Bioseq
AI intelligence · Biological critical-mineral recovery

What could biology recover from your material?

Explore more biological routes before committing time and money to testwork.

New reportHow big is biomining?Edition 1: the 2020 benchmark, a scenario for waste, and rare earths.Read and download

Could another biological route recover more, simplify separation or lower costs?

Bioseq’s agentic AI engine compares biological recovery routes against your material, its conditions and the output you need. It connects bacterial, archaeal, fungal and algal evidence, examining extraction, separation and recovery assumptions to reveal alternatives with stronger evidence for your project.

From biological evidence to project decisions

Decision infrastructure for biological critical-mineral recovery

01

Does your proposed route hold up?

02

Is there a better biological route?

03

What opportunities are hidden here?

Two ways to use Bioseq

Assess a route

Does the evidence support your route?

A laboratory result does not establish that a route will work on your material, at your concentration, through your process, into a usable output. Bioseq examines the proposition against the evidence, including performance, output quality, process demands and the basis of cost assumptions.

Explore the engine
Discover opportunities

What else could your material offer?

Start with your material and the analysis you already have. Bioseq investigates candidate metals and biological recovery mechanisms, compares their evidence against your conditions and required output, and reveals possibilities worth pursuing. Each candidate carries its evidence limits and what would need to be established next.

Explore the engine
A governed agentic architecture

The Bioseq intelligence engine

A governed agentic architecture connects scientific evidence to biological recovery questions about a defined material.

Agentic AI

Coordinates evidence retrieval, extraction and structured analysis.

Scientific ontology

Defines how materials, biological preparations, mechanisms, conditions and outputs relate.

Knowledge graph

Connects condition-bound findings to their sources, biological relationships, recovery routes and measured outcomes.

Governed rules

Control which findings can be compared, combined or carried into a new context, and what conclusions they support.

Bioseq intelligence engine

The architecture is modular: new material classes, biological mechanisms and decision layers can be added under defined scope and governed rules.

Evidence work you can check

Extraction agents retain each result with its study material, biological preparation and test conditions. Missing information stays visible. The engine carries the evidence work as far as the applicable rules allow, keeping unresolved scientific questions available for review. Findings retain their source, governing rule and review status.

SourceBiological preparationTest conditionsReview status

A growing record of biological recovery

Published research and permissioned validation results enrich the evidence graph, including negative findings. New comparisons draw on that record. Client submissions enter the reusable evidence corpus only with written permission.

The Project Decision Sheet

Strengthen the investment case with evidence others can inspect

Bioseq connects scientific findings to the recovery proposition a project asks investors and boards to back. Your Project Decision Sheet brings the recovery case together: the claims supported for your material and required output, the evidence behind them, any limiting issues and alternatives worth investigating.

It identifies any action or test that could change the assessment, giving decision-makers a stronger basis for judging the opportunity and setting the conditions for further investment.

A concrete first step

Try Bioseq on a finding

Choose a biological recovery result that matters to you: a paper your team relies on, a study a supplier has cited, or a result you would like checked. Send us the reference and we return a finding-only review within two days, free during the current testing period.

You do not need to share site data, confidential results or a proposed route. A publication link is enough, and no call is required.

One source findingTwo daysFree during testing

What arrives in two days

  • The reported result, with the study material, biological preparation and tested conditions.
  • What the finding establishes, with provisional statements clearly separated.
  • Where the evidence ends, with its source and provenance.
  • What Bioseq would need to assess the finding against your own material.

The two-day review covers one source finding. Assessment of your own material, route comparisons and a Project Decision Sheet are separate project-level work. The review document is marked finding-only and draft.

Request a free finding review

Send a finding for review.

Paste a publication link or reference and tell us what you would like to know about it. You can use an anonymised case reference and begin with non-confidential information.

Initial question
Optional. An anonymised name is fine.
Paste a publication link or reference and tell us what you would like to know about it.
Additional technical details Optional

Complete the fields you can and leave unknowns blank. If you prefer to email these details, contact martin@bioseq.io.

One or more can be put forward.
Tailings, slag, process residue, ash, brine, effluent, recycled material, or other.
A range is fine.
Whatever you have, however partial.
If you are considering a specific organism, mechanism or published result, name it. If you are asking us which routes are worth considering, leave this blank.
Bench, pilot or plant trials, biological or conventional. Include what did not work.
For example assays, XRD, ICP, particle size, leach tests or a plant data sheet.
A leach solution, a concentrate, a precipitate, a saleable product, or a cleaned-up residue.
For example: whether to fund bench work, whether to pilot, whether a proposal you have received holds up, or whether this stream is worth characterising at all.
Paste compositions, operating conditions, observations or other information that helps bound the case.
Access to your data within Bioseq is limited to the people reviewing the case. Information is not published, disclosed to other participants, added to the reusable evidence corpus or used to train a general model without written permission. Read the privacy notice for how submissions are handled and retained.

By submitting this form, you acknowledge that you have read the privacy notice and understand how this submission will be handled.

Independent by design

Bioseq has no recovery technology to promote and no preferred route. What we offer is a clear, checkable account of what the evidence supports. When a study does not support a claim, the review says so, and why. Knowing that before a pilot can save the cost of finding out the hard way.

Your information stays yours

Submissions are seen only by the people reviewing them. Nothing you send is published, shared with others, added to our evidence corpus or used to train a general model without your written permission.

About Bioseq

Bioseq is a UK AI company focused on the biological recovery of critical minerals. We believe nature holds recovery mechanisms that deserve wider investigation. Bioseq applies AI to examine those possibilities against real materials and project requirements.

Founder Martin Mantalvanos has more than 25 years building and leading technology businesses in Europe and Silicon Valley, including AI implementation and investment advisory work, and is the author of the Investing in AI book series, including The Critical Mineral Stack. He leads Bioseq’s AI architecture and evidence-governance framework.