Identifying and Executing Quick-Win Generative & Agentic AI Use Cases

About Polaris

o2h has been working at the intersection of technology and life sciences for over two decades, supporting both large pharmaceutical companies and emerging biotechs across discovery, technology, and AI/digital transformation projects. 

AI is driving significant change across the life sciences sector. The pace of change is quicker and the gap between what AI is capable of and what organisations are actually implementing needs constant attention.

At o2h Technology, we have launched Polaris, a new AI implementation offering designed specifically to help life sciences organisations move quickly into practical execution.

Polaris is focused on helping organisations identify and execute early quick-win AI use cases using the latest generative and agentic tools. The focus will be to improve workflow efficiency, unlock new opportunities, and help teams build direct hands-on experience with AI tools, data, processes, and applications. The early wins would then provide a beachhead for deeper and more wide ranging projects during a second phase of work.

Built on

GPT-4o Claude 3.5 Sonnet Llama 3.1 BioGPT ChemBERTa AlphaFold 2/3 PyTorch OMOP CDM FHIR R4 Medidata Rave GPT-4o MLflow AWS SageMaker RDKit DeepChem OMOP CDM FHIR R4 Medidata Rave

Two Easy-to-Access Starter Packages

Ignite

£8,000

3-Month Engagement

A practical starter package for identifying opportunities or pain points for a modest exploration of 1-2 use cases.

Get started

Accelerate

£16,000

6-Month Engagement

An extended engagement focused on implementation, orchestration, and building early GenAI and/or Agentic AI workflows with 2-3 use cases with a modest scope or 1-2 use cases at a deeper level.

Get started

Scale & Transform

Designed for organisations looking to scale AI capabilities, operational integration, orchestration, and long-term transformation initiatives.

95%

of enterpirse generative AI pilots deliver no measurable business impact

MIT NANDA Study, 2025

68%

of pharma & biotech leaders cite poor data quality as the primary cause of AI failure

Industry Survey, 2025

$8.5B

AI pharma market today, growing to $150B by 2034 — the window to lead is now

Global Market Intelligence

How It Works

From discovery to production in weeks.

01

Discovery Call

A focused 60-minute conversation with our Polaris team. No pitch decks. We map your current AI state, data maturity, and the two or three outcomes that matter most to your leadership team.

02

Scoped Proposal

Within five working days, you receive a precise scope document. Package, timeline, resource allocation, and measurable outcomes — all defined before a contract is signed.

03

Engagement & Delivery

Your Polaris team begins work. Weekly exception-based reporting keeps your leadership informed without creating noise. Every deliverable is built for your environment, not a template.

Leadership Team

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Prashant Shah

Co-Founder - o2h group

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Hitesh Sanganee

Senior AI Advisor - o2h Technology

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Axay Soni R.

CEO - o2h Technology

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Jaini Gupta

Project Manager - o2h Technology

Through Polaris, we will work with you to help build

  • The orchestration layer
  • The data layer for AI enablement
  • Early GenAI and Agentic AI use cases
  • Practical AI workflows designed to improve operational efficiency and unlock measurable value
  • Direct organisational experience with AI tools, data, processes, and applications
  • AI-enabled digital workforces

Two decades at the intersection of science and technology

Polaris is structured across four integrated engagement layers, each delivering specific, measurable outcomes for the people accountable at that level.

  • 21 CFR Part 11 compliant infrastructure
  • GxP validation-ready AI systems
  • CDA signed before any scientific discussion
  • Zero-trust network architecture
  • FDA, EMA, and ICH aligned governance
  • IP assigned to client on full payment
  • No sub-contracting, ever