Sight.ai unifies biological image analysis
in one AI-powered platform.

From Pixels to dynamic
cell simulations

  • Faster
  • Unified
  • Reproductible
  • Multi-Modal
sight-visual-home-2

We turn fixed and live microscopy data across all modalities at scale into a standardised biological representation.

Schema Schema Built around scientist

Allowing researchers to go from pixels to decisions in one place instead of stitching together dozens of disconnected tools.

Our mission

A unified workflow that transforms heterogenous bio pixel fluxes into decision-ready biological knowledge.

Building the first operating system for digital biology.

Ingest

Integrate imaging data from any modality.

Understand

Recognize and organize any imaging dataset.

Measure

Measure relevant biological states and objects.

Interpret

Reveal biological mechanisms and dynamics.

Decide

Deliver decision-ready biological intelligence.

Favicon Sight.ai

A unique scientific advantage

Sight.ai combines proprietary biological data, exclusive high-performance computing and world-class scientific expertise.

User-centric by design

More data. No code. No friction.

Simplified

1

Unified
platform

Scalable

∞

Scalable
data processing

Faster

100x

Than current
image analysis

The team behind the vision

A unique combination of
entrepreneurial vision, scientific excellence and AI expertise.

Mathieu Fréchin
Mathieu
Fréchin CEO
  • Experienced entrepreneur
  • World leader in AI and cellular imaging
  • Built and led large R&D/production teams
Sebastien Zussy
Sebastien
ZussyHead of Ground Truth and operations
  • 20 years in pharma development operations and quality
  • Expert in pharma-grade standards, regulatory strategy, and operational excellence
Olivier Schwartz
Olivier
SchwartzChair of SAB, CSO
  • Head of the Virus and Immunity Unit, Institut Pasteur
  • Former Scientific Director of the Institut Pasteur (2018-2019)
  • Former Chair of the Institut Pasteur Scientific Council
  • Member of international scientific advisory boards
Myoung-ok Kwon
Myoung-ok
KwonBusiness dev, exec. Chair of the Board
  • 18 years in Board leadership & Governance
  • 18 years in venture capital & business development
  • 8 years in pharma research & strategy

Already validated in the field

Leading scientific institutions and global pharmaceutical companies.

Global pharma

Active discussions and pilot opportunities

Institut Pasteur

Co-founder & first customer

Leading research institutes

Data, beta testing and scientific collaborations

Book a personalized demo and discover how Sight.ai can transform your bio-images into actionable biological insights.

Transform your
bio-pixel strategy.

Frequently asked questions

What problem does Sight.ai solve?

Modern imaging experiments can generate terabytes of data but extracting biological insight still depends on fragile, hand-built pipelines in Python, MATLAB, or R that are local, dataset-specific, and tied to the person who built them. Sight.ai replaces that patchwork with a single auditable workflow, improving reproducibility, traceability, and speed.

What is Sight.all?

Sight.all is our core platform: the multimodal substrate that collapses a fragmented multi-tool imaging pipeline into one system. It is organised in four functional layers: acquisition, recognition, quantification and knowledge, under one codebase, one compliance posture and one pricing grid.

Which microscopy modalities and data types does Sight.ai support?

Sight.all is designed to integrate all major microscopy modalities, fixed and live, across scales including fluorescence, approaches such as label-free, live-cell time-lapse, and multiplexed tissue imaging. If you have a modality or file format you're unsure about, contact us and we'll confirm compatibility.

How do I access Sight.all, is it a software to install?

You access sight.all as a web application, hosted on the cloud

Can Sight.all integrate with our existing instruments and data infrastructure?

Yes. The platform is designed to sit downstream of your existing microscopes and upstream of your decision-making, ingesting data from your acquisition systems and connecting to your storage and analysis environments via the API. Integration design is part of how we engage with every enterprise client.

Is my data secure, and who owns it?

You retain ownership of your data. The platform is built on strict data-integrity and traceability principles (ALCOA+), enterprise deployments include the security and confidentiality arrangements your organisation requires. We're happy to walk your IT and QA teams through the details.

Do I need coding or machine-learning skills to use Sight.ai?

No. Sight.all is built so biologists can run rigorous, reproducible image analysis without writing code. At the same time, computational scientists can access everything programmatically through the API, both profiles work from the same underlying, auditable system.

Who is behind Sight.ai?

Sight.ai was founded by a team combining deep bioimage-analysis science and pharma-industry experience, co-founded with Institut Pasteur, and guided by a Scientific Advisory Board of internationally recognised leaders in quantitative cell biology, AI, and bioimage informatics. The founding science is peer-reviewed, including publications in Nature and Nature Communications.

How can I try Sight.ai or start a pilot?

We work with early partners through pilot projects: we define a use case together, benchmark the platform on your data, and design the integration path. Contact us through the website to discuss a pilot, request a demo, or ask about pricing for your team.