INSTEL · AI as first class citizen · External intelligence for pharma

You can’t read everything.
You can’t miss anything.

Because what matters arrives in pieces, weeks apart, from sources that don’t look related. Until someone connects them.

INSTEL Impact, Risk & Insight System

We read the industry. You see what it means for you.

INSTEL reads thousands of documents. It surfaces the ones that affect your portfolio — each mapped to the exact product and operational line it touches, then assessed against everything else happening in your environment.
What changed. What it touches.
What it means in context.

External environment — constant, chaotic
Your people — each their own brief
Inside INSTEL

Findings you can act on. Reasoning you can verify.

Intelligence, shaped around you

Your products, activities, and jurisdictions focus the platform on what matters to your business.

Outside events, mapped to your business

Relevant events are mapped to the products and operations they may affect, showing where activity is concentrated.

One event, its full reach

Each event reveals all the products and activities it touches across your business.

Every connection, traceable

Each connection includes highlighted source text for easy validation.

Use cases

Findings that change strategy and risk assessment.

FDA · WARNING LETTER · APRIL 2026

The first AI warning letter

FDA’s first cGMP citation naming artificial intelligence — issued to another company. INSTEL Impact, Risk & Insight System flagged it the day it posted, to every line it touched.

Quick view — the silent film opens full size
The company

One founder from your world.
One who builds the engine.

Christina Hwang

Christina Hwang

President and CEO, INSTEL

Christina sets INSTEL’s strategic direction and leads its growth, drawing on more than 15 years of experience across healthcare, law, and compliance. Her experience includes intellectual property work, life sciences corporate practice at DLA Piper, and compliance work at Pfizer, where she supported global R&D and corporate risk management.

Christina holds a master’s in biotechnology from Columbia University, a J.D. from the University of Texas School of Law, and a bachelor’s in biochemistry from the University of Texas.

Shivas Jayaram

Chief Technology Officer, INSTEL

Shivas sets INSTEL’s technology strategy and leads its platform architecture, engineering, and data practice. A deep learning practitioner and educator with decades of experience in solution architecture and data science, he has designed and delivered AI-driven systems across manufacturing and technology.

Shivas holds a master’s in data science from Harvard University, a bachelor’s in business management from Coker University, and a bachelor’s in computer engineering from Cochin University of Science and Technology.

The founding engineers

Swarnava Bhattacharjee

Founding Engineer, Product & AI Agents

Swarnava brings expertise in product design, AI agent development, and evaluation to INSTEL’s customer experience. He shapes INSTEL’s multi-agent systems, product quality and optimization. His computer vision research has appeared in Scientific Reports, and he has published work on language models for scientific literature.

Swarnava holds a master’s in data science from Liverpool John Moores University, a postgraduate degree in data science from IIIT Bangalore, and a bachelor’s in physics from the University of Calcutta.

Karthik Rathod

Founding Engineer, AI Infrastructure & Security

Karthik specializes in AI platform architecture, with expertise spanning agent orchestration, cloud infrastructure, security, and access control. He shapes the systems that support INSTEL’s agents in production. His published research covers robotics and language models for scientific literature.

Karthik holds a master’s in computer science from Jawaharlal Nehru Technological University, Kakinada, and a bachelor’s in mechanical engineering from the Kakatiya Institute of Technology and Science.

Vrishbhanu Singh

Founding Engineer, Data Systems & AI Retrieval

Vrishbhanu specializes in data engineering and retrieval for AI systems grounded in legal and regulatory information. He shapes INSTEL’s data validation, model fine-tuning, and production compliance workflows. His research background includes clinical prediction models built from patient records over time.

Vrishbhanu holds a bachelor’s in economics from Hindu College, University of Delhi, and an MITx MicroMasters in statistics and data science.