Technoeconomic intelligence platform for critical minerals processing

WENSURA

Wen · wisdom (文)   Sura · knowledge (सुर)

LearnPlanDesignOptimizeScale

Connected to live markets. Grounded in traceable evidence.

Bring technical knowledge, your own data, and market and supply-chain intelligence together to develop critical minerals processes. Learn, plan, design, optimize, and scale, all in one platform.

Try it for free See how it works

14-day free trial of Pro. Cancel anytime.

Technical knowledge Market & supply-chain intelligence Your project data
AACE
Cost estimates with a
declared estimate class
TRL / MRL
Technology and manufacturing
readiness assessments
Auditable
Inputs, assumptions, calculations,
and saved estimate versions
Pricing

Start on your own.
Bring in your team.

Pro is self-serve for an individual engineer, with a 14-day trial. Enterprise is for teams, with access and usage allowances defined in a contract.

Prices in USD. Choose monthly or yearly billing. Payment starts after the 14-day trial unless you cancel first.

Pro

Founders pricing · first 100 subscribers

$149/month

Billed monthly after your 14-day trial.

Save $298 a year with yearly billing.

For an individual engineer

  • Process & TEA with declared AACE class
  • Scenarios, sensitivity & Monte Carlo
  • Design of Experiments with live analysis
  • Battery Base corpus & research panel
  • Data Foundry project workspaces
  • Sandbox & AI Copilot
  • Branded PDF, Excel & CSV reports
Start 14-day trial

No charge if you cancel during the trial.

Enterprise
Custom

For teams · access by contract

  • Everything in Pro
  • Seats sized to your team
  • Owner, admin & member roles with invites
  • Usage allowances agreed in your contract
  • Provisioned by contract, no card checkout
Contact sales
The Problem

Process decisions need
connected evidence.

Process selection, scale-up, and operational improvements need more than one model. You need technical evidence, process data, market information, and a plan for the next tests.

Evidence

Knowledge is spread across sources

Research, test results, and internal reports come from separate sources. Bring the evidence together to understand your processing options.

Context

Economics depend on the market

Feedstock specifications, supply conditions, and material prices shape a process decision. Review the source and date of each input.

Readiness

Readiness gaps guide the next step

Identify process steps that need development. Use experiments to examine assumptions. Connect this work to technical and economic goals.

Try it for free
The Platform

Tools for each stage
of process development.

Start with your processing question. Use research to compare routes, develop process models, analyze experiments, or prepare for scale-up. Move between these tasks as your project develops.

Critical minerals processing, all in one platform

Learn

Understand the evidence
  • Explore processing technologies
  • Question the curated knowledge base
  • Analyze your own documents and data
Battery Base & Data Foundry

Plan

Evaluate your options
  • Compare routes and requirements
  • Assess technology and scale-up readiness
  • Identify assumptions and evidence gaps
Data Foundry & Process & TEA

Design

Develop the process
  • Create process cards and equipment models
  • Estimate costs at a declared AACE class
  • Design experiments to examine assumptions
Process & TEA and DOE

Optimize

Guide the next improvement
  • Analyze your experimental results
  • Analyze throughput and energy constraints
  • Compare improvements and plan the next PDCA cycle
Process & TEA, DOE, Sandbox & AI Copilot

Scale

Prepare the next scale-up step
  • Review readiness against target capacity
  • Evaluate changes to equipment and throughput
  • Connect scale-up plans to economics
Process & TEA, DOE & Data Foundry
Your work, your evidence
Research, process models, economics, and experiments
Ipsura
IP whitespace search (coming soon)
How It Works

Which purification or thermal annealing process
should you develop?

Explore how Wensura supports the development of a purification or thermal annealing process. Select a stage to see the question, the work, and the output. This is a workflow example, not a calculated study or a process recommendation.

Explore the workflowIllustrative
What does the evidence say about the process options?

Learn

Understand the evidence

Review technical sources alongside feed characterization, product requirements, and previous test results. Identify purification methods or thermal annealing conditions for further study.

Bring to the study

Source documents, feed composition, material properties, and product requirements.

Take the next step

A shortlist of process options with supporting sources, assumptions, and unanswered questions.

Battery Base & Data Foundry Ipsura — IP whitespace search (coming soon)
Illustrative workflow · no customer results or estimated savings
Research questions go to a multi-model panel
1 Independent answers 2 Blind peer ranking 3 Chairman synthesis

Review the individual answers, peer rankings, and synthesis alongside the retrieved context. Research questions use a multi-model panel by default. Simple questions and follow-up questions use one model.

Try it on your own processing data. Fourteen days free, no sales call needed.

Try it for free
Constraint analysis & PDCA

Find the constraint.
Accelerate scale-up.

Focus development on what limits your process: throughput bottlenecks, energy demand, and readiness gaps. Use Wensura to support your Plan–Do–Check–Act (PDCA) cycle and prioritize the next improvement.

  1. Plan

    Define the scale-up target. Identify the process step that limits capacity. Design experiments to address gaps in your evidence.

  2. Do

    Run trials with your team. Bring measured results and operating conditions into Wensura for analysis.

  3. Check

    Analyze experimental results. Simulate added parallel capacity with optional yield and uptime changes. Examine changes in throughput and the bottleneck.

  4. Act

    Select changes for further tests. Update your process model and economic assumptions. Plan the next improvement cycle.

Reassess the constraint after each improvement. Keep each scale-up decision connected to experimental evidence, process economics, and TRL/MRL readiness.

Market & supply-chain intelligence

Connected to live markets.
Grounded in traceable evidence.

Understand how supply conditions and market prices affect your processing options. Examine each source, its date, and its effect on your study assumptions.

Supply chains Market data Study inputs Decisions Wensura
Wensura connects supply-chain evidence, market data, study inputs, and decisions. Illustrative connections, not a live data visualization.
Supply chainsExamine origin, context, and provenance in the available supply-chain evidence.
Market dataReview price observations with their source and as-of date.
Study inputsChoose data and assumptions that match your process and location.
DecisionsCompare scenarios and keep the basis of each saved estimate.
Engineering foundations

A basis you can
examine and explain.

Built on AACE estimate classification, technology and manufacturing readiness assessments, and auditable computations. Traceability keeps supply-chain and market evidence connected to its source.

AACE

Estimate with a declared basis

Use AACE estimate classes to communicate the maturity and uncertainty of your cost study. Inspect the base estimate, contingency, and accuracy band. The selected class must be supported by the engineering definition.

Class 5 to Class 1Estimate basisContingency & uncertainty
TRL / MRL

Assess readiness to scale

Evaluate technology readiness levels (TRL) and manufacturing readiness levels (MRL) across process steps. Identify bottlenecks and development gaps before you commit to the next stage.

Technology readinessManufacturing readinessProcess bottlenecks
Traceability

Trace supply-chain and market data

Examine the origin and provenance of supply-chain information and the source and date of market observations. Keep reported data distinguishable from your own inputs and assumptions.

Supply-chain provenanceMarket-data sourcesAs-of dates
Auditability

Follow the computation

Inspect the inputs and assumptions behind a costed study. Saved estimate versions preserve the calculation basis so you can compare changes, record sign-off, and export the results.

Auditable calculationsVersion comparisonRecorded sign-off
Why Trust Wensura

Work with evidence.
Keep control of the decision.

Research you can examine

Use the curated knowledge base alongside your own project documents. Inspect retrieved context and the research panel answers as you develop your understanding.

Context · individual answers · synthesis

Analysis with visible limits

Analyze your data and experiment results with the assumptions in view. When the DOE engine cannot compute a statistical quantity, it explains the limitation in place of that result.

Statistical assumptions · explained limits

Your data stays in your organization

Each organization's projects and Data Foundry content are kept separate from other organizations and from the shared Battery Base corpus. Owners and admins decide who joins.

Kept per organization

Start with your own processing question.

A 14-day free trial of Pro on your own data. Bring your team in later.

Try it for free
Compare

Compare the plans.

Review the main differences here. The pricing page has the full comparison and the pricing FAQ.

See the full comparison and pricing FAQ →

Pro and Enterprise tiers compared
Feature Pro
$149/month
 Enterprise
Contact sales
Process & TEA and DOE Included Included
Battery Base & Data Foundry Included Included
Sandbox & AI Copilot Included Included
PDF, Excel & CSV reports Included Included
Built for One engineer Your team
Usage allowances Pro plan Per contract
How to start Self-serve, 14-day trial Contract
Start trial Contact sales
Before the Demo Call

Common Question
& Answers

Answers about process studies, data access, pricing, and the demo.

Who is Wensura for?

Wensura supports technical teams that develop, evaluate, and improve critical minerals processes. Start with research or your own data. Use process models, economic analysis, readiness assessments, and experiments to develop your project.

Which processes can I model?

Describe your own processing route through process cards, materials, equipment, and utilities. The TEA study calculates costs from your inputs and records the declared AACE estimate class. The workflow on this page illustrates how to develop a purification or thermal annealing process. It is not a calculated study or a process recommendation.

What does traceability cover?

Traceability connects supply-chain information and market data to their sources and dates. Computation auditability covers recorded inputs, assumptions, calculations, and saved estimate versions. These records let you examine how a study result was produced.

Who sees my data and IP?

Each organization's projects and Data Foundry content are kept separate from other organizations and from the shared Battery Base corpus. Documents you upload to a Data Foundry project get their own retrieval index. Owners and admins decide who joins your organization.

What happens on the demo call?

Bring a processing question, project data, or a model. In a 15-minute product demo, explore the workflow for your project while we answer your questions. We will discuss how Wensura fits your research, planning, design, optimization, or scale-up work.

How do we get started?

Pro founders pricing is $149 per month or $1,490 per year for the first 100 subscribers. An individual engineer can start with a 14-day trial, with no charge if you cancel during the trial. Contact sales for an Enterprise contract with seats and usage allowances for your team.

Explore your processing
question with Wensura.

Book a 15-minute product demo. Use your processing question or data to explore the tools.

Separate organization workspaces · saved estimate versions
Book a 15-min Demo

15 minutes · your processing question or data

Try it for free