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Built for OEM & cell-maker R&D, strategy & procurement

Cost & supply intelligence
for battery materials & cells.

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

Wensura joins proprietary, time-series materials pricing to your techno-economic models — so you can recompute a cell BOM and per-kWh cost the moment cobalt, nickel, or lithium moves, with source attribution your board will accept.

0
Time-series battery materials &
precursor pricing
price × TEA
Live prices joined to your
cell BOM & per-kWh cost
AACE Class 3
Techno-economic estimates,
cost-waterfall ready

Your cell cost model is stale
the moment the market moves.

R&D, strategy and procurement teams rebuild cell BOMs and techno-economic models by hand every time cobalt, nickel or lithium moves — to defend capex to the board and arm supplier negotiations.

+8%

Weekly Spot Swings

Cobalt, nickel and lithium can move high single digits in a week — and your per-kWh cell cost moves with them.

$Bn

Capex On The Line

Pre-FID gigafactory decisions hinge on precursor-price sensitivity envelopes that take days to rebuild by hand.

Manual

Every Recompute

Re-running a BOM and TEA across price and chemistry scenarios is a slow, error-prone, spreadsheet-bound slog.

A price moves.
Your cell reprices itself.

Wensura joins live materials pricing to your techno-economic model. Pick a market scenario and watch the per-kWh cost stack rebuild — what used to be a spreadsheet afternoon. Preview of the Process & TEA module, currently in build.

Preview
Today's spot prices · NMC-811, 2030 model
$111.46
per kWh · pack level
baseline
Anode-only: $19.57 / kWh
Preview · Process & TEA in build JCAM v7 demo model · illustrative cost stack
And every copilot answer is multi-model cross-checked
1 Independent analysis 2 Blind cross-review 3 Lead synthesis

Several models answer independently, score each other blind, and one synthesizes the result with source attribution — so qualitative answers don't rest on a single model's guess. Not a literature-search tool.

A data platform, not a chatbot.
Prices × TEA, with a copilot on top.

The moat is a proprietary, structured, time-series materials-pricing corpus joined to your techno-economic models. The multi-model copilot sits on top of that join — it's the interface, not the asset.

market_prices × TEA — one defensible join
Battery Base
Live
  • Multi-model cross-checked copilot
  • Curated battery knowledge base
  • Source-attributed answers
Academic & Pro
Market Data
Live · Core
  • Time-series precursor & cell pricing
  • Structured, queryable, versioned
  • The proprietary moat
Team & Enterprise
Process & TEA
In Build
  • AACE Class 3 guided wizard
  • Cost waterfall & per-kWh
  • Live-pricing recompute
Team & Enterprise
Patent & IP Intelligence
Roadmap
  • Patent whitespace mapping
  • Competitor cost-curve context
  • Filing-risk signals
Enterprise / roadmap
Enterprise deployment
Single-tenant · EAR-aware · dedicated market_prices feeds · MSA · custom pricing
Live · Core

Market Data — the moat

A proprietary, structured, time-series corpus of battery-materials and precursor pricing. This is the defensible asset: not the papers, not the model — the priced, versioned data that ChatGPT and Elicit can't replicate.

Time-seriesPrecursor & cell pricesVersioned & queryableDedicated feeds (Ent)
In Build

Process & TEA

An AACE Class 3 guided techno-economic wizard. Join live commodity prices to your cell BOM and watch the per-kWh cost waterfall rebuild — the JCAM v7 demo lands at $19.57/kWh anode and $111.46/kWh pack, with mass & energy-balance closure and scenario + sensitivity (tornado).

AACE Class 3 wizardCost waterfall & per-kWhLive-pricing recomputeScenario & sensitivityM&E balance closure
Live

Battery Base copilot

A multi-model cross-checked research copilot over a curated battery knowledge base. Every answer is independently produced, blind cross-reviewed, and synthesized with source attribution — the trust layer on top of the data, free for academics as lead-gen.

Multi-model cross-checkCurated knowledge baseSource attributionFree for academics
Roadmap
Patent & IP Intelligence module

Patent & IP Intelligence

Patent whitespace mapping and competitor cost-curve context, built on the same corpus. On the roadmap as an Enterprise add-on — used internally for freedom-to-operate first, then surfaced once design partners have proven the workflow.

Whitespace mappingCompetitor contextFiling-risk signalsEnterprise / roadmap

Four pieces, one defensible join.

The proprietary price corpus and the TEA engine are the product. The knowledge base and the multi-model cross-check make the copilot trustworthy on top of them.

Market Price Corpus Proprietary time-series materials & precursor pricing — the asset.
TEA Engine Joins live prices to your cell BOM and per-kWh cost model.
RAG Knowledge Base Curated battery literature plus your project context, with live pricing folded in.
Multi-model cross-check Every copilot answer is checked across models, then source-attributed.

A narrow wedge of high-value accounts — not a headcount play.

The buyer is the R&D Director, Head of Materials Strategy, or Procurement & BD lead at an OEM or cell-maker — roughly 280 accounts that buy cost & supply intelligence, not 200K bench scientists.

$0
Battery materials & cell market by 2030
~280
OEM & cell-maker accounts in the wedge
$50–250K
Per team, per year — typical deal range
15.8%
Battery supply-chain CAGR

Built around a working cost model —
not a roadmap.

The numbers below are from the JCAM v7 demo model the platform reproduces today. We're opening a small design-partner cohort to run real cell BOMs before broad release.

$19.57
Modeled anode cost / kWh (JCAM v7)
$111.46
Modeled pack cost / kWh (JCAM v7)
<2s
Target BOM recompute on a price move
AACE 3
Cost-estimate class, waterfall-ready
Status
Battery Base
Multi-model cross-checked copilot — live.
Status
Market Data
Proprietary time-series price corpus — live and expanding.
In Build
Process & TEA
AACE Class 3 wizard, cost waterfall, live-pricing recompute.
Design Partners
2-week pilot
Run your real cell BOM. Free, under NDA, co-authored case study.

Free for academics.
Built for teams that buy.

Self-serve for individuals; a sales conversation for the teams the platform is actually built for. The copilot is lead-gen — the data × TEA join is what teams pay for.

Academic
Free

PIs, grad & national-lab researchers

  • Battery Base copilot
  • Multi-model cross-check
  • Curated knowledge base
  • Capped monthly queries
  • Attribution required
Coming soon
Pro
$149/mo

Self-serve, single seat

  • Everything in Academic
  • Sandbox & data exploration
  • Live commodity pricing
  • 2,000 queries / month
  • Email support
Start Pro

Founding cohort: first 200 seats, price locked 36 months. Excludes SSO, API & dedicated data feeds.

Enterprise
$100K+/yr

OEM / cell-maker procurement & strategy

  • Everything in Team
  • Single-tenant deployment
  • EAR-aware, isolated tenancy
  • Dedicated market_prices feeds
  • MSA & SLA
Contact Sales

Founding-cohort Pro price locked for 36 months. Cancel anytime.

What's in each tier.

Feature Academic
Free
Pro
$149/mo
Team
From $25K/yr
Enterprise
From $100K/yr
Multi-Model Cross-Check
5-model council
Stage 1 — independent research
Stage 2 — blind cross-review
Stage 3 — lead synthesis
Source attribution
Cost & Supply Intelligence
Live commodity pricingDedicated feeds
Cell BOM × price recompute
AACE Class 3 TEA wizard
Cost waterfall & per-kWh
Mass & energy-balance closure
Scenario & sensitivity (tornado)
Knowledge Base
Curated battery knowledge baseCapped
Sandboxed data exploration
Deployment & Security
Single-tenant deployment
EAR-aware tenancy
Dedicated market_prices feeds
SSO / SAML
REST API
MSA & SLA
Roadmap
Patent & IP IntelligenceRoadmapRoadmap
Corpus-license APIRoadmapRoadmap
Custom LLM fine-tuningRoadmapRoadmap
SOC 2RoadmapRoadmap
Coming soon Start Pro Book a Demo Contact Sales

Reprice your cell BOM
the moment the market moves.

Book a 15-minute demo on your real cell chemistry — watch a live price × TEA recompute, not a slide.