Proven Results

Pilot Results

Proof-of-concept results from real operations — validated by measurable production data.

Featured Case — Named Customer

AMG — AI Autopilot for Strategic Minerals (Lithium)

Client

AMG Lithium — part of AMG Critical Materials N.V. (~3,600 employees worldwide). Name and brand used with permission.

Engagement

In 2025, Brainiall deployed AI Autopilot — its advisory, real-time process-optimization layer — in AMG's strategic minerals operations (lithium) in Brazil.

Scope

Engagement details under NDA. AMG Lithium operates across the lithium value chain — from spodumene mining in Brazil to battery-grade lithium hydroxide in Germany.

Named customer · 2025Brainiall's second publicly named engagement — strategic minerals, 2025.

Full case details Visit AMG Lithium

Featured Case Study — Published

AI Autopilot — Gold Grinding Circuit Optimization

Client

Canadian mid-tier gold mining facility

Challenge

Manual process control limiting throughput and consistency. Operators unable to maintain optimal parameters across shifting ore conditions 24/7.

Solution

AI Autopilot deployed for real-time process optimization. 25-day controlled test (Jan 10 - Feb 5, 2024) alternating AI vs manual control in 48-hour cycles. Partnership with SoftwareOne on AWS cloud infrastructure.

+6% throughput: 435 t/h (AI) vs 412 t/h (manual)Est. 2,694 additional ounces/year → ~$781K incremental annual profit (net of AISC). Pilot published in Brasil Mineral Magazine (Issue 441, July 2024). Results may vary with ore grade and operating conditions.

Full case details SoftwareOne case study Brasil Mineral #441 (Jul 2024)

Featured Case — Under NDA · Bioenergy

Predictive Models for Biodiesel Production

Client

Global agribusiness & bioenergy producer, South America. Client under NDA.

Engagement

Predictive models for biodiesel furnaces and reactors. Phase 1 delivered: 56.5M sensor readings over 10 months consolidated into a curated data pipeline, plus a virtual sensor with 96.3% R² and catalyst-margin insight.

Status

Phase 2 underway: yield, catalyst and quality models with continuous retraining and self-learning. Phase 2 results are preliminary.

Phase 1 delivered · Virtual sensor 96.3% R²Same AI stack beyond mining — predictive models with continuous retraining applied to bioenergy production.

Full case details

Featured Case — Under NDA · Heavy Equipment

Predictive Maintenance for Component Test Cells

Client

Global heavy-equipment manufacturer. Client under NDA.

Engagement

Predictive-maintenance model and dashboard for component test cells. Cells with ~70 sensors consolidated; per-variant baselines help separate bench infrastructure from component behavior.

Status

May–September 2026: data foundation delivered; model training underway, on schedule.

In progress · On schedule (May–Sep 2026)Predictive maintenance on discrete test benches — beyond continuous process industries.

Full case details

Products & Partnerships

SoftwareOne Partnership — AWS Cloud

~50% lower cloud TCO

Sales cycle reduced from 8 to 3 months via NextGen ISV program

Your operation could be next.

Get a free assessment to see where AI can deliver measurable gains in your specific process.

Request Free Assessment

AMG — AI Autopilot for Strategic Minerals (Lithium)

Client

AMG Lithium — part of AMG Critical Materials N.V. (~3,600 employees worldwide). Name and brand used with permission.

Engagement

In 2025, Brainiall deployed AI Autopilot — its advisory, real-time process-optimization layer — in AMG's strategic minerals operations (lithium) in Brazil.

Scope

Engagement details under NDA. AMG Lithium operates across the lithium value chain — from spodumene mining in Brazil to battery-grade lithium hydroxide in Germany.

Named customer · 2025Brainiall's second publicly named engagement — strategic minerals, 2025.

AI Autopilot — Gold Grinding Circuit Optimization

Client

Canadian mid-tier gold mining facility

Challenge

Manual process control limiting throughput and consistency. Operators unable to maintain optimal parameters across shifting ore conditions 24/7.

Solution

Predictive Models for Biodiesel Production

Client

Global agribusiness & bioenergy producer, South America. Client under NDA.

Engagement

Status

Phase 2 underway: yield, catalyst and quality models with continuous retraining and self-learning. Phase 2 results are preliminary.

Phase 1 delivered · Virtual sensor 96.3% R²Same AI stack beyond mining — predictive models with continuous retraining applied to bioenergy production.

Predictive Maintenance for Component Test Cells

Client

Global heavy-equipment manufacturer. Client under NDA.

Engagement

Predictive-maintenance model and dashboard for component test cells. Cells with ~70 sensors consolidated; per-variant baselines help separate bench infrastructure from component behavior.

Status

May–September 2026: data foundation delivered; model training underway, on schedule.

In progress · On schedule (May–Sep 2026)Predictive maintenance on discrete test benches — beyond continuous process industries.