Solutions

PoC works.
Production stalls.

You can't expose secrets. You can't audit decisions. You can't pass regulation. The last hurdle of AI adoption isn't model quality — it's the proof layer. Lemma resolves it structurally with a data-less design.

live in production since 2025 · Compatible standards: MCP / A2A / x402 / C2PA / W3C VC · ETHGlobal AI Agents 2026 Finalist

Challenge

Three walls
before AI goes live.

Many companies' AI PoCs succeed but stall before production. The reason isn't model selection — it's the lack of a proof base for using AI accountably as an organization.

Today's organization

Stalls at PoC

Caught at the secrecy / accountability / regulation walls, AI adoption never reaches operations. CISO, Legal, and Compliance have no choice but to slow it down.

With a proof layer

Ships to production

Facts get proven without handing over data, dissolving the three walls technically. CISO, Legal, and Compliance can accelerate adoption.

Wall 01

Secrecy wall

Confidential information can't be handed to AI. Running internal data through cloud AI exceeds the risk tolerance.

→ A data-less design: AI decides without touching the original.

Wall 02

Accountability wall

The basis of an AI decision can't be replayed or audited. CISO and internal audit won't sign off on production.

→ Record inputs, model, and process as independently verifiable cryptographic evidence.

Wall 03

Regulation wall

There's no way to prove conformity with EU AI Act, ISO 42001, or local rules. Legal blocks PoC from going live.

→ Audit-grade cryptographic evidence and selective disclosure make conformity demonstrable.

Scenarios

Disclose nothing.
Prove what matters.

Each operational line has data it doesn't want to hand over. Lemma's HIDE → PROVE structure lets AI judge and act while secrets stay put.

Industry use cases

The proof layer
fits operations.

Implementation scenarios indexed by industry and operational line. The 'how to integrate' details live in each Use Case.

Conceptual structure → Trust Layer (Why) →

Adoption

From Discovery
to production in 3 months.

Existing systems keep running. Coexistence design: drop the proof layer in front.

01 Discovery

Map the problem to the operation

Identify which operations need the proof layer and the integration points with existing systems in one session.

1 session · 60–90 min
02 PoC

Working integration in 4 weeks

Implement the proof layer for one target scenario, end-to-end through internal validation.

4 weeks · 1 scenario
03 Production

Roll out with one line added

Promote the PoC configuration as-is. Keep existing systems running; the proof layer sits in front.

Within 2 months · coexistence
// Add this in front of your existing AI call
import { prover } from '@lemmaoracle/sdk'

const { proof } = await prover.prove(claim)
// Pass the proof to AI. The original never leaves.
SDK public release scheduled 2026-06-24. Integration design happens in the Discovery Call.
Self-check

Checklist:
do you need a proof layer?

Check each item that applies. Three or more means it's worth a serious look at integrating Lemma.

0 / 8
Three or more matches means a proof layer is worth integrating. The Discovery Call returns a configuration tailored to your operational line.
Book a Discovery Call →
Next step

Move AI
to production.

Confidentiality, accountability, regulatory compliance — integrating from the proof layer first sets AI adoption's next move in motion.