and clinical context in view.
Evidence-linked
Every suggestion points back to the clinical passages supporting it.
Human review and approval
Nothing is submitted without validation by the responsible professional.
Auditable workflow
A full record of suggestions, changes and approvals for internal audit.
A human-in-the-loop model, not autonomous coding.
Example data for demonstration only.
Fragmented documentation, decisions that are hard to justify.
Clinical teams work with information scattered across systems and formats. Manual review is slow, and the reasoning behind each decision is not always recorded.
Scattered information
Clinical notes, reports and structured data live in different systems, in different formats.
Manual, specialist effort
Reviewing long documentation consumes specialist time that is needed elsewhere.
Hard to reconstruct the trail
Without an explicit link to evidence, justifying a decision at audit becomes slow work.
The way we engineer clinical applications.
Interpretability, verifiability, and human supervision as fundamental prerequisites, rather than optional features.
Clinical applications that tie results to proof.
We construct for environments where every result must be comprehended, scrutinized, and defended.
Human-in-the-loop algorithms
The expert scrutinizes, modifies, and validates; the application recommends and logs.
Interpretable results
Every output directs to the supporting proof, using medical terminology.
Logs and governance
A complete timeline of recommendations, resolutions, and the individual who authorized each phase.
Flexible deployment
Deployment options can be adapted to application, security and data requirements.
Facility system integration
Integration options are being designed for healthcare systems and APIs.
Algorithm assessment
Methodical testing and governed implementation prior to any wider rollout.
Alliraffe plans to use cloud infrastructure for model development, application hosting, testing and deployment. The final infrastructure configuration will depend on product and data requirements.
In the medical field, providing an answer without its context is insufficient.
Clinical applications must demonstrate the origin of each recommendation, safeguard human reasoning, and generate a transparent history of the workflow.
Transparent evidence
Each recommendation links directly to the medical context that backs it up.
Human supervision
The specialist validates, amends, or dismisses prior to any ultimate conclusion.
Accountability
Recommendations, modifications, and authorizations are thoroughly recorded.
Governed rollout
Algorithms undergo rigorous testing before any broader implementation.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or any other query.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →Explore MedScript AI for your environment.
We can discuss product evaluation requirements, data boundaries and technical requirements with interested organizations.
Engineered for the personnel responsible for the ultimate conclusion.
MedScript AI is built for medical centers, healthcare facilities, medical coding and compliance personnel, as well as clinical operations and assurance departments.
- Medical centers and healthcare facilities
- Medical coding and compliance personnel
- Clinical operations and assurance departments
From comprehending the process to a well-informed choice.
A prospective facility assessment is collaboratively outlined and does not imply an automatic market rollout.
Understand
Chart the process, responsible personnel, and facility prerequisites.
Outline
Determine the boundaries, data sets, duties, and assessment benchmarks.
Determine
Reach a business conclusion only subsequent to analyzing the assessment outcomes.
Strategize
Set up the implementation, permissions, oversight, and governed supervision.
Any assessment moves forward solely with collaboratively determined data sets, duties, and benchmarks.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or any other query.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →Connectivity engineered for clinical environments.
Seamless connection isn't accomplished merely by appending the phrase “API-equipped.” Each facility possesses distinct software, configurations, vocabularies, operational flows, and accountabilities. MedScript AI connectivity will be customized alongside the IT, medical, privacy, and protection personnel of each facility.
Protocols on the engineering timeline.
Applicable ICD frameworks for institutional coding processes
HL7 v2 structures where authorized by the facility
FHIR resource models and configurations
Negotiated API-driven ingestion and extraction
These integration options are part of the product and engineering roadmap. Actual connectivity will depend on the requirements and authorization of each organization.
Chart prior to connecting.
Before linking any medical repository, the data fields, specific tags, connection points, routing path, holding areas, permissions, tracking, lifespan, and destruction are thoroughly recorded.
The testing infrastructure is customized for every facility: an isolated internal installation or a secure cloud configuration. Explicit tags and reverse-identification details stay confined within the negotiated facility perimeter.
Simulated or permanently de-identified information is prioritized whenever feasible. When masked information is mandated, it is continually handled as protected personal information.
Pursuing governed-assessment collaborators.
Alliraffe invites medical centers, coding departments, digital-innovation branches, and scholarly groups keen on researching regulated AI for medical coding. The structured sequence is to:
Establish the objective and process flow
Formulate the starting metrics without presuming an advantage
Fulfill privacy, protection, moral, and compliance checkpoints
Prioritize simulated or de-identified information; when masked data is required, handle it strictly as personal information
Benchmark against specialist auditing
Record findings, inaccuracies, boundaries, and ongoing determinations
A trial will not be marketed as a business approval or medical certification.
Security and compliance considerations.
Medical information mandates more than broad guarantees. Security and compliance requirements are being considered as the products are developed. Alliraffe does not presently assert ISO/IEC 27001 validation, CE stamping, widespread facility conformity, or a live clinical installation.
Before any personal-data processing begins, the project must document:
- Objective and legitimate foundation
- Administrator, handler, and sub-handler functions
- Reduction; masking when restoration is necessary; irreversible de-identification solely when aligned with the objective
- Permissions, holding periods, handover, and destruction
- Breach and user-rights obligations
- Whether a Privacy Impact Evaluation is mandated
When Alliraffe handles information on behalf of a facility, operations will adhere to the relevant data processing agreements.
Information perimeter and rollout choices.
Alliraffe's rollout approach is adaptable. MedScript AI is undergoing preparation to function as a specialized environment for every facility or campus, utilizing internal hospital hardware or a secure cloud setup. The applicable configuration and permitted data routes are negotiated preceding the trial.
Geography and segregation lower vulnerability but do not, independently, prove compliance. Alliraffe does not presently assert verified on-site readiness.
Identifiers separated from working data.
When handling necessitates personal information, explicit tags and reverse-identification details must be kept segregated. Any transmission to a third-party platform mandates advance masking, a recorded objective and legitimate foundation, facility authorization, and the corresponding legal and systematic safeguards.
Masked information remains personal data and is handled stringently. These safeguards act as prerequisites for prospective trials, not an absolute warranty regarding current setups.
Assert readiness strictly after safeguards are proven.
- Internal computation within the facility-governed perimeter
- Required, default-deny masking preceding any approved external transmission
- External transmission blocked universally, allowing only distinctly sanctioned exemptions
- Facility-segregated holding, encryption tools, redundancies, and maintenance permissions
- Verifications guaranteeing that outside queries, tracking, and system data harbor no medical details
Until these checkpoints are confirmed, Alliraffe categorizes secured-environment as a choice in development, rather than a proven rollout or a compliance warranty.
Security controls.
We are building security controls covering access management, authentication, encryption, logging, backups and protection of application data. Formal certification will be considered as the company and products mature.
Regulatory considerations.
The compliance categorization of healthcare applications hinges on their targeted objective and usage environment. MedScript AI is engineered as expert-validated coding assistance. SomniSense is experimental and is not marketed as a proven diagnostic instrument. We will assess applicable Indian healthcare, medical-device and data-protection requirements as the products and their intended use are finalized. This declaration does not represent a formal regulatory determination or clinical validation.
Alliraffe Technologies Private Limited
Alliraffe Technologies Private Limited is an Indian AI company focused on software for medical workflows, incorporated on 3rd August 2026 and based in Delhi (CIN U62090DC2026PTC473802).
An Indian company engineering AI solutions for the medical sector.
The company merges medical insight, product vision, and practical engineering. MedScript AI is the core offering; SomniSense is currently in the R&D stage.
We construct for proof, human supervision, and auditability, exercising rigorous testing before expanding usage.
What guides every product decision.
A clear mission, a global vision, and principles suited to the responsibility of clinical software.
Mission
To build practical AI software that helps medical professionals work with complex documentation and data.
Vision
To make useful and responsible AI software for medical workflows.
Values
Scientific precision. Medical accountability. Lucidity. Privacy from inception. Rigorous testing.
Objectives
Prepare MedScript AI for product evaluation and advance SomniSense through an experimental, evidence-driven approach.
A product-driven company.
Alliraffe develops its own AI software products for medical workflows. The company focuses on product development, testing and future deployment.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or any other query.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →Medical perspective and engineering for accountable healthcare applications.
The initiating group unites medical knowledge, product vision, infrastructure engineering, and practical AI.
The leadership of Alliraffe.
Rohit
Co-founder · Medicine, clinical governance and product safetyRohit leads the medical and clinical aspects of Alliraffe's products. He contributes to product requirements, human-review workflows and the clinical safety boundaries of MedScript AI and SomniSense.
Pawan Dev
Co-founder · Strategy, product and technologyPawan Dev leads product, technology and infrastructure at Alliraffe, with experience in software development, data systems and product engineering.
Shyama Pathak
DevOpsShyama Pathak leads the operational deployment and cloud architecture, with specialized experience in cyber security and ethical hacking.
Disciplines that work together.
These skill sets steer the engineering and testing of solutions; they do not signify a provision of medical services.
Clinical medicine
Comprehension of workflows, documentation, and expert liabilities.
Data Science & AI
AI development, data processing and model evaluation.
Engineering & Platforms
Protected infrastructure, medical virtualization, and clinical system connectivity.
Investigation & evidence
Scholarly review, trial structuring, and stringent proof standards.
Let's talk.
Pick the topic that best describes your enquiry and we'll get back to you shortly.
Let's determine where responsible medical AI can deliver benefit.
Speak with us regarding a MedScript AI assessment, engineering or academic partnership, funding, or another query.
Let's evaluate where accountable clinical AI can add value.
We welcome conversations with healthcare institutions, medical coding teams, researchers and technology collaborators.
For healthcare organisations interested in a controlled evaluation of MedScript AI.
Send a message →For research, clinical or technology teams.
Send a message →For anything else.
Send a message →Privacy Policy
Last updated: August 2026
1. Who we are and the scope of this policy
ALLIRAFFE TECHNOLOGIES PRIVATE LIMITED ("we", "Alliraffe") is an Indian company situated in Delhi, committed to engineering AI solutions for the medical sector. We govern the processing of personal data gathered via the portal teamalliraffe-l.in.
This document pertains solely to data gathered via the portal and inquiry forms. Any management of medical information throughout solution trials or implementations will be dictated by distinct agreements established with the facility, covering the duties of each side, the data management contract, and necessary impact evaluations.
2. Data we collect
Contact form: name, email address, subject, and your message.
System metrics: preferred language and timestamp of entry.
3. Purposes and legal basis
We collect information submitted through our contact forms and other website interactions. We use this information to respond to enquiries, provide requested updates and communicate about potential business or research discussions, in alignment with the Digital Personal Data Protection (DPDP) Act, 2023.
4. Conservation
Submitted enquiries are retained for a maximum timespan of 24 months, unless a statutory duty or justified objective warrants an extended duration.
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We do not sell personal information. Where a third-party service provider is used (for example, website hosting), they only process data on our instructions and for the purposes described here.
6. Rights of the data subject
You may enact your privileges of visibility, modification, deletion, limitation of management, resistance, and data transferability by reaching out to us at Reach@teamalliraffe-l.in. You additionally possess the right to file a grievance with the Data Protection Board of India.
7. Security
We implement suitable systematic and structural defenses to safeguard the secrecy, wholeness, and accessibility of information, encompassing authentication protocols, transport cryptography, and data reduction strategies.
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9. Changes
This document may undergo revisions. We will display the timestamp of the newest update here. Material alterations will be disclosed in a highly prominent manner.
10. Contacts
ALLIRAFFE TECHNOLOGIES PRIVATE LIMITED · Delhi, India · Reach@teamalliraffe-l.in
Terms of Use
Last updated: August 2026
1. Object
These Terms of Use apply to the Alliraffe website and its content.
2. Nature of the information
The material on this portal is strictly for educational and organizational uses. It does not represent medical guidance, assessment, or remedy. Any healthcare determination ought to be reached in conjunction with a certified specialist.
3. Permitted use
You agree to use the website lawfully and not to interfere with its operation.
4. Intellectual property
All material (copy, visuals, branding, artwork, and scripts) is the intellectual property of Alliraffe or utilized via permission. Its duplication mandates prior formal consent.
5. Contact form
Delivering this form denotes agreement with our Privacy Policy. The information is utilized solely to reply to the inquiry and for any subsequent actions relating to the specified topic.
6. Limitation of liability
Alliraffe exercises pragmatic efforts to maintain the material current and the platform accessible, but does not warrant the absence of downtimes, glitches, or inconsistencies. To the utmost limit permissible by statute, Alliraffe holds no liability for collateral harms stemming from the utilization of the portal.
7. External links
This portal may feature connections to external portals. Alliraffe holds no liability for the material, regulations, or operations of those portals.
8. Changes
Alliraffe may modify these conditions at any juncture. The active edition is consistently the one displayed on this portal.
9. Applicable law and jurisdiction
These conditions are dictated by Indian regulations. For the settlement of any conflict, the tribunals situated in Delhi shall hold exclusive authority, with explicit surrender of any alternative jurisdiction.
10. Contacts
ALLIRAFFE TECHNOLOGIES PRIVATE LIMITED · Delhi, India · Reach@teamalliraffe-l.in