AI for industrial procurement

Reduce your BOM costs with AI

Siembra analyzes your tenders using AI and recommends the best scenario.

With each cycle, your price reference automatically enhances and your decisions gain precision.

Sow analyzes your tenders using AI and recommends the best scenario.

With each cycle, your pricing reference automatically enriches and your decisions gain in precision.

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Problem

Get impactful results quickly.

Quotes arrive in incompatible formats

PDFs, Excel files, emails... hours wasted on data cleaning before you can even begin to compare them.

A pricing intelligence that disappears after each decision

Rejected offers, alternatives dismissed, negotiated prices. This data exists but is never used as a reference. It is impossible to know if a price is fair.

Optimising the allocation between suppliers remains out of reach.

Modeling the best purchasing scenario takes time that you don't have. Savings are left on the table.

How it works

Organize your quotes. Manage your costs. Optimize your purchasing.

IMPORT

Import your quotes and build your price list

PDF, Excel, Emails - all formats are accepted.

Launch a RFQ from the platform to update your prices.

Each quote enriches your price reference

NORMALIZE

Standardize the quote data instantly

Price, lead times, MOQ, incoterms automatically extracted

Line-by-line comparison, regardless of the source format

Discrepancies and unfulfilled clauses reported automatically

AI native

Standardize the quote data instantly

CONTROL

Manage your BOM with full cost visibility

Set a target cost per item

Each reference is benchmarked against your real-time history

Immediately identify off-target references

OPTIMIZE

Build your buying scenarios and save money

Define your constraints: MOQ, budget, deadlines, geography

Instantly generate multi-constrained allocation scenarios.

Discover your potential earnings before confirming

ROI

Built for innovative industrial procurement teams

Siembra clients measure an impact from the very first months with increasing benefits as the AI co-pilot becomes enriched through use.

30%

BOM cost reduction

The multi-supplier allocation reveals hidden savings in a single-attribute model.

30%

BOM cost reduction

The multi-supplier allocation reveals hidden savings in a single-attribute model.

30%

BOM cost reduction

The multi-supplier allocation reveals hidden savings in a single-attribute model.

8h+

Saved by buyer

Save 8 hours per week per buyer by automating your tasks with AI.

8h+

Saved by buyer

Save 8 hours per week per buyer by automating your tasks with AI.

More suppliers compared

Accelerate the analysis and comparison process to put more suppliers in competition.

More suppliers compared

Accelerate the analysis and comparison process to put more suppliers in competition.

∞

Incremental pricing intelligence

Each quote enriches your repository. Each cycle starts from a more solid foundation than the previous one.

∞

Incremental pricing intelligence

Each quote enriches your repository. Each cycle starts from a more solid foundation than the previous one.

∞

Incremental pricing intelligence

Each quote enriches your repository. Each cycle starts from a more solid foundation than the previous one.

Get impactful results quickly.

Share with us historical data and discover your potential gains for 2026.

Book a demo

Blog

See what's new.

Press, News, Blog Posts.

Go to Blog

Article

Why every sourcing decision ends up in a spreadsheet?

15 Apr 2026

Equity traders have Bloomberg. Industrial buyers have Excel.

20 Mar 2026