Accelerate Biotech Innovation

What’s Really
Causing the Delays?

Broken
collaboration

Unclear
data

Compliance
gaps

Easy to miss, expensive to ignore. Let’s trace and fix it.

Time is Your Most Valuable Asset

A typical biotech journey spans years. Each day of delay in a clinical trial isn't just a missed milestone; it's lost revenue and delayed patient access. What if you could shorten that timeline by 4 months? This acceleration can create a powerful strategic advantage:

Blockchain-Powered Trust
for Verifiable Biotech

Your workflow doesn't change. Its integrity and verifiability do

FLEXBLOK is an enterprise-grade private blockchain-as-a-service platform that works with your existing systems. Think of it as the secure backbone that connects and validates the data your team relies on every day, making your processes inherently audit-ready.

Establish Unshakeable Data Integrity

Ensure all data, from research to clinical trials and supply chain logs, is tamper-proof, timestamped, and fully traceable.

Foster Trust-Based Collaboration

Enable secure, permissioned data sharing with internal teams, CROs, and academic partners, complete with an audit trail.

Automate and Streamline Compliance

Automate trial milestones and patient consent with smart contracts to reduce manual oversight and ensure audit readiness.

Accelerate Your Timelines

FLEXBLOK reduces data management friction and enhances collaboration, speeding up development cycles to bring innovations to market faster.

Why are Biotech Firms Turning to FLEXBLOK?

Case Studies & Use cases

Ready to Transform Your Data Pipeline?

FLEXBLOK empowers biotech teams to meet the evolving industry expectations with speed, security, and simplicity without the burden of knowing about blockchain infrastructure from scratch.

Let’s talk through your biotech challenge, and show you how FLEXBLOK delivers.

Love the simplicity of the service and the prompt customer support. We can’t imagine working without it.

Amélie Laurent

Product Manager, Wildcrafted

Frequently asked questions

Everything you need to know about the product and billing.

How can blockchain specifically solve data provenance issues in AI?

A: Blockchain creates an immutable, timestamped ledger for every piece of data and its transformations. This means you have a verifiable, unalterable history of your data's origin, who accessed it, and how it was changed. For AI, this ensures the integrity of training data, helps identify biases at the source, and makes auditing data straightforward, directly addressing data provenance uncertainty. Keywords: blockchain AI data provenance, immutable data ledger AI, AI training data integrity, verifiable data history AI.

Keywords: blockchain AI data provenance, immutable data ledger AI, AI training data integrity, verifiable data history AI.

What is AI model lineage, and how does blockchain enhance it?

A: AI model lineage is the documented history of an AI model's development, including datasets, code versions, hyperparameters, and pre-trained components. Blockchain enhances this by storing each step and artifact of the model's lifecycle as a tamper-proof record. This ensures complete traceability from a deployed model back to its origins, improving reproducibility, accountability for model behavior (like bias), and easier debugging.

Keywords: AI model lineage blockchain, traceable AI models, reproducible AI blockchain, blockchain for AI model versioning.

How does blockchain contribute to Explainable AI (XAI) and decision attribution?

A: While blockchain doesn't inherently make models explainable, it provides a secure and immutable infrastructure to log the inputs, outputs, and explanatory artifacts from XAI tools. This creates a verifiable audit trail for AI decisions, making it possible to reliably trace why a specific decision was made and attribute it to specific data or model versions. This enhances accountability and trust in AI outcomes. Keywords: blockchain explainable AI, AI decision attribution blockchain, auditable AI decisions, responsible AI blockchain.

Keywords: blockchain explainable AI, AI decision attribution blockchain, auditable AI decisions, responsible AI blockchain.

Can blockchain improve the security of AI models and data?

Blockchain's decentralized and cryptographic nature enhances security by making data and model records tamper-evident and resistant to unauthorized changes. It can secure the storage and access to sensitive training data, protect the intellectual property of AI models by proving lineage, and ensure that only authorized versions of models are deployed.

Keywords: blockchain AI data security, secure AI models blockchain, decentralized AI data, AI intellectual property protection blockchain.

Is integrating blockchain into existing AI workflows complex?

A: While it can seem daunting, platforms like Flexblok (Blockchain-as-a-Service) are designed to simplify this integration. Flexblok offers APIs (like Data Tracing API, Document API) and tools that allow AI developers to incorporate blockchain functionalities without needing deep blockchain expertise, focusing on easy adoption and interoperability with existing AI pipelines.

Keywords: Blockchain as a Service AI, easy blockchain integration AI, AI workflow blockchain.

What are "smart contracts," and how are they relevant for AI on the blockchain?

A: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. They run on a blockchain, becoming transparent, immutable, and automated. In AI, smart contracts can automate processes like data access permissions based on predefined criteria, royalty distribution for AI model usage, or even trigger actions based on AI model outputs in a verifiable way.

Keywords: smart contracts AI blockchain, automated AI governance, blockchain AI automation, decentralized AI applications.

Does using blockchain for AI impact scalability or performance?

A: This is a valid consideration. While early blockchains had scalability limitations, modern enterprise blockchain solutions like Flexblok are designed for high throughput and scalability. The specific impact depends on the blockchain architecture and how it's integrated. For AI lineage and provenance, not all data needs to be on-chain; often, hashes and critical metadata are stored, balancing integrity with performance.

Keywords: scalable blockchain for AI, AI performance blockchain, enterprise blockchain AI, Flexblok scalability.