About Xineplus

We're Building the Future
of Scientific Discovery

For centuries, scientific discovery has run on the same loop: hypothesize, experiment, interpret, repeat. We're building AI systems that run that loop autonomously — compressing decades of progress into years.

Compress the Discovery Timeline

The companies that make meaningful contributions to scientific progress won't just sell research copilots. They'll be AI-native discovery engines that work alongside researchers to propose and validate hypotheses.

Xineplus exists to build those engines. We combine frontier generative AI, physics-informed neural networks, GPU-accelerated simulation, and multi-objective optimization into closed-loop platforms that autonomously discover drugs, materials, and proteins.

Scientific discovery laboratory

The Discovery Loop is
Ready to be Automated

Models Have Reached PhD-Level Reasoning

Frontier AI models now match PhD-level performance on scientific reasoning benchmarks. They can propose hypotheses, design experiments, and interpret results with expert-level sophistication.

Simulation is Now Fast Enough

GPU-accelerated physics simulations and neural network surrogates have made it possible to evaluate millions of candidates per hour — making brute-force exploration viable for the first time.

The Loop Can Close Itself

Automated labs, robotic synthesis, and high-throughput assays mean AI-generated candidates can be physically tested at scale — closing the loop between computation and experiment.

Built by Scientists
and Engineers

Our team combines deep domain expertise in computational chemistry, materials science, and protein engineering with world-class AI and infrastructure engineering.

Muhammad Rashid

Muhammad Rashid

Co-Founder & CEO

Leads company strategy, research partnerships, and the mission to make autonomous discovery accessible to ambitious scientific teams.

Tahir Hussain

Tahir Hussain

Co-Founder & CTO

Leads the AI platform, GPU infrastructure, and product architecture behind Xineplus closed-loop discovery engines.

What Drives Us

Scientific Rigor First

Every prediction we make is grounded in physics and validated against experimental data. We don't ship hype — we ship accuracy.

Speed is a Feature

Patients are waiting. The climate is changing. Every month we shave off a discovery timeline is a month the world benefits sooner.

Researcher-Centric Design

Our platforms work alongside scientists, not around them. We augment human intuition with computational scale — never replace it.

From Thesis to Platform

Q1 2025

Founded

Xineplus founded with $12M seed round. Core team assembled from DeepMind, Roche, Google Brain, and Genentech.

Q3 2025

XineDiscover Alpha

First closed-loop drug discovery campaign completed. 4-week target-to-lead cycle achieved with 3 pharma design partners.

Q1 2026

Platform Expansion

XineMaterials and XineProtein launched in beta. Series A fundraise completed at $45M. Team grows to 60.

Q3 2026

General Availability

All three platforms available commercially. First self-driving discovery campaign runs fully autonomously from target to validated candidate.

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Team Members

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Total Funding

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Products Shipped

Building in a Global Science Hub

Xineplus is based in London, UK, close to leading universities, biotech clusters, pharmaceutical partners, and deep technology investors.

Our London base gives research teams a European partner for AI-native discovery while supporting collaborations across North America, Europe, and Asia.

London

Headquarters

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Co-Founders

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Discovery Platforms

Principles for Autonomous Science

Human Review at Critical Gates

Researchers stay in control of campaign goals, validation decisions, and final interpretation.

Evidence Over Hype

Every recommendation must carry enough data for a scientist to inspect, reproduce, and challenge it.

Interdisciplinary by Design

AI engineers, domain scientists, and product teams work as one group around shared discovery outcomes.

Partnered with leading research institutions

Join Us in Accelerating Discovery

We're hiring scientists and engineers who want to build the future of scientific research.