Robots for E-Waste RAM Recovery: How Nantul Works

Why Robots for E-Waste RAM Recovery Target Circuit Boards Before Shredding

Robots for e-waste RAM recovery address a structural inefficiency in traditional electronics recycling, where high-value integrated circuits (ICs) are destroyed alongside low-value substrate materials. Conventional e-waste facilities crush whole printed circuit boards into scrap metal flakes, separating base elements like copper, tin, and gold through pyrometallurgical or hydrometallurgical refining. Smelting recovers raw elements, but it destroys the fabricated silicon structure of chips that cost hundreds of times more to manufacture than the scrap metal value of their constituent materials.

Manual desoldering has historically served as the only alternative for recovering working microchips from discarded electronics, but labor expenses restrict manual harvesting to low-wage regions handling specialized boards. Sina Ghashghaei, the founder of Tuurny, has stated that manual chip recovery is expensive and difficult to scale, arguing that his automated platform creates a new supply chain from old feedstock that did not exist before. Removing technicians from repetitive, toxic heating tasks also eliminates exposure to lead-bearing solder fumes that occur when older boards are reworked.

This component-level extraction represents a different tier of recycling than whole-device mechanical dismantling. In our overview of robotic disassembly lines, machines like Apple's Daisy strip whole enclosures, batteries, and haptic motors from branded consumer phones at high volumes. Tuurny operates further down the processing line, ignoring the chassis to treat the populated circuit board itself as the raw input for micro-harvesting.

How the Nantul Modular Hardware Feeds and Identifies Printed Circuit Boards

The physical architecture of the Nantul system relies on three interconnected modular stations that separate board loading from chip extraction. A dedicated robotic arm acts as the primary feed mechanism, transferring raw circuit boards from input staging bins directly into the processing enclosure. Feeding boards automatically allows the system to sustain continuous operation without requiring an operator to position individual workpieces beneath thermal tooling.

Inside the cell, the board transfers to two tabletop extraction units built with mechanical structures similar to computer numerical control (CNC) milling machines. Instead of mounting cutting spindles, these CNC-style stages carry precision desoldering heads and optical sensors across the Cartesian plane of the board. A neural network inspects the surface to detect component boundaries, cross-referencing surface markings against an internal parts catalog to locate targeted memory modules.

Vision processing and machine coordination run on an Nvidia Jetson Nano system-on-module integrated with off-the-shelf electronics and proprietary motion firmware. Tuurny does not publish exact image identification accuracy rates or parts catalog sizes on its site, so prospective recyclers should confirm current component recognition capabilities directly on Tuurny's official site before planning facility layouts.

Desoldering Integrated Circuits Using Thermal Profiles and Controlled Suction

Nantul removes memory components from circuit boards by pairing a targeted thermal profile with pneumatic suction rather than applying brute mechanical force. Every surface-mount package requires a specific heating window to liquify solder joints without exceeding the thermal limits of the internal silicon die or packaging resin. If a heating head applies excessive temperature or remains in place for too many seconds, the silicon wafer suffers permanent thermal stress that ruins its operational lifespan.

Once the computer vision system identifies a target chip, the Cartesian gantry positions the thermal head directly over the solder points of the package. Controlled thermal elements bring the solder to its melting point while a vacuum nozzle applies upward suction to lift the chip the instant the metal bond releases. This synchronous pull avoids mechanical prying, preventing lifted copper traces or cracked packaging corners that render recycled memory unsellable.

After extraction, the robotic tooling transfers the loosened integrated circuit to an automated binning station. The system reads package model codes and sorts harvested units into material-specific collections, producing organized batches of uniform memory chips that can be tested, re-balled, and resold into aftermarket repair or low-cost manufacturing channels.

Throughput Benchmarks for Robots for E-Waste RAM Recovery

Tuurny reports that each Nantul extraction station can recover up to 300 intact RAM integrated circuits per hour under continuous operation. That production rate translates to roughly 12 seconds per harvested component, covering board alignment, localized heating, vacuum separation, and sorting bin deposition. Because the installation uses modular tabletop units, an operator can scale capacity by placing multiple CNC-style cells adjacent to a shared loading arm rather than engineering a massive custom automation line.

Operating at 300 units per hour changes the operating economics of circuit board recycling by prioritizing silicon resale over scrap metal weight. Smelting printed circuit boards generates modest margins driven by commodity metal market prices, which fluctuate based on international spot valuations. Extracting working dynamic RAM or flash storage chips recovers finished semiconductor value, generating significantly higher revenue per board provided that electrical testing confirms the chips survived extraction.

The underlying computing hardware keeps capital equipment costs lower than conventional industrial pick-and-place infrastructure. By deploying Nvidia Jetson Nano compute modules paired with standard off-the-shelf automation components, the machine limits replacement part expenses. Tuurny has not published official machine pricing, mean-time-between-failure data, or electrical yield percentages for desoldered chips, so operators must verify current hardware specifications on Tuurny's web portal.

Commercial Deployments and Grant Milestones Reported by Tuurny

Commercial adoption of the Nantul system centers on a multi-unit deployment contract with Areera, a television recycling operation based in the United Kingdom. Tuurny secured a six-figure contract with Areera to install dozens of Nantul machines, with commercial deployment scheduled to begin in early 2027. Areera processes roughly 1,500 tonnes of televisions each month, generating a steady supply of power and processing boards that carry reusable memory modules and passive circuitry.

Beyond commercial recycling contracts, Tuurny received a grant in 2025 funded by the National Aeronautics and Space Administration (NASA) to engineer an artificial intelligence (AI) circuit-board repair assistant. While Tuurny has not published the specific dollar value of this NASA-funded grant, the project focuses on applying the firm's vision recognition and thermal desoldering techniques to component-level repair tasks rather than bulk recycling alone.

Broader operational metrics, including Tuurny's founding year, headcount, and total venture financing beyond the NASA grant, remain unpublished by the startup. Facilities tracking automated recycling technologies should monitor Tuurny's website as the early 2027 Areera deployment approaches to evaluate production-scale reliability data.

Operational Checks Before Buying Robots for E-Waste RAM Recovery

Evaluating chip-harvesting claims requires looking past mechanical cycle speeds to examine component electrical survival rates. At The Bot Scout, we advise recycling operations to audit three technical checkpoints before assuming a desoldering robot can replace a traditional shredding pipeline: verified thermal yield, solder alloy flexibility, and downstream chip testing infrastructure.

The first checkpoint is post-extraction functional yield. Pulling 300 chips per hour from board substrates delivers zero commercial benefit if thermal shock renders 40 percent of the harvested silicon electrically dead. Ask any equipment supplier for third-party automated test equipment (ATE) reports that measure silicon degradation, gate oxide breakdown, and retention performance across thousands of thermal desoldering cycles.

The second checkpoint is the system's ability to adjust for varied solder chemistries across mixed e-waste streams. Lead-based solders melt around 183 degrees Celsius, whereas modern lead-free alloys like SAC305 require temperatures between 217 and 220 degrees Celsius. If a desoldering machine relies on rigid heating recipes, it will either underheat lead-free joints, tearing PCB pads during suction, or overheat leaded boards, destroying good silicon.

The third checkpoint is the downstream market pipeline for the recovered chips. Unless your facility operates automated chip testing, cleaning, and tape-and-reel packaging equipment, harvested ICs must be sold to secondary brokers at a discount. We recommend calculating net margin after accounting for secondary testing and re-balling costs rather than assuming harvested chips command retail spot prices.

• Demand certified test reports showing electrical survival rates for desoldered RAM across both legacy leaded and modern lead-free circuit boards.
• Measure the system's thermal profile accuracy to verify it does not exceed maximum manufacturer die exposure limits during desoldering.
• Factor in the cost of post-extraction testing, lead re-balling, and static-safe packaging before projecting circular-economy chip margins.
• Confirm whether the computer vision catalog supports the specific memory packages and board form factors dominating your incoming waste stream.