Certified Startup
NATIVELY AI PRIVATE LIMITED
Sector:
IT/ITeS
Business Model:
SaaS
Industry:
Consumer Apps
Technology:
AI / ML
About
Incorporation Date
Jul 13, 2026
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Thrissur
Registered Address
HAVEN , CHITTILAPPILLY HOUSE Kolazhy (CT),, KOTTEKAD KUTTUR P O , Thrissur , Thrissur, Kerala
Office State
Kerala
Office District
Thrissur
Office Address
HAVEN , CHITTILAPPILLY HOUSE Kolazhy (CT),, KOTTEKAD KUTTUR P O Thrissur, Kerala 680013
Team
Evin John Ignatious
Founder
Dency John
Advisor
Natively AI
Desktop application for Windows and macOS. Captures microphone and system audio as separate channels, transcribes locally, and indexes the user's resume, documents and past sessions on-device. Retrieval and answer generation run against that index. Open-source core , with paid Pro and managed API tiers.
Sector:
IT/ITeS
Industry:
Consumer Apps
Business Models:
SaaS
Technology:
AI / ML

Natively is a desktop AI assistant for live professional conversations, available for Windows and macOS.

What it does
The application captures microphone and system audio as two independent channels through a native audio layer, applies voice-activity gating so speech recognition runs only on actual speech, and transcribes in real time. It maintains a local index of the user's own material — resume, job descriptions, project documents, notes and past session transcripts. When the user needs assistance, the application retrieves relevant passages from that index and constructs an answer grounded in the retrieved material. If no supporting passage exists, it says so rather than inventing one.

Modes
Behaviour is tuned separately for distinct working contexts: client and sales calls, internal team meetings, interviews, lectures and seminars, research sessions, and general workplace communication. Source adherence is strict for lectures and document-led sessions, broader for sales and internal discussion.

Architecture
Transcription, embedding generation, indexing and retrieval execute on the user's device. Retrieval combines dense vector search, lexical search and a local reranker under a hard millisecond-level deadline, so assistance arrives within the natural pause of a conversation. A cascading provider layer falls back across multiple speech and language model providers, including bundled offline local models, without interrupting the session.

Privacy model
Users supply their own model API keys. Conversation content passes from the user's machine directly to their chosen provider and is never stored on company infrastructure. Fully offline operation is supported through bundled local transcription and embedding models. The core is released as open source under AGPL, so the privacy claim is independently verifiable.

Availability and commercial model
Distributed as a downloadable application, available globally. The open-source core is free. A paid Pro tier for individuals unlocks advanced meeting, interview and document capability, billed monthly and annually. A managed API tier supplies pooled model access for users who prefer not to configure their own keys. Payments are processed through an international merchant of record.

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