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The AI research platform
for battery scientists.

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

Multi-LLM peer review, semantic knowledge search, and data analysis — purpose-built for the $400B battery industry.

Battery Base MVP launched
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Days
:
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Hours
:
--
Minutes
:
--
Seconds
0
Years of Market Data &
Proprietary Battery Knowledge Base
0
Text Chunks &
Embeddings
0
Uptime in
Load Testing

Battery R&D is drowning in data
and starving for insight.

Researchers spend weeks manually reviewing papers before running a single experiment. Data lives in PDFs, spreadsheets, and lab notebooks with no cross-referencing.

40+

Papers Per Day

New lithium-ion battery papers published daily. No researcher can keep up manually.

10100

Material Combinations

Possible synthesis combinations for battery materials. Exploring this space requires AI.

$6B+

Annual R&D Spend

Spent globally on battery research each year, yet no AI tool speaks the language of battery science.

Multi-LLM Peer Review in Action

Watch how Wensura processes a real battery research query through multiple AI models that independently analyze, blindly critique, and synthesize one authoritative answer.

Note: This is not a literature search tool. Although we may incorporate that in a future release.

Your Research Query
What are the latest NMC 811 cathode degradation mechanisms?
1
Stage 1 — Collect
Independent Analysis

Multiple randomly selected LLMs independently query the RAG knowledge base. No model sees another's response.

LLM-A // GPT-4o
Analyzing cathode crystal structure degradation and phase transitions in layered oxides...
Querying RAG — 847 chunks retrieved
LLM-B // Claude
Reviewing electrolyte-cathode interface reactions and CEI layer formation in NMC 811...
Querying RAG — 923 chunks retrieved
LLM-C // Gemini
Mapping transition metal dissolution pathways and their impact on capacity fade...
Querying RAG — 791 chunks retrieved
2
Stage 2 — Critique
Blind Peer Review

Each model reviews and scores the others. Accuracy, citation quality, completeness — fully blind evaluation.

LLM-A reviews LLM-B
Citation depth strong. Missing recent 2024 findings on oxygen release.
8.7
LLM-B reviews LLM-C
Good mechanistic detail. Misattributed Mn dissolution to spinel, not rock-salt.
7.4
LLM-C reviews LLM-A
Excellent scope. Overstated certainty on H2→H3 transition voltage.
9.1
LLM-A reviews LLM-C
Accurate pathways but lacks quantitative data on dissolution rates.
6.8
LLM-B reviews LLM-A
Phase transition analysis is thorough with proper voltage references.
9.3
LLM-C reviews LLM-B
CEI analysis is strong. Should include electrolyte additive effects.
8.2
3
Stage 3 — Synthesize
Team Lead Verdict

A randomly assigned Team Lead synthesizes the highest-scored insights into one authoritative answer.

TEAM LEAD // Randomly Assigned LLM-A
NMC 811 cathode degradation proceeds through three primary mechanisms: (1) H2→H3 phase transition above 4.15V causing abrupt lattice contraction and intergranular cracking[LLM-A, 9.1], (2) transition metal dissolution (primarily Mn²⁺ and Ni²⁺) from the rock-salt surface reconstruction layer triggering cross-talk with the anode[LLM-C, corrected by LLM-B], and (3) cathode-electrolyte interphase (CEI) growth consuming active lithium and increasing impedance[LLM-B, 8.7]. Recent 2024 studies further implicate lattice oxygen release at high SOC as a root cause of electrolyte oxidation and gas generation.
9.2
Consensus Score
3/3
Models Agreed
14
Citations Used
847ms
Total Pipeline
Research-Grade Answer
Peer-reviewed. Cited. Reproducible.
Unlike single-LLM answers, this response was independently verified by 3 models, blind-reviewed, and synthesized with full source attribution.

An AI copilot that speaks
battery science fluently.

Four integrated modules. One platform. From literature review to technoeconomic analysis — everything a battery researcher needs.

www.wensura.com
Battery Base
Apr 2026 — MVP
  • Semantic search & RAG
  • AI Peer Review pipeline
  • Conversation history
  • SSE streaming
  • Data Sandbox & AI Copilot
From $39/mo
Data Foundry
May 2026
  • User-controlled data
  • Enhanced knowledgebase
  • PDF & dataset upload
  • Encrypted isolation
From $39/mo
Process & TEA
Jun 2026
  • Process modelling
  • Technoeconomic analysis
  • Design of experiments
  • Process Coach (TOC)
Included in Pro
IPSURA
Jul 2026
  • Semantic IP search
  • Whitespace analysis
  • Risk modeling
  • Risk monitoring
Enterprise
Enterprise
Dedicated support · SOC2 compliance · Custom integrations · SSO & API access
Aug 2026 · Custom pricing
Apr 2026 — MVP

Battery Base

Semantic search across 5+ years of market data and 100K+ text chunks with graph-based RAG. Multi-LLM peer review pipeline ensures research-grade answers. Integrated data sandbox with AI-powered analysis copilot.

LLM Peer Review Semantic Search Data Sandbox AI Copilot Conversation History
May 2026

Data Foundry

Build your own knowledge base. Upload proprietary PDFs and datasets. Enhanced retrieval with table-of-contents indexing. Your data stays isolated and encrypted.

Custom Knowledge Base PDF Upload Enhanced Retrieval Data Isolation
Jun 2026

Process Optimization & Cost Modeling & TEA

Technoeconomic analysis engine. Design of experiments automation. Process simulation coach that helps optimize synthesis routes and predict cost-performance tradeoffs.

Technoeconomic Analysis Design of Experiments Process Coach
Jul 2026

IPSURA

IPSURA intellectual property intelligence module showing patent landscape topography with whitespace detection, citation networks, and competitive threat monitoring

Intellectual property intelligence. Whitespace analysis reveals unclaimed territory. Risk modeling monitors competitive threats. Patent landscape mapping for strategic R&D decisions.

IP Search Whitespace Analysis Risk Modeling Patent Monitoring

Watch the intelligence flow.

A real-time visualization of how Wensura processes your research queries through multiple AI layers.

Wensura AI data copilot chat workspace showing conversational analysis with scatter plots, PCA biplot, and correlation heatmap for battery research data
RAG Knowledge Base 5+ years of market data, 100K+ chunks graph-indexed with pgvector similarity search
LLM Peer Review Multiple models generate, critique, and synthesize in parallel
Data Copilot Chat with your own battery and critical minerals processing data
Sandbox Analyze and visualize market and knowledge base data

A $400B industry with no AI workflow tool.

Battery research is the fastest-growing materials science sector, yet researchers have zero purpose-built AI tools.

$0B+
Global battery market by 2030
200K+
Active battery researchers globally
$6B+
Annual industry R&D spend
15.8%
Materials market CAGR

Built, tested, and ready to ship.

Full-stack MVP deployed on AWS. Multi-LLM peer review pipeline operational. Graph-based RAG with pgvector similarity search.

0
Years of Market Data & Proprietary Battery Knowledge Base
0
Text Chunks + Embeddings
58 RPS
Sustained Load Capacity
99.96%
Uptime in Load Testing
Apr 2026
Battery Base
From $39/mo
Jun 2026
Data Foundry
From $39/mo
Q3 2026
Process Optimization & TEA
Custom
Q4 2026
IPSURA
Custom

Start free. Scale with your research.

14-day free trial — cancel anytime.

COMING SOON
Starter
$39/mo
  • AI Copilot
  • Sandbox analytics (EDA, PCA, Correlation, Raincloud, 3D)
  • 200 queries/month
  • 1 user seat

Pro-only during launch. Starter unlocks soon.

Coming Soon
Enterprise
CustomFrom $2,000/mo
  • Everything in Pro
  • REST API access & SSO
  • Custom knowledge base
  • Dedicated success manager
  • 99.9% SLA guarantee
Contact Sales

Founding member prices lock in forever. Cancel anytime.

Everything you get, at every tier.

Detailed feature-by-feature comparison across all plans.

Feature Starter
$39/mo
Pro
$149/mo
Enterprise
Custom
AI Copilot
Chat with AI (dataset + KB context)
Upload datasets for analysis
Plotly interactive charts
Data Sandbox
EDA (Exploratory Data Analysis)
PCA (Principal Component Analysis)
Correlation Matrix
Raincloud Plots
3D Scatter Visualization
Time-Series Forecasting5/monthUnlimitedUnlimited
AutoML (Classification/Regression)
LLM Peer Review
Multi-LLM Council (5 models)
Stage 1: Independent Research
Stage 2: Peer Ranking
Stage 3: Chairman Synthesis
Source Citations & Relevance Scores
Knowledge Base
Access global KB (168+ papers)
Custom document upload10 docs100 docsUnlimited
Custom project knowledge base
Usage & Limits
Monthly AI queries2002,000Unlimited
Dataset upload size50 MB50 MB200 MB
Data retention90 days1 yearCustom
Concurrent sessions13Unlimited
PDF report exportCustom branded
Team & Collaboration
User seats1Up to 5Unlimited
Shared conversations
Team admin dashboard
Enterprise Features — coming soon
REST API accessQ3 2026
SSO / SAML authenticationQ3 2026
Custom LLM fine-tuningQ4 2026
Webhooks & integrationsQ4 2026
SOC 2 compliance docsQ4 2026
Support
Community support
Email support48h response4h response
Dedicated success manager
SLA guarantee99.9% uptime
Onboarding & trainingIncluded
Annual Pricing
Annual price (save 40%)$29/mo$119/moNegotiated
Annual total$348/yr$1,428/yrCustom
Coming Soon Start Free Trial Contact Sales

The Bloomberg Terminal
for battery science is here.

Start your free 14-day trial today — cancel anytime.