Our Technology
ZalvaTech pairs proprietary, non-living engineered biomaterials with AnkiBind, an AI customization engine that matches biomaterial formulations to each site’s chemistry and geological context. The result is a low-energy, modular system designed to selectively bind target metals from tailings, low-grade ore, and mine-impacted water.
The platform is designed to produce cleaner water for reuse pathways, concentrated metal streams for recovery, and reduced-risk residuals that support more credible closure planning.
Stewardship
Reduce long‑term water liabilities with solutions built for the full asset lifecycle.
Safety & reliability
Non‑living biodegradable materials for stable performance without variability and steady and fast performance.
Practical deployment
Skid‑based modules; integrate with existing trains; extracting metals in hours‑to‑days.
Resource recovery
Turn captured metals into a monetizable stream while enabling water reuse.
Partnership
Transparent, data‑minimal engagement that respects site confidentiality and community expectations.
AI Platform for Biomaterial Optimization
How It Works
1. Site Profile
We evaluate site-specific chemistry, including major and minor ions, pH, target metals, competing metals, organics, flow ranges, and relevant geological context.
2. AI Customization
AnkiBind recommends site-specific biomaterial formulations and operating windows designed for high recovery, selectivity, reliability, and cost-performance trade-offs.
3. On-Site Capture
Non-living biomaterials bind target metals in a modular unit designed for phased scale-up and integration with existing treatment or recovery trains.
4. Outputs
Cleaner water for reuse pathways, concentrated metal streams for recovery, and reduced-risk residuals for improved closure and stewardship outcomes.
5. Learning Loop
Each tested site improves the platform’s understanding of chemistry-performance relationships, strengthening future recommendations.
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Modular by Design
Skid‑based units; phased scale‑up
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