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.
precursor pricing
cell BOM & per-kWh cost
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.
Weekly Spot Swings
Cobalt, nickel and lithium can move high single digits in a week — and your per-kWh cell cost moves with them.
Capex On The Line
Pre-FID gigafactory decisions hinge on precursor-price sensitivity envelopes that take days to rebuild by hand.
Every Recompute
Re-running a BOM and TEA across price and chemistry scenarios is a slow, error-prone, spreadsheet-bound slog.
15 minutes · your real cell chemistry · no slides
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.
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.
Bring your cell chemistry — we run a live recompute on it, not a slide deck.
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.
- Multi-model cross-checked copilot
- Curated battery knowledge base
- Source-attributed answers
- Time-series precursor & cell pricing
- Structured, queryable, versioned
- The proprietary moat
- AACE Class 3 guided wizard
- Cost waterfall & per-kWh
- Live-pricing recompute
- Patent whitespace mapping
- Competitor cost-curve context
- Filing-risk signals
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.
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 demo reproduces its references exactly: $100.92/kWh pack (Argonne BatPaC 5.2, graphite basis) and — separately — $19.57/kWh anode from our in-house scaffold-silicon cost model, with mass & energy-balance closure and scenario + sensitivity (tornado).
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.
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.
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.
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.
Built around a working cost model —
not a roadmap.
The numbers below are calibration points — public and in-house reference models the platform's engine reproduces exactly. We're opening a small design-partner cohort to run real cell BOMs before broad release.
Built by people who've done this.
Verified by the data.
Founded on domain depth
Delta3CoreTec LLC was built specifically around battery materials cost modeling. The team combines electrochemistry, supply-chain finance, and software — not a generalist AI lab retrofitting a chatbot.
Domain-firstMethodology you can cite
Cost estimates follow the AACE Class 3 framework. The demo model — calibrated to Argonne's public BatPaC 5.2 and our in-house scaffold-silicon cost model — closes mass & energy balance and produces waterfall-ready per-kWh output — numbers your board can put in a deck.
AACE Class 3 · BatPaC 5.2 calibratedIP and data stay yours
Your data stays yours. Enterprise gets fully isolated, single-tenant deployment. Team runs on shared infrastructure with row-level separation. Every design-partner pilot is NDA-covered before anything gets shared.
Single-tenant · EAR-aware · NDASee it on your own cell chemistry.
A 15-minute demo — a live price × TEA recompute, not a slide.
Built for teams
that buy intelligence.
Two doors: a demo to see it on your chemistry, and a design-partner program for researchers who want early access. The data × TEA join is what teams pay for.
PIs, grad & national-lab researchers — application-based
- Battery Base copilot
- Multi-model cross-check
- Curated knowledge base
- Co-authored case study required
- NDA-covered 2-week pilot
Intake controlled. Each partner owes a reference or co-authored case study.
Reserve your place — price locked 36 months
- Battery Base copilot access
- Sandbox & data exploration
- Live commodity pricing
- 2,000 queries / month
- Email support
First 200 seats. Price locked 36 months from reservation. No SSO, API, or dedicated feeds.
R&D Director · 5–15 seats
- Process & TEA wizard
- Cell BOM × price recompute
- Project workspaces
- SSO / SAML & audit log
- REST API quota
- Onboarding & priority support
OEM / cell-maker procurement & strategy
- Everything in Team
- Single-tenant deployment
- EAR-aware, isolated tenancy
- Dedicated market_prices feeds
- MSA & SLA
Founding-seat price locked for 36 months from reservation. Cancel anytime.
What's in each tier, at a glance.
The headline differences. Full feature-by-feature breakdown, including deployment & security detail and roadmap items, lives on the dedicated pricing page.
| Feature |
Design Partner
Invite only
|
Team
From $25K/yr
|
Enterprise
From $100K/yr
|
|---|---|---|---|
| Multi-model cross-check copilot | ✓ | ✓ | ✓ |
| Cell BOM × price recompute | — | ✓ | ✓ |
| AACE Class 3 TEA wizard | — | ✓ | ✓ |
| SSO / SAML & REST API | — | ✓ | ✓ |
| Single-tenant deployment | — | — | ✓ |
| MSA & SLA | — | — | ✓ |
| Apply | Book a Demo | Contact Sales |
See the full comparison, pricing FAQ, and how pricing works →
Questions we get
every time.
The four things R&D Directors and procurement leads ask before booking.
Which cell chemistries do you support?
The current demo model runs NMC-811 on the public BatPaC 5.2 reference basis. LFP, NMC-622, NCA, and custom chemistry inputs are on the near-term roadmap. On the call, bring your chemistry — we'll show what the cost stack looks like for your specific BOM.
Who sees my data and IP?
Your data stays yours. Enterprise gets fully isolated, single-tenant deployment. Team runs on shared infrastructure with row-level separation. Every design-partner pilot is NDA-covered before anything gets shared.
What actually happens on the demo call?
15 minutes, no slides. You bring a cell chemistry or cost scenario; we run a live price × TEA recompute on it. You'll see the cost waterfall rebuild in under 2 seconds as a commodity price moves. We'll ask about your current workflow and whether the tool fits.
How quickly can our team be up and running?
Design partners are running within 2 weeks of signing an NDA. Full Team onboarding — project workspace setup and data feed configuration — typically takes 1–2 weeks post-contract.
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.
15 minutes · your chemistry · no deck