Hello! We are Telomara.

We bring to you our first product, which is an AI-powered Augmented Review Assistant for Life Sciences.

The Bottleneck

Verification doesn't scale with headcount — it scales with fatigue.

Volume outpaces reviewers

Batch records and qualification packets arrive faster than any QA team can read them line by line.

Cross-referencing is manual

Every clause has to be matched against a regulation by hand, then matched again after revisions.

Fatigue becomes risk

A missed inconsistency on page 40 of a batch record can mean a delayed release or a 483 observation.

The Solution

Every record, checked against the rule that governs it.

Telomara acts as an Augmented Review Assistant. It reads documents line by line, maps them to regulatory clauses (21 CFR, EU MDR, ISO), and flags gaps.

Runs on-premise. Nothing leaves your network.
Traces every finding. No black-box AI scoring.

BATCH-RECORD · LOT 24118-B FLAGGED

Batch record, §4.2

21 CFR 211.188(b)(11)

The Founders

Connecting scientific research, digital QMS, and business ops.

Dr. Abhinoy Kishore, Ph.D.

Co-Founder & Chief Scientist

Dr. Abhinoy Kishore began his journey exploring the intricate depths of neuro-virology and nanobiotechnology. After more than eight years of rigorous research at institutions like IISc and INST, he realized that strict scientific logic could be mapped directly into computational models. At Telomara, he ensures our AI inherently understands the strict realities of life sciences, grounding our technology in true scientific discipline.

Pooja Chowdhury, M.Sc.

Co-Founder & Quality Ops Lead

Pooja Chowdhury spent over nine years inside the digital QMS environments of leaders like Alcon, Novartis, and Philips, seeing firsthand how compliance fatigue slows down medical innovation. Combining her life sciences background with a deep passion for NLP and AI implementations, she bridges the gap between complex code and everyday quality operations. She translates Telomara's raw algorithms into practical, intuitive workflows that QA teams can actually trust.

Get Started

Request a demo

Bring a real batch record or SOP. We'll run it through Telomara during the call so you see the mapping happen on your own document.

30-minute walkthrough

Your document never leaves your environment

Vision

One discipline, mapped across every domain that needs it.

We believe rigor doesn't have to stay in the lab. The same standard of evidence that governs a batch record can govern a diagnosis, a power grid, or a city plan — if the AI reasoning it every step of the way is built to be checked, not just trusted.

SEVEN DOMAINS · ONE SCIENTIFIC CORE

Mission

How we build, stated as plainly as we'd want it audited.

Our team's roots are in bench science and regulated quality systems. We hold applied AI to the same standard — evidence, traceability, and a human who stays in charge of the decision.

01 Principle · Evidence

Ground every model in verifiable domain science

No generic automation dressed up as insight — every output traces back to a defensible scientific or regulatory basis.

02 Principle · Authority

Keep the human in command of consequential decisions

Our tools flag, cross-reference, and surface — they don't approve, diagnose, or release on anyone's behalf.

03 Principle · Trust

Design for trust before scale

Transparent reasoning, auditable outputs, and on-premise deployment wherever the domain demands data stay put.

04 Principle · Applied

Move from the bench to the workflow

Research-grade thinking, packaged so a reviewer, clinician, or planner can use it without a PhD to interpret it.

Product Scope

Seven domains, one platform.

Our flagship product proves the approach in life sciences. Each additional domain applies the same core: read the data, map it to what governs it, flag what needs a human.

AI for Health

Augmented review and decision-support for regulated healthcare and life-sciences workflows — our flagship, live today.

Live · Flagship

Personal Wellness

Nutrition, counselling, and mental-health support — personalized guidance that respects the sensitivity of the data behind it.

In development

Disease Mitigation

Earlier detection and response tools, grounded in our team's own virology and neuroscience research.

In development

Green Energy

Optimization for generation, storage, and distribution, supporting more efficient, sustainable infrastructure.

Roadmap

Industrial Systems

Applied AI for process monitoring and quality assurance, built on the same rigor as regulated environments.

Roadmap

Nanotechnology

Computational and AI-assisted nanomaterial design, connecting our founders' own nanobiotechnology research to applied tools.

Roadmap

Smart City Planning

Decision-support for urban infrastructure and resource planning — helping cities allocate resources more intelligently.

Roadmap